M.S. in Business Analytics

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 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.

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Distinguish yourself as a top-notch talent with a SAS Tier 2 Academic Specialization in Data Analytics. 

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

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M.S. in Business Analytics Degree 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 27% through 2027, which is much faster than the national average.*

Throughout the 15-month M.S. in Business Analytics program, you’ll build a strong foundation with courses in database management, data analytics, data visualization and presentation, 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. Through our partnership with SAS, a global leader in analytics, you’ll also earn a Tier 2 SAS Academic Specialization in Data Analytics that will complement your master’s degree and underscore your analytics knowledge and abilities.

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. You’ll use SAS, a software suite for advanced analytics, multivariate analysis, business intelligence, data management and predictive analytics, to develop your foundational statistical and data analytics skills and apply them to problem solving and decision making. 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. As a result of your exposure to SAS and Tableau, 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.  

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

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Master's in Business Analytics & Curriculum

32 Semester Hours
Course Sequence (32 hours)
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.
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 (4)
This course examines the issues in management and analytical analysis of massive datasets, and unstructured data, including data warehousing from an enterprise perspective. Students will learn the concepts and techniques for managing the design, development, security and maintenance of enterprise information.
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.

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.

Tier 2 SAS Academic Specialization in Data Analytics

Earn a badge that designates you as a skilled analytics professional

As part of your Franklin master’s degree, you’ll also earn a SAS Tier 2 Academic Specialization in Data Analytics. According to EMSI labor market analytics, nearly 220,000 job postings listed SAS as a desired skill in 2019. This digital badge, issued jointly by SAS and Franklin University, recognizes your ability to leverage SAS analytic tools for data preparation, advanced analytics and visualization. The badge is awarded after your successful completion of three master’s-level courses: MATH 601 (Introduction to Analytics), DATA 605 (Data Visualization and Reporting) and DATA 610 (Big Data Analytics). The knowledge gained through these courses provides you with valuable insight that is sought by SAS customers at more than 65,000 sites in more than 135 countries, including 90 of the top 100 Fortune 500 companies. 

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 2018-2029 jobs in Business Analytics are expected to increase by 29%

All Occupations

107,721 jobs
139,436 jobs

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

Business Analytics Knowledge and Skillsets

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

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