• University of Edinburgh Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
  • Regent’s University London Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Swansea University Featured Masters Courses
  • University of Glasgow Featured Masters Courses
  • University of York Featured Masters Courses
  • University of Leeds Featured Masters Courses
London School of Hygiene & Tropical Medicine Featured Masters Courses
University of Strathclyde Featured Masters Courses
University of Leeds Featured Masters Courses
University of Leeds Featured Masters Courses
Cardiff University Featured Masters Courses

MRes in Biomedical Research (Data Science)


Course Description

Studentships

* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.

* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.

Stream overview

The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.

Who is this course for?

Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.

Stream Objectives

Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:

• 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.
• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.
• Interpret and present complex scientific data from multiple sources.
• Mine the scientific literature for relevant information and develop research plans.
• Write a grant application, through the taught grant-writing exercise common to all MRes streams.
• Write and defend research reports through writing, poster presentations and seminars.
• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the
MRes Biomedical Research degree.

Projects

A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):

• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection
• What Makes a Biological Pathway Useful? Investigating Pathway Robustness
• Bioinformatics for mass spectrometry imaging in augmented systems histology
• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity
• Fusion of molecular and clinical phenotypes to predict patient mortality
• 4-dimensional visualization of high throughput molecular data for surgical diagnostics
• Modelling short but highly multivariate time series in metabolomics and genomics
• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra

Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!

Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London website for more details!

Student Profiles
(Scholarship)

Faculty of Medicine Dean's Master's Scholarships - 8 Awards

Applications are invited from outstanding candidates from the UK and EU who have the potential to become leaders in their field.Successful applicants will have their tuition fees paid for by the Faculty of Medicine.Candidates are expected to be able to provide evidence of outstanding academic ability. This will usually mean being among the highest achievers in their undergraduate cohort, and in receipt of, or due to receive a first class UK Honours degree or equivalent.An applicant who does not meet this requirement (e.g. holds a second class undergraduate degree, is a health professional who did not undertake a degree course, or is from a non-traditional background) will be considered if they are able to demonstrate that they have outstanding academic potential and substantial experience relevant to their chosen subject area.The deadline for scholarship applications is Tuesday, 25 April 2017.

Value of Scholarship(s)

Full tuition fees

Eligibility

Available to Home/EU students planning to study a full-time or part-time Master's course run by Imperial's Faculty of Medicine in the 2017/18 academic year.

Application Procedure

Interested applicants will need to first apply for a Master's programme run by the Faculty of Medicine. They will then need to complete an online form. Please see the Faculty of Medicine Master's Dean's Master's Scholarships page for more information, or contact Gemma Williamson - [email protected]

Further Information

http://www.imperial.ac.uk/medicine/study/postgraduate/deans-masters-scholarships/


(Scholarship)

The Dr Jean Alero Thomas Scholarship - 2 Awards

Applications are invited from outstanding candidates from the UK and EU who have the potential to become leaders in their field.Successful applicants will have their tuition fees paid for by the Faculty of Medicine.Candidates are expected to be able to provide evidence of outstanding academic ability. This will usually mean being among the highest achievers in their undergraduate cohort, and in receipt of, or due to receive a first class UK Honours degree or equivalent.An applicant who does not meet this requirement (e.g. holds a second class undergraduate degree, is a health professional who did not undertake a degree course, or is from a non-traditional background) will be considered if they are able to demonstrate that they have outstanding academic potential and substantial experience relevant to their chosen subject area.The deadline for scholarship applications is Tuesday, 25 April 2017.

Value of Scholarship(s)

Full tuition fees

Eligibility

Available to Home/EU students planning to study a full-time or part-time lab-based Master's course run by Imperial's Faculty of Medicine in the 2017/18 academic year.

Application Procedure

Interested applicants will need to first apply for a lab-based Master's programme run by the Faculty of Medicine. They will then need to complete an online form. Please see the Faculty of Medicine Master's Dean's Master's Scholarships page for more information, or contact Gemma Williamson - [email protected]

Further Information

http://www.imperial.ac.uk/medicine/study/postgraduate/deans-masters-scholarships/



Entry Requirements

a first or upper second class honours degree in an appropriate science subject

Email Enquiry

Recipient: Imperial College London

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully



Share this page:

Cookie Policy    X