This page describes the curriculum requirements for the Undergraduate Certificate in Systems Engineering (UCSE). The director of the Master of Science in Systems Engineering (MSSE) is also the Director of the UCSE. The Director must approve any course substitutions. At most 9 credits can be transferred from another institution.
Admission Requirements
- Students can pursue the UCSE if they receive a grade of B or better in the classes used to satisfy the Preliminary Knowledge requirements for Math, Probability/Statistics, and Computer Programming/Numerical Methods.
Graduation Requirements
- To obtain the certificate, students must complete at least 21 credit hours of course work. The coursework is made up of 9 hours of preliminary knowledge, 6 hours of core classes, 3 hours of Systems Engineering electives, and 3 hours of electives in topics that are closely related to Systems Engineering.
- Students must complete the core classes at the U of U. At most 9 hours of transfer credits may be applied to the certificate.
- Many of the courses listed in the curriculum are 5000-level but have a corresponding 6000-level course. A student may use the 6000-level version of the course to fulfill the corresponding 5000 level requirement.
- A grade of B- or better must be earned in all courses applied to the certificate.
- All core and Systems Engineering electives must have a grade of B or better, which may result in the student retaking courses.
- In the semester in which one intends to be awarded the UCSE, the student fills out the following form.
Apply for the Awarding of the Undergraduate Certificate in Systems Engineering
Course Requirements
Due to the growth of Systems, Industrial and Management Engineering, the U awarded a new SIME prefix. The SIME courses are identical to the previous ME EN courses and the schedule lists both courses. Either the SIME or ME EN course can fulfill the certificate’s requirements.
21 Total Credits
Complete at least 9 hours of Preliminary Knowledge
Earn at least 3 calculus credit hours from the following:
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- MATH1210 – Calculus I (4)
- MATH1220 – Calculus II (4)
- MATH1250 – Calculus for AP Students I (4)
- MATH1260 – Calculus for AP Students II (4)
- MATH1310 – Engineering Calculus I (4)
- MATH1311 – Accelerated Engineering Calculus I (4)
- MATH1320 – Engineering Calculus II (4)
- MATH1321 – Accelerated Engineering Calculus II (4)
- MATH2210 – Calculus III (3)
- A student may seek approval for an alternate trigonometry-based calculus course from the director.
Earn at least 3 probability/statistics credit hours from the following:
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- CVEEN2310 – Probability & Statistics (3)
- CH EN2550 – Statistics for Chemical Engineers (3)
- ME EN2550 – Applied Probability and Statistics for Engineers (3)
- BME3070 – Applied Math and Statistics for Biomedical Engineers (3)
- MATH3070 – Applied Statistics I (4)
- MET E3070 – Statistical Methods in Earth Sciences and Engineering (3)
- CS3130 – Engineering Probability and Statistics (3)
- OSC3440 – Applications of Business Statistics (3)
- ECE3530 – Engineering Probability and Statistics (3)
- A student may seek approval for an probability/statistics course from the director.
Earn at least 3 computer programming/ numerical methods credit hours from the following:
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- BME3301 – Computation Methods for Bioengineers (3)
- CH EN2450 – Process Modeling and Numerical Methods in Chemical Engineering (3)
- COMP1010 – Programming for All 1: Beginning Programming (3)
- COMP1020 – Programming for All 2: Extended Applications (3)
- CS1400 – Introduction to Computer Programming (4)
- CS1410 – Introduction to Object-Oriented Programming (4)
- CS1420 – Accelerated Introduction to Object-Oriented Programming (4)
- ME EN2450 – Numerical Methods for Engineering Systems (3)
- MSE2001 – Programming for Materials Science & Engineering (3)
- IS4485 – Programming with Python (3)
- FINAN5530 – Python for Quantitative Finance (3)
- A student may seek approval for an alternate computer programming/numerical methods course from the director.
Complete 6 hours of systems core courses:
Complete 3 hours of systems electives:
Complete 3 credits from the following systems related courses:
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- Any additional systems elective course
- BME3801 – bioDesign I (3)
- BME4101 – Biosystems Analysis and Modeling (4)
- CH EN4253 – Process Design (3)
- CH EN5253 – Process Design II (3)
- COMP5360 – Introduction to Data Science (3)
- CS3190 – Foundations of Data Analysis (3)
- CS5530 – Database Systems (3)
- CVEEN5720 – Project Scheduling (3)
- CVEEN5730 – Project Management and Contract Administration (3)
- ECE5615 – Classical Control Systems (3)
- ECE3610 – Fundamentals of Robotics and Cyberphysical Systems (3)
- ECE5680 – Electrical Forensic Engineering and Failure (3)
- ENGIN5020 – Emerging Technologies and Engineering Entrepreneurship (3)
- ENTP5000 – Building Effective Startups (3)
- IS4487 – Introduction to Business Analytics (3)
- MATH3080 – Applied Statistics II (3)
- MATH4100 – Introduction to Data Science (3)
- MATH5740 – Mathematical Modeling (3)
- MATH5770 – Introduction to Optimization (3)
- ME EN5010 – Principles of Manufacturing Processes (3)
- ME EN5030 – Reliability Engineering (3)
- ME EN5035 – Design of Experiments (3)
- ME EN5040 – Quality Assurance Engineering (3)
- ME EN5100 – Ergonomics (3)
- ME EN5130 – Design Implications for Human-Machine Systems (3)
- ME EN5150 – Introduction to Product Safety and Engineering Ethics (3)
- ME EN5205 – System Dynamics (3)
- MET E5690 – Process Statistics and Experiment Design (3)
- MG EN5110 – Operations Research (2)
- MG EN5360 – Risk Management (2)
- MG EN5370 – Data Management for Engineering & Heavy Industry (2)
- MG EN5530 – Computational Intelligence (2)
- OSC5610 – Practical Management Science (3)
- SIME 5050 – ME EN5184 – Operations Research for Systems (3)
- SIME 5000 – ME EN5185 – Analytics for Systems Management (3)
- SIME 5560 – ME EN5186 – Engineering Economic Analysis (3)