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Dr. Wallace E. Boston School of Business

Applied Business Analytics

Online Master of Science in Applied Business Analytics (MS)

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$0 Transfer Credit Evaluation

72%Have Graduated with No APUS-incurred Student Loan Debt2

About This Program

The master’s in applied business analytics from American Military University (AMU) plunges you into the study of data using advanced operational and statistical analysis and advanced optimization techniques.

With AMU’s Master of Science in Applied Business Analytics, develop and apply critical thinking to create better management analytics tools that support business decision making. The program uses Excel as its main platform. It is a hands-on opportunity to learn: 

  • Data and text mining
  • Predictive analytics
  • Optimization and simulation
  • Data management
  • SAS
  • Six Sigma concepts
  • Social media and enterprise analytics

This program is accredited by the Accreditation Council for Business Schools and Programs. It ends with a project to apply your learning, based on your own workplace experience. 

This program has specific admission requirements.

What You Will Do

  1. Interpret results and outputs from statistical analysis operations
  2. Define and quantify business problems to develop an analytical approach to decision making
  3. Communicate statistical results so that it can aid decision making
  4. Use text mining and data mining to build models for data analysis
  5. Construct simple and multiple linear regression for predictive analytics models

View Program Outcome Assessment Results

Degree at a Glance

Accredited
ACBSP Accredited

ACBSP® is a registered trademark of the Accreditation Council for Business Schools and Programs.

Number of Credits
42
Transfer up to 15 credits
Cost Per Credit
$455 | $250*
$386.75** | $409.50***
*with Preferred Military Rate
**with Veteran Grant
***with APUS Opportunity Grant
Courses Start Monthly
Online
and vary from 8 to 16 weeks

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Program Requirements Printable Catalog Version

Must take all courses for this section.

Course ID: 5298

|
This foundational course equips students with the essential knowledge and tools to interpret, analyze, and leverage data in the business landscape. Students will explore key analytical principles, learn about a diverse range of tools and techniques, and understand their application in real-world business scenarios. From data collection to insightful interpretation, students will gain a holistic perspective of the analytics domain.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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: 4630

|
This course delves deeper into the sophisticated techniques, algorithms, and tools central to modern analytics. Building upon their foundational knowledge of analytics, students will engage with complex data sets, machine learning methodologies, and advanced predictive modeling. Through real-world case studies and hands-on projects, course participants will learn how to derive actionable insights and address intricate business challenges. (Prerequisite: BUSN625)
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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: 4631

|
This course equips students with advanced Excel data analysis skills that can be used for problem-solving and decision-making in business. Building upon a foundational knowledge of analytics, students will engage with complex data sets, estimate regression models, and conduct visual analytics. Using case studies and hands-on projects, students will learn how to derive actionable insights and address business challenges.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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
11/28/24 - 05/02/25 05/05/25 - 06/29/25 Spring 2025 Session I 8 Week session

Course ID: 4728

|
This course in applied advanced analytics imparts a deep understanding of the strategies, methodologies, and leadership skills required to drive and manage technological change and innovation in today's evolving business environments. This course combines intricate analytical theories with tangible business scenarios, ensuring students can adeptly transfer classroom knowledge to real-world contexts. Students will utilize intricate data sets, employ cutting-edge algorithms, and learn to make strategic decisions grounded in advanced analytical findings. Through hands-on projects, students will be taught how to confront and solve genuine business challenges from supply chain optimizations to market forecasting. This course is ideal for those seeking to not only understand but also apply high-level analytics, and it serves as a bridge between theory and impactful business application. (Prerequisite: BUSN661)
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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: 2713

|
This course is designed to use economic analysis to enhance business decision-making within private businesses, not-for-profit institutions, and public agencies. Economic concepts covered include demand analysis, production and cost analysis, linear programming applications, pricing policies and regulation.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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: 2722

|
This course is a study of the major corporate finance and financial management theory, strategy, processes, functions, and other issues. Topics include the finance function, concepts of sources and uses of funds, analysis and estimation of need for funds (short- and long-term), short-term sources, working capital management policy, long-term sources, capital structure policy and implementation, capital budgeting and the cost of capital. Students must have access to Microsoft Word and Microsoft Excel software. Please refer to the Course Materials section for additional details on materials and pricing or contact [email protected].
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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: 2715

|
This course is designed to illustrate development, implementation, and reformulation of business strategy, with both domestic and international implications. Emphasis is placed on the need for, awareness of, and accommodation to changes in an organization's internal and external environments. Generic types of business strategies and techniques for analyzing strategies are also covered.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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 9 credit hours from this section.

Course ID: 4875

|
This course covers data mining using the R programming language. It offers hands on experience approach through a learn-by-doing-it strategy. It further integrates data mining topics with applied business analytics to address real world data mining cases. It continues the examination of the role of “Data Mining in R”, and review statistics techniques in prescriptive analytics, and some predictive analytics. Additionally, some standard techniques and excel functions will be also covered.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 4876

|
This course covers the elements of text mining techniques used to complement data mining methods but for unstructured text. The essential transformation techniques where text is prepared and handled to a form in which it can be mined is discussed and explained. Additionally, some standard techniques and excel functions will be also covered. (Prerequisite: BUSN662)
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: 4877

|
This course equips students with the skills to forecast business outcomes based on historical data and sophisticated modeling techniques. Students will explore a gamut of predictive models from regression analyses to state-of-the-art machine learning algorithms. Class participants will practice building, validating, and deploying models to address pressing business challenges and to ensure proactive strategic initiatives. Emphasizing both theory and application, this course is essential for students aspiring to learn how to harness the predictive power of data to shape business trajectories. (Prerequisite: BUSN662)
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: 4878

|
This course primarily covers handling elements of the influence on a business performance that can be constraints for achieving certain results. The course discusses optimization methodologies to support management choices. Students will learn about applying linear programming principals to harness a precise objective considering a set of business constraints. Students will use spreadsheet software to implement and solve these linear programming problems. (Prerequisite: BUSN662)
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: 4879

|
This course offers a comprehensive overview of the methodologies, tools, and best practices required to store, organize, and maintain high-quality datasets. Students will explore relational databases, data warehousing, and the essentials of data governance and security. Through hands-on exercises, participants will design and implement database structures, ensuring data integrity and accessibility. This course may be useful for students seeking a mastery of the backend of analytics. (Prerequisite: BUSN662)
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
10/28/24 - 04/04/25 04/07/25 - 06/01/25 Spring 2025 Session B 8 Week session

Course ID: 5085

|
This course centers on leveraging analytics at a grand scale, ensuring students are well-equipped to drive strategic initiatives across large corporations and multifaceted institutions. Students will acquire a knowledge of holistic data strategies, systems integrations, and the nuances of analytics deployment in diverse enterprise environments. Class participants will participate in real-world case studies, simulating the challenges and opportunities of analytics in expansive organizational settings.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 03/02/25 Winter 2025 Session B 8 Week session
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
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: 4880

|
Preparation for the Applied Business Analytics Project/Capstone begins on day one of a student's graduate program of study. The theories, research methods, analytical skills, analytical tools, and substantive knowledge obtained through their master's curriculum provide the basis for a major data analysis project. Students will work closely with the assigned faculty member to develop the subject matter of their project. The experiential or practical component of the class aims to apply learning in an aspect of interest related to the degree and concentrations of the student’s areas of specialization. It is understood to be a supervised project where data is collected from or about an approved organization. The selection of an organization or site for the project must relate to the content of the student’s course work and/or analytics concentration. Goals of the applied project will be submitted by the student using an application for approval to the faculty member and/or Program Director. The organization will serve as an opportunity to experience the practice of business or big data analytics. This option will act as a capstone of the student’s program and is to be completed in the student’s final semester.
Registration Dates Course Dates Session Weeks
07/29/24 - 01/03/25 01/06/25 - 04/27/25 Winter 2025 Session A 16 Week session
10/28/24 - 04/04/25 04/07/25 - 07/27/25 Spring 2025 Session A 16 Week session

Courses Start Monthly

Next Courses Start Jan 6
Register by Jan 3
Apply Now Request Info

Admission Requirements

All AMU master's degree and graduate certificate programs require you to have earned a minimum of a bachelor’s degree from an institution whose accreditation is recognized by the Council for Higher Education Accreditation (CHEA).

Students are required to take BUSN604 as their first required course. If you have a bachelor's degree that is accredited by ACBSP, AACSB, or IACBE, you are NOT required to take the course listed above, and instead may take one graduate-level elective course.

Please be prepared to submit a legible copy of your valid government-issued photo ID (civilian students) or government-issued JST or CCAF transcript (military students) upon request.

An AMU admissions coach will contact you with further details about how to submit the required documentation after you complete the enrollment application.

Note: If you have a non-U.S. transcript, please view our International Admissions page for more information.

Materials Cost

Technology fee: $85 per course 

Need Help?

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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So you can focus on the opportunities ahead, without the financial burden of more expensive schools who are not as invested in your success. Learn more about paying for school.

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Maryland Residents learn more about costs, completion rates, median debt, and more.

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.

*Cost Per Credit Hour

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.

See all military student benefits.

Cost of Attendance

Learn more about AMU’s cost components and full cost of attendance.