Girard School of Business

Curriculum

Degree requirements you can put into practice.

Featuring a combination of dynamic coursework and applied experience, our curriculum will provide you with the ideal mix of technical skills and business insights for your career in engineering management.

Led by faculty with both deep theoretical understanding and practical knowledge, courses feature interactive lectures and group projects to help you build a deeper understanding of business theory and engineering practices.

The Master of Science in Engineering Management degree requires a minimum of 33 credits of course work:

  • 12 credits in the General Business Core
  • 13 credits in the Engineering Management Core
  • 8 credits in electives within the concentration of your choice - Project Management or Construction Management

General Business – Core Courses

  • Effective Managerial Communications (2 credits)
  • Leading Effective Teams (2 credits)
  • International Supply Chain Management (4 credits)
  • Foundations of Accounting (4 credits)
  • Introduction to Marketing (2 credits)
  • Leading Creativity and Innovation (2 credits)

Engineering Management – Core Courses

  • Engineering Project Management (4 credits)
  • Optimization (4 credits)
  • Decision Analysis (4 credits)
  • Statistical Analysis (4 credits)
  • Foundations of Data Management (4 credits)
  • Internship (4 credits)
  • Legal and Contracts (4 credits)
  • Introduction to Smart Systems (4 credits)
  • Reliability Analysis and Risk Assessment (4 credits)
  • Professionalism Seminar (REQUIRED - 1 credit)

Construction Management Concentration – Elective Courses

  • Construction Planning and Management (REQUIRED - 4 credits)
  • Sustainable Infrastructure Systems (4 credits)
  • Geographic Information Systems (2 credits)
  • Building Information Modeling (2 credits)
  • Construction Engineering - Equipment, Methods, Quality and Safety (4 credits)
  • LEED Certification (2 credits)
  • Envision Certification (2 credits)

Project Management Concentration – Elective Courses

  • Data Mining (4 credits)
  • Energy System (4 credits)
  • Introduction to Systems Engineering (4 credits)
  • Machine Learning (4 credits)
  • Logistics and Operations Scheduling (4 credits)

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