Bioinformatics
The Bioinformatics Master of Science program at the University of North Carolina provides students with advanced knowledge in computational biology, data analysis, and biological research. The curriculum emphasizes the integration of biology, statistics, and computer science to interpret complex biological data and develop innovative solutions for research and healthcare applications. Students develop computational analysis, genomic data interpretation, statistical modeling and problem solving skills, preparing them to address challenges in genomics, proteomics, and systems biology.
Throughout the program, learners engage in research projects, programming assignments, and practical exercises that combine theoretical knowledge with real world biological applications. Faculty mentorship guides students in applying computational tools, analyzing large datasets, and conducting independent research. By combining biology, computer science, and statistical methods, students strengthen data analysis proficiency, research competence, computational skills and critical thinking abilities, ensuring they are well prepared for careers in bioinformatics, biotechnology, or further graduate study.
Key information
Key Facts
- Program Title: Bioinformatics
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 August 2026
- Location: University of North Carolina at Chapel Hill, United States
- Field of Study: Bioinformatics & Biostatistics
- Language of Instruction: English
Program Structure
Semester 1 Foundations in Bioinformatics
• Introduction to Bioinformatics
• Molecular Biology and Genetics
• Statistical Methods for Biological Data
• Computational Methods and Programming
Semester 2 Applied Bioinformatics and Research
• Genomics and Proteomics Analysis
• Systems Biology and Network Modeling
• Data Visualization and Interpretation
• Research Project in Bioinformatics
Career Opportunities
Graduates of this program are prepared for specialized roles that require expertise in computational biology, data analysis, and bioinformatics research. Many pursue careers in biotechnology companies, genomics research, pharmaceutical industry, and healthcare analytics, applying computational methods to solve biological problems. Others work in academic research, government labs, or bioinformatics consulting, analyzing complex datasets, developing algorithms, and contributing to scientific discovery. The programs emphasis on computational skills, statistical modeling, and applied research equips graduates to address cutting edge challenges in life sciences and biotechnology fields.
Why Choose This Program
This program is ideal for students who want to combine biology, computational science, and statistics to tackle complex problems in research and healthcare. Its curriculum emphasizes data analysis, computational modeling, and applied research, providing learners with the tools to interpret large biological datasets and develop innovative solutions. Faculty mentorship supports students in developing analytical reasoning, programming proficiency, research design, and problem solving capabilities. Through practical projects, research experiences, and applied coursework, learners strengthen computational expertise, bioinformatics and analytical skills, research informed problem solving and data interpretation abilities, preparing them for impactful careers in bioinformatics, biotechnology, and life sciences research.
Contact Information
Phone: +1 (919) 966-3621
Email: unchelp@admissions.unc.edu
Address: Jackson Hall, 174 Country Club Road, Chapel Hill, NC 27514, USA
