M.S. in Business Analytics

Demand for business people with deep analytical skills could outstrip current projections of supply by 50 to 60 percent.*

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.  

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 2014-2015 graduates had jobs within three months of graduation, with an average salary of $71,500. 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. 

To meet our current students, click here.

Curriculum & Courses

The Lally M.S. in Business Analytics curriculum balances foundational business concepts with skills in anlaytical and statistical modeling and data management.

Business Core Courses

  • Statistics for Managerial Decision Making
  • Introduction to Accounting and Financial Management
  • Information Systems of Management

Analytics Core Courses

  • Technology Fundamentals for Analytics
  • Predictive Analytics
  • Advanced Data Resource Management
  • Advanced Quantitative Methods
  • Analytics Capstone

Electives (choose two)

  • Machine & Computational Learning
  • Natural Language Processing
  • Interactive Data Visualization
  • Marketing Analytics
  • Database Mining
  • Projects in Big Data Analytics
  • Risk Management
  • Supply Chain Analytics
  • Data and Society
  • Financial Econometric Modeling
  • Internet Marketing
  • Marketing Research Supply