MS in Business Analytics

1 Years On Campus Masters Program

University of Rochester

Program Overview

The MS in Business Analytics at the University of Rochester’s Simon Business School helps students turn complex data into practical business insights through a combination of analytical training, business knowledge, and hands-on projects. This approximately one-year, STEM-designated program is ideal for students who want to build careers in data analytics, consulting, marketing, finance, or pricing, with training in Python, R, Tableau, statistical methods, and machine learning, plus the option to complete an internship.

Curriculum Structure

Year 1: Core Business Analytics and Technical Skills

Students develop a strong foundation in programming, statistics, economics, and business decision-making. Courses such as Programming for Analytics, Core Statistics for MS Students Using Python, and Economics and Marketing Strategy for MS Students help students learn to work with data, understand market behavior, and use analytical methods to support business decisions. They also study Analytics Design and Applications and Data Management and Warehousing, gaining experience in tools and techniques used to organize, analyze, and interpret business data.

Year 1: Advanced Analytics, Electives, and Applied Projects

Students build on their core knowledge through advanced analytics coursework, electives, and a practical capstone project. Courses such as Prescriptive Analytics with Python, Social Media and Text Analytics, and Machine Learning for Business Analytics help students explore optimization, unstructured data, and predictive modeling. Through the Business Analytics Project, students apply analytical tools to real-world business problems using actual data, preparing for work in areas such as consulting, finance, marketing, and sales analytics. Students can also explore electives in AI, pricing, operations, and supply chain analytics, with opportunities to pursue an internship depending on their chosen track.

Focus Areas

Business analytics, statistical analysis, Python programming, R, Tableau, predictive analytics, causal analytics, prescriptive analytics, machine learning, big data, data management and warehousing, social media and text analytics, artificial intelligence, generative AI, pricing analytics, marketing strategy, operations management, supply chain analytics, business communication, and data-driven decision-making.

Learning Outcomes

Graduates develop the ability to collect, manage, and analyze business data, apply statistical and programming techniques, and translate analytical findings into actionable business recommendations. They learn to use Python, R, and Tableau; build and evaluate predictive models; apply causal and prescriptive analytics to business problems; and communicate insights effectively to stakeholders. Through practical coursework and the Business Analytics Project, students also strengthen their problem-solving, teamwork, and project management skills.

Professional Alignment (Accreditation)

The MS in Business Analytics is STEM-designated, reflecting its emphasis on quantitative analysis, programming, and data-driven problem-solving. Eligible international graduates may qualify for a 24-month STEM OPT extension in the United States, subject to immigration requirements. Simon Business School holds AACSB accreditation, an internationally recognized accreditation for business education. This accreditation applies to the business school rather than serving as a separate professional certification for the MS in Business Analytics degree.

Reputation (Employability and Career Outcomes)

Simon Business School emphasizes career preparation through professional development, employer engagement, networking, and practical analytical projects. According to the university’s published program information, MS in Business Analytics graduates employed in the United States reported a mean base salary plus signing bonus of $75,801 in 2025. The school identifies career paths such as market research, sales analytics, and pricing, with sample hiring companies including Bain & Company, Deloitte, Goldman Sachs, and TikTok. These figures and examples are university-reported outcomes; they do not guarantee an individual graduate's employment or salary. Simon Business School also reports rankings for the school as a whole, but these should not be interpreted as rankings specifically for the MS in Business Analytics program.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Rochester, the MS in Business Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. The program emphasizes experiential learning through various opportunities, including collaborative projects, internships, and access to cutting-edge technology and resources. Students engage in real-world problem-solving, allowing them to apply analytical techniques and tools in a business context.

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

- Capstone Projects: Students work on team-based capstone projects that involve real companies, allowing them to tackle actual business challenges and present their findings to industry professionals.

- Internship Opportunities: The program encourages internships, providing students with the chance to gain valuable work experience and network with industry leaders.

- Access to Advanced Software: Students utilize industry-standard software such as R, Python, Tableau, and SQL, equipping them with the technical skills needed in the analytics field.

- Data Analytics Lab: The university features a dedicated Data Analytics Lab, where students can experiment with data visualization and analysis tools in a collaborative environment.

- Field Trips and Industry Visits: The program includes field trips to local businesses and organizations, offering students insights into how analytics is applied in various sectors.

- Research Institutes: Students have access to research institutes like the Simon Business School’s Center for Business Analytics, which fosters innovation and collaboration on analytics projects.

- Library Resources: The University of Rochester libraries provide extensive resources, including databases and journals focused on business analytics and data science.

Progression & Future Opportunities

The MS in Business Analytics at the University of Rochester 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, graduates are well-prepared to tackle complex business challenges and drive strategic decision-making.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Simon Business School offers dedicated career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The Simon Career Management Center also hosts employer information sessions and career fairs specifically tailored for business analytics students.

- Employment Stats and Salary Figures: According to recent data, over 90% of Simon graduates secure employment within three months of graduation, with starting salaries averaging around $85,000. Many graduates see significant salary increases as they gain experience in the field.

- University–Industry Partnerships: The University of Rochester has established partnerships with leading companies such as Deloitte, PwC, and IBM, providing students with opportunities for internships, real-world projects, and networking that can lead to job placements.

- Long-term Accreditation Value: The Simon Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB), a distinction held by only 5% of business schools worldwide. This accreditation ensures that your degree holds significant value in the job market.

- Graduation Outcomes: Graduates of the MS in Business Analytics program have gone on to work for top firms in various industries, including finance, healthcare, and technology, demonstrating the versatility and demand for skills acquired in this program.

Further Academic Progression: After completing the MS in Business Analytics, you may choose to further your studies by pursuing a PhD in Business or a related field, which can open doors to academic positions or advanced research roles. Alternatively, you could consider specialized certifications in data science or machine learning to enhance your expertise and marketability in the analytics domain.