M.S. in Business Analytics
32
Credit Hours
15
Months (Avg.)
Class Type
Face-to-face, Online coursework
Next Start Date
Jan 3, 2022
Placement Tests
GMAT/GRE not required for admission
Embedded Credentials
Graduate Certificate + SAS Badge

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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Request free program information or submit your online application.

Finish in 15 Months

Earn your degree and prepare for advancement faster.

100% Online Coursework Available

Balance earning your degree with other work-life commitments.

SAS Badge

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

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 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 7% through 2031.*

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, 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. 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. 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 SAS, 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.  

Note: If you wish to receive the SAS Tier 2 Academic Specialization in Data Analytics or the Graduate Certificate in Data Analytics alongside the master’s in Business Analytics, you must complete all the requisite courses at Franklin.  

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

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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.

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.

Corequisites
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.

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

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.

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.

Earn a badge that differentiates you among analytics professionals

As part of your Franklin master’s degree, you’ll also earn a SAS Tier 2 Academic Specialization in Data Analytics.

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

7%

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

All Occupations

2021
2,895,276 jobs
2031
3,110,367 jobs
Show Details >

General and Operations Managers

2021
2,512,817 jobs
2031
2,705,137 jobs

Operations Research Analysts

2021
102,646 jobs
2031
124,987 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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