MS in Systems Engineering
Master of Science (MS) students must take 32 credits all of which must be at the 500 level or higher. The coursework requirements for the MS degree are as follows:
- Core (3 courses)
- Concentration (2 courses from one of the concentration areas in Systems Engineering), and Thesis or Graduate Project (at least 4 credits but no more than 8 credits of thesis or graduate project)
- MS 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 MS credit hours remain unstructured and can be chosen, with advisor approval, to meet an individual student’s academic needs.
MS 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 MS degrees.
Master of Science 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
- SE/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
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
