MS in Business Analytics

1 Years On Campus Masters Program

College of William and Mary

Program Overview

The Master of Science in Business Analytics (MSBA) at William & Mary’s Raymond A. Mason School of Business prepares students to transform data into actionable business strategies through advanced analytics, machine learning, and artificial intelligence. The one-year residential program combines technical training, business knowledge, and an industry-based capstone project.

Curriculum Structure

Fall Semester

Students build analytical foundations through Competing in the Age of AI, Database Systems for Analytics and AI, and Decision Modeling under Uncertainty. They also study Foundations of Machine Learning for Business and Optimization to develop predictive and decision-making skills.

Spring Semester

Students advance through Big Data and Cloud Analytics, Advanced Machine Learning for Business, and Artificial Intelligence. They also study Data Visualization and Computational Business Models before applying their skills in the Business Analytics Capstone Project.

Focus Areas

Business Analytics, Machine Learning, Artificial Intelligence, Big Data, Cloud Analytics, Optimization, Data Visualization, Computational Modelling.

Learning Outcomes

Analyze complex datasets, build predictive models, apply AI and machine learning, optimize business decisions, visualize data, and communicate analytical insights.

Professional Alignment (Accreditation)

The residential MSBA is STEM-designated, potentially allowing eligible international students to apply for the STEM OPT extension. Separate program-specific professional accreditation is not stated on the official program page.

Reputation and Employability

  • Average salary: $87,000.

  • Full-time employment offer rate: 83%, as reported by the university’s residential MSBA career outcomes page.

  • Industry exposure: Client-based capstone projects, executive mentoring, and employer connections across more than 30 industries.

Experiential Learning (Research, Projects, Internships etc.)

At the College of William and Mary, 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 software, and collaborate with peers to solve complex business problems. The program emphasizes experiential learning through various facilities and resources that enhance the educational experience.

 

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

- Data Analytics Lab: Equipped with advanced software tools like R, Python, and Tableau, this lab allows students to analyze large datasets and develop data-driven insights.
- Capstone Projects: Students work in teams on real-world business challenges, partnering with local companies to provide actionable solutions based on data analysis.
- Internship Opportunities: The program encourages internships with leading firms, giving students the chance to apply their skills in professional settings and build valuable networks.
- Field Trips: Students have the opportunity to visit businesses and organizations, gaining insights into industry practices and trends directly from professionals.
- Research Facilities: Access to the Earl Gregg Swem Library and its extensive resources supports students in conducting thorough research for projects and assignments.
- Collaboration with the Mason School of Business: Students can engage with faculty and industry experts through workshops and seminars, enhancing their learning experience.
- Analytics Competitions: Participation in national and regional competitions allows students to showcase their skills and gain recognition in the field.

Progression & Future Opportunities

The MS in Business Analytics program at the College of William and Mary equips students with the skills and knowledge needed to thrive in today’s data-driven business environment. Graduates often find themselves in high-demand roles such as Data Analyst, Business Intelligence Consultant, and Operations Research Analyst. The program not only prepares you for immediate employment but also sets the stage for long-term career advancement:

 

- University Services: The Cohen Career Center offers personalized career coaching, resume workshops, and networking events specifically tailored for Business Analytics students. Additionally, the university hosts career fairs that connect students with top employers in the analytics field.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the Business Analytics program secure employment within six months of graduation, with starting salaries averaging around $70,000 annually.

- University–Industry Partnerships: The College of William and Mary has established partnerships with leading companies such as Deloitte and Capital One, 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 the education you receive meets the highest standards of quality and relevance in the business field.

- Graduation Outcomes: Alumni of the program have gone on to work for prestigious firms and have reported significant career growth, with many advancing to managerial positions within just a few years of graduation.

Further Academic Progression: After completing the MS in Business Analytics program, you may choose to further your studies by pursuing a Master’s degree in Data Science, an MBA with a concentration in Analytics, or even a Ph.D. in Business Administration. These advanced degrees can open doors to higher-level positions and specialized roles in the analytics field, allowing you to deepen your expertise and expand your career opportunities.

Program Key Stats

$$52 725
$$52 725
$75
Aug Intake : RD 5th Jan EA/ED 1st Nov


34%

Eligibility Criteria

BBB - BBC
2.5 - 3
25 - 28
70 - 80

6.5
79
Eligibility criteria

Career Options

  • Business Analyst
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Research Analyst
  • Market Analyst
  • Analytics Consultant
  • Operations Analyst
  • Risk Analyst
  • Decision Science Analyst
Career options

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