MSc in Computer Science - Data Science in Biomedicine in Denver United States | University of Colorado Denver

The biomedical data science specialization is available within the computer science Master of Science program for students pursuing Plan I - Thesis. Data science has become a vital tool for scientific advancement, with extensive and expanding applications across numerous fields such as healthcare informatics, precision medicine, business intelligence, smart transportation systems, and cybersecurity. This track focuses on applying data science techniques to biomedical challenges while teaching fundamental methodologies and technologies. Upon completion, graduates will receive formal recognition of their data science expertise within their degree, enhancing career prospects.
The University of Colorado Denver's MS in Computer Science offers cutting-edge research possibilities and professional growth across multiple interdisciplinary domains.
To earn the Master of Science in Computer Science, students must complete at least 30 graduate-level credit hours while maintaining a 3.0 GPA. The program offers three completion options. Those in the Biomedical Data Science track will undertake a minimum of 36 graduate credit hours.
As technology evolves and information-driven economies expand, computer science has transformed into a foundational discipline influencing engineering, sciences, business, healthcare, and public sectors. The field continues to drive groundbreaking innovations. The Computer Science and Engineering Department at CU Denver is dedicated to delivering exceptional education and research training to our diverse student body, preparing them for successful careers in industry, academia, and government throughout Colorado and nationwide. Our faculty excel in teaching, research, and service, covering both core computer science principles and interdisciplinary applications. We actively involve students in research both inside and outside the classroom, equipping them with the skills to address complex technological challenges facing today's society.