Lund University

Overview

The Applied Computational Science, Biology (MSc) program at Lund University equips students with the skills to utilize computational methods for addressing complex biological questions. The curriculum emphasizes data analysis, modeling, and research design, fostering an environment centered on research and innovation.

What you'll study

This two-year, full-time program encompasses a range of advanced topics in computational biology. Students will engage in courses that cover:

• Core Computational Biology & Bioinformatics: Explore computational biology and bioinformatics techniques.
• Genomics and Proteomics: Analyze and interpret various biological data types.
• Systems Biology and Modelling: Model biological systems and interact with biological networks.
• Biological Data Analysis and Visualisation: Learn methods for analyzing and presenting scientific results.
• Machine Learning in Biology: Apply machine learning techniques to biological datasets.
• Research Methods in Computational Biology: Focus on study design, reproducibility, and research workflows.
• Seminar in Applied Computational Science, Biology: Engage in research communication and academic discussions.

Note: Course titles and sequencing may change; your final study plan will be confirmed upon enrollment.

Entry requirements

Applicants must hold a Bachelor’s degree (or equivalent) in biology, computational biology, bioinformatics, or a closely related field. A solid foundation in mathematics and programming applicable to computational biology is also required.

Career prospects

Graduates of the Applied Computational Science, Biology program are well-prepared for various career paths in academia, research institutions, and the biotechnology sector. Opportunities include roles in data analysis, bioinformatics, and systems biology, as well as positions that involve interdisciplinary collaboration in scientific research and development.