Master of Science 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.

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.  

https://www.franklin.edu/degrees/masters/business-analytics