Certificate of Graduate Study in Machine Learning

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The Certificate of Graduate Study (COGS) in Machine Learning is a program designed to provide a breadth and depth to students who want to specialize in one of the fastest growing fields of all sciences and engineering. The Machine Learning COGS will provide breadth and depth in theoretical foundations of machine learning, as well as a year-long practical hands-on real-world project experience. The completion of this COGS will provide students with the necessary tools to start a career in machine learning as it applies to engineering and/or continue their education through graduate programs.

Program Requirements

Required Courses: 6 s.h.

ECE 09555 - Machine Learning Credits: 3
ECE 09595 - Advanced Emerging Topics in Computational Intelligence, Machine Learning and Data Mining Credits: 1 to 3
ECE 09558 - Reinforcement Learning Credits: 3

Elective Courses: 6 s.h.

Choose 6 s.h.

ECE 09566 - Advanced Topics in Systems, Devices, and Algorithms in Bioinformatics Credits: 3
ECE 09595 - Advanced Emerging Topics in Computational Intelligence, Machine Learning and Data Mining Credits: 1 to 3 *
ECE 09558 - Reinforcement Learning Credits: 3
ECE 09655 - Advanced Computational Intelligence and Machine Learning Credits: 3
ENGR 01511 - Engineering Optimization Credits: 3
ENGR 01599 - Master’s Research and Thesis Credits: 1 to 9

Note:

* Course can be taken as an elective if not already taken as one of the required courses. Contact the program coordinator for additional details.

Total Required Credits: 12 s.h.

Foundation Courses

Please contact program coordinator for additional details.

Graduation/Exit, Benchmark, and Thesis Requirements

Complete the minimum 12 credits from the appropriate categories listed above.

Minimum Required Grades and Cumulative GPA

The COGS in Machine Learning is a Category 2 program.

For details regarding satisfactory academic progress and graduation requirements, please visit Academic Program Policy Categories

Program Coordinator/Advisor Contact Information
Jie Li, Ph.D.
Engineering Hall
856.256.5345
lijie@rowan.edu