Program Overview

Undergraduate Certificate in Systems Engineering

The Undergraduate Certificate in Systems Engineering (UCSE) is a program designed to provide students with a comprehensive understanding of systems engineering principles and practices. The director of the Master of Science in Systems Engineering (MSSE) also serves as the Director of the UCSE, and any course substitutions must be approved by the Director.

Admission Requirements

To pursue the UCSE, students must 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 coursework, consisting of:

• 9 hours of preliminary knowledge
• 6 hours of core classes
• 3 hours of Systems Engineering electives
• 3 hours of electives in topics closely related to Systems Engineering

Students must complete the core classes at the University of Utah, and at most 9 hours of transfer credits may be applied to the certificate. Many courses listed in the curriculum have corresponding 6000-level versions, which can be used to fulfill the requirements. A grade of B- or better must be earned in all courses applied to the certificate, and all core and Systems Engineering electives must have a grade of B or better.

Course Requirements

The UCSE requires the completion of 21 total credits, including:

• At least 9 hours of Preliminary Knowledge
• At least 3 calculus credit hours from the following:
  • 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)
• At least 3 probability/statistics credit hours from the following:
  • 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)
• At least 3 computer programming
  umerical methods credit hours from the following:
  • 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)
• 6 hours of systems core courses:
  • SIME 5400 – ME EN5160 – Fundamentals of Systems Engineering​ (3)
  • SIME 5410 – ME EN5170 – Systems Engineering and Integration (3)
• 3 hours of systems electives:
  • SIME 5460 – ME EN5166 – Model‐Based Systems Engineering (3)
  • SIME 5450 – ME EN5182 – Design of Production and Service Systems (3)
  • SIME 5060 – ME EN5183 – Discrete Event Systems Simulation (3)
  • MG EN5520 – Discrete Event Systems Simulation (3)
• 3 credits from the following systems-related courses:
  • 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)