Harness the new language of business
Modern companies rely on data-savvy professionals to drive their marketing initiatives, optimize operations and capitalize on new market trends. The BS in Business Analytics teaches you the skills needed to extract and manage data, as well as design and implement analytics-based solutions. Upon graduating, you’ll be positioned for a lucrative career as an analyst in fields such as marketing research, finance, advertising, management and supply chain operations, to name just a few.
Our multidisciplinary curriculum combines core business knowledge with a strong foundation in skills such as data mining and analysis, database management and predictive modeling. Courses utilize the same powerful tools and software used by professional data analysts, including SQL programming language, SAS (the leader in commercial analytics software) and Tableau (interactive data visualization software). After completing the program, you will be awarded a Certificate in Business Analytics using SAS.
A hallmark of the program is its experiential component. During the capstone course, you’ll utilize the business analytics tools and techniques you’ve accumulated to prepare a solution for a major business or social project. An internship, required for all business analytics students, provides you with the opportunity to use these skills and insights in a professional setting under the supervision of practicing experts.
Student Profile: Sean Regan ’20
Business student scores internship with Boston Bruins
As an intern with the Boston Bruins in 2019, Sean Regan `20 proved he has the talent to succeed at the highest levels in the exciting, competitive and rapidly growing field of sports analytics.
Each day, Regan, who is pursuing a minor in business analytics, put his knowledge to work on a range of complex projects, one of which was building regression models to predict concession revenue and predicting consumer behavior on the Bruins pro shop website.
“My time at the Bruins has only cemented my dream of working in this industry — particularly in an analytics role,” said Regan.
It wasn’t the first time Regan displayed such capability and poise during an important internship, something that Kiku Jones, associate professor of computer information systems, knows very well.
“He isn’t afraid to get out of his comfort zone,” said Jones. “As a sophomore, Sean accepted an internship with the FBI, which may have intimidated some students — but he went right ahead.”
Regan credits the School of Business and CIS department with helping him develop the confidence and skillsets needed to excel during his internships and, eventually, in professional sports analytics.
Curriculum & Requirements
Program Core Courses (with concentrations), 30 credits
- CIS 350 Advanced Excel, 3 credits
- CIS 355 Data Visualization, 3 credits
- CIS 351 Database Management, 3 credits
- BAN 210 Data Preparation & File Structure, 3 credits
- BAN 400 Data Mining, 3 credits
- BAN 420 Machine Learning, 3 credits
- BAN 484 Business Analytics Internship, 3 credits
- BAN 450 Business Analytics Capstone, 3 credits
Elective Courses (choose 2)
- BAN 300 Statistical Programming, 3 credits
- BAN 310 Web Analytics, 3 credits
- BAN 320 Hadoop, 3 credits
- BA 410 Social Media Analytics, 3 credits
- CIS 245 Intro. to Object Oriented Programming, 3 credits
- MGT 342 Supply Chain Analytics, 3 credits
- FIN 325 Financial Analytics, 3 credits
- MKT 321 Marketing Analytics, 3 credits
Business Courses, 34 credits
- SB 101 The Business Environment, 3 credits
- CIS 101 Introduction to Information Systems, 3 credits
- SB 250 Career Planning/Development, 1 credit
- IB 201 Globalization & International Business, 3 credits
- MG 210 Mgt & Org. Behavior, 3 credits
- MG 211 Operations Mgt, 3 credits
- MK 201 Marketing Principles, 3 credits
- BLW 221 Business Law & Society, 3 credits
- FIN 201 Fund. of Financial Mgt, 3 credits
- AC 211 Financial Accounting, 3 credits
- AC 212 Managerial Accounting, 3 credits
- SB 420 Strategic Mgmt. Integr. Seminar, 3 credits
General Education Courses, 60 credits
- FYS 101 First-Year Seminar, 3 credits
- EC 111 Principles of Microeconomics, 3 credits
- MA 170 Probability & Data Analysis, 3 credits
- EN 101 Intro. Acad. Reading/Writing, 3 credits
- EC 272 Adv. Applied Statistics, 3 credits
- EC 112 Principles of Macroeconomics, 3 credits
- EN 102 Academic Reading/Writing, 3 credits
- Natural Science, 3 credits
- Humanities, 3 credits
- Fine Art, 3 credits
- Personal Inquiry (take 3 out of 4) from Art, Humanities, Science or Social Science, 9 credits
- Personal Inquiry 2 – Take two from the Disciplinary Areas and/or UC Breadth courses, 6 credits
- Open Electives (choose 5), 15 credits