Bioinformatics (Online) MSc

Drive health and bioscience innovation. Develop your understanding of complex data sets and machine learning tools in order to drive new discoveries with an Online MSc Bioinformatics.<br/><br/>**Embrace data-driven bioscience**<br/>Connecting contemporary topics across biology and computer science, our Online MSc Bioinformatics will help you to master and communicate with cutting-edge methods of data manipulation and learn how to utilise them in cutting-edge health and life science research.<br/><br/>Led by active researchers in bioinformatics and linked to institutions across the world, this programme content is grounded in real-world experience and designed to help you develop the practical skills you need to further your career in this progressive field.<br/><br/>Delivered by the intrinsically multidisciplinary Centre for Computational Biology, the programme is uniquely placed to support those eager to get ahead in this fast-growing industry - from biologists and healthcare professionals already interested in data analysis, to statisticians or computer scientists wishing to apply their skills in health and biology.<br/><br/>**Your programme of study**<br/>Our Online MSc Bioinformatics connects biology, clinical applications, mathematics and computer science on a programme that bridges the fields of health informatics, machine learning and systems biology.<br/><br/>Taught by our research-led lecturer team at the University of Birmingham’s Centre for Computational Biology, youll learn how to apply real-world data and use it to inform your decision making. Through mini-case studies and group projects, you’ll work through real-life examples, drawing on connections with from across the globe – along with other industry partnerships. Combined with hands-on coding and data analysis exercises, you will complete your studies with both the theory and the practical skills you need.<br/><br/>This 180-credit programme is split into twelve 10-credit taught modules and a 60-credit dissertation. Students will study six modules per year of the programme, with each module lasting approximately 8 weeks. Modules will cover a wide range of contemporary topics, such as the foundations of programming, statistics, omics, health analytics, machine learning and advanced computational methods.<br/><br/>Programme outcomes include:<br/>- Exploring the ethical implications of research in biology-related fields.<br/><br/><br/>- Developing an understanding of data types used in bioinformatics including health, genomic, epigenetic, and metabolic data.<br/><br/><br/>- Gaining an understanding of omics, environmental science and toxicology, computing, algorithmics, programming and the technologies underlying biology.<br/><br/><br/>- Understanding the statistical concepts and advanced machine learning techniques used in bioinformatics.<br/><br/><br/>- Applying statistical and computational techniques underpinning advanced methodologies, and integrating diverse data types.<br/><br/><br/>- Demonstrating self-direction and originality in tackling and solving problems<br/><br/><br/>- Communicating your findings in the most effective way.<br/>