BSc (Hons)Biomedicine with Data Science

Study location	United Kingdom, Guildford, Surrey
Type	Bachelor courses, sandwich
Nominal duration	4 years
Study language	English
Awards	BSc (Hons)
Course code	B993

Entry qualification

High school / secondary education (or higher) good results in Biology and Mathematics or Physics The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take verified copies of the entry qualification documents along with you when you finally go to the university.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL, Certificate in Advanced English (CAE) or other equivalent IELTS: 6.5 (with a minimum of 6.0 in each band) TOEFL (IBT): Overall score of 80 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking CAE: Overall score of 169 or above, with at least 162 in each component

Other requirements	At least 1 reference(s) should be provided. A motivation letter must be added to your application.

More information	surrey.ac.uk/..te/biomedicine-data-science

Overview

Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.

Programme structure

Year 1 (FHEQ Level 4)

Health Challenges for the 21st Century
Chemistry and Mathematics for the Biosciences
Cell Biology
Microbiology: An Introduction to the Microbial World
Data Structures and Algorithms
Molecular Biology and Genetics: Genes and their Function
Biochemistry – A Conceptual Overview
Introduction to Principles of Physiology and Practical Skills

Year 2 (FHEQ Level 5)

Integration of Physiological Systems
Biochemistry – Enzymes and Metabolism
Health Challenges: Research Skills for the 21st Century
Artificial Intelligence
Pathology and Medicine
Molecular Biology and Genetics: From Genes to Biological Function
Cellular Microbiology and Virology
Neuroscience, From Neurones to Behaviour
Information Retrieval
Introduction to Immunology
Analytical and Clinical Biochemistry
Pharmacology: Introduction to Drug Action

Year 3 (FHEQ Level 6)

Research Project
Introduction to Mathematical Biology
Emerging Engineering for Health Challenges
Systems Biology: Genomes in Action
Biochemistry: Receptors and Energy Metabolism
Clinical Immunology and Immunohaematology
Advanced Pharmacology – Selected Topics in Drug Action
Human Microbial Diseases
Advanced Technologies in Gene Expression
Cancer: Pathogenesis and Therapeutics
Neuroscience: From Molecules to Mind
Mechanistic and Regulatory Toxicology
Epidemiology of Infectious Diseases

Career opportunities

As technologies have advanced within biosciences, the generation of large data sets (Big Data) across many disciplines has brought new challenges in terms of data processing and analysis, and the generation of realistic computational models to address complex biological and medical questions.

In the field of healthcare, ever more comprehensive data is being collated from patients, both as individuals and as whole cohorts.

A new breed of medical bioscientist, who can bring together knowledge of human and medical biology with an understanding of the mathematical and computational approaches used to analyse such data, is required in order to capitalise on the advances already being made in data generation and collection.

Our Biomedicine with Data Science programme will provide students with this unique set of knowledge and skills, and will give them a competitive edge in this newly emerging job market.