MS in Business Analytics & AI

10 Months On Campus Masters Program

Lehigh University

Program Overview

The Master of Science in Business Analytics & AI (MSBAi) at Lehigh University's College of Business prepares students to transform complex business data into meaningful insights and strategic decisions. Designed for graduates from diverse academic backgrounds, the programme combines business knowledge, programming, statistical analysis, data management, and artificial intelligence, helping students develop the technical and professional skills needed for careers in business analytics, data science, financial services, technology, and consulting.

Curriculum Structure

The programme consists of 34 credits, including 25 credits of core coursework and 9 credits of electives. It is designed to be completed in approximately 10 months, with an extended pathway available for students interested in pursuing a summer internship.

Summer Bootcamp

Students begin with a two-week preparatory bootcamp covering Analytics Foundations and Computational Foundations. These subjects introduce essential concepts in statistics, data analysis, programming, and data visualisation, helping students build the technical foundation required for advanced graduate-level coursework.

Fall Semester

The fall semester focuses on programming, predictive modelling, data management, and generative artificial intelligence. Students study Introduction to Generative AI, Python Applications for Business, Predictive Analysis in Business, and Data Management for Managers. These courses develop their ability to use Python for business applications, analyse large datasets, build predictive models, understand data management systems, and explore how generative AI can support business innovation and decision-making.

Spring Semester

The spring semester advances students' knowledge of business modelling, artificial intelligence, data governance, and practical analytics. Core subjects include Business Analytics and Modeling, Artificial Intelligence for Business, Data Ethics and Security in Business, and the Capstone Project. Students learn to apply analytical models to organisational challenges, evaluate AI applications, understand responsible data practices, and demonstrate their technical knowledge through a practical capstone project. They also select electives to explore specialised areas aligned with their career interests.

Focus Areas

Business analytics, artificial intelligence, data science, predictive modelling, Python programming, generative AI, statistical analysis, data management, data visualisation, business intelligence, financial engineering analytics, marketing analytics, supply chain analytics, accounting analytics, information technology, data ethics, data security, business modelling, and strategic decision-making.

The programme also offers six concentrations:

Accounting
Data Science
Financial Engineering Analytics
Information Technology
Marketing Analytics
Supply Chain Analytics

Learning Outcomes

Graduates develop the ability to collect, organise, analyse, and interpret complex business datasets, apply programming languages and analytical tools to business problems, build predictive models, use artificial intelligence to improve organisational decision-making, manage data securely and ethically, and communicate analytical findings effectively. They also develop practical expertise in Python, SQL, R, and Tableau, alongside leadership, teamwork, communication, and professional problem-solving skills through applied coursework and the capstone project.

Professional Alignment (Accreditation)

AACSB Accreditation: Lehigh University's College of Business is accredited by the Association to Advance Collegiate Schools of Business (AACSB), an internationally recognised accreditation held by fewer than 6% of business schools worldwide.
STEM Designation: The MSBAi is a STEM-designated degree, combining business disciplines with technology, mathematics, programming, and analytical methods.
Industry-Relevant Technical Skills: The curriculum incorporates Python, SQL, R, Tableau, predictive modelling, generative AI, and data management.
Practical Industry Experience: The capstone project allows students to apply classroom knowledge to real-world business challenges.
Professional Development: The NextYOU programme provides career coaching, job-search support, professional development, and networking opportunities. The additional AI Readiness track strengthens students' ability to adapt to emerging technologies.

Reputation (Employability Rankings)

QS World University Rankings 2027: Lehigh's MS in Business Analytics & AI ranked 100th globally (tied) among the Best Master's in Business Analytics programmes.
QS 2027 – United States: Ranked among the Top 40 Business Analytics master's programmes in the United States.
Average Graduate Salary: The programme reports an average salary of approximately $72,000 for its 2025 graduates.
Career Opportunities: Graduates can pursue roles such as Business Analyst, Data Analyst, Marketing Research Analyst, and Supply Chain Analyst.
Industry Opportunities: Potential employment sectors include public administration, healthcare, finance, insurance, technology, consulting, and business services.
International Learning Environment: The 2026 class profile includes 80% international students, with students representing different academic disciplines and professional backgrounds.

Experiential Learning (Research, Projects, Internships etc.)

At Lehigh University, the MS in Business Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with industry professionals, ensuring they are well-prepared for the demands of the analytics field. The program emphasizes experiential learning through various facilities and tools that enhance the educational experience.

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

- Data Analytics Lab: Equipped with advanced software and tools such as R, Python, Tableau, and SQL, this lab allows students to work on data analysis projects and gain proficiency in industry-standard technologies.

- Capstone Projects: Students collaborate in teams to tackle real business problems, working with local companies to provide actionable insights and solutions based on data analysis.

- Internship Opportunities: The program encourages students to pursue internships, providing valuable work experience and networking opportunities with leading companies in the analytics sector.

- Industry Partnerships: Lehigh has established connections with various organizations, facilitating guest lectures, workshops, and networking events that expose students to industry trends and practices.

- Field Trips: Students have the opportunity to visit companies and organizations that utilize analytics in their operations, offering insights into how data-driven decision-making is applied in the real world.

- Research Facilities: Access to the Lehigh University Library and specialized research centers allows students to conduct in-depth research and access a wealth of resources related to business analytics.

- Collaboration Spaces: Modern collaborative spaces are available for group projects, fostering teamwork and innovation among students.

These experiential learning opportunities not only enhance your academic journey but also equip you with the skills and experiences that employers are looking for in the competitive field of business analytics.

Progression & Future Opportunities

Lehigh University's MS in Business Analytics program equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. Alumni have successfully transitioned into roles such as Data Analyst, Business Intelligence Consultant, and Operations Research Analyst, leveraging their expertise to drive strategic decision-making in various industries.

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

- University Services: Lehigh offers dedicated career services, including personalized career coaching, resume workshops, and networking events with industry leaders, ensuring you are well-prepared for the job market.
- Employment Stats and Salary Figures: Graduates of the program have reported a high employment rate, with many securing positions within six months of graduation. The average starting salary for alumni is competitive, often exceeding $80,000 annually.
- University–Industry Partnerships: Lehigh has established strong connections with leading companies such as Amazon, Deloitte, and Johnson & Johnson, providing students with internship opportunities and real-world projects that enhance their learning experience.
- Long-term 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 and is recognized globally.
- Graduation Outcomes: The program boasts a strong track record of graduates advancing into leadership roles, with many alumni moving into senior positions within just a few years of completing their degree.

Further Academic Progression: After completing the MS in Business Analytics, you may choose to further your studies by pursuing a Ph.D. in Business Analytics or a related field. This path can open doors to academic positions, research opportunities, and advanced roles in data science and analytics. Additionally, you could consider obtaining professional certifications such as Certified Analytics Professional (CAP) or specialized credentials in data visualization or machine learning, which can further enhance your expertise and career prospects.

Lehigh University’s MS in Business Analytics is not just a degree; it’s a stepping stone to a successful and fulfilling career in a field that is only going to grow in importance.