Master of Science in Business Analytics & AI

Master of Science in Business Analytics & AI

Why Earn a Master of Science in Business Analytics & AI at the Smith School?

Develop Analytical Skills That Drive Better Business Decisions

The Robert H. Smith School of Business prepares you to become the analytical problem-solver organizations need to tackle today's complex business challenges.

In the Master of Science in Business Analytics & AI program, you'll learn to transform data into actionable insights using statistical modeling, data visualization, predictive analytics, responsible AI and business intelligence tools.

Through experiential learning projects and guidance from expert faculty, you'll apply analytics and AI to solve real business problems, lead data-driven decision-making and create meaningful impact.

Credits
30
Duration
3 semesters
Format
In-person
Ranked #1
MS in Business Analytics, DMV area
(U.S. News & World Report, 2026)

Why Smith?

  • Develop data analytics and AI expertise through a comprehensive graduate curriculum.
  • Apply what you learn through experiential learning projects using real-world business data
  • Learn from faculty whose research is advancing data analytics.
  • Collaborate with peers from diverse academic backgrounds through team-based projects.

Who Is the Master of Science in Business Analytics & AI For?

Data-Driven Problem-Solvers

The Master of Science in Business Analytics & AI is designed for recent graduates from a diverse set of backgrounds who have an interest in using data to tell a story and solve complex business problems. You'll build the technical and strategic skills needed to apply AI responsibly, uncover meaningful insights from data and help organizations make informed decisions.

No prior coding or technical experience is required. You'll develop your quantitative skills throughout the program, including optional bridge coursework before classes begin.

Ideal candidates include:

  • Analytical thinkers who want to solve business problems with data.
  • Recent graduates seeking specialized expertise in data analytics and AI.
  • Student-athletes interested in careers in sports analytics.
  • Computer science graduates seeking applied business experience.

No matter your professional or academic background, you'll graduate with proficiency in AI and data analytics, the ability to generate data-driven business insights and communication skills to explain complex findings to others.

What Will You Learn in the Master of Science in Business Analytics & AI Program?

Develop the Skills Driving the Future of Business

The Master of Science in Business Analytics & AI curriculum emphasizes critical thinking, preparing you for roles that continue to experience strong market demand. Through coursework and experiential projects, you'll learn the best ways to communicate your insights to influence organizational decision-making.

Artificial Intelligence

Analyze large datasets more efficiently, identify patterns and trends, and support business decisions with responsible AI.

Data-Driven Decision-Making

Use data to evaluate business challenges, assess opportunities and develop strategic recommendations. 

Data Visualization

Create dashboards and visualizations that communicate key metrics, monitor performance, and support informed decision-making.

Coding

Learn programming languages like Python, R and SQL to collect, organize, prepare and analyze data.

Decision Analytics

Evaluate business scenarios, assess risk and recommend data-informed strategies.

Simulation and Optimization

Develop models that simulate business scenarios, evaluate potential outcomes and optimize decisions for improvement.

Apply What You Learn

You’ll develop these skills through: 

  • Experiential learning
  • Machine learning projects
  • Business case studies
  • Portfolio-building projects

By graduation, you’ll be proficient in using AI and analytical tools to make informed decisions and solve complex business challenges.

Explore the Curriculum

Smith combines focused coursework with applied projects, a student community and mentorship from faculty — like Suresh Acharya. It was a combination I didn't find anywhere else.

Pravah Pravin Malunjkar

Jr. Software Developer at 23XI Racing

Career Outcomes

Prepare for High-Growth Analytics and AI Careers

81% of Smith’s recent master’s in business analytics graduates secured employment within 180 days of graduation and report an average salary of $87K. As business analysts advance in their careers, they can earn an average annual wage of $150K.

Sources: UMD Smith Office of Career Services (2025); ZipRecruiter (2026)

View Employment Report

Analytics Bridge Program

If you need a refresher for your coding and quantitative skills, our Analytics Bridge Program can help you get up to speed. Take mini-courses and workshops in math, statistics, R, Python, SQL and other key skills so you can begin the program with confidence.

Quantitative Skill Building

Calculus mini-course
Statistics mini-course

Coding Skill Building

R skill building workshop
Python skill building workshop
SQL skill building workshop

Conceptual Skill Building

Technology fundamentals
Problem-solving strategies

Learn From Faculty Shaping the Future of Business Analytics & AI

Teaching that Translates into Real-World Impact

At the Robert H. Smith School of Business, you’ll learn from faculty who are experts in their field. From consumer science to machine learning, their research influences organizations, informs public policy and brings the latest in business analytics and AI to the classroom.

Sujin Kim is the academic director of the program.

Eaman Jahani

Eaman Jahani
AI Collaboration and Organizational Behavior Expert
Human-AI Collaboration
Network Science
Causal Inference

Kunpeng Zhang

Kunpeng Zhang
AI and Large Language Model Expert
Artificial Intelligence
Natural Language Processing
Machine Learning

Sujin Kim

Sujin Kim
Operations and Simulation Expert
Decision Analytics
Optimization
Stochastic Modeling

How Is AI Integrated Throughout the Curriculum?

Apply AI as a Strategic Business Tool

In the Master of Science in Business Analytics & AI program, you’ll learn to use AI responsibly to make informed business decisions while developing the communication, judgement and strategic thinking skills that technology can’t replace. 

AI-powered tools you’ll use:

  • Agentic AI and Generative AI
  • Amazon Web Services (AWS)
  • Google Analytics
  • Large Language Models (LLMs)
  • Power BI
  • Tableau 

By graduation, you’ll be able to combine AI with strategic thinking and human insight to overcome complex business challenges and create measurable business value.

Frequently Asked Questions

Yes. Organizations increasingly rely on data and AI to inform strategic decisions. This degree prepares you with the analytical, technical and business skills needed to create value across industries while positioning you for strong career outcomes in one of today's fastest-growing fields.

No. The Master of Science in Business Analytics & AI welcomes students from a diverse set of academic backgrounds, including communications, sports science and computer science. Successful applicants bring transferable skills such as critical thinking, strategic analysis and problem-solving. We’ll prepare you to develop the technical expertise needed to thrive in business analytics careers.

The Master of Science in Business Analytics & AI combines technical analytics skills with business strategy, responsible AI and experiential learning. You'll gain hands-on experience using AI and analytics tools while learning to communicate insights, make data-driven decisions and solve complex business challenges.

Have More Questions?

The Smith School's Graduate Admissions Office is here to help. Whether you have questions about the curriculum, admissions requirements, application process, or student experience, we’re happy to help you determine if the Master of Science in Business Analytics & AI is the right fit for your goals.

Schedule a Consultation

Graduate Admissions
2303 Van Munching Hall
College Park, MD 20742-1815

Phone: 301-405-2559
Email: smithmasters@umd.edu
Hours: Monday–Friday, 8:30 a.m. to 4:30 p.m.

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Questions? Contact the MBA & Business Master's Admissions Office at 301-405-2559 or SmithMasters@umd.edu.

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