M.S. in Business Analytics

M.S. in Business Analytics Program Information

Available onsite at Franklin University , online at Franklin University .

The Master of Science in Business Analytics (MSBA) program is designed to equip students with the statistical and analytical skills needed to pursue a career in a fast-growing field. Students are trained in topics that include Database Management; Data Analytics; Data Visualization and Presentation; Big Data Analytics; Marketing Management and Analytics; Financial Decision Modeling; and Business Strategy. Students will learn the tools and techniques needed to analyze business-related data including descriptive, predictive, prescriptive and diagnostic data. They will learn to apply analytics across a wide range of industries and functions including finance, insurance, retail and healthcare.

Program Learning Outcomes

A learning outcome map functions as a roadmap to help guide students' progress through their program of study. It shows where each outcome is Introduced (I), Reinforced (R), and Assessed (A) within the program's curriculum.
	1	2	3	4	5
MATH 601	I
COMP 630	R	I, R
DATA 605			R, A
DATA 610			I, R, A
BUSA 603				A
BUSA 604				R, A
BUSA 605				A	A
BUSA 695	A	A	A	A	A

Develop foundational statistical and data analytics skills applicable to business decision making and problem solving
Collect, clean, prepare, and visualize data to support fact-based decision making
Apply descriptive, predictive, prescriptive and diagnostic approaches to analyzing structured and unstructured data for specific business-related scenarios
Model and Interpret results from analytics using business-relevant and applicable scenarios
Present and communicate analytics results in ways that are visually appealing and applicable to business scenarios

Curriculum & Course Descriptions

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 statistics and data analytics. Topics to be covered include data collection, data analysis and visualization as well as probability, statistical inference and regression 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.

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.

DATA 630 - Applied Database Management (4)

This course teaches data management from an applied perspective. The topics include fundamentals of database management systems, structured query language (SQL) for data analytics, relational database design, and data warehousing.