Start Ahead, Stay Ahead

The MS Analytics & AI for Business is a 9-month, full-time, in-person, STEM-designated graduate program that prepares students to use analytics and artificial intelligence to solve business challenges, make data-informed decisions, and lead AI initiatives that create organizational value.

Students develop the skills to:

• Align AI strategy with business goals
• Use analytics and AI to drive business decisions
• Design agentic AI workflows for automation
• Lead responsible AI implementation
• ​A​ssure outcome quality in AI use

Graduates leave with the practical skills to evaluate, implement, and lead AI-driven business solutions across industries, giving them a competitive advantage in a rapidly evolving workforce.

Designed for Emerging Leaders

The MS in Analytics & AI for Business is designed for recent grads and early-career professionals seeking to build practical AI and analytics expertise in a business-focused environment. The program develops the technical and strategic skills needed to work with AI in organizational settings.

This program is a strong fit for:

• Recent graduates preparing for AI-powered business careers
• Early-career professionals building analytics and AI expertise
• Future business leaders at the intersection of strategy and technology
• Students who value immersive, hands-on learning

AI is transforming how organizations operate across every industry. The program prepares graduates to understand, apply, and lead AI-driven solutions in ways that create meaningful business impact and offer a competitive edge.

Program Structure

A part-time structure is also available. Connect with the admissions team to learn more.

Curriculum Overview

Core Courses (18 credits)

Students choose 12 credits of electives, allowing them to tailor the degree toward their career goals. All electives must dedicate a substantial proportion of content to business analytics and/or AI topics.

Sample electives include:

• Accounting Data Analytics
• AI Analytics in Healthcare
• AI in Marketing
• Applied Simulation and Optimization
• Branding in the Age of AI
• Business Analytics – Strategic Essentials
• Business Systems Platforms
• Consulting Field Project
• Current Issues in Computing
• Database Management
• Digital & Social Media Analytics
• Financial Modelling
• Fintech
• Forecasting
• MIS Practicum
• Responsible AI for Business
• Technology Innovation, Adoption, and Diffusion

Experiential Learning

Students fulfill an experiential learning requirement through elective coursework, applying business analytics and AI to real-world challenges while developing the practical, data-driven decision-making skills employers seek.

Responsible Use

Students also complete elective coursework focused on the responsible use of AI developing the knowledge and judgment to navigate the ethical, governance, and regulatory implications of AI for business.

Qualifying electives include:

• Responsible AI for Business

Students in the MS Analytics & AI for Business program can earn a second graduate degree through an integrated dual-degree pathway. This structure combines specialized business expertise with applied AI and analytics skills in a streamlined format completed in as few as three semesters, with the flexibility to pursue a summer internship before graduating.

The MS Analytics & AI for Business can be paired with the following:

• MS in Accounting (45 credits)
• MS in Finance (45 credits)
• MS in Management (45 credits)
• MS in Marketing Science (45 credits)
• MS in Supply Chain Management (45 credits)
• MBA (60 credits)

Dual-degree graduates leave with two distinct credentials, and a broader, more versatile skill set that supports a wide range of career opportunities across business and technology-focused roles.

Learn more about dual-degree admissions requirements.

Students interested in building AI and analytics expertise incrementally can begin with a standalone credential before pursuing the full degree. Two options are available:

• Foundations of AI for Business Micro-Credential (9 credits): Core technical and strategic AI competencies for business applications
• Foundations of AI for Business Graduate Certificate (15 credits): An advanced skill set for leading AI implementation in business settings

Credits from credentials stack toward the MS Analytics & AI for Business.

Organizations across industries seek professionals who combine business knowledge with AI and analytics expertise. The MS Analytics & AI for Business prepares graduates for roles focused on data-informed decision-making, AI implementation, business strategy, and emerging technologies.

Career paths include:

• AI Adoption and Change Management 
• AI Ethicist / Compliance 
• AI Product Analyst
• AI Testing and Quality Assurance
• AI Product Manager
• AI Strategy Consultant 
• Analytics Associate/Consultant
• Business Intelligence Analyst
• Clinical Data Analyst
• Data Analyst
• Digital Insights Analyst
• Digital transformation 
• Fintech Analyst
• Market Research Analyst
• Operations Research Analyst
• Product Data Analyst
• Responsible-AI Lead

Demand for AI and analytics talent continues to grow nationwide, particularly in industries such as finance, consulting, healthcare, insurance, and technology. Graduates are prepared to bridge technical AI expertise and business decision-making, allowing them to design, evaluate and lead AI implementation that creates measurable organizational value.

Pittsburgh is a nationally recognized hub for AI, robotics, healthcare innovation, and technology-driven business growth. The city was recently named a Top 10 U.S. Market for AI Investment by Innovation Works. The region offers access to a network of employers, startups, researchers, and industry leaders working at the forefront of emerging technology.

Students benefit from proximity to:

• Leading AI, robotics, and technology research institutions
• Major employers in healthcare, financial services, consulting, and technology
• A growing startup ecosystem, particularly in AI and health technology
• Internship, networking, and career opportunities across a wide range of industries

Pittsburgh also offers a lower cost of living than many major metropolitan areas, helping students maximize the value of their graduate education while building professional experience in a fast-growing innovation economy.