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MSc Health Data Analytics and Machine Learning

MSc Health Data Analytics and Machine Learning

Different course options

Full time | Hammersmith | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Digital Metrics / Website Analytics Research Methods (Science)

Course Summary

Course overview:

Broaden your expertise in analysing health data on this Master's course. You will gain expertise in developing, applying and interpreting results from cutting-edge statistical and machine learning approaches for analysing and integrating complex sets of data that are emerging in the health field. Delivered by international experts in the field sharing real-world expertise and experiences,, this course will equip you with both a sound theoretical and practical understanding of the needs and utility of health data analytic tools. You will address real and yet unresolved scientific questions through a variety of individual and group projects and you will produce work that adheres to international publication quality standards. The programme has a strong technical component, and will provide you with the complementary training essential for a career in health data sciences. You will be integrated and will contribute to the fast-emerging multidisciplinary and multicultural health data analytics community within Imperial and beyond.

Modules

Clinical Data Management - Core
Computational Epidemiology - Core
Introduction to Statistical Thinking and Data Analysis - Core
Machine Learning - Core
Principles and Methods in Epidemiology - Core
Research project - Core
Translational Data Sciences - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£15,500

International fees
Course fees for EU and international students

For this course (per year)

£45,000

Entry requirements

2:1 in mathematics, statistics, epidemiology or biology, or a medical degree.