Certificate in Data Science and Machine Learning for Biotechnology Professionals
The fields of Data Science and Machine Learning (ML) are being increasingly leveraged to investigate long standing problems in biotechnology and to develop solutions to some of the most critical challenges of our times. Individuals with these interdisciplinary skillsets are in high-demand. Through this certificate, individuals can reskill themselves to obtain specialized training in these high-demand fields and find a path to meaningful and well-paying careers.
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.
This certificate is designed for individuals with no prior background in computing or data science. The curriculum is developed in close collaboration with biotechnology industry practitioners to align it well with the technical needs of the biotech/pharmaceutical industries. The program is also designed to accommodate professionals in various work-life situations so as to broaden the participation of individuals from diverse socioeconomic backgrounds in this fast-growing field.
Admissions Requirements
To be eligible for admission a student must:
- Have a high school diploma or equivalent.
- Be a resident of California or another authorized state. See State Authorization.
Students will apply using a Qualtrics form and will be accepted on a first come, first served basis. No supplemental materials will be required.
Certificate in Data Science and Machine Learning for Biotechnology Professionals - 15 units
Required Courses (15 units)
| Code | Title | Units |
|---|---|---|
| CSC 306 | An Interdisciplinary Approach to Computer Programming | 3 |
| CSC 311 | Data Structures for Data Science Application Development | 3 |
| CSC 408 | Machine Learning and Data Science for Personalized Medicine | 3 |
| CSC 411 | Intermediate Machine Learning for Interdisciplinary Data Scientists | 3 |
| CSC 509 | Data Science and Machine Learning for Medical Image Analysis | 3 |