MEng in Systems Engineering
The Master of Engineering (MEng) degree in Systems Engineering is a professional master’s program for students seeking to further their careers in industry. MEng programs are suited for:
- Graduating senior students who want a one-year master’s in engineering before they look for industrial jobs.
- Mid-career professionals who want to switch careers and would like to complete a one-year master’s degree between jobs.
- Industry professionals who want exposure to engineering and management to further their careers.
Why get an MEng?
- Unlike an MS, you have no thesis.
- Prepares you for a career in industry (MS degrees are more research-focused).
- Gives you an advantage as the number of engineering manager jobs is predicted to grow in the coming years.
- Allows you to earn an average of $400,000 more over your career path compared to a bachelor’s degree alone.
- Can be completed in one year.
- Coursework includes an emphasis on technology leadership skills and management in the global workplace, as well as advanced technical training.
The MEng degree will complement existing programs by responding to the growing demand for professionals who can apply advanced graduate education to their work. Courses will prepare students for everything from entrepreneurship to project management.
MEng students must take 32 credits all of which must be at the 500 level or higher and 16 credits of which must be structured courses. The coursework requirements for the MEng degree are as follows:
- Core (2 courses)
- Concentration (2 courses from one of the concentration areas in Systems Engineering)
- MEng students must also satisfy the advanced technical course requirement by taking at least two 700 or higher level courses from the Systems Engineering concentration areas, or courses approved by the Systems Engineering Graduate Committee in advance
- The remaining required MEng credit hours remain unstructured and can be chosen, with advisor approval, to meet an individual student’s academic needs.
The choice of courses must form a coherent and balanced program in Systems Engineering. MEng students should make their course selection in consultation with their faculty advisor.
Students must maintain a cumulative GPA of 3.00 to remain in good academic standing and to graduate. All graduate courses are counted in the GPA. Grades of “C–” or lower are not acceptable for the MEng degrees.
Master of Engineering Structured Course Requirements
Core
- SE/EC/ME 501 Dynamic Systems Theory, or SE/EC/ME 710 Dynamic Programming and Stochastic Control
- SE/EC 524 Optimization Theory and Methods
- SE/ME 714 Advanced Stochastic Modeling and Simulation, or EC 505 Stochastic Processes, or EK 500 Probability with Statistical Applications
Concentration
Computational & Systems Biology
- BE 505 Molecular Bioengineering I
- BE 561 DNA and Protein Sequence Analysis
- BE 563 Cellular and Molecular Systems Analysis
- BE 567 Nonlinear Dynamics in Biological Systems
- BE 571 Dynamics and Evolution of Biological Networks
- BE 760 Structural Bioinformatics
- BE 777 Computational Genomics I
Control Systems
- ME/MS 507 Process Modeling and Control
- ME 570 Robot Motion Planning
- ME 762 Nonlinear Systems and Control
- EC 702 Recursive Estimation and Optimal Filtering
- SE/ME 704 Adaptive Control
- SE/EC/ME 733 Discrete Event and Hybrid Systems
- SE 734 Hybrid Systems
- SE/ME 740 Vision Robotics and Planning
- SE/ME 762 Nonlinear Systems and Control
Network Systems
- EC 541 Computer Communication Networks
- SE/EC/ME 544 Networking the Physical World
- EC 715 Wireless Communications
- SE/EC 741 Randomized Network Algorithms
- SE/ME 755 Communication Networks Control
- EC 744 Mobile Networking and Computing
- SE/EC/ME 725 Queuing Systems
Financial Engineering
- MF 572 Introduction to Mathematical Finance
- MA 577 Mathematics of Financial Derivatives
- MF 572 Introduction to Mathematical Finance
- MF 795 Stochastic Methods of Mathematical Finance
- MF 796 Computational Methods of Mathematical Finance
- FE 823 Investments
Production & Service Systems
- ME 510 Production Systems Analysis
- SE/EC/ME 543 Sustainable Power Systems
- SE/EC/ME 733 Discrete Event and Hybrid Systems
- SE/ME 765 Production System Design
- SE/ME 766 Advanced Scheduling Models and Methods
- OM 726 Creating Value Through Operations and Technology
- OM 854 Supply Chain Management
Operations Research
- ME/EC 514 Simulation
- SE/EC/ME 710 Dynamic Programming and Stochastic Control
- SE/ME 714 Advanced Stochastic Modeling and Simulation
- SE/EC/ME 724 Advanced Optimization Theory and Methods
- SE/EC/ME 725 Queuing Systems
- SE/EC/ME 732 Combinatorial Optimization and Graph Algorithms
- SE/EC/ME 733 Discrete Event and Hybrid Systems
- SE/ME 766 Advanced Scheduling Models and Methods
Energy & Environmental Systems
- CAS EC 513 Game Theory
- SE/EC/ME 543 Sustainable Power Systems
- ME/MS 545 Electrochemistry of Fuel Cells and Batteries
- CAS EC 571 Energy and Environmental Economics
- CAS EC 572 Public Control of Business
- EC/MS 573 Solar Energy Systems
- GRS GE 712 Regional Energy Modeling
- GRS EC 716 Game Theory
- OM 845 Clean Technology Business Models
Suggested Electives
- CAS EC 513 Game Theory
- GRS EC 716 Game Theory
- CAS CS 511 Object-Oriented Software Principles
- GSM OM 855 Project Management
