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School of Science, Technology, Engineering & Math (STEM)

Data Science

Online Bachelor of Science in Data Science (BS)

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About This Program

The Bachelor of Science in Data Science offers students technical depth in data science. Students pursuing this degree will cover the foundational aspects of data science, then progress through more difficult tools, techniques, and methodologies used in data science. Students can tailor their program of study through concentrations including deep learning and business intelligence. Upon completion of this program, students will be able to confidently approach problems or challenges in virtually any discipline: business, finance or economics, engineering, healthcare, or the physical or social sciences. Graduates will be able to deliver reproducible data analyses and solutions. Graduates will understand ethical, privacy, and security considerations in the conduct of data analyses. Graduates will be able to communicate the story in the data through the use of data visualization techniques.

This program has specific admission requirements.

What You Will Do

  1. Recognize requirements for data. Efficiently collect the required data from a variety of sources and organize it appropriately.
  2. Determine the best method to conduct an analysis for a specified situation and given data. Conduct the analysis or analyses and completely evaluate all aspects of the results.
  3. Deliver reproducible analyses and results.
  4. Effectively communicate any or all aspects of an analysis and all aspects of the results of that analysis to either or both a technical or non-technical audience. Information communicated could include the method used for analysis, any parameter settings that would affect the analysis or results, and an error analysis, etc.
  5. Explain the ethical, privacy, and security issues related to data science analyses and communication.
  6. Obtain real-world experience through project-based coursework and the Senior Project.
  7. Stand out with a specific technical area of expertise by completing a concentration in any of the available concentrations.

View Program Outcome Assessment Results

Degree at a Glance

Number of Credits
120
Transfer up to 90 credits1
Cost Per Credit
$350 | $250*
$315**
*with Preferred Military Rate
**with Veteran Grant or APUS Opportunity Grant
Courses Start Monthly
Online
and vary from 8 to 16 weeks

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Program Requirements Printable Catalog Version

Students must choose a concentration for this degree program:

The Flex Concentration offers students breadth in data science. Students will learn foundational material in machine learning, sentiment analysis, advanced methods in data science, and simulation. This concentration is a good option for students intending to go onto a master's program in data science where they can pursue in-depth knowledge.

Objectives:

Upon successful completion of this concentration, the student will be able to:

  • Conduct a variety of data analyses using appropriate tools and methods for specified problems or challenges.
  • Explain why the method and tools selected to conduct an analysis are the best for that specific analysis.
  • Develop and present final reports on data analyses.

Must take all courses for this section.

Course ID: 5116

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This course introduces students to machine learning. If provides students with a broad overview of machine learning topics for both supervised and unsupervised methods. The topics typically include classification, decision trees, association rule-based classification, support vector machines, regression (linear, logistic and Bayesian), clustering, k-Nearest Neighbor, principal component analysis (PCA), Feature Selection, Linear Discriminant Analysis (LDA) and Factor Analysis. Additional topics can include ensemble methods such as stacking, bagging and boosting. (Prerequisite: DATS311)

Course ID: 5142

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This course follows the Machine Learning I course and builds on the topics originally covered. In this course, students will reconsider the various types of machine learning but now in the context of increasing their efficacy. That is, the focus will be on increasing the efficiency and effectiveness as well as the accuracy of the machine learning methods by evaluating their output and conducting error analyses on their results. Furthermore, the results from the various machine learning methods will be examined, e.g. by ROC, to determine their effectiveness in solving a given problem. Errors will be reported using a variety of methods including misclassification, the Gini Index, and entropy. Students will learn how to adjust a variety of parameters and/or hyperparameters to increase the efficiency of running machine learning methods as well as the accuracy of their output. In addition, underfitting and overfitting will be considered. Regularization and optimization will be introduced. (Prerequisite: DATS331)

Course ID: 5144

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Sentiment analysis is a specialized form of natural language process intended to determine opinions expressed in written text. This is a lab-based course designed to implement topics covered in labs. The topics covered include the concepts and theories behind Sentiment Analysis. Discussion of the research approaches taken in Sentiment Analysis, knowledge-based techniques, statistical methods, supervised and unsupervised learning, and hybrid approaches. Tasks in Sentiment Analysis will be discussed and implemented through labs, e.g. classifying polarity, and determining an emotional scale. Students will learn how to generate a Sentiment Lexicon. (Prerequisites: MATH302, DATS411)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 5146

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This course provides the theoretical foundations, tools and methods used to implement solutions, and examples of various problems and their solutions using discrete event simulations, continuous simulation, and agent-based simulation. (Prerequisite: DATS371)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5148

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This course covers topics in advanced topics and methods such as unstructured data/information and big data. The theoretical background required for the integration of data mining and text analytics or text mining are explored. Students are exposed to additional topics such as the implementation and use of data lakes and ontology evaluation. (Prerequisites: DATS200, DATS201, DATS301)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 4550

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This course examines various linear optimization concepts and problem solving techniques commonly found in manufacturing, transportation, and military operations. The goal of optimization is to find the best possible solution to a problem given a number of constraints. The emphasis of this course is problem solving. This course includes the construction and analysis of real world problems and the application of various linear optimization techniques to find an optimal solution. An optimization software package will also be presented and used to solve problems. This course covers a wide range of linear optimization techniques. Topics include linear programming; the simplex algorithm and goal programming; sensitivity analysis and duality; problems in transportation and transshipment; network models; and integer programming. (Prerequisite: MATH220)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

The Concentration in Deep Learning first provides foundational knowledge. Probabilistic graphical models provide the basis for designing artificial neural networks. The tools and methods of machine learning covered continue developing foundational knowledge. Next, deep learning, that has grown from the study of artificial neural networks, is studied in detail. Last, students can choose to learn about advanced methods in data science or today’s state-of-the-art programs in artificial neural networks, e.g. TensorFlow® by the Google Brain Team operated by Jupyter® notebooks in Python®.

TensorFlow® is a registered trademark of Google, Inc.

Jupyter® is a registered trademark of NumFOCUS, Inc.

Python® is a registered trademark of Python Software Foundation.

Objectives:

Upon successful completion of this concentration, the student will be able to:

  • Conduct analyses using appropriate machine learning tools.
  • Design, develop, and utilize a variety of artificial neural networks including recurrent and convolutional networks.
  • Explain the basic principles of deep learning, e.g. the use of multiple types of layers, optimization, and hyperparameters.

Must take all courses for this section.

Course ID: 5315

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This course provides an overview of types of problems that can be used with machine learning, as well as different variations of machine-learned methods such as supervised/unsupervised, batch/online, etc. The course discusses the main challenges of machine learning, notably the issue of data quality, as well as overfitting and underfitting data. (Prerequisite: DATS211 or CSCI345).
Registration Dates Course Dates Session Weeks
11/28/24 - 05/02/25 05/05/25 - 08/24/25 Spring 2025 Session K 16 Week session
12/30/24 - 05/30/25 06/02/25 - 09/21/25 Spring 2025 Session C 16 Week session

Course ID: 5316

|
This course is focused on more advanced topics in machine learning, including clustering, dimensionality reduction, and the emerging applications of machine learning such as recommender systems, search in unstructured data, and time series analysis. (Prerequisite: DATS331 or CSCI381)
Registration Dates Course Dates Session Weeks
11/28/24 - 05/02/25 05/05/25 - 08/24/25 Spring 2025 Session K 16 Week session

Course ID: 5325

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This course provides students with in-depth knowledge and skills in computer science, including the history of AI and the processes involved in training machines to learn. It covers various search methods and why they are important to AI as well as specific AI applications Topics covered enable students to continue their study of artificial intelligence. Through readings, assignments, and laboratories in which they learn to conduct analyses to meet specified objectives, students gain hands-on experience. (Prerequisite: CSCI381)
Registration Dates Course Dates Session Weeks
11/28/24 - 05/02/25 05/05/25 - 08/24/25 Spring 2025 Session K 16 Week session

Course ID: 5326

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The primary focus of this course is on neural networks and deep learning networks such as CNN, RNN, LSTM, and industry-accepted libraries required to train these models, such as TensorFlow and Keras. It also covers different variations of training and transporting these models using attention and transformers. (Prerequisite: CSCI484)
Registration Dates Course Dates Session Weeks
11/28/24 - 05/02/25 05/05/25 - 08/24/25 Spring 2025 Session K 16 Week session

Course ID: 5143

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This course focuses on the use of probabilistic graphical models to represent complex domains using probability distributions. Using probabilistic graphical models to model large collections of random variables with complex interactions. Students will learn the key formalisms and main techniques in building probabilistic graphical models. And, how to use them to make predictions and support decision-making under uncertainty. Bayesian networks, directed and undirected graphical models, as well as their temporal extensions will be covered. Students will be introduced to causation and how it can be modeled. (Prerequisites: MATH302, MATH328, DATS301)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Choose 3 credit hours from this section.

Course ID: 5148

|
This course covers topics in advanced topics and methods such as unstructured data/information and big data. The theoretical background required for the integration of data mining and text analytics or text mining are explored. Students are exposed to additional topics such as the implementation and use of data lakes and ontology evaluation. (Prerequisites: DATS200, DATS201, DATS301)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 5151

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The Google Brain Team originally developed TensorFlow as a proprietary code. Today, TensorFlow is open source and freely available. This course teaches students how to use TensorFlow to build and run artificial neural networks. Convolutional and recurrent networks will be included as well regression. (Prerequisite: DATS431. DATS432 strongly recommended)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

The Business Intelligence Concentration is intended for students with professional interests in business analytics and prediction/optimization. The courses included in this concentration provide the foundation for this path. Students will study relevant aspects of business as well as data analysis tools and methods required to transform data into knowledge that supports actionable decision-making.

Objectives:

Upon successful completion of this concentration, the student will be able to:

  • Explain how data is used to form knowledge in business applications.
  • Describe the use of data analytics to generate descriptive and predictive analyses.
  • Explain how optimization can be used to create regions of solutions for business problems.
  • Evaluate risk associated with predictive analytics.

Must take all courses for this section.

Course ID: 4372

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This course is an overview of accounting concepts used by managers in a business environment intended for non-accounting majors with no accounting background. Topics include accounting concepts, users of accounting information, elements and purpose of financial statements, accrual accounting, internal control and basic financial analysis. Students must have access to Microsoft Word® and Microsoft Excel® software. Microsoft Word® Microsoft Excel® are registered trademarks of Microsoft Corporation.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 2887

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This course is designed to acquaint the student with the terminology, organization, and function of the American business system. The course will give the student a broad background about the contemporary American and global business environments as well as considering different business organizations, management principles and strategies. Topics covered include marketing, finance, personnel, customer relations, production and operations, e-business, world trade ventures, internal information systems and decision-making processes.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4592

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This course is designed to provide a foundational knowledge in analytics, and how it is used in business to strengthen the decision-making process. As technology has changed the landscape of business processes, it has also created a necessity for decision-makers to have the ability to use various tools to create, manipulate, and report data. Students will learn operational statistical theories, software options to work with data, and begin to integrate concepts into objective decision-making.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4593

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This course is designed to provide a intermediate knowledge in analytics, and how it is used in business to strengthen the decision-making process. Students will focus on managerial level of statistical methods, advanced Excel functionality, and continue to work on applying concept to strengthen the ability to integrate concepts into objective decision-making processes. (Prerequisite: BUSN250)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4263

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This course provides students opportunities for analysis, synthesis, and application of critical thinking applied to decision making at all levels in an organization. This course equips students with critical thinking skills to identify problems utilizing rational decision making. Students learn to solve organizational problems and provide strategic direction based on critical thinking.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Choose 3 credit hours from this section.

Course ID: 4594

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This course is designed to lead students through various projects and business problem scenarios to enable them to apply concepts learned to quantify elements of alternative elimination, assess data pertinent to the overall decision-making process, and to gain and understanding of the different business functions and how data is used differently in each area. This course requires Microsoft Excel® 2010 or higher. (Prerequisite: BUSN350) Microsoft Excel® is a registered trademark of Microsoft Corporation.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 5155

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This course provides students with knowledge about the complete risk assessment process. It begins with in-depth discussions about the mathematical and computational models supporting risk assessment. Then, covers a variety of situations where risk can have a great impact, e.g. extreme events. Hierarchical holographic modeling and related models are used to analyze subsystem risks and how those risks compound to affect an entire system. (Prerequisites: MATH328, DATS301)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Select 2 course(s) from the following:

Course ID: 2895

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This course develops interpersonal, group, and presentational communication skills that are applicable in personal and professional cross-cultural relationships, and focuses on differences in values, message systems, and communication rules across cultural boundaries and in multicultural settings.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3694

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This course is a contemporary study of popular culture in America – its development and characteristics, its role in shaping our individual lives and key social institutions; and its broad effects on our globalizing world. The course is designed around the interdisciplinary nature of cultural studies, and students will learn how to use key concepts and theories to examine popular culture from a number of different fields including Sociology, Anthropology, Communications, History, Cultural Studies, English, Women’s Studies, Ethnic Studies, and American Studies. Students will develop the skills to analyze the reciprocal relationship between culture and key stratification factors such as gender, race, ethnicity, class, age, region and sexuality. The course will cover many facets of popular culture from all forms of media, to sports, fashion, and the influence of technology. Students will learn to situate popular culture within its social, historical, political, and economic contexts and their personal lives.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3725

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Microeconomics is an overview course that covers how households (consumers), firms (producers), and governments interact in competitive and other markets to set prices, and determine what and how much is produced. Key concepts introduced include the role of scarcity and choice, incentives and competition, and the law of supply and demand.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3726

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Introduction to Macroeconomics is a survey course that builds on the topics covered and skills developed in ECON101 (Microeconomics) in order to present a complete picture of the economy. Macroeconomics shows how consumers and markets fit into the overall or aggregated economy and provides a framework to assess government policies. Key topics covered will include economic cycles (growth and recession), economic indicators and measures, and interest rates and money supply.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3727

|
This course is a basic overview of the geographer’s study of the location and distribution of features on the Earth’s surface. These features are both natural and man-made, both physically and culturally determined. The relationship of people and place is central to an understanding of human history, contemporary events, and possible global futures. As an introductory course it covers the whole globe and all its greatest geographic features and relationships. This dictates that the approach is broad and not too deep. However, knowledge of the geographer’s art will enable students to delve as deeply as their interest and energy will allow, into the dynamic spatial realities that surround them.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 3729

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This is the first course in a two-course sequence in American Government. The course is designed to convey basic facts about the structure and functioning of the American political system. The philosophical foundation of the U.S. Constitution is explored and the federalist construct is examined. The functions of the three separate branches of government and their roles in policy making are a major focus.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 3731

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An overview of the field of international and global politics. The nation state, factors of power, collective security, international trade, regional and international organization, sources of conflict and convergence are addressed.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 3733

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Introduction to Sociology introduces students to the sociological investigation of human interaction and behavior in society. Students will become familiar with the sociological perspective and develop a ‘sociological imagination’ – the ability to see the general in the particular, the new in the familiar, and to observe the impact social forces have on our lives. The course explores environmental, historical, cultural, and organizational influences on our interpersonal relationships and life-patterns within the context of contemporary society. Students will learn how to use sociological concepts, theory and research to think critically about individuals, groups, institutions, and societies in any given situation.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3734

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The course introduces students to the art and science of Psychology. Course emphasis is on applying the "science of human behavior" to a variety of settings: vocational, personal, academic, and clinical. Course content introduces the history of psychology, major theories of personality and learning, current research and developmental issues. The course has a holistic approach and integrates the biological basis of behavior, social factors, learning and the unique coping styles of the individual to understand human behavior.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3735

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This course is a worldwide survey of prehistoric cultural adaptations from the first use of bone and stone tools to the ancient mysterious civilizations of Asia, Africa, the Americas, and Europe including recent archaeological discoveries. Emphasis is on the development of technologies, social groups and the patterns of cultural development. Archeological excavation methods and archeological artifacts are discussed in considerable detail. Archaeological concepts and skills will be explored through simulations as well as virtual field trips and activities.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 3737

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This course is designed to acquaint the novice anthropology student with anthropology and its various sub-fields, examining cross-cultural, global, comparative, and critical perspectives on human behavior and culture, as well as the diversity of human cultures from hunter-gatherers to industrialized city dwellers. The implications of socio-cultural analysis of economic, social, symbolic, and religious systems are also considered.
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3738

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This course introduces students to human nature and behavior from the broad, holistic perspective of contemporary U.S. American anthropology. The four primary sub-fields of anthropology, biological, cultural, linguistics, and archaeology, will be discussed in order to integrate various aspects of the human condition.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 3739

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This course is an overview of the biological, psychological, cultural, and behavioral aspects of human sexuality and family life. The overall theme of the course focuses on attitudes and responsible sexual behavior. Key topics include how culture, society, and history have impacted our understanding of human sexuality.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4328

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This course examines a diverse sample of social problems facing the United States today and identifies how these problems affect, and are affected by, our institutions and culture. The sociological perspective and key theories will be used to understand the beginnings of the civil society, how problems develop and are defined, and the role of social change (particularly contemporary technological innovation). Key social problems covered will include social stratification/inequality, crime, drug abuse, prostitution, aging, infectious disease, family violence, health care, racial/ethnic conflict, terrorism, etc. Sociological research on social problems will be explored, and social policies to remedy the negative consequences of these issues on society will be discussed
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4636

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This course explores the practical and theoretical social impacts of computer-mediated communication (CMC) systems, including many different types of technologies, such as social networking sites, email, forums, chat, and online games. Students will engage in the analysis of CMC practices, the social processes and structures that emerge when people use these applications, and the problems and barriers that emerge from use.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4949

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In a developed country, one can often take for granted the safety of the food supply. 1 in 6 Americans get sick from foodborne illness annually, with an estimated 128,000 requiring hospitalization and resulting in approximately 3,000 deaths annually. Practical knowledge in safe food sourcing, storage, preparation and serving is addressed along with providing tips for practical awareness of techniques for staying safe. In a global society, food safety is not just a local issue, and everyone should have a working knowledge of food safety and what to look for to remain free of foodborne illness. In this course, students will learn general techniques for preparing and consuming food that is free from harmful pathogens, incorporating the flow of food from purchasing through storage and preparation to serving. Students will explore contemporary and cross cultural issues surrounding food safety in a global society. Practical knowledge about preparing safe food and red flags to watch for when dining out will be explored. Students will learn where to find information on health inspection reports, foodborne illness outbreaks and recall alerts, and will know where to report any suspected foodborne illness or suspicious activity related to the food and water supply.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4961

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This course is based upon the Institute for Humane Education’s (IHE) definition of humane education, which is “a lens, body of knowledge, and set of tools and strategies for teaching about human rights, animal protection, environmental stewardship, and cultural issues as interconnected and integral dimensions of a just, healthy society” (Institute for Humane Education, n.d.). The course explores issues, resources, rationales, and approaches to humane education related to various considerations and disciplines, including: economics, politics, science, technology, education, the arts, philosophy, religion, and geography.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5170

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Introduction to Political Science explains foundational principles of the field. Students will learn the purpose of political science, common terms and concepts, and subfields. Among these are introductions to political philosophies and ideologies, comparative systems of government, and international relations. The course also examines the professional and academic fields to which a political science degree is relevant.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5176

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This course offers students with a unique approach into the societies and cultures that we could progress toward in the future via the review of the science fiction genre. This course will review many aspects of technological questions that society will face in the future. Does the rise of technological advancements in artificial intelligence and robotics eventually bring us to a point where we must decide what is life and the right to self-determination as the Star Trek: TNG series covered in “The Measure of a Man”, laying out the rights of Commander Data. This is just one of many aspects of society and culture that will be examined throughout the course as students are made to think critically about what will the future look like.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 5245

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Literature has the ability to shape the way a nation thinks and behaves; it both responds to important issues in society and (re)shapes them. For far too long, the literature of cultures on the periphery of American society have been ignored because they do not fit comfortably into mainstream culture. Yet, from voices within the Native American population to Appalachian artists to LGBTQ groups, for example, cultures on the periphery have consistently helped shape the American literary identity and have continued to influence American society long after the publication of their works. This course lends credence to the legitimacy of the contributions of these underrepresented cultures and explores the role they have in shaping American literature—past, present, and future. (Pre-requisite: ENGL210 for English majors, or ENGL101 or ENGL110 for non-English majors)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5278

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This course provides perspectives on death and dying. Students examine how death is beneficial and necessary for evolution. Participants explore the media's impact on mortality. Participants analyze how to communicate death to the living. Students assess the bereavement and burial process. Topics include: communicating death, the feeling of emptiness, the forgetfulness of life, living in the face of death, organ donation, burial, and the other side after death.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 5279

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American society is a cauldron of various racial, political, ethnic, and religious formations. Amongst these, religious and racial formations provide strong modes of social organization. Both religion and race are also a major stimulus of cultural practices and belief systems. These two modes influence the ideals of democracy, equality, freedom, and even political identifications. The current agitations about Black Lives Matter are drawing attention to the racial divisions that are splitting the American society. At the same time, these movements are receiving the support of people from different religions. The Islam phobia and growth of right-wing militias are also similarly pitting Americans against one another based upon their religious beliefs. American writers, artists, activists, and even poets have drawn attention to these linkages and the pernicious impact it is having upon our society. Their contributions provide an alternate understanding of the strengths and limitations of American democracy. In this course, we will examine a variety of sources to understand how religion and race are shaping American democracy and society.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 5280

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Difficult situations in life motivate us to think carefully about religion. The forms of religions are based on the well-being of human beings, and they have provided many different ways to follow paths that are good for our mental and physical health. This course will deal with essential questions; do religions offer ways and techniques to support that are good for our well-being? What paths have been provided to lead a good life? How our hope, contemplation, and resilience are rooted in popular religions? What are the methods advised by religions to help practitioners? The course will include traditions that are isolated to a specific culture. However, they have their historical, cultural, and social context, in which they have been beneficial to the practitioners of these cultures. On American soil, they are coming together as a melting pot, and this course will look into how their beneficial value can be used to manage current stresses. This course will look into beneficial teachings from different religions that are becoming mainstream and are practiced in a non-traditional way without converting to a specific religion. The course will cover Christian traditions, Sufi traditions, traditions from People of First Nation, Hindu, and Buddhist traditions. Ways to Stop and reflect and achieve tranquility. Not as a way of worship rather a way of living one’s life with equanimity and hope.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5453

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This course introduces students to an attitude and approach for college success and relevant connections to their own inner motivations and external career options. Key elements in this course include values-goal alignment, an orientation to online learning, and strategies for successful adult learning. Other elements include planning a pathway from academic studies to a career path, career awareness, networking, engaging support resources, and collaborating with colleagues. Through the learning and activities in this course, students will gain the perspective needed for successful time management and prioritization, critical thinking, applied and collaborative learning, and civic/democratic and global learning. Content within the classroom includes open educational resources that are easily available online. This course fulfills one general education elective.   This course is recommended to be completed first in the student’s degree plan when possible. 
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Must take the following in this Section:

Course ID: 5037

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Information and Digital Literacy is designed to provide students with sustainable and usable skills essential to success in both academic and professional settings. Students will learn best practices to locate and evaluate sources, and effectively communicate using digital literacy to become proficient 21st century learners.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Course ID: 4951

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Martin Luther King, Jr, said, “If you can’t fly, then run. If you can’t run, then walk. If you can’t walk, then crawl. But whatever you do, you have to KEEP MOVING.” Making Writing Relevant is a composition course that will definitely keep you moving. It is not merely a required course; it is the type of course you will want to take because it moves you onto the path to success. Over eight-weeks, we will help you learn the most important components of a successful writer-communicator. We will teach you how to research properly, knowing you will need this skill in every course you take here at APUS and also in interactions in your professional and personal life. We will teach you the formatting style you will use in your field. We will provide a supportive community to strengthen and encourage you, and by the end of this nearly-all-you-need-to-know-about-writing course, you will be able to fly.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session
01/27/25 - 07/04/25 07/07/25 - 08/31/25 Summer 2025 Session B 8 Week session

Must take the following in this Section:

Course ID: 3285

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This course begins with a study of limits and continuity, which leads into the study of derivatives. Students will be taught to find the derivative of many functions using a variety of methods, including power rule, product rule, and chain rule. Students will then learn how to tackle several different applications of derivatives, including optimization, curve sketching, approximations, and related rates. Finally, students will be introduced to integration and how it can be used to determine areas. (Prerequisite: MATH111, MATH112, or an equivalent course)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Must take all courses for this section.

Course ID: 5077

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This course provides students with the basic knowledge and skills to handle and analyze data using a variety of methods, as well as different programming languages and tools. Students are introduced to current industry standard data analysis packages and tools – such as those in R/RStudio, Python, and Structured Query Language (SQL) – to prepare them for higher-level courses that rely heavily on the use of these analytic tools. (Prerequisites: MATH302 and MATH220)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5078

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This course provides students with the basic toolkit of statistical methods and models that practitioners use for regression, analysis of variance, and linear models. This toolkit could be based on Python® or on R. Topics include descriptive statistics/data summaries, inference in simple and multiple linear regression, residual analysis, estimation and testing of hypothesis, transformations, polynomial regression, model building with real data, nonlinear regression and linear models. The course is not mathematically advanced but covers a large volume of material. (Prerequisites: DATS200, MATH302 and MATH220) Python® is a registered trademark of the Python Software Foundation.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5079

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This course provides an overview of data science including a foundation in research methodology. Data science is a data-driven process that provides descriptive, predictive, and prescriptive insight. Whether reporting on historical information or making predictions about future events, the goal of data science is to add value through analysis that informs. To meet this goal this course introduces a range of tools and methods including supervised and unsupervised techniques. These include techniques such as classification, rule-based association techniques, support vector machines, K-nearest neighbor, regression, and clustering techniques such as K-Means. (Prerequisite: DATS201)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5139

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Exploratory data analysis (EDA) plays a crucial role in the first stages of analysis. That is, the data determine what the appropriate analysis technique is rather than an analysis technique being applied to the data. During this course students develop skills in all aspects of exploratory data analysis including a wide variety of tools and techniques for pre-processing and cleaning data, including big data. This course also introduces students to evaluating and plotting/graphing data to evaluate the content and integrity of a data set. (Prerequisite: DATS200)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 5140

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One of the most important functions in data science is the communication of the meaning in data. Data visualization is a core competency that enables that communication. This course introduces students to best practices in the visual and graphical representation of data and meaning. Design principles are emphasized as skills in visual communication develop. The specific tools and methods used in this course will vary depending on current industry standards and preferences. (Prerequisite: DATS200)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5114

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Whereas Analytical Methods I primarily deals with continuous data, this course deals with methods and tools used to analyze categorical (discrete) data. For example, researchers analyze categorical data, e.g. using logistic regression, to determine the results of tests such as learning if a patient’s tumor cancerous or not, or whether a consumer will purchase a particular product or not. Specific attention will be paid to surveys and survey data. In addition, this course introduces generalized linear modeling. (Prerequisite: DATS211)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5115

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This course continues to expand the knowledge, skills and abilities of students by two paths; first through the design of experiments required to acquire specified data, and second using carefully designed experiments to establish causal effects. Students will take a deep dive into the differences between correlation and causality. They will learn the critical thinking skills required to assert the reliability of data acquired. (Prerequisite: DATS301)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5145

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This course provides students with an introduction to modeling and simulation at the undergraduate or at the graduate level. It includes an introduction to discrete event simulation (DES) as well as simulation methodology, input data modeling, output data analysis, and a broad overview of DES tools. It also includes an introduction to continuous simulation (CS) as well as simulation methodology, differential equation models, numerical solution techniques, and a broad overview of CS tools. (Prerequisites: MATH240, MATH302, MATH328)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5117

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This course completes the three-course sequence in Data Science. This advanced course takes students through the application of more advanced methods in regression and time series models. It includes discussions about causal inference, and a wide-range of time series models. This course emphasizes tools and methods used to capture key patterns and generate insight from data. (Prerequisite: DATS311)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5153

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This course focuses on the Bayesian approach to probability and statistics and applies it to tools and methods used in data science. This course starts with a brief review of the tenets of probability that form the foundation for Bayes Theorem. Next, it discusses Bayes Theorem in-depth. Then, it considers the Bayesian approach to inference, examines the Naïve Bayes model, and develops Bayesian regression. (Prerequisite: MATH328)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5154

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This course introduces students to generalized linear models that extend the linear modeling framework to allow response variables that are not normally distributed. Estimation and inference are included. Continuous data is considered. However, the primary focus is on binary or count data. Poisson and quasi-Poisson models are discussed. (Prerequisites: MATH227, MATH328, DATS301)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 4086

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This course introduces students to the fundamental concepts of discrete mathematics. The course provides a foundation for the development of many computer related concepts and more advanced mathematical concepts found in electrical engineering or computer science courses. Important applications in the computer science and engineering disciplines will be presented. Topics include: fundamentals (basic tools for discrete math); logic; methods of proof; graphs and sets; functions; relations and equivalences; recursive relations; polynomial sequences; induction; combinatorics; counting; and probability. (Prerequisites: MATH110, MATH111, or MATH225)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 4538

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This course presents vectors, matrices, determinants, eigenvalues, and eigenvectors; and how these concepts may be used and applied. The emphasis of the course will be on understanding the concepts and methods of linear algebra, as well as solving problems and understanding how linear algebra is used in real world applications. (Prerequisite: MATH225)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 4085

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This course builds on the concepts introduced in Calculus I and will expand students’ ability to integrate more functions using a variety of techniques, including substitution, integration by parts, and trigonometric substitutions. These skills are then used to find the area between curves, the volume of shapes created by rotating area, arc length, and surface area. The course also introduces sequences and series and includes several methods for determining when the series and sequences converge. (Prerequisite: MATH225)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 4081

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This course is designed to extend calculus concepts to functions with more than two variables. Students will perform vector calculations encompassing operations such as the dot product and cross product. They will also use these skills in several applications, including arc length and motion. Students will then apply their calculus skills to multivariable equations to find the partial derivatives and double and triple integrals. Finally, they will apply their vector skills to vector calculus and work with vector fields, line integrals, and surface integrals. (Prerequisite: MATH226)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 4057

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MATH240 is introduction to differential equations. It is designed to introduce students to the basic concepts and techniques of differential equations. The course covers the standard materials addressed in the first semester of college differential equations to include: first and second order differential equations, Laplace transforms and differential equations with variable coefficients. Problems have been selected to illustrate the applications of these techniques across a wide range of areas of science, technology, and economics. It is essential for engineering, science, and economics. Increasingly, applications in business management and related fields also employ the calculus. (Prerequisite: MATH227 or equivalent)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 06/22/25 Winter 2025 Session C 16 Week session
11/28/24 - 05/02/25 05/05/25 - 08/24/25 Spring 2025 Session K 16 Week session

Course ID: 3291

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This is an interactive course designed to help students achieve a greater understanding of the statistical methods and models available to analyze and solve the wide variety of problems encountered in business, science, medicine, education, the social sciences, and other disciplines. Successful completion of this course will provide students with a working knowledge of the principles of both descriptive and inferential statistics, probability, averages and variations, normal probability distributions, sampling distributions, confidence intervals, statistical hypothesis tests, and correlation and regression analyses. The emphasis of the course will be on the proper use of statistical techniques and their application in real life -- not on mathematical proofs. This course will use Microsoft Excel for some of the work. Students should have a basic familiarity with Excel and have access to this software application. MATH120 is the recommended mathematics general education course for students who will be required to take additional statistics courses such as MATH302 Statistics as part of their program of study. (Prerequisites: MATH110, MATH111, MATH120, or MATH225)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 4542

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This course introduces students to the basic concepts and applications of probability theory. An understanding of probability theory is essential to statistics, which is the fundamental basis of how all research is done, from science to medicine to business, marketing, and governmental politics. Probability theory is also essential to such disciplines as mathematics, finance, artificial intelligence, and even legalized gambling (such as state lotteries). Examples of applications problems from these areas are included in the course, with a focus on understanding the concepts and methods of probability theory, as well as solving problems taken from real world applications. (Prerequisite: MATH226)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 4551

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This course will introduce to students analysis of categorical data, log linear models for two- and higher-dimensional contingency tables, and logistic regression models. Also, students will analyze aspects of multivariate analysis to include random vectors, random sampling, multivariate normal distribution, inferences about the mean vector and MANOVA. (Prerequisites: MATH328 and MATH302)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 4554

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This course is delivered online and is organized into distinct parts. This course will begin with Design of Experiments (DOE) methodology and statistical inference. The design of single factor, factorial, nested and nested factorial experiments will be taught. Quantitative and qualitative factors will be introduced to simulate real situations that are encountered in operations being explored. Students will learn how to set up and solve fixed, random, and mixed models with two or more factors. Practical applications are provided throughout the course. (Prerequisite: MATH340)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 5177

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This course will expose students to how since the earliest days of mankind, technology and technological advances have helped to mold our society and guide our prosperity, but also to the goals of the society in driving the development and progression of technology as well. This course will review the various periods of time, where the world leaped forward in their understanding of the world around them and how they could harvest the world around them to advance their own world. This course will also reveal the potential conflicts of complex relationships between technology and society, looking at such topics as global warming, artificial intelligence, nuclear weapons, and many other potentially dangerous technological advances.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Course ID: 5179

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This course offers students a unique peek into the world of artificial intelligence and analytics without all of the mathematics. The course will review the advancement of artificial intelligence technology in such fields as facial recognition, neural networks, self-driving vehicles, and the controversial Deep Fakes. The course will then continue to delve into the analytics and algorithms that drive our daily lives and that we willing feed more and more data to. From Facebook Likes to shopping cart analysis and prediction, this course will review the ways we interact knowingly and unknowingly with these technological advances and the effects that they are having on humanity as a whole.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

Choose 3 credit hours from this section.

Course ID: 5147

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This course discusses the legal, policy and ethical implications of data including privacy, surveillance, security, classification, discrimination, decisional-autonomy, and duties to warn or act. Examines these issues over the full data-science life cycle; data collection, storage, processing, analysis, and use. Includes current topics such as: legal and policy constraints; data collection methods and institutions; as well as technical, legal, and market approaches to mitigating and managing concerns.
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5152

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This course provides an introduction to optimization and machine learning, i.e. how machines learn. It takes an in-depth look at objective, or loss, functions and how they are used to reduce error through feedback. It also takes a look at how that feedback enables machines to learn. Students gain an appreciation of the similarities in optimization and machine learning, as well as the differences. It also takes a look at all the challenges in training machine models including the local minima or maxima that affect machine learning. In addition, it discusses different methods that are applied to optimization and machine learning, e.g. gradient methods. (Prerequisites: MATH240, MATH328, DATS301)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5156

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This course introduces Python to students with very little programming experience. It covers the basics of programming including core elements of programs, data types, simple programs and functions, debugging and computational complexity. (Prerequisite: DATS200)
Registration Dates Course Dates Session Weeks
08/26/24 - 01/31/25 02/03/25 - 03/30/25 Winter 2025 Session I 8 Week session
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 5157

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In this course students will learn how Python, perhaps the most popular programming language today, is used in databases, image processing, machine learning and parallelism. This course is a lab-based course that requires considerable time programming. Students will learn how to handle various data structures, e.g. Python lists, NumPy arrays and Pandas DataFrames. Functions and flow control will be emphasized. This course also uses Python to build on the data visualization topics started in DATS225 Data Visualization. (Prerequisite: DATS481)
Registration Dates Course Dates Session Weeks
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session
Select any courses that have not been used to fulfill major requirements. Credits applied toward a minor or certificate in an unrelated field may be used to fulfill elective credit for the major.

Must take all courses for this section.

Course ID: 5158

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This Capstone course is intended to be the last course taken by seniors prior to completing their bachelor’s degree. It is intended to give seniors the opportunity to demonstrate the knowledge and skills they have gained throughout their program of study. At the start of this course, students will be presented with a complex, real-world problem. As they consider this problem, they will restate it in a format consistent with conducting a data analysis. They will acquire the data needed and pre-process that data as required. They will determine the best method of analysis depending on the problem and the data. They will conduct the analysis obtaining preliminary results, and evaluate the analysis and the results to determine if any adjustments to parameters or hyperparameters need to be made. They will obtain the final results, i.e. the solution to the problem. Last, they will generate a written report and an oral presentation that discusses the problem, the data, the analysis including any parameters or hyperparameters used, the results, and their evaluation of the analysis and results. It is intended that the report and presentation be of sufficiently high quality to serve as part of the student’s portfolio for job interviews or applications to graduate school. (Intended to be the last course in the program)
Registration Dates Course Dates Session Weeks
09/30/24 - 02/28/25 03/03/25 - 04/27/25 Winter 2025 Session D 8 Week session
12/30/24 - 05/30/25 06/02/25 - 07/27/25 Spring 2025 Session D 8 Week session

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Next Courses Start Feb 3
Register by Jan 31
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Admission Requirements

  • Applicants must have completed preparation in mathematics equivalent to pre-calculus or higher. A review of high school or college transcripts showing completion of this requirement will be conducted during the admission process.
  • All AMU undergraduate programs require a minimum of a high school diploma or equivalent (i.e., GED).
  • Please read all undergraduate admission requirements before applying to this program and be prepared to submit the required documentation.
  • There is no fee to complete the AMU admission application. View steps to apply.

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Selecting the right program to meet your educational goals is a key step in ensuring a successful outcome. If you are unsure of which program to choose, or need more information, please contact an AMU admissions coach at 877-755-2787 or [email protected].

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2Alumni Graduated with No APUS-incurred Student Loan Debt As of December 31, 2021

Includes alumni who graduated with an associate, bachelor's, or master's degree from APUS. Student loan debt is defined as student loans and private education loans used for tuition, fees, living expenses, and book costs associated with courses taken at APUS. Many APUS students receive military tuition assistance and veterans education benefits, which are not student loan debt.

1The University reserves the right to accept or deny credits according to policies outlined on our University website. Please see the University's transfer credit policy webpage for complete information.

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The Preferred Military Rate is $250 per credit hour for undergraduate and  master's-level courses. This rate is available to all U.S. active-duty servicemembers, National Guard members, Reservists, and military families, including parents, spouses, legal partners, siblings, and dependents.

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