M.S. in Business Analytics
Credit Hours
Month Completion
Class Type
Face-to-face, Online coursework
Next Start Date
May 15, 2023
Placement Tests
GMAT/GRE not required for admission
Embedded Credentials
Data Analytics Graduate Certificate

Transform data into insight that drives action with a master’s in business analytics

Organizations rely on insights that are backed by data to operate efficiently and effectively. Business analytics professionals analyze small and big data in order to generate the insights needed to help stakeholders make better decisions and enable organizations to function more strategically. Franklin’s M.S. in Business Analytics equips you with the tools, techniques and strategies that will enable you to drive the transformation of mind-boggling amounts of data information into a meaningful basis for decision making and strategic direction. At Franklin, you’ll gain the statistical and analytical skills to excel in a variety of industries including – finance, manufacturing, marketing, insurance and information technology.

Finish in 12 Months

Earn your degree and prepare for advancement faster.

100% Online Coursework

Balance earning your degree with other work-life commitments.

Hands-On Learning

Use industry-leading tools to build your skills in the fast-growing field of business analytics. 

No GRE/GMAT Required

Bypass expensive, time consuming tests and get started sooner.

Learn from the Best

Benefit from the experience of your instructors – seasoned, in-field practitioners.

M.S. in Business Analytics Program Overview

Develop an analytic mindset and drive value with a multidisciplinary approach to data analysis

Whether you are looking for a career change or advancement, the innovative M.S. in Business Analytics is a great way to boost your professional relevance. By applying analytics models to real-world scenarios, you’ll be able to help organizations do more with less. You can expect this talent to improve your marketability, as demand for analytics professionals is projected to grow 7% through 2031.*

Throughout the 12-month M.S. in Business Analytics program, you’ll build a strong foundation with courses in database management, data analytics, data visualization and presentation, data mining, and big data analytics. You’ll learn from credentialed experts within each discipline and gain in-depth understanding of relevant concepts, theories and techniques that can be applied to any industry. 

Gain hands-on experience with industry-leading, state-of-the-art tools, techniques and strategies 

At Franklin, we set you up for long-term career success by integrating industry-standard tools within the curriculum. Using SQL, a powerful tool for communicating with database, you will read, manipulate, and analyze the business data productively. With Tableau, an interactive data visualization tool, you’ll perfect best-practices to present and communicate analytics in ways that are visually appealing and applicable to business scenarios. Utilizing the analytics libraries in R and Python, fast-growing analytics tools in the modern industry, you will explore data and mine the insights inside efficiently. As a result of your exposure to SQL, Tableau, R, and Python, you’ll build the proficiency to successfully pursue positions specific to these tools, as well as industry certifications to further differentiate yourself.

Use real-world scenarios to see how data strategically impacts business decisions 

Computational and statistical techniques, including knowledge of business, are needed to function at a high level in today’s technology-driven work environments. As a master’s student in business analytics, you’ll take courses in marketing management, financial decision modeling and business analytics strategy that help you understand the role of big data in planning and operations. You’ll analyze market data to guide management decisions and use marketing analytics to create and model scenarios in order to measure return on investment and campaign effectiveness. Using financial management theories, strategies and practice, you’ll discover the impact of financial decisions through the analysis of financial statements, cash budgeting, cost of capital determination, capital budgeting and capital structure choices. 

In the business analytics strategy course, you use what you learned in the marketing and finance courses as a starting point to develop an analytics strategy for a business of your choice. Throughout the course case studies and problem-based learning approaches will illustrate options for you to consider as you shape your ultimate strategy.  

Transfer up to 12 credits and finish your master’s faster

If you have already taken graduate-level courses, you may be able to transfer credit and save time and money toward your master’s degree. Franklin offers course-for-course credit for every class within the M.S. Data Analytics – except the capstone (BUSA 695). To see if your previous coursework can be used to satisfy degree requirements, you’ll need to submit a syllabus for the course(s) you’d like to have evaluated for transfer credit. Your admissions advisor will be happy to assist you in any way.  

*Source information provided by Economic Modeling Specialists International (EMSI)

Read more >

Future Start Dates

Start dates for individual programs may vary and are subject to change. Please request free information & speak with an admission advisor for the latest program start dates.

Summer 2023
Recommended Register By:
May 5
Fall 2023
Recommended Register By:
Sep 15

Your Best Value M.S. Business Analytics

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Highly Recommended


97% of graduating students would recommend Franklin to their family, friends and/or colleagues.

Source: Franklin University, Office of Career Development Student Satisfaction Survey (Fall 2021)


Master's in Business Analytics & Curriculum

32 Semester Hours
Major Area Required
MATH 601 - Introduction to Analytics (4)

This course provides an introductory overview of methods, concepts and current practices in the growing field of Data Analytics. Topics to be covered include data collection, analysis and visualization as well as statistical inference methods for informed decision-making. Students will explore these topics with current statistical software. Some emphasis will also be given to ethical principles of data analytics.

COMP 630 - Issues in Database Management (4)

This course focuses on the fundamental design considerations in designing a database. Specific topics include performance analysis of design alternatives, system configuration and the administration of a popular database system. The course also offers an in-depth analysis of the algorithms and machine organizations of database systems. Note, this course has proctored exam(s). This exams requires additional technology, if student uses online proctoring.

DATA 605 - Data Visualization & Reporting (4)

This course focuses on collecting, preparing, and analyzing data to create visualizations, dashboards, and stories that can be used to communicate critical business insights. Students will learn how to structure and streamline data analysis projects and highlight their implications efficiently using the most popular visualization tools used by businesses today.

DATA 610 - Big Data Analytics and Data Mining (4)

This course explores data mining methods and tools, examines the issues in the analytical analysis of massive datasets, and unstructured data. Students will learn the concepts and techniques to discover the patterns in large datasets, which support organizational decision making.

BUSA 603 - Marketing Management & Analytics (4)

This course covers the application of analytics tools, techniques, strategies and methods to marketing management. Students learn to analyze market data, enabling management decisions to be based on data-driven facts and customer insights. Using marketing analytics tools to model scenarios, students learn how organizations can measure returns on investment relative to their marketing efforts, drive performance and strengthen the effectiveness of its campaigns.

BUSA 604 - Financial Decision Modeling (4)

This course is built on the theory, strategy and practice of financial management, emphasizing computer-based modeling and forecasting. Students learn to model financial scenarios using analytics tools. The impact of financial decisions relative to financial statements analysis, cash budgeting, cost of capital determination, capital budgeting, and capital structure choices are covered. A variety of techniques, such as sensitivity and scenario analysis, optimization methods, Monte Carlo simulation, and regression analysis are also covered.

BUSA 605 - Business Analytics Strategy (4)

This course taken prior to the Capstone in Business Analytics course allows students to apply the knowledge gained from the previous courses in the development of an analytics strategy for a business of choice. Given a range of options, students will research and choose the best analytics strategy under given scenarios. The course uses case studies, employing a problem and project-based approach to the development of a strategy.

BUSA 695 - Capstone in Business Analytics (4)

Students demonstrate an integrative knowledge of analytics in this course by developing a project plan to implement analytics for an important function, unit or department of the organization chosen in the Business Analytics strategy course. Students apply analytics tools, techniques, methods and strategies to drive business outcomes for the chosen company using relevant project-based methodologies. The course allows students to develop a professional portfolio that will highlight the work completed throughout the degree program. This may serve as a relevant employability resource.

MATH 215 - Statistical Concepts (4)

This course introduces the student to statistics with business applications. The course covers both descriptive and inferential statistics. Topics included are: measures of central tendency; measures of dispersion; graphical displays of data; linear regression; basic probability concepts; binomial and normal probability distributions; confidence intervals; and hypothesis testing. These topics will be covered using a basic knowledge of algebra and Microsoft Excel. Note, this course has proctored exam(s).

Complete the above course or the equivalent from an accredited school. Prerequisite must be completed with a grade of C or better.

Embedded Credentials Recognize Achievement in Real-Time

Embedded credentials provide a quick ROI on the time and tuition you’re investing in your master’s degree. 

Embedded certificate marks midpoint to degree completion

Your time and tuition dollars pay off fast with a Graduate Certificate in Data Analytics awarded after the completion of your first four master’s courses.

Microcredentials Align with Job Essentials

In today's dynamic work environments, adaptive professionals thrive. A microcredential - either as a stand-alone course or integrated into your degree program - is a short, skill-specific recognition that enables you to demonstrate your competency in a distinct area. Like Franklin's degree programs, microcredentials are aligned with market and industry demand to ensure what you learn can be put to use right away. Microcredentials are easily shared via digital badges and can be stacked to create a unique portfolio of in-demand skills.

Master's in Business Analytics Program Details

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Business Analytics Career Opportunities

Management Analyst

Management analysts consult with organizations to improve efficiencies and increase profitability.

Operations Research Specialist

Operations research specialists analyze data to help organizations answer questions regarding various aspects of business including resource allocation, production, supply chain management and price setting. 

Market Research Analyst

Market research analysts gather data that provides insight on consumers, competitors and demand, in order to help a business effectively market and sell its products.

Project Manager

Project managers are responsible for decision making, communication and reporting to successfully plan and implement an initiative. 

Data Analyst

Data analysts collect data, identify patterns and trends, and prepare reports that illustrate the impact of data to stakeholders.

Business Analytics Employment Outlook


From 2021-2031, jobs in Business Analytics are expected to increase by 7%

All Occupations

2,895,276 jobs
3,110,367 jobs
Show Details >

Computer and Information Systems Managers

538,074 jobs
610,038 jobs

Operations Research Analysts

102,646 jobs
124,987 jobs

Source information provided by Lightcast.

Business Analytics Knowledge and Skillsets

Gain in-demand skills sought by employers with curriculum that teaches you:

M.S. in Business Analytics or MBA with a Business Analytics Specialization?

Find the Masters Program That Fits Your Goals

If you’re interested advancing your business career, Franklin has several great options. The best fit for you depends on your interests and goals. Compare programs and identify your perfect match.

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M.S in Business Analytics
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MBA Business Analytics Specialization

Build on your knowledge of statistics to master data science tools and methods for practical application.
Gain statistical and analytical skills to excel in a variety of industries.
Use your M.S. in Business Analytics in specialized roles responsible for using data to solve problems.
How many courses are in the program?
Eight (Four 12-week courses + Four 6-week courses)
How quickly can I complete the program?
12 months

Learn More >

Expand your expertise in business to include management and leadership, while gaining familiarity with data analysis.
Build management and leadership skills along with broad application of analytics principles.
Use your MBA-Business Analytics to make data-informed decisions that improve business results.
How many courses are in the program?
Nine (Six 6-week courses and three 12-week courses)
How quickly can I complete the program?
12 months

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