Certificate in Data Science and Machine Learning for Biotechnology
The interdisciplinary field of Data Science (DS) has emerged as one of the fastest growing fields of our times. One of the most impactful applications of Data Science has been for the field of biotechnology. Statistical modelling and Machine Learning (ML) is being increasingly used to investigate long standing problems in biotechnology and to develop solutions to some of the most critical challenges of our times.
The certificate program is designed to provide a strong foundation in theory, tools, and techniques of machine learning and data science for biotechnology. Students will learn and practice the skills involved in synthesizing machine learning and data science concepts around the big questions in biotechnology to solve real-life problems. Students will also gain experience in effective scientific communication skills that are needed to convey information to multidisciplinary audiences from different functional areas of the biotechnology field.
Admission to this undergraduate certificate program requires a grade of C or higher in BIOL 230 or BIOL 100 and a grade of C or higher in CSC 220 or CSC 311.
CSC 408, CSC 411, CSC 509, and CSC 511 have to be enrolled with letter grade grading option. Credit/No Credit (CR/NC) grading option is not acceptable for these courses for this program.
Program Learning Outcomes
-
Demonstrate proficiency in the fundamentals of data science and machine learning for biotechnology: theory, tools, and techniques.
-
Demonstrate ability to synthesize machine learning and data science concepts around the big questions in biotechnology to develop solutions to real-life problems.
-
Demonstrate effective scientific communication skills, verbal and written, to convey information to multidisciplinary audiences from different functional areas of the biotechnology field.
Certificate in Data Science and Machine Learning for Biotechnology – 12 units
CSC 408, CSC 411, CSC 509, and CSC 511 must be taken for a letter grade.
| Code | Title | Units |
|---|---|---|
| CSC 408 | Machine Learning and Data Science for Personalized Medicine | 3 |
| CSC 411 | Intermediate Machine Learning for Interdisciplinary Data Scientists | 3 |
| Select One: | 3 | |
| Data Science and Machine Learning for Medical Image Analysis | ||
| Protein Modeling with Deep Learning | ||
| CSC 601 | Data Science and Machine Learning for Biotechnology Seminar Series | 1 |
| CSC 602 | Interview Preparation for Data Science and Machine Learning for Biotechnology Opportunities | 2 |