Program Overview
The STEM-MBA in management science is a graduate-level program engineered to equip learners with the technical, analytical, and quantitative competencies required to transform, model, visualize, and interpret complex data for practitioners in the decision making positions across industries.
Credits
54
Duration
18-24 Months
Format
Hybrid/Online
Location
Virginia
Program Goals & Objectives
The STEM program emphasizes experiential, application-driven learning that enables participants to generate measurable business value through the development of practical, technology-enabled solutions.
What you learn:
Students who graduate from the STEM MBA in MANAGEMENT SCIENCE program will be able to develop the following skills:
Technology-Integrated Business Leadership
Advanced Analytical & Data-Driven Decision-Making
Strategic Innovation & Digital Transformation
Ethical, Regulatory & Social Responsibility in Tech
Understanding of Emerging Technologies
Demonstrates awareness of evolving digital tools, automation, and innovation trends shaping modern industries.
Quantitative Analysis & Statistical Reasoning
Apply mathematical and statistical techniques to interpret data and support evidence-based conclusions.
Predictive Modeling & Forecasting
Utilize data science techniques to anticipate trends, optimize operations, and inform strategic planning.
Business Intelligence Tools (Dashboards, Reporting Systems)
Leverages modern analytics platforms to monitor performance, extract insights, and guide organizational decisions.
Data-driven Decision Making
Uses empirical evidence and analytics to inform operational and strategic choices.
Systems Thinking and Digital Transformation Strategies
Understands organizational processes holistically and contributes to technology-enabled transformation initiatives.
Problem-solving Using Analytical Frameworks
Applies structured methodologies to diagnose challenges and implement effective solutions.
Stakeholder Communication and Executive Reporting
Translates complex technical insights into clear, actionable information for leadership and cross-functional teams.
Agile and Collaborative Teamwork Methodologies
Works effectively in dynamic, cross-disciplinary teams using iterative and collaborative project approaches.
*All core courses and at least 2 concentration courses must be completed before taking the capstone
Industry Certifications
Our curriculum is strategically aligned with globally recognized certifications to ensure you graduate with a competitive edge in the job market.
Business Analyst
- Microsoft Power BI Data Analyst
- Tableau Desktop Specialist
- CompTIA Data+
- Google Data Analytics Certificate
- Certified Analytics Professional (CAP)
Financial Technology
- Microsoft Power BI Data Analyst
- Google Data Analytics Certificate
- AWS Data Engineer (Associate)
- Certified Analytics Professional (CAP)
Information Technology
- CompTIA Data+
- CompTIA Network+ or Security+
- Microsoft Azure Data or AI Certifications
- GIAC or other cybersecurity credentials
Outcomes & Careers
- Data Analyst
- Business Intelligence Analyst
- Computer Systems Analyst
- Business Analyst
- FinTech Product Analyst
- Financial Data Analyst
- Quantitative Analyst
- Cybersecurity Analyst
- Cloud Support Analyst
- System Analyst
Why WUST?
After Graduate
Graduates are prepared to enter data-driven, technology-focused roles across multiple industries with practical skills, recognized credentials, and leadership experience.
Learning Support
Get personalized assistance from a dedicated program lead faculty, programfaculty members and academic support through WUST Center of Students Services (CSS),Writing lab, and STEM Resource Center.
Weekly Commitment
Ensure students commit 8–10 hours per week per course, including live sessions, applied assignments, and collaborative work.
Create a compelling e-portfolio
Build an industry portfolio to showcase tools and technical skills proficiency.
Featured Professors
Learn directly from experienced faculty with industry-aligned expertise in Project Management, IT Busniess Analysis, AI and Data Science in Bunsiness.
Dr. Amalisha Sabie-Aridi
Professor of Project Management of Principles, Practices, & Methodologies (Core Course)
Dr. Scott Buchanan
Professor of Artificial Intelligence & Data Science for Business
WUST is certified to operate by SCHEV. Accredited by ACCSC.
This institution is approved to offer GI Bill® educational benefits by the Virginia State Approving Agency. “GI Bill® is a registered trademark of the U.S Department of Veterans Affairs (VA). More information about education benefits offered by VA is available at the official U.S. government Website at https://www.benefits.va.gov/gibill/"
.png)
