Data Mining & Machine Learning Certificate (CSE)
The Certificate in Data Mining and Machine Learning can be awarded in conjunction with any engineering master's degree. To qualify for this certificate, students enrolled in any master's program within the McKelvey School of Engineering will need to meet the requirements listed below in addition to the standard requirements for their master's degree.
Required Courses
Code | Title | Units |
---|---|---|
CSE 4107 Introduction to Machine Learning or ESE 4170 Introduction to Machine Learning and Pattern Classification | 3 | |
CSE 5107 | Machine Learning | 3 |
CSE 5401 | Advanced Algorithms | 3 |
Total Units | 9 |
Foundations Courses
Choose two courses:
Code | Title | Units |
---|---|---|
CSE 4102 | Introduction to Artificial Intelligence | 3 |
CSE 5103 | Theory of Artificial Intelligence and Machine Learning | 3 |
CSE 5104 | Data Mining | 3 |
CSE 5105 | Bayesian Methods in Machine Learning | 3 |
CSE 5109 | Advanced Machine Learning | 3 |
CSE 5403 | Algorithms for Nonlinear Optimization | 3 |
ESE 4150 | Optimization | 3 |
SDS 4010 Probability or ESE 5200 Probability and Stochastic Processes | 3 | |
SDS 4020 | Mathematical Statistics | 3 |
CSE 5610 | Large Language Models | 3 |
Domain Courses
Choose one course:
Code | Title | Units |
---|---|---|
CSE 4207 | Cloud Computing With Big Data Applications | 3 |
CSE 5108 | Human-In-The-Loop Computation | 3 |
CSE 5270 | Natural Language Processing | 3 |
ESE 5130 | Large-Scale Optimization for Data Science | 3 |
CSE 5507 | Advanced Visualization | 3 |
CSE 5509 | Computer Vision | 3 |
CSE 5804 | Algorithms for Biosequence Comparison | 3 |
CSE 5807 | Algorithms for Computational Biology | 3 |
CSE 5310 | AI for Health | 3 |
CSE 5370 | Trustworthy Autonomy | 3 |
CSE 5505 | Adversarial AI | 3 |
Additional Information
- All courses must be taken for a grade.
- Courses must be graded at a D- or better in order to count toward the certificate.
- Students with previous courses in machine learning may place out of CSE 4107. These students will be required to complete an additional foundations course for a total of three foundations courses.