Data Science and Machine Learning for Biotechnology
Certificate
About this program
The Certificate in Data Science and Machine Learning for Biotechnology gives undergraduates a focused foundation in using data science and AI to solve biotech challenges. You take four courses (twelve units) in machine learning, personalized medicine, medical image analysis, and a biotech-focused seminar plus interview prep. You also develop strong skills in communicating science to diverse, multidisciplinary audiences. Some courses must be taken for a letter grade, and you need prerequisite preparation in biology and computing.
Program Curriculum and Requirements
Program Scope
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 for 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.
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.