Careers
Employability
There is growing demand for professionals who can analyse complex health data, manage digital systems, and apply statistical, machine learning, and AI methods to real-world challenges. Graduates of the MSc in Applied Statistical Modelling and Health Informatics are well-prepared for a wide range of roles across healthcare, industry, and research sectors.
The programme equips you with in-demand skills in applied statistics, health informatics, data science, AI, machine learning, and programming. You’ll learn to design and evaluate data-driven healthcare solutions, manage and analyse large and multimodal datasets, and communicate insights clearly to varied audiences—core competencies sought across both the public and private sectors.
Importantly, we don’t just teach technical skills—we go further. The programme helps you not only use tools and methods, but also understand how and why they work. You’ll build a strong theoretical foundation alongside hands-on, practical experience, enabling you to apply methods critically, adapt to new challenges, and make informed decisions in complex, real-world settings. This combination of conceptual understanding and applied ability is essential in today’s fast-moving data landscape, where technologies evolve rapidly and critical thinking is key.
We also recognise the importance of broader professional capabilities. The programme actively supports the development of skills that employers value—such as creativity, adaptability, communication, collaboration, leadership, and critical thinking. These are embedded throughout the curriculum, particularly in the Skills & Futures Series and the ePortfolio, which help you reflect on your progress, articulate your learning, and present a coherent personal narrative to future employers.
Together, these elements ensure that you graduate with more than just technical expertise—you’ll leave with the insight, confidence, and flexibility needed to thrive in a range of professional environments.
Graduates from the programme go on to work in:
- NHS and Public Health – including digital health, policy, service evaluation, and healthcare analytics
- Pharmaceutical, Biotech, and Health-Tech sectors – including roles in R&D, real-world evidence, and clinical informatics
- Academic Institutions and Research Centres
- Startups and Innovation-led Tech Companies – especially in digital health and AI applications
- Financial Services, Marketing, Insurance, and Consultancy – particularly in roles involving data science and predictive modelling
- Non-profits and International Organisations – including health policy, global health data, and digital innovation in low-resource settings
You’ll also be well-prepared to pursue further study, including PhDs in biostatistics, health data science, informatics, psychology, medicine, or related areas.
Whether you’re aiming for a clinical trials unit, health-tech innovation, or data-intensive roles beyond healthcare, the MSc ASMHI provides the technical foundation, practical experience, and professional skills needed to support your next steps.