MSc Health Data Science and Clinical Informatics at Birmingham City University

Programme overview

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.

Faculty: Faculty of Health, Education and Life Sciences | Department: Sport and Life Sciences, Health Professions | Duration: 12 months full-time; 24 months part-time | Study mode: full-time/part-time | Intake: September 2027, January 2028 | Location: Birmingham, England, United Kingdom

What you will study

You’ll build a strong foundation in health data science, epidemiology, and informatics, exploring how data is used to understand, predict, and improve health outcomes across populations and clinical settings. Through practical sessions in R, Python, Git, GitHub and Lynx, you’ll learn to manage, clean, analyse, and visualise real-world health datasets, including electronic health records and biomedical data. You’ll study machine learning, artificial intelligence, and data modelling to develop predictive tools and decision-support systems that inform clinical and policy decisions. Modules include Introduction to Health Data Science and Epidemiological Principles, Applied Research and Epidemiological Methods in Health Data Science, Health Informatics, Health Data Modelling and Visualisation with Machine Learning, Dissertation, Health Economics, Advanced Epidemiology and Biostatistical Methods, Data Analysis using Machine Learning.

Career pathways

This MSc equips you with the technical, analytical, and professional skills essential for careers in health data science, digital health, and clinical informatics. You will gain hands-on experience working with real-world health datasets, applying advanced statistical, computational, and machine learning techniques using R, and Python.

Official programme page

Application information

Entry requirements

Applicants are normally expected to have a minimum of a 2:2 honours degree in a relevant subject such as Life or Health Sciences, Computer Science, Informatics, Statistics, or related disciplines. Applicants for this course also need GCSE English Language or English Literature and GCSE Maths at grade C/4 or above. If you do not have those GCSEs, we may accept other level 2 equivalents, or we may ask you to pass BCU's GCSE equivalency tests. Applicants with professional qualifications or substantial relevant work experience may also be considered. IELTS 6.5 overall with no less than 6.0 in each band, or equivalent. Additional information. Please note, you may be required to provide evidence of recent academic or professional activity if your qualifications are older than 5 years. Recognition of prior certificated learning (APCL) or recognition of prior experiential learning (APEL) will be considered on a case-by-case basis, in line with University regulations, to support entry onto the course.

Domestic applicants: GBP 10,710 a year (2027/28). full-time, 12 months; annual tuition for the first year of study Source

International applicants: GBP 19,630 a year (2027/28). full-time, 12 months; annual tuition for the first year of study Source

Intake: September 2027, January 2028

Duration: 12 months full-time; 24 months part-time

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