Applied Statistical Modelling & Health Informatics MSc, PG Cert, PG Dip

at King's College London

Required modules

You are required to take:

• Introduction to Statistical Modelling (15 credits)
• Introduction to Statistical Programming (15 credits)
• Introduction to Health Informatics (15 credits)
• ASMHI Research Project (60 Credits/For MSc only)

Standard requirements
A minimum 2:1 undergraduate degree with a final mark of at least 60% or above.

If you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).

Other requirements
A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.

Candidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement.

UK:
Full time: £14,070 per year (MSc, 2022/23); £9,380 per year (PG Dip, 2022/23); £4,690 per year (PG Cert, 2022/23);

International:
Full time: £32,940 per year (MSc, 2022/23); £21,960 per year (PG Dip, 2022/23); £10,980 per year (PG Cert, 2022/23);

There is an increasing demand for individuals who can understand and manage information and information systems as well as analyse and interpret complex data in industry, public health sector and academia.

This programme offers a unique blend of training in applied statistics and health informatics science to enable graduates for roles in this rapidly emerging field of data-intensive medical research. Upon completion, you will have a solid understanding of the methodologies and application that are relevant to design and implement clinical research studies that take advantage of the increasing availability of multimodal and big data. This will include health data acquisition, storage, interoperability, data analyses and interpretation and communication of findings. Postgraduate qualifications are often required to progress to senior positions.

Our course will help you to develop your career in the medical research and health sector, including public health service (NHS), pharmaceutical and computer companies, technology start-ups, government agencies as well as academia and other scientific organizations. Knowledge of applied statistical modelling and data science will also open careers in other sectors such as banking, marketing, insurance and consulting. It will also provide a strong foundation for students interested in obtaining a PhD in biostatistics, data science, psychology, medicine or informatics with an emphasis on applications in health science.