MS in Business Analytics

2 Years On Campus Masters Program

Rensselaer Polytechnic Institute

Program Overview

The Master of Science in Business Analytics at Rensselaer Polytechnic Institute (RPI), offered through the Lally School of Management, is a one-year, STEM-designated programme that combines business knowledge with advanced data analytics, statistical modelling and technology. It is ideal for students who want to use data to solve business challenges, improve organisational decisions and build careers in fields such as consulting, finance, technology, marketing and operations.

Curriculum Structure

The programme is typically completed in one year of full-time study. RPI does not publish a fixed year-by-year or semester-by-semester course sequence on its official programme page, so the curriculum is best described through its main learning areas.

Students develop a strong foundation in the quantitative and statistical methods used in business analytics, alongside practical skills in data management and advanced modelling. They also gain experience applying predictive analytics, machine learning, natural language processing and data visualisation to real business datasets, helping them turn complex information into useful insights.

The programme connects these technical skills with business decision-making. Students can explore applications in marketing and supply chain analytics while learning to communicate findings through data storytelling and presentations. The Lally School also provides exposure to industry perspectives through mentorship from executives on its Advisory Board and engagement with its Center for Supply Networks and Analytics.

Focus Areas

Business Analytics, Data Management, Quantitative Analysis, Statistical Modelling, Predictive Analytics, Machine Learning, Natural Language Processing, Data Visualisation, Big Data, Artificial Intelligence, Marketing Analytics, Supply Chain Analytics, Business Intelligence, Data Storytelling and Data-Driven Decision-Making.

Learning Outcomes

Graduates develop the ability to apply quantitative and statistical methods to business problems, use advanced modelling and predictive analytics techniques, design and manage datasets, and work with emerging technologies such as big data, artificial intelligence and data visualisation. They also learn to interpret analytical findings, communicate insights effectively and connect technical results with business strategy and organisational decisions.

Professional Alignment

STEM-designated programme: The degree is officially classified as STEM-designated, reflecting its emphasis on quantitative methods, analytics and technology.
Optional Practical Training (OPT): Eligible international graduates may qualify for up to 36 months of post-completion OPT in the United States, subject to immigration requirements.
Industry relevance: The programme uses real-world datasets and analytical tools, with industry perspectives provided through the Lally Advisory Board.
Accreditation: RPI’s Lally School holds AACSB accreditation for its business education. However, the university does not identify a separate professional accreditation specifically for the M.S. in Business Analytics.

Reputation and Employability

Ranking: The programme was ranked No. 1 in the United States by TFE Times for 2026, following recognition in its 2023, 2024 and 2025 rankings.
Average starting salary: RPI reports an average starting salary of USD 99,400 for graduates of the programme.
Employer connections: Graduates have been hired by organisations including Accenture, Amazon, American Airlines, BlackRock, Bloomberg, Deloitte, Ernst & Young, IBM, Johnson & Johnson, Microsoft, Pratt & Whitney and Wayfair.
Career opportunities: Graduates may pursue roles such as Data Scientist, Business Intelligence Analyst, Quantitative Consultant, Market Research Analyst, Consumer Analyst, Analytics Manager, Business Analyst, Data Analyst, Predictive Analytics Specialist and Supply Chain Analyst.

Experiential Learning (Research, Projects, Internships etc.)

At Rensselaer Polytechnic Institute, the MS in Business Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. The curriculum emphasizes experiential learning through various opportunities, including collaborative projects, internships, and access to cutting-edge technology and facilities. Students engage in real-world problem-solving, working with industry-standard tools and software that prepare them for successful careers in analytics.

Here are some key aspects of the experiential learning opportunities available in the MS in Business Analytics program:

- Collaborative Projects: Engage in team-based projects that simulate real business challenges, allowing you to apply analytical techniques and data-driven decision-making.

- Internships: Gain valuable work experience through internships with leading companies, providing you with insights into the industry and enhancing your resume.

- Software Proficiency: Work with industry-standard software such as R, Python, Tableau, and SQL, equipping you with the technical skills that employers seek.

- Data Analytics Lab: Access the dedicated Data Analytics Lab, which is equipped with advanced computing resources and software tools for data analysis and visualization.

- Field Trips: Participate in field trips to local businesses and organizations, offering firsthand exposure to how analytics is applied in various sectors.

- Research Opportunities: Collaborate with faculty on research projects that explore innovative applications of analytics in business, contributing to your academic and professional growth.

- Libraries and Resources: Utilize the extensive resources available at the Folsom Library and the Rensselaer Libraries, which provide access to a wealth of academic journals, databases, and research materials.

- Institute for Data Exploration and Applications (IDEA): Benefit from the resources and expertise of IDEA, which focuses on advancing data science and analytics research and education.

These experiential learning components are integral to the MS in Business Analytics program, ensuring that you not only learn the theory but also gain the practical skills necessary to excel in the field.

Embarking on this journey at Rensselaer will empower you to become a leader in the rapidly evolving world of business analytics!

Progression & Future Opportunities

The MS in Business Analytics at Rensselaer Polytechnic Institute equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. Alumni of this program often find themselves in high-demand roles such as Data Analyst, Business Intelligence Consultant, and Analytics Manager. With a strong foundation in analytics and business strategy, graduates are well-prepared to tackle complex challenges in various industries.

Here’s how Rensselaer supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $85,000.
- University–Industry Partnerships: Rensselaer has established partnerships with leading companies such as IBM and Deloitte, providing students with networking opportunities and real-world project experiences.
- Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds significant value in the job market.
- Graduation Outcomes: Graduates have successfully transitioned into roles at top firms, showcasing the program's effectiveness in preparing students for the workforce.

Further Academic Progression: After completing the MS in Business Analytics, you may choose to pursue a Ph.D. in a related field, such as Information Systems or Business Administration, allowing you to delve deeper into research and academia. Alternatively, you could consider obtaining professional certifications in data analytics or business intelligence to further enhance your expertise and career prospects.

Choosing Rensselaer for your graduate studies means investing in a future filled with opportunities and growth in the dynamic field of business analytics.