Students
Tuition Fee
GBP 40,000
Per year
Start Date
Medium of studying
Blended
Duration
12 months
Details
Program Details
Degree
Masters
Major
Biomedical Engineering | Health Informatics | Data Science
Area of study
Information and Communication Technologies | Health
Education type
Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 40,000
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Applied Statistical Modelling & Health Informatics MSc/PGDip/PGCert

Key Information

  • Delivery mode: In person, Classroom & Online
  • Study mode: Full time
  • Duration: One Year
  • Credit value (UK/ECTS equivalent): UK 180/ECTS 90, UK 120/ECTS 60, UK 60/ECTS 30
  • Application status: Open
  • Start date: September 2025

Course Essentials

Our course is designed to meet the growing need for a graduate training course that focuses on methodological skills to respond to problems of “big data” of complex diseases, which is underpinned by strong statistical methodology and real-world application. There is an increasing demand for the acquisition, storage, retrieval, and use of information within private and public sector institutions engaged in health research. The range of modern medical data is vast, from patient records, genetics, other omics, and imaging data to real-time measures of physiological responses from wearable sensors, smartphone social media use, and environmental data. We will provide you with the necessary state-of-the-art statistical modelling and health informatics techniques to manage and evaluate this data.


Entry Requirements

UK Applicants

  • Standard requirements: A minimum 2:1 undergraduate Bachelor’s (honours) degree
  • Programme-Specific Requirements: A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology, or Geographic Information Systems.

International Applicants

  • Equivalent International qualifications: Select a country to view equivalent qualifications
  • English language requirements: English language band B

Teaching & Structure

  • Teaching methods: Blended learning, Lectures, Workshops, Seminars
  • Our course combines training in core statistical modelling, health informatics, and computational methodology, beginning at an introductory level, with a range of optional modules.
  • The course uses a blended design to teaching and learning, where students access pre-recorded lectures from world’s leading experts, complemented by face-to-face workshops and seminars to ensure students have a rich and exciting learning experience from the start.

Assessment

  • Written Examinations
  • Coursework
  • Portfolios
  • The primary methods of assessment for this course are written examinations, coursework, and an e-portfolio of competencies and skills, to support your employability and development.

Structure

Required Modules

  • MSc: Introduction to Statistical Modelling (15 credits), Introduction to Health Informatics (15 credits), ASMHI Research Project (60 Credits)
  • PG Dip: Introduction to Statistical Modelling (15 credits), Introduction to Health Informatics (15 credits)
  • PG Cert: Introduction to Statistical Modelling (15 credits)

Optional Modules

  • Multilevel and Longitudinal Modelling (15 credits)
  • Prediction Modelling (15 credits)
  • Causal Modelling and Evaluation (15 credits)
  • Machine Learning for Health and Bioinformatics (15 credits)
  • Clinical trials: A practical approach (15 credits)
  • Natural Language Processing (NLP) (15 credits)
  • Artificial Intelligence in Health Analytics (15 Credits)
  • Bioinformatics, Interpretation and Data Quality in Genome Analysis (15 Credits)
  • Advanced Bioinformatics: Practical Bioinformatics Data Skills (15 Credits)

Employability

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.


Tuition Fees

UK:

  • Full time: £16,950 per year (MSc, 2025/26); £11,300 per year (PG Dip, 2025/26); £5,650 per year (PG Cert, 2025/26);

International:

  • Full time: £40,000 per year (MSc, 2025/26); £26,557 per year (PG Dip, 2025/26); £13,333 per year (PG Cert, 2025/26);

Additional Costs

  • Books if you choose to buy your own copies
  • Laptop; as one will be needed for on campus
  • DBS checks
  • Library fees and fines
  • Society membership fees
  • Stationery
  • Travel costs for travel to and around London and between campuses/accommodation for your stay in London
  • Graduation costs

Funding

To find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans, and other financial help available at King's please visit the Fees and Funding section.


Department of Biostatistics and Health Informatics Scholarship

Scholarship of £5000 are available for 2025/26 applicants. For more information click here.


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