University of Southampton

Overview

The Big Data Biology (MRes) program at the University of Southampton equips students with the skills necessary to analyze extensive biological and biomedical datasets through state-of-the-art computational techniques. This course emphasizes the development of research-oriented skills in bioinformatics, data analysis, and critical interpretation of scientific results.

• Award: MRes (Master of Research)
• Duration: Typically 12 months
• Credits: Programme credit requirements apply
• Delivery: On-campus
• Mode: Full-time
• Language of instruction: English

What you'll study

The MRes program is designed around a combination of taught modules that establish a strong foundation in both computational and biological disciplines, followed by a research component that allows students to apply these methodologies to real biological questions.

Indicative taught modules may include:

• Bioinformatics and Systems Biology
• Genomic Technologies and Basic Informatics
• Machine Learning
• Cancer Chromosome Biology
• Cellular and Molecular Neuroscience
• Molecular Cell Biology
• Molecular Recognition
• Plant Cell Biology

Research component (MRes)

As part of the MRes program, students will engage in a research-focused project that applies the methods and concepts learned in the taught modules to a specific biological research question. The format, supervision arrangements, and assessment details can be found on the program's official website.

Teaching and assessment

Evaluation methods typically include a mix of coursework, practical tasks related to data analysis, and written assignments that assess both technical proficiency and scientific communication skills.

Entry requirements

To be considered for the Big Data Biology (MRes) program, candidates are generally expected to hold an Upper Second Class degree or its equivalent in a relevant field.

Career prospects

Graduates of the Big Data Biology program will be well-prepared for careers in various sectors, including academia, biotechnology, pharmaceuticals, and healthcare. With the increasing demand for data-driven solutions in biology and medicine, this program provides a strong foundation for a successful career in research and industry.