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.
An MEng:
- Does not require a thesis, unlike an MS.
- Prepares you for a career in industry (MS degrees are more research-focused).
- Can be completed in one year.
- Has coursework that 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. Courses used to satisfy the Core requirements cannot also be used to satisfy the Concentration requirements. The coursework requirements for the MEng degree are as follows:
- Core (two courses)
- Concentration (two 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 in advance by the Systems Engineering Graduate Committee
- 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 562 Computational Biology: Genomes, Networks, Evolution
- BE 567 Nonlinear Dynamics in Biological Systems
- BE 747 Adv. Signals and Systems Analysis for Biomedical Engineering
- BE 760 Structural Bioinformatics
- BE 767 Protein and Genomic Systems Engineering
- BE 777 Computational Genomics I
Control Systems
- SE/EC/ME 501 Dynamic Systems Theory
- ME/MS 507 Process Modeling and Control
- ME 560 Precision Machine Design and Instrumentation
- ME 570 Robot Motion Planning
- SE/EC/ME 701 Optimal and Robust Control
- EC 702 Recursive Estimation and Optimal Filtering
- SE/ME 704 Adaptive Control
- EC 708 Advanced Process Control
- SE/ME/EC 710 Dynamic Programming and Stochastic Control
- SE/EC/ME 733 Discrete Event and Hybrid Systems
- SE/ME/EC 734 Hybrid Systems
- SE/ME 740 Vision Robotics and Planning
- SE/ME 762 Nonlinear Systems and Control
Energy & Environmental Systems
- CAS EC 513 Game Theory
- ENG SE/EC/ME 543 Sustainable Power Systems
- ENG ME/MS 545 Electrochemistry of Fuel Cells and Batteries
- CAS EC 571 Energy & Environmental Economics
- CAS EC 572 Public Control of Business
- ENG EC/MS 573 Solar Energy Systems
- GRS GE 712 Regional Energy Modeling
- GRS EC 716 Game Theory
- GSM OM 845 Clean Technology Business Models
Financial Engineering
- CAS MA 577 Mathematics of Financial Derivatives
- GSM MF 793 Statistical Methods of Mathematical Finance
- GSM MF 794 Stochastic Optimal Control and Investment
- GSM MF 795 Stochastic Methods of Mathematical Finance II
- GSM MF 796 Computational Methods of Math’l Finance
- GSM FE 823 Investments
Network Systems
- EC 541 Computer Communication Networks
- SE/EC/ME 544 Networking the Physical World
- EC 715 Wireless Communications
- SE/EC/ME 725 Queuing Systems
- SE/EC 741 Randomized Network Algorithms
- EC 744 Mobile Networking and Computing
- SE/ME 755 Communication Networks Control
Operations Research
- ME/EC 514 Simulation
- SE/EC 524 Optimization Theory and Methods
- 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
Production & Service Systems
- ENG ME 510 Production Systems Analysis
- ENG SE/EC/ME 543 Sustainable Power Systems
- ENG SE/EC/ME 733 Discrete Event and Hybrid Systems
- ENG SE/ME 765 Production System Design
- ENG SE/ME 766 Advanced Scheduling Models and Methods
- GSM OM 726 Creating Value Through Operations and Technology
- GSM OM 854 Supply Chain Management
Suggested Electives
- CAS EC 513 Game Theory
- GRS EC 716 Game Theory
- CAS CS 511 Object-Oriented Software Principles
- GSM OM 855 Project Management
