Lally Graduate Program applicants apply to either the MBA or individual M.S. programs. Our holistic admission process considers many factors, so we encourage you to submit all application components on time for careful consideration.

If you have any additional questions, please contact us at (518) 276-6565, lallymba@rpi.edu (MBA) or lallyms@rpi.edu(M.S.).

Fall start date only

GMAT (preferred), GRE accepted

Statement of Background and Goals

TOEFL score of 230 CBT/88 iBT/570 PBT (IELTS 6.5 or PTE 60)

TOEFL speaking subscore of 22 or IELTS speaking subscore of 6.5*

Businesses that know how to analyze and apply data (big or small) outperform competitors by up to 20 percent. Why, then, do so few companies draw powerful insights from data? The answer is simple – a lack of in-house talent. Lally's Master’s of Science in Business Analytics will prepare you to meet the biggest demand of 21st century business.

Our curriculum follows foundational business concepts with data management and statistical modeling, which you will customize with electives that include natural language processing, machine learning, marketing, and supply-chain management. You will learn to think critically about data. You will have access to diverse data sets, powerful computing and visualization resources, and real-world applications possible only at Rensselaer. We offer a small class size, dedicated faculty, and hands-on experience through class projects, and a capstone course with industry partners. The experience at Lally also includes mentoring from a highly engaged advisory board of executives in the business analytics profession .

“Rensselaer’s Lally School of Management offers a Master of Science in Business Analytics that combines Rensselaer’s history of excellence in technology with the Lally School’s business reputation for a perfect balance.” - Value Colleges' Top 50 Residential Big Data Graduate Programs of 2016

Our students come from the U.S., China, and India, as well as other countries. Students’ backgrounds range from business, to sciences, to engineering. Eight-six percent of our 2016-2017 graduates had jobs within three months of graduation, with an average salary of $73,856. Companies that have hired our graduates include: IBM, Research Now, Dentsu Aegis Network, Cisco Systems, The Comcast Corporation, Facts & Measures, Accenture, Dish Network, WalMart, QueBIT, LL Bean, and CDPHP.

Graduates are prepared to take first steps toward a transformative career as a data scientist, quantitative consultant, market and consumer analyst or any of the large and rapidly growing data driven positions within industry.