MSc Health Data Science and Clinical Informatics 12 months Postgraduate Programme By Birmingham City University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

18,970 GBPTuition Fee/year

Main Subject Area

Health/HealthcareMain Subject Area

Programme overview

Main Subject

Health/Healthcare

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The MSc Health Data Science and Clinical Informatics at Birmingham City University is a cutting-edge programme designed to equip you with the data-driven skills needed to shape the future of healthcare. As the healthcare industry embraces digital transformation, the demand for professionals who can harness the power of data, artificial intelligence (AI), and informatics has never been greater.

This interdisciplinary course provides you with a strong foundation in biostatistics, epidemiology, health technology assessment, machine learning, and health data modelling, as well as hands-on experience with electronic health records (EHRs), biomedical imaging, and sensing technologies.

Whether you’re from a health, life science, computing or engineering background, this course prepares you to apply advanced analytical techniques to real-world health challenges, inform clinical decision-making, and improve patient outcomes. You’ll learn to work confidently with large and complex health datasets, gaining the practical and theoretical expertise sought by employers across the NHS, public health agencies, digital health companies, and the pharmaceutical sector.

With flexible full-time and part-time options and expert teaching led by the Department of Life and Sports Sciences, supported by colleagues from the Schools of Architecture, Built Environment, Computing and Engineering, and Law and Social Sciences, you’ll benefit from a rich interdisciplinary learning experience that prepares you to lead in a rapidly evolving digital healthcare landscape.

Join us at BCU and become a driver of data-led innovation in health.

Programme overview

Main Subject

Health/Healthcare

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The MSc Health Data Science and Clinical Informatics at Birmingham City University is a cutting-edge programme designed to equip you with the data-driven skills needed to shape the future of healthcare. As the healthcare industry embraces digital transformation, the demand for professionals who can harness the power of data, artificial intelligence (AI), and informatics has never been greater.

This interdisciplinary course provides you with a strong foundation in biostatistics, epidemiology, health technology assessment, machine learning, and health data modelling, as well as hands-on experience with electronic health records (EHRs), biomedical imaging, and sensing technologies.

Whether you’re from a health, life science, computing or engineering background, this course prepares you to apply advanced analytical techniques to real-world health challenges, inform clinical decision-making, and improve patient outcomes. You’ll learn to work confidently with large and complex health datasets, gaining the practical and theoretical expertise sought by employers across the NHS, public health agencies, digital health companies, and the pharmaceutical sector.

With flexible full-time and part-time options and expert teaching led by the Department of Life and Sports Sciences, supported by colleagues from the Schools of Architecture, Built Environment, Computing and Engineering, and Law and Social Sciences, you’ll benefit from a rich interdisciplinary learning experience that prepares you to lead in a rapidly evolving digital healthcare landscape.

Join us at BCU and become a driver of data-led innovation in health.

Admission Requirements

6.5+
2.2+

1 Year
Sep
Jan

Tuition fees

Domestic
10,350 GBP
International
18,970 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

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