Master of Data Science (Bioinformatics and Biological Modelling) Durham University

Overview

The Master of Data Science (Bioinformatics and Biological Modelling) at Durham University is a one-year, full-time postgraduate degree that combines advanced data science techniques with specialised training in bioinformatics and biological modelling, giving you the skills to work with complex biological data and computational models. This pathway is part of the wider Master of Data Science suite and is aimed at those who want to apply statistical analysis, machine learning, programming and modelling to problems in molecular biology, genomics, systems biology and related life sciences.

Why Master of Data Science (Bioinformatics and Biological Modelling) at Durham University?

Durham University is renowned for its academic excellence and innovative research. The Master of Data Science (Bioinformatics and Biological Modelling) programme stands out due to its interdisciplinary approach, combining data science with life sciences. This unique blend prepares students for impactful careers in various sectors, including biomedical research and healthcare analytics. The university's strong partnerships and state-of-the-art facilities further enhance the learning experience, ensuring that students are well-equipped to meet the demands of the evolving job market.

Tuition Fee Breakdown

- National students: £14,500 per year - International students: £34,000 per year Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to provide a comprehensive understanding of data science in relation to biological applications. The course includes core modules such as:

• Data Science Research Project
• Critical Perspectives in Data Science and AI
• Bioinformatics
• Programming for Data Science
• Ethics of Artificial Intelligence and Data Science
• Introduction to Statistics for Data Science

Additionally, students can choose from optional modules that may include:

• Modelling in Molecular Biology
• Strategic Leadership
• Text Mining and Language Analytics
• Data Exploration, Visualisation and Unsupervised Learning

Industry Demand

The demand for skilled data scientists is rapidly increasing across various industries, including healthcare, environmental science, and biotechnology. Graduates of this programme will be well-prepared to tackle complex biological questions using advanced data science techniques, making them highly sought after in the job market.

Guaranteed Work Experience

This programme does not explicitly state guaranteed work experience; however, it provides extensive training and practical projects that simulate real-world applications of data science.

Careers with Master of Data Science (Bioinformatics and Biological Modelling)

Graduates of the Master of Data Science (Bioinformatics and Biological Modelling) are well-equipped for diverse career paths. Alumni have successfully found roles in sectors such as healthcare, pharmaceuticals, and environmental research. They may work as data analysts, bioinformaticians, or in roles that involve advanced data modelling and analysis, contributing significantly to their fields and driving innovation.