Online MSc Bioinformatics
offered by Birmingham University

Online MSc Bioinformatics
at
Birmingham University
Overview

Advance Your Career with Our Flexible Online MSc Bioinformatics Program: Gain Expertise in Computational Biology and Biological Data Analysis

Online MSc Bioinformatics

Table of content

Skills you will learn

Who should do this course?

Individuals with a background in computer science or programming who wish to apply their skills to biological data analysis

What are the course deliverables?

Exploring the ethical implications of research in biology-related fields
Developing an understanding of data types used in bioinformatics including health, genomic, epigenetic, and metabolic data
Gaining an understanding of omics, environmental science and toxicology, computing, algorithmics, programming and the technologies underlying biology
Understanding the statistical concepts and advanced machine learning techniques used in bioinformatics
Applying statistical and computational techniques underpinning advanced methodologies, and integrating diverse data types

More about this course

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
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
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

Introduction to biology and programming

Scientific communication

Introduction to probabilities

Essentials of statistical modelling

Introduction to genomics and next generation sequencing

Applied genomics and next generation sequencing

Statistical machine learning

Health data analytics

Concepts in metabolomics and advanced (omics) technologies

Applied metabolomics and advanced (omics) technologies

Essentials of complex systems

Computational biology for complex systems

Dissertation

PTE

Other eligibility criteria Up Arrow Icon

Conditional Offer Up Arrow Icon

Yes
Applicant's offer will be conditional if they still have examinations to take, university need verification of candidate's qualifications or if they have to meet other non-academic entry requirements The offer letter will state the examinations student must pass and the results they must achieve, plus any non-academic requirements. All conditions must be met in full before they will be able to register for your programme
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