The Ross STEM-Designated Specialization in Management Science is designed for any MBA student interested in pursuing a quantitative management and business analytics role — whether in supply chain, finance, technology, or as an entrepreneur.
Through a diverse set of courses spanning seven academic areas, the 14-credit Specialization in Management Science allows students to customize their study to their interests. Choose from a dynamic course selection focusing on topics like The Psychology of Start-Ups, Competitive Tactics & Policy, Valuation, Artificial Intelligence for Business, and Marketing Engineering and Analytics.
Students can complement their required general management coursework with 14 credit hours of approved courses for the STEM-Designated Specialization. Note that a minimum of 10 credit hours must be fulfilled by successfully completing Foundational Courses.
Resource Costing Systems: A P&L view - ACC 650 (1.5 credits)
Financial Statement Analysis I - ACC 711 (2.25 credits)
Financial Statement Analysis II - ACC 713 (2.25 credits)
Economic Decisions and Games - BE 582 (1.5 credits)
Valuation - FIN 615 (2.25 credits)
Advanced Valuation - FIN 645 (2.25 credits)
Marketing Research Design and Analysis - MKT 618 (2.25 credits)
Customer Analytics - MKT 626 (2.25 credits)
Marketing Engineering and Analytics - MKT 630 (2.25 credits)
Equity Analytics - Strategy 615 (2.25 credits)
Linear Programing - TO 518 (3.0 credits)
Empowering Business Decision Making with Generative AI - TO 538
Sustainable Operations and Supply Chain Management - TO 560/EAS 595 (2.25 credits)
Applied Regression and Data Analysis - TO 566 (1.5 credits)
Data Mining and Applied Multivariate Analysis - TO 567 (1.5 credits)
Applied Business Forecasting I - TO 572 (1.5 credits)
Action Learning Projects in Operations, Procurement, and Supply Chain - TO 582 (7.5 credits)
Applied Business Analytics and Decisions - TO 618 (3.0 credits)
Global Supply Chain Management - TO 620 (2.25 credits)
Logistics - TO 621 (2.25 credits)
Information Technology for Supply Chain - TO 623 (1.5 credits)
Strategic Sourcing - TO 624 (2.25 credits)
Advanced Big Data Analytics - TO 628 (2.25 credits)
Artificial Intelligence for Business - TO 633 (2.25 credits)
Behavioral Economics and Behavioral Operations Management - TO 635/BE 635 (2.25 credits)
Big Data Management: Tools and Techniques - TO 640 (2.25 credits)
Revenue Management - TO 649 (2.25 credits)
Topics in Global Operations - TO 701 (1.5 credits)
Optimization Modeling in Health Care - IOE 413 (3.0 credits)
Queueing Systems - IOE 416 (2.0 credits)
Facility Planning - IOE 447/ MFG 447 (3.0 credits)
Quality Engineering Principles and Analysis - IOE 461/MFG 461 (3.0 credits)
Statistical Quality Control - IOE 466 (3.0)
Scheduling - IOE 543/MFG 543 (3.0 credits)
Introduction to Systems Engineering - ISD 520 (3.0 credits)
Statistical Quality Control and Design - MECHENG 401 / MFG 402 (3.0 credits)
Analytical Product Design - MECHENG 455 (3.0-4.0 credits)
Discrete Design Optimization - MECHENG 558 / MFG 558 (3.0 credits)
Global Manufacturing - MECHENG 587 (3.0 credits)
Special Topics in Mechanical Engineering Engineering - MECHENG 599 (3.0-4.0 credits)
Applied Econometrics - PubPol 571 (3.0 credits)
Industrial Ecology - EAS 557/CEE 586 (3.0 credits)
Sustainable Energy Systems - EAS 574/RCNSCI 419/PUBPOL 519 (3.0 credits)
Renewable Electricity & the Grid - EAS 615 (3.0 credits)
Programming I - SI 506 (3.0 credits)
Intermediate Programming - SI 507 (3.0 credits)
Consumer Health Informatics - SI 554 (3.0 credits)
Networks - SI 608 (3.0 credits)
Evaluation and Research Methods for Health Informatics and Learning Systems - HMP 648/SI 648/LHS 660 (3.0 credits)
Information Visualization - SI 649 (3.0 credits)
Information Retrieval - SI 650 (3.0 credits)
Data Mining: Methods and Applications - SI 671 (3.0 credits)
A Brief Introduction to Computing Technologies: Crypto, Al, Quantum - ACC 651 (0.5 credits)
Competitive Tactics and Policy - BE 580 (2.25 credits)
Incentives and Productivity - BE 619/MO619 (2.25 credits)
Intellectual Property Law - BL 509 (2.25 credits)
Financial Derivatives in Corporate Finance: Managing Risk and Creating Value - FIN 580 (2.25 credits)
Fixed Income and Securities Markets - FIN 609 (2.25 credits)
Currency Markets - FIN 612 (2.25 credits)
Global Capital Markets - FIN 614 (2.25 credits)
Corporate Financial Policy - FIN 621 (2.25 credits)
Venture Capital Finance - FIN 623 (2.25 credits)
Private Equity Finance - FIN 624 (2.25 credits)
Strategic Market Planning - MKT 601 (2.25 credits)
Pricing Analytics and Strategy - MKT 608 (3.0 credits)
New Product and Innovation Management - MKT 625 (2.25 credits)
Digital Marketing: Applications and Analytics - MKT 642 (2.25 credits)
New Age of Innovation - TO 630/STRATEGY 630 (2.25 credits)
FinTech: Blockchain, Cryptocurrencies, and Other Technology Innovations - TO 638 (3.0 credits)
Lean Manufacturing and Services Strategies - IOE 425/MFG 426 (2.0 credits)
Financial Modeling - FIN 575 (1.5 credits)
Decision Support with Spreadsheets - TO 512 (1.5 credits)
Spreadsheet Modeling and Applications - TO 513
Business Application Development with Visual Basic for Excel - TO 515 (2.25 credits)
Project Management - TO 616 (1.5 credits)
No. The 57-credit hour requirement to graduate remains for all students, including those completing the Specialization in Management Science.
No. Because total required credit hours remain the same, tuition is not affected.
Students who successfully complete the Specialization in Management Science and meet employment requirements may be eligible for the 24-month STEM OPT extension.
The courses that qualify for this specialization in management science are listed here. The curriculum is reviewed every 3 years.
Students can begin taking courses in the first year of their MBA; however, the Specialization in Management Science is not officially reflected on your transcript until the start of your second year.
Yes, as long as you successfully complete the requirements for the MBA, you will still be able to earn an MBA without the Specialization in Management Science.
Students will have the opportunity to opt-in and out one time. Once you opt out you will not be able to opt back in.
Contact an academic advisor at [email protected].
