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Students
Tuition Fee
GBP 40,000
Per year
Start Date
2025-09-01
Medium of studying
Blended
Duration
12 months
Program Facts
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.


Program Outline


King's College London Applied Statistical Modelling & Health Informatics MSc/PGDip/PGCert


Degree Overview:

This program has been designed to equip graduates with the necessary skills and knowledge to thrive in the rapidly growing field of "multimodal" and "big data" analysis, particularly within the UK Life Sciences domain. Participants will receive world-class training in core applied statistical methodologies, machine learning, and computational approaches, with opportunities to apply their skills in real-life settings facilitated by the renowned Institute of Psychiatry, Psychology & Neuroscience (IoPPN). The program caters to a broad spectrum of graduates: those preparing for careers in medical statistics and health informatics, and professional methodologists and clinical researchers working in the private or public health sectors seeking state-of-the-art methodological training from world-class experts. Furthermore, the program is suitable for graduates with backgrounds in psychology, medical/health sciences, bioinformatics, data science, statistics, mathematics, physics, engineering, and natural sciences. Practical skills will be honed through applications to real-life settings within a leading research institution in mental health.


Key Benefits:

  • Specialist career preparation for those interested in applied statistical modeling and health informatics within modern information and knowledge-based medical research settings.
  • Valuable insights from leading experts in the field.
  • A unique, flexible program structure ideal for researchers in industry and academia seeking to obtain methodological skills to boost their research excellence and employability.
  • Develop skills in multimodal and big data analysis techniques.
  • Apply skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
  • Access the IoPPN's statistical and health informatics research groups and benefit from links with industry and the NHS.
  • Benefit from outstanding career, networking, and mentoring opportunities.

Outline:


Course Structure:

  • The course combines training in core statistical modeling, 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 a rich and exciting learning experience from the start.

Module Structure:

  • Each year, students will take:
  • MSc: 3 Core Modules, 5 Optional Modules, and a Research Project Module totaling 180 credits.
  • PGDip: 3 Core Modules, 5 Optional Modules totaling 120 credits.
  • PGCert: 2 Core Modules and 2 Optional Modules totaling 60 credits.

Core Modules:

  • Introduction to Statistical Modelling (15 credits)
  • Introduction to Statistical Programming (15 credits)
  • Introduction to Health Informatics (15 credits)

Optional Modules (15 credits each):

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

Assessment:

The primary assessment methods for this course are:

  • Written examinations
  • Coursework
  • An e-portfolio of competencies and skills

Teaching:

  • The course is taught through a mix of pre-recorded lectures, tutorials, seminars, and digital activities.
  • 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 a rich and exciting learning experience from the start.

Careers:

This program 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. Graduates will have a solid understanding of the methodologies and applications relevant to design and implement clinical research studies that leverage the increasing availability of multimodal and big data. This includes health data acquisition, storage, interoperability, data analysis, and interpretation and communication of findings.


Other:

  • The study time and assessment methods detailed above are typical and give a good indication of what to expect.
  • However, they are subject to change.
  • The full MSc requires completion of the ASMHI Research Project module, assessed by a dissertation/research report and a poster/viva.
  • The application closing deadline for the full-time MSc/PGDip/PGCert program is as follows:
  • Overseas (international) fee status: 26 July 2024 (23:59 UK time)
  • Home fee status: 26 August 2024 (23:59 UK time)

UK: Full time: £15,840 per year (MSc, 2024/25); £10,560 per year (PG Dip, 2024/25); £5,280 per year (PG Cert, 2024/25); Part time: £7,920 per year (MSc, 2024/25); International: Full time: £37,368 per year (MSc, 2024/25); £24,912 per year (PG Dip, 2024/25); £12,456 per year (PG Cert, 2024/25); Part time: £18,684 per year (MSc, 2024/25); These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions. Deposit Deposit payments are credited towards the total tuition fee payment. The Home deposit is £500. The International deposit is £2000. If you receive an offer between 1 March and 20 May, payment is due within one month of receiving the offer. If you receive an offer between 16 July and 15 August, payment is due within one week of receiving the offer. Additional Costs Laptop; as one will be needed for on campus. DBS checks. Library fees and fines. Society membership fees. Stationery. Graduation costs.

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Admission Requirements

Entry Requirements


UK applicants

  • Standard requirements:
  • A minimum 2:1 undergraduate Bachelor’s (honours) degree
  • 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).
  • 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.
  • In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree, if you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
  • Other degrees or professional qualifications may be acceptable, such as the Graduate diploma of the Royal Statistical Society.

International applicants

  • Equivalent International qualifications:

English language requirements

  • English language band: B
  • To study at King’s, it is essential that you can communicate in English effectively in an academic environment.
  • You are usually required to provide certification of your competence in English before starting your studies.
  • Nationals of majority English speaking countries (as defined by the UKVI) who have permanently resided in this country are not usually required to complete an additional English language test.
  • This is also the case for applicants who have successfully completed an undergraduate degree (of at least three years duration), a postgraduate taught degree (of at least one year), or a PhD in a majority English speaking country (as defined by the UKVI) within five years of the course start date.
  • However, they do mention that applicants must demonstrate English language proficiency through certification.
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