Computer Science, Bioinformatics
The Bachelor of Science in Computer Science, Bioinformatics at the University of North Carolina provides a rigorous four year program designed for students interested in combining computational skills with biological research. The curriculum focuses on the development of strong technical expertise in programming, data analysis, algorithm design, and biological computation, preparing students to handle large scale biological datasets and solve complex problems at the intersection of computer science and life sciences. Students gain hands on experience in coding, statistical modeling, and computational biology techniques while exploring applications such as genomics, proteomics, and systems biology. This interdisciplinary approach equips learners with the skills necessary to contribute to both research and industry driven projects in a rapidly evolving field.
Throughout the program, students engage in project based courses, laboratory research, and collaborative problem solving exercises that integrate theoretical knowledge with practical application. They develop a deep understanding of bioinformatics pipelines, data structures, and software tools while learning to design algorithms tailored for biological datasets. The curriculum emphasizes research methods, computational modeling, problem solving, and practical application, ensuring graduates are well prepared for advanced studies, professional work, or innovation driven roles in biotech, pharmaceuticals, or healthcare. By blending computational proficiency with biological insight, the program nurtures graduates capable of addressing real world scientific challenges with precision and creativity.
Key information
Key Facts
- Program Title: Computer Science, Bioinformatics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: University of North Carolina at Chapel Hill, United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Computer Science and Biology
• Introduction to Computer Science
• Programming Fundamentals
• General Biology I & Lab
• Discrete Mathematics
Year 2 - Developing Computational and Biological Skills
• Data Structures and Algorithms
• Genetics and Molecular Biology
• Statistical Methods for Bioinformatics
• Database Systems and Management
Year 3 - Advanced Computational Biology
• Computational Genomics
• Proteomics and Systems Biology
• Bioinformatics Algorithms and Applications
• Software Development for Biological Data
Year 4 - Capstone and Professional Integration
• Bioinformatics Research Project
• Advanced Topics in Computational Biology
• Data Analysis and Visualization
• Seminar in Emerging Bioinformatics Technologies
Career Opportunities
Graduates of this program are prepared for careers that combine computational expertise with biological knowledge. They may work as bioinformaticians, computational biologists, data analysts, or software developers in biotechnology companies, pharmaceutical research, healthcare organizations, or academic laboratories. The program also supports roles in genomic research, systems biology projects, biomedical data analysis, and other interdisciplinary scientific applications. Students are equipped to pursue graduate studies in bioinformatics, computer science, computational biology, or related fields, while also being prepared to contribute immediately to research teams, industry initiatives, and innovative technology solutions in life sciences.
Why Choose This Program
This program is ideal for students seeking a curriculum that blends advanced computational training with practical applications in the biological sciences. Learners gain hands on experience in programming, algorithm design, and data analysis, while also exploring critical concepts in genetics, molecular biology, and systems biology. The program emphasizes interdisciplinary collaboration, research oriented learning, and problem solving that mirrors real world scientific challenges. With access to modern laboratories, faculty mentorship, and opportunities for independent projects, students develop both the technical expertise and scientific insight needed to excel in a rapidly growing and highly innovative field.
Contact Information
Phone: +1 (919) 966-3621
Email: unchelp@admissions.unc.edu
Address: Jackson Hall, 174 Country Club Road, Chapel Hill, NC 27514, USA
