United KingdomImperial College LondonMasters

Biomedical Research (Data Science)

Interdisciplinary training in 'big data analysis, building skills toward a career in biomedical research. Learn how to implement statistical and machine learning techniques and interpret data sets Develop your communication, presentation, and grant-writing skills across two research projects

assignment-lateDeadline:Jul 23, 2024
Biomedical Research (Data Science) - Cover
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Duration
1 year
Tuition Fee
£40,800 annually
Level
Masters
Attendance
On Campus
Format
Full Time

Description

Course Overview

Receive interdisciplinary training in 'big data analysis in relation to biomolecular studies on this Master's course.

On this stream of the MRes in Biomedical Research, you'll receive core training in multivariate statistics, chemometrics and machine learning methods.

The course will build your research experience in the development and application of these methods to real-world biomedical studies.

You'll also learn to handle large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches.

Two research projects are major components of this course.

These will help you develop communication, presentation and grant-writing skills, and become familiar with evaluating research reports.

You have the option of choosing our general biomedical research stream, or one of eight specialisms. All of our biomedical research streams have the same course structure and each stream has its own tailored set of projects alongside a core programme of lectures, seminars and practical classes.

You should consider which stream is right for you according to your career aims and background. If an offer of admission is made, it will correspond to a specific stream. Switching streams is not possible once you have commenced your studies.

General Biomedical Research

Anaesthetics, Pain Medicine and Intensive Care

Bacterial Pathogenesis and Infection

Data Science (this stream)

Epidemiology, Evolution and Control of Infectious Diseases

Microbiome in Health and Disease

Molecular Basis of Human Disease

Respiratory and Cardiovascular Science

Is this stream for you?

This stream is suitable for students with a degree in physical sciences, engineering, mathematics computer science who wish to apply their numeric skills to solve biomedical problems with big data.

You will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions.

You will perform novel computational informatics research and exercise critical scientific thought in the interpretation of results, implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex biomedical data sets.

Requirement

Applicants must possess a bachelor's degree with CGPA > 2.50/4.00 OR 3.0-3.5/5.00

A copy of your international Passport Bio-Data Page.

WAEC Certificate

Undergraduate Certificate (ND & HND)

Undergraduate Transcript  (ND & HND)

Passport Photograph

Curriculum Vitae

Two reference letters.

Statement of Purpose in English (A letter that states the Applicant’s Purpose for choosing the Program ).

Upper-intermediate command of English (equivalent to IELTS 6.0+ or TOEFL 79+ level, but no certificate required) 


Fees

Tuition Fee for Local students and Ireland£ 19,000.00



Tuition Fee £40,800 annually
Application Fee £0
Acceptance Fee £0
Housing Fee £500- £600 monthly
Living Fee £300- £399 monthly

Addition Information

DegreeMRES
Duration1 year
AttendanceOn Campus
LevelMasters
Country🇬🇧 United Kingdom
Campuses
Main Campus
FormatFull Time
Intakes
Fall 2023, Fall 2024
Study LanguageEnglish
Application Fee£0

£40,800 per year

assignment-lateJul 23, 2024
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