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Applied Business Analytics

Online Master of Science in Applied Business Analytics (MS)

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$0 Application Fee
$0 Transfer Credit Evaluation
0 Entrance Exams
No GRE/GMAT Required

About This Program

Learn how to improve business performance using data mining and applying business and big data analytics with an MS in Applied Business Analytics from American Public University (APU).

APU’s online master’s in business analytics program challenges you to use problem solving, strategic and critical thinking, and communication to create better management analytics tools that aid business processes and decision making.

Our hands-on MS applied business analytics covers data mining, text mining, predictive analytics, optimization and simulation, and data management, SAS, Six Sigma concepts, social media analytics, and enterprise analytics.

A final project in our Accreditation Council for Business Schools and Programs-accredited program allows you to apply learned tools to your own real-life professional scenario. Recent projects have included “Predictive Factors in Workplace Injuries” and “A Predictive Model for College Success.”

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
Number of Credits
42
Cost Per Credit
$370 | $250*
Courses Start Monthly
Online

Program Requirements Printable Catalog Version

Must take all courses for this section.

Course ID: 3976

|
This course examines issues and functions that business managers face within the context of day-to-day operations and long-term planning of the organization. Topics include strategic management, legal issues, marketing, law and ethics, and global dimensions of businesses.
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Course ID: 3977

|
This course introduces fundamental concepts of accounting principles, financial tools, and economic analysis for effective managerial decision-making. Topics include the role of the financial manager in the organization, concepts, and principles underlying financial accounting practices, financial statement analysis, budgeting, and economic analysis for decision makers.
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Course ID: 3978

|
This course explores management problems and the role of decision-making models and tools in resolving business problems. The application and use of information systems in decision-making is assessed. Students apply system and quantitative analysis to an integrated case study.
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Must take all courses for this section.

Course ID: 4630

|
This course is designed to lay the groundwork for solution generation and software analysis tools at the intermediate level. Topics to be covered are various business problem solution models, the importance of high-level analysis in the business environment within the context of these models, and a detailed analysis and introduction to the various software tools available to managers. (Prerequisite: BUSN625)
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Course ID: 4631

|
This course is designed to continue the examination of data and its use in the problem-solving process. In this course, students will integrate advanced skills in Microsoft Excel 2010 with data analysis techniques, including an introduction to big data add-ins such as PowerPivot and the use of Data Analysis Expressions (DAX) to create queries in the PowerPivot tool. (Prerequisite: BUSN660)
Registration Dates Course Dates Session Weeks
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Course ID: 4728

|
This course provides four case scenario exercises in which students will use the tools learned to create viable case summaries and data-supported solutions. Exercises will range from intermediate to advanced levels of analytical ability and will allow students to create a portfolio demonstrating skills in various business functions and analytical tools. (Prerequisite: BUSN661)
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 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
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 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 booklist@apus.edu.
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 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
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 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
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session

Course ID: 4876

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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
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Course ID: 4877

|
This course gives emphasis to understanding how the predictive analytic approach flows, as well as the process of analysis starting with a problem, and through effective analytics approach that is cohesive and integrating of various statistical analysis tools for predicting behavior of variables in a modeled relationship. (PREREQUISITE: BUSN662)
Registration Dates Course Dates Session Weeks
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

Course ID: 4878

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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
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session

Course ID: 4879

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This course covers the elements of research, data collection, sampling, and data management including creating a broad range of quantitative and qualitative data and applying research methodologies while navigating rights and ownership and other ethical components. This course integrates quantitative and qualitative data management to prepare learners to understand how to inventory, store, and backup data. As well as how to create useable data to use, share, ethically reuse data, and covers aspects of digitally preserve data for the future. Students will also learn to create and data management plan. (Prerequisite: BUSN662)
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session

Course ID: 5085

|
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.
Registration Dates Course Dates Session Weeks
04/26/21 - 10/01/21 10/04/21 - 11/28/21 Fall 2021 Session B 8 Week session
05/21/21 - 10/29/21 11/01/21 - 12/26/21 Fall 2021 Session I 8 Week session
06/28/21 - 12/03/21 12/06/21 - 01/30/22 Fall 2021 Session D 8 Week session
07/27/21 - 12/31/21 01/03/22 - 02/27/22 Winter 2022 Session B 8 Week session
08/31/21 - 02/04/22 02/07/22 - 04/03/22 Winter 2022 Session I 8 Week session
09/28/21 - 03/04/22 03/07/22 - 05/01/22 Winter 2022 Session D 8 Week session

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
04/26/21 - 10/01/21 10/04/21 - 01/23/22 Fall 2021 Session A 16 Week session
05/21/21 - 10/29/21 11/01/21 - 02/20/22 Fall 2021 Session K 16 Week session
07/27/21 - 12/31/21 01/03/22 - 04/24/22 Winter 2022 Session A 16 Week session
09/28/21 - 03/04/22 03/07/22 - 06/26/22 Winter 2022 Session C 16 Week session

Courses Start Monthly

Next Courses Start Oct 4
Register by Oct 1

Admission Requirements

All APU 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 BUSN601 as the first course and then should take BUSN602 and BUSN603 as the first three Core Requirements. If you have a bachelor's degree in a business program that is accredited by ACBSP, AACSB, or IACBE, you are NOT required to take the courses listed above, and instead may take 3 master’s-level elective courses. 

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 APU admissions representative 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: $65 per course | $0 for active-duty military, National Guard members, and Reservists.

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 APU admissions representative at 877-755-2787 or info@apus.edu.

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Consumer Information

Department of Education and State Disclosures

For information on costs, median debt, state licensure requirements and more, view the gainful employment disclosures and the program disclosures for Maryland residents.

 

*Cost Per Credit Hour

To minimize out-of-pocket costs, U.S. active-duty servicemembers, their spouse/dependents, National Guard members, and Reservists receive a tuition grant that caps undergraduate, master's degree, and graduate certificate tuition at $250/credit hour. In addition, a university book grant provides no-cost textbooks and ebooks for all undergraduates and military-tuition-grant-eligible master’s-level students.
See all military student benefits.