MSC Statistics for Computational Biology

The MSc Statistics for Computational Biology at Aberystwyth University provides a practice-based approach to learning, ensuring students acquire hands-on analytical skills and expertise with real biological data. Through collaboration between Computer Science, Mathematics, and Biological Sciences departments, students benefit from state-of-the-art computational facilities, specialist software, and access to vibrant research-led teaching environments.

Students develop practical skills through dedicated modules and immersive research projects, supported by modern facilities and extensive resources:

• Access to high-performance computing laboratories and specialist software, including R and Python, for statistical computing, bioinformatics, and data visualization.

• Research-led teaching in modules such as Statistical Concepts, Methods and Tools, Machine Learning, Programming for Scientists, and Advanced Concepts in Biology, designed to foster critical, practice-oriented analysis.

• Dissertation and group projects involving real-world biological datasets, with mentoring from expert faculty and opportunities to collaborate across departments.

• Collaboration with the Institute of Biological Environmental and Rural Science, offering access to interdisciplinary seminars, collaborative research centers, and industry-linked projects.

• Use of Aberystwyth University’s extensive digital library collections and online resources for biology, mathematics, computer science, and statistical research.

• Active engagement in external partnerships, biomedical company collaborations, and governmental research initiatives, opening pathways to internships and field visits when available.

This rich experiential learning environment ensures that graduates are ready to tackle complex statistical problems in computational biology and excel in careers across academia, industry, and research.

Graduates of the MSc Statistics for Computational Biology at Aberystwyth University are well-equipped for careers as research scientists, bioinformatics analysts, healthcare data specialists, and policy advisors. This interdisciplinary program develops high-demand skills in statistical analysis, computational biology, and biological data interpretation essential for the pharmaceutical, agriculture, and public health sectors.

Specifically:

• Aberystwyth’s dedicated Careers Service provides tailored guidance including CV workshops, interview preparation, internship placements, and networking opportunities with industry and research partners.

• Graduates from the program benefit from 95% of Aberystwyth’s research being internationally recognized or higher, reflecting strong graduate employability in data-driven biological sciences.

• The program is closely linked with the Institute of Biological Environmental and Rural Science and other research centers, offering pathways to internships and collaborative projects.

• The degree is jointly delivered by Mathematics, Computer Science, and Biological Sciences departments, ensuring broad academic and professional alignment.

• Alumni pursue roles in research institutes, healthcare organizations, government agencies, and biotech companies, enabled by comprehensive training in statistics and computational methods.

Further Academic Progression:
Graduates may continue their studies through PhD research at Aberystwyth or other leading institutions, specializing in computational biology, bioinformatics, or statistical genetics, supported by access to vibrant research groups and interdisciplinary collaborations.