12 monthsProgramme duration
36,500 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Medicine Related Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme covers computational and statistical methods as applied to problems in data-intensive medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities.
You will learn how to link and analyse large complex datasets. You will also design and carry out complex and innovative clinical research studies that take advantage of the increasing amount of available data about the health, behaviour and genetic make-up of small and large populations. The programme draws on a range of areas, including epidemiology, computer science, statistics and other fields, such as genetics.
Students undertake modules to the value of 180 credits.
The programme consists of five compulsory modules (75 credits), three optional modules (45 credits), and a dissertation (60 credits).
A Postgraduate Diploma, five compulsory modules (75 credits), three optional modules (45 credits), full-time one year, part-time two years or flexible study up to five years, is offered.
A Postgraduate Certificate, two compulsory modules (30 credits), two optional modules (30 credits), full-time one year, part-time two years or flexible study up to five years, is offered.
Upon successful completion of 180 credits, you will be awarded a MSc in Health Data Science. Upon successful completion of 120 credits, you will be awarded a PG Dip in Health Data Science. Upon successful completion of 60 credits, you will be awarded a PG Cert in Health Data Science.
Programme overview
Main Subject
Medicine Related Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme covers computational and statistical methods as applied to problems in data-intensive medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities.
You will learn how to link and analyse large complex datasets. You will also design and carry out complex and innovative clinical research studies that take advantage of the increasing amount of available data about the health, behaviour and genetic make-up of small and large populations. The programme draws on a range of areas, including epidemiology, computer science, statistics and other fields, such as genetics.
Students undertake modules to the value of 180 credits.
The programme consists of five compulsory modules (75 credits), three optional modules (45 credits), and a dissertation (60 credits).
A Postgraduate Diploma, five compulsory modules (75 credits), three optional modules (45 credits), full-time one year, part-time two years or flexible study up to five years, is offered.
A Postgraduate Certificate, two compulsory modules (30 credits), two optional modules (30 credits), full-time one year, part-time two years or flexible study up to five years, is offered.
Upon successful completion of 180 credits, you will be awarded a MSc in Health Data Science. Upon successful completion of 120 credits, you will be awarded a PG Dip in Health Data Science. Upon successful completion of 60 credits, you will be awarded a PG Cert in Health Data Science.
Admission Requirements
Tuition fees
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Scholarships
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