Business Analytics and Applied AI MS

2 Years On Campus Masters Program

University at Buffalo SUNY

Program Overview

The Business Analytics and Applied AI MS at the University at Buffalo prepares students to turn complex data into meaningful business decisions by combining technical expertise, managerial knowledge and communication skills. Designed for students who want to build careers in the growing fields of business intelligence, data analytics and artificial intelligence, the program develops expertise in data-driven decision-making, data visualization, predictive analytics and data storytelling, helping graduates communicate insights and solve real-world business challenges.

Curriculum Structure

Foundational Stage – Building Analytical and AI Knowledge

Students begin by developing the technical and mathematical foundations needed to work with business data and artificial intelligence. Courses such as Database Management Systems, Foundations of AI and Society, and Mathematical and Computational Fundamentals for AI and Society introduce database technologies, AI concepts and the computational principles behind intelligent systems.

Advanced Analytics Stage – Applying Data to Business Decisions

As students progress, they develop stronger analytical and problem-solving abilities through Statistical Foundations of Analytics, Predictive Analytics, and Applied AI for Managers. These subjects help students understand statistical methods, identify patterns in data, build predictive insights and explore how AI can support managerial decisions.

Business Application and Specialisation Stage

Students further strengthen their ability to communicate analytical findings through Data Visualization for Business Insights and apply their knowledge through the AI Capstone. They also select a foundational analytics course and an elective, with options such as Programming for Data Analytics, Digital Marketing Analytics, Financial Modeling, Healthcare Analytics and Supply Chain Analytics, allowing them to align their studies with their professional interests.

Note: The university publishes a course-based curriculum rather than a fixed year-by-year study plan. The stages above are a descriptive grouping of the published subjects, not an official semester sequence.

Focus Areas: Business Intelligence, Business Analytics, Applied Artificial Intelligence, Database Management, Statistical Analysis, Predictive Analytics, Data Visualization, Data-Driven Decision-Making, Data Storytelling, Financial Analytics, Marketing Analytics, Healthcare Analytics, Supply Chain Analytics.

Learning Outcomes: Apply statistical and computational techniques to business problems, manage and interpret complex datasets, develop predictive analytical models, understand and apply AI in managerial decision-making, communicate insights through data visualization and storytelling, evaluate business challenges and recommend evidence-based solutions.

Professional Alignment (Accreditation): The program is offered through the University at Buffalo School of Management. The school is part of the AACSB-accredited business-school community, and the university identifies the degree as a STEM-designated program. The STEM designation is particularly valuable for eligible international F-1 graduates seeking an additional 24 months of Optional Practical Training (OPT) in the United States.

Reputation (Employability Rankings): The University at Buffalo School of Management ranks among the top 10% of AACSB-accredited business schools according to Bloomberg Businessweek and U.S. News & World Report, as reported by the university. It also identifies itself as the number-one-ranked business school in the SUNY system.

Experiential Learning (Research, Projects, Internships etc.)

The program places a strong emphasis on learning through practical business challenges rather than relying entirely on classroom theory. Students work with real-world datasets, develop analytical solutions, present their findings and explore professional certifications that strengthen their technical capabilities. The university also provides opportunities to gain industry experience through internships, collaborative projects and supervised research.

Students can develop practical expertise through the following opportunities:

AI Capstone Project: Complete a required comprehensive project using real-world datasets during the final semester, with an emphasis on data-driven storytelling and solving business problems.
Projects Clinic: Work as a paid student assistant on practical projects alongside community partners, gaining experience with different organisations and business challenges.
Internships: Explore internship opportunities in relevant industries and functional areas, working on real-world assignments while developing professional networks with colleagues and supervisors.
IBM Data Science Certification: Develop skills in Python, SQL, data analysis, data visualization and machine learning models.
Microsoft Professional Program in Data Science: Build technical and functional data science skills through online coursework, hands-on labs and a final capstone project.
SAS Base Programmer Certification: Demonstrate programming capabilities and strengthen technical skills relevant to analytics.
Tableau Certifications: Develop data visualization expertise through Tableau Desktop Specialist, Qualified Associate and Certified Professional credentials.
Salesforce Certifications: Explore credentials that recognise knowledge and practical skills in cloud technologies.
Supervised Research: Work individually with a faculty member to explore a research topic, understand research methodologies and develop skills in critical thinking, planning and problem-solving.
Industry and Global Exposure: Take advantage of networking, leadership development, cultural exploration and global learning opportunities in Buffalo, New York City, Toronto and other North American locations.

Progression & Future Opportunities

Graduates of the Business Analytics and Applied AI MS can pursue opportunities across technology, finance, healthcare, consulting, marketing and other data-driven industries. The combination of analytical, AI, managerial and communication skills prepares students for roles such as Business Intelligence Analyst, Data Scientist, Business Analytics Consultant and Predictive Analytics Specialist. The program's STEM designation also provides eligible international F-1 graduates with the opportunity to apply for an additional 24 months of OPT in the United States.

Students can strengthen their career prospects through the following university resources and professional opportunities:

Career Resource Center (CRC): Receive individualised career guidance, develop a professional career strategy, explore employment opportunities and prepare for interviews through dedicated career-development programmes.
Internship and Employment Support: Access internship opportunities and practical career preparation through the School of Management's Career Resource Center and Office of Internships and Experiential Learning.
Employment and Salary Outcomes: According to the university's published Class of 2025 employment statistics, MS Business Analytics graduates achieved an average base salary of $87,143, with reported salaries ranging from $65,000 to $135,000.
Industry Connections: Graduates have secured employment with organisations including Citi, M&T Bank, Johnson & Johnson, Target, Walmart, Infosys, Honeywell, Comcast, BNY Mellon and London Stock Exchange Group. These employer connections demonstrate the range of industries in which graduates can pursue opportunities.
Professional Certifications: Students can strengthen their professional profiles through industry-recognised credentials in IBM Data Science, Microsoft Data Science, SAS programming and Tableau data visualization.
Alumni Network: Connect with the University at Buffalo School of Management's international alumni community, including graduates working in technology companies, financial institutions, government organisations and nonprofits.
International Career Opportunities: The STEM designation offers eligible F-1 graduates the possibility of extending their US work experience through the additional 24-month OPT period.
Long-Term Professional Recognition: The school's AACSB accreditation and its standing among highly ranked business schools provide an established business-education foundation that graduates can carry into their future careers.

Further Academic Progression: After completing the MS in Business Analytics and Applied AI, graduates can consider pursuing a PhD in Business Administration, Management Information Systems, Business Analytics, Data Science or Artificial Intelligence. They may also explore advanced research opportunities in machine learning, predictive modelling, business intelligence and applied AI, depending on their academic interests and the admission requirements of the chosen institution.