Diagnostics, Data and Digital Health (MSc) 12 months Postgraduate Programme By The University of Warwick |TopUniversities
Subject Ranking

# 51-100QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

31,670 Tuition Fee/year

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Technological advances, increased expectations for medicine, longer life expectancy along with legal, ethical and economic factors have led to a vast expansion in medical imaging and diagnostics. There is an increasing need for digital healthcare solutions to meet the changing needs and expectations of patients. Our MSc Diagnostics, Data and Digital Health will train students in the theory and practical implementation of cutting-edge diagnostic and imaging technologies and expose them to established, as well as emerging, applications using data science, artificial intelligence and machine learning. This course is part of the University’s flagship ‘Science for Sustainable Futures’ portfolio – an interdisciplinary initiative designed to address global challenges through innovative education. With core material delivered by leading experts from the School of Engineering, Warwick Medical School, and WMG, the course offers a truly cross-disciplinary experience. By learning across traditional subject boundaries and honing both critical thinking and practical skills, students will gain the advanced knowledge and applied insight sought after by industry leaders and employers across sectors. After graduation students will be well equipped for further study (PhD) in areas of critical scientific and technological importance, or for employment in a broad range of industries such as diagnostics and pharmaceutical industries, life science and clinical trials companies, health-tech SMEs, and research organisations. The MSc can be studied part-time over two years to suit those in employment. PG Diploma and Certificate options are also available for those who would like to take a subset of modules.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Technological advances, increased expectations for medicine, longer life expectancy along with legal, ethical and economic factors have led to a vast expansion in medical imaging and diagnostics. There is an increasing need for digital healthcare solutions to meet the changing needs and expectations of patients. Our MSc Diagnostics, Data and Digital Health will train students in the theory and practical implementation of cutting-edge diagnostic and imaging technologies and expose them to established, as well as emerging, applications using data science, artificial intelligence and machine learning. This course is part of the University’s flagship ‘Science for Sustainable Futures’ portfolio – an interdisciplinary initiative designed to address global challenges through innovative education. With core material delivered by leading experts from the School of Engineering, Warwick Medical School, and WMG, the course offers a truly cross-disciplinary experience. By learning across traditional subject boundaries and honing both critical thinking and practical skills, students will gain the advanced knowledge and applied insight sought after by industry leaders and employers across sectors. After graduation students will be well equipped for further study (PhD) in areas of critical scientific and technological importance, or for employment in a broad range of industries such as diagnostics and pharmaceutical industries, life science and clinical trials companies, health-tech SMEs, and research organisations. The MSc can be studied part-time over two years to suit those in employment. PG Diploma and Certificate options are also available for those who would like to take a subset of modules.

Admission Requirements

7+
130+
100+
70+
A minimum 2:1 undergraduate UK Honours degree or equivalent international qualification, in a physical sciences, life sciences, biological sciences, medical sciences, mathematics, computer sciences, engineering or another relevant subject.

1 Year
Sep

Tuition fees

Domestic
13,040
International
31,670

Scholarships

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