MSBA Decision Science Track

Become a Pivotal Player in Transforming Data into Action

Students in the MSBA Decision Science Track graduate with the ability to distill comprehensive decision science analytics, process analytics and performance prediction insights for strategic decision-making and operational improvements.

 

   Inquire 鶹Ƶ the Program

"I chose Leeds MSBA because it was a fastpaced 10-month program which would help me accelerate in my career."

- Himani Porwal  
  (MSBA ‘24)

Program Details

  • Starts in July.
  • GMAT/GRE test scores are optional.
  • The full-time, in-person program is 10 months. The part-time, online program format takes two years to complete.
  • Automatic admission is granted to recent Leeds graduates and CU graduates with a Business Minor with at least a 3.0 GPA.
  • No coding or technical background is required.
  • Technical, quantitative and statistically intensive. Learn data architecture, functional analytic problem-solving and soft, durable skills.

Curriculum  Tuition 

   

Students discussing

Careers in Decision Science

The Decision Science Track prepares students to accelerate their careers in the high-demand, decision science field. Employment growth and demand for marketing analytics experts is high, and Leeds' students find jobs with companies like Dish Network, EKS&H, First Bank, Hunter Douglas, IBM and Johns Manville.

Professionals in decision science apply the concepts and tools to design and manage business processes in forecasting, risk management, performance evaluation and other areas is shaping the future by extracting insights to make informed strategic choices.

Common job titles include Data Strategist and Statistical Analyst.

More 鶹Ƶ MSBA Careers     

Be prepared to work with divisional marketers to interpret and analyze digital marketing data, then provide insights and action plans to help business partners drive performance against key performance indicators. Requires understand and fluently uses company technology & analytics tools to measure & analyze online marketing performance; works with business partners to establish digital Key Performance Indicators (KPIs) & metrics and works across organization and Areas to create consistent calculated metrics.

Decision Science Track Faculty

Meet our award-winning faculty, recognized for their innovative teaching approach and their cutting-edge research in top academic journals.

Associate Professor and Strategy, Entrepreneurship and Operations PhD Program Director

STRATEGY, ENTREPRENEURSHIP AND OPERATIONS

Thomas Vossen is from the Netherlands and has an extensive background in computer science and business. Before joining the Leeds School of Business, he served in the Royal Dutch Navy as a Systems Analyst for the Naval Intelligence Department.

Vossen uses computer simulation and optimization models to figure out practical solutions to everyday business problems like air traffic delays. “It is fun to really figure something out, to understand connections and how they impact each other. There is a puzzle factor to it that makes it interesting,” he says.

His 2006 paper, “Slot Trading Opportunities in Collaborative Ground Delay Programs”, examined the Federal Aviation Administration (FAA) and airlines system for dealing with delayed flights. Airlines are often aware of flight delays hours in advance, so they ground flights rather than circling a congested airport because it is cheaper and safer. Through the FAA these grounded flights may switch arrival time slots. Building off of this idea, Vossen developed a computer optimization model to maximize on-time performance of flights and minimize passenger delays in as fair and equitable way as possible. Link to bio.

Assistant Professor and Information Analytics PhD Program Director

ORGANIZATIONAL LEADERSHIP AND INFORMATION ANALYTICS

Zhiyi Wang is an Assistant Professor of Information Systems in the division of Organizational Leadership and Information Analytics, Leeds School of Business, 鶹Ƶ. He received his PhD in Information Systems and Analytics from National University of Singapore. His research focuses on open innovation communities, open source software development, online crowdfunding, and economics of information systems. His work has appeared in leading journals including Information Systems Research and Entrepreneurship Theory and Practice.

Assistant Professor

STRATEGY, ENTREPRENEURSHIP, AND OPERATIONS

Huanan Zhang is an Assistant Professor in the SEO division. Before joining Leeds, he was an Assistant Professor in the Department of Industrial and Manufacturing Engineering at Penn State University. He received his Ph.D. in Industrial and Operation Engineering at the University of Michigan in 2017. Huanan’s research interests include the design of data-driven algorithms, approximation algorithms, and their applications in inventory and supply chain management, revenue management, and service operations. His research has been published in leading Operations Management journals like Management Science, Operations Research, Manufacturing & Service Operations Management, and Production & Operations Management. Huanan also serves as a senior editor for Production & Operations Management.

Associate Professor and Faculty Director of MS in Business Analytics

STRATEGY, ENTREPRENEURSHIP, AND OPERATIONS

Rui Zhang is an associate professor in the Strategy, Entrepreneurship, and Operations division at Leeds School of Business, 鶹Ƶ. He is the Faculty Director of the Master’s Program in Business Analytics. Before that, he served as the Director of the Ph.D. Program in Operations. Furthermore, he serves as Associate Editor for INFORMS Journal on Computing and Networks. His research interests are quantitative methods, especially prescriptive analytics techniques. His work focuses on revenue management problems, last-mile delivery, and influence maximization problems on social networks. His work has been published in Operations Research, Manufacturing & Service Operations Management, INFORMS Journal on Computing, INFORMS Journal on Optimization, Naval Research Logistics, European Journal of Operational Research, and Networks, among others. In addition, he has won several Best Paper awards. A collection of his work was selected as the runner-up for the 2022 INFORMS Computing Society (ICS) Prize.

Meet the Admissions Team at Leeds

Application Deadlines

Round 1: October 7, 2024

Round 2: December 2, 2024

Round 3: Febuary 3, 2025

Final International Deadline: February 5, 2025

Final Domestic Deadline: May 12, 2025