MSc

MSc Health Informatics

Where clinical care meets digital innovation

Online or on campus

24 months180 creditsEnglish

Overview

Healthcare generates more data than any other sector, yet many institutions struggle to use it effectively. This programme trains informaticians who understand both clinical workflows and modern data architecture. You will study electronic health records, FHIR interoperability standards, clinical decision support, and health data governance including GDPR and HIPAA principles. Case studies span NHS trusts, African community health networks, and private hospital groups. MSc Health Informatics is taught as one award, not a list of unrelated modules. The published length is 24 months, and the credit total is 36. Students move from Introduction to Health Informatics through Introduction to Health Informatics; Clinical Workflow & Process Analysis; Health Data Standards (HL7, FHIR, SNOMED); Biostatistics & Epidemiology; Electronic Health Records & Implementation; Health Information Exchange & Interoperability, and finish on MSc Health Informatics Capstone. Each course has a question, a method, and a submission. In this field, students describe how people, records, and decisions move through one service, and separate cause from harm. Reading is a pathway description, an incident summary, and an information standard. The artefact a marker expects is a brief a service manager could use, with the evidence attached. The award is built so that a graduate can do the following in practice: Map clinical workflows and identify informatics improvement opportunities Design EHR configurations and interoperability solutions using HL7 FHIR Apply epidemiological methods to population health analytics Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass. This course does not confer a licence to practise nursing, medicine, or any other clinical profession. The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.

Clinical and IT backgrounds are both welcome — bridge modules level-up whichever side you arrive from. You will configure FHIR APIs in sandbox environments and critique real EHR rollout case studies from the NHS and East Africa.

Who This Programme Is For

Nurses, doctors, and allied health professionals moving into informatics
IT analysts entering healthcare technology roles
Public-health officials managing digital health programmes

Faculty spotlight

Dr. Aisha Okonkwo, former NHS clinical informatics lead, teaches EHR implementation; Professor Emma Laurent researches low-bandwidth telemedicine architectures.

How you can study

Recommended

Study online

100% tuition-free online

Online tuition is free. Online examinations and certificates are 100% free and sponsored.

✦ Tuition: £0 / $0
✦ Examinations & certificates are 100% free & sponsored
✦ Learn from anywhere · Live online seminars

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On-campus study

Study at our campus

Prefer to learn at our London campus? Campus tuition is published on each programme page. All examinations are 100% free of charge.

✦ Tuition: £9,500 / US$12,000/year
✦ Location: Du Cane Rd, London W12 0NN, United Kingdom
✦ Campus examinations are charged
✦ In-person seminars, library & student services

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What You Will Learn

Map clinical workflows and identify informatics improvement opportunities
Design EHR configurations and interoperability solutions using HL7 FHIR
Apply epidemiological methods to population health analytics
Evaluate health IT implementations using safety and usability frameworks
Lead cross-functional teams of clinicians, IT staff, and administrators
Conduct usability and safety assessments of clinical software
Draft data-sharing agreements compliant with UK GDPR

Curriculum

Year 1 — Foundations

Code	Course	Credits · hours
HI501	Introduction to Health Informatics Introduction to Health Informatics (HI501) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI501-M1 · Pathway, payment, records, and the bottleneck — Introduction to Health Informatics HI501-M2 · Incident, harm, cause, and the change that prevents a repeat — Introduction to Health Informatics HI501-M3 · Indicators, privacy, and misuse of a report — Introduction to Health Informatics HI501-M4 · Quality, safety, and the limit of the data — Introduction to Health Informatics HI501-M5 · Service design for a named population — Introduction to Health Informatics HI501-M6 · A service or informatics brief with evidence and a recommendation — Introduction to Health Informatics	15 · 150 h
HI502	Clinical Workflow & Process Analysis Clinical Workflow & Process Analysis (HI502) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI502-M1 · Pathway, payment, records, and the bottleneck — Clinical Workflow & Process Analysis HI502-M2 · Incident, harm, cause, and the change that prevents a repeat — Clinical Workflow & Process Analysis HI502-M3 · Indicators, privacy, and misuse of a report — Clinical Workflow & Process Analysis HI502-M4 · Quality, safety, and the limit of the data — Clinical Workflow & Process Analysis HI502-M5 · Service design for a named population — Clinical Workflow & Process Analysis HI502-M6 · A service or informatics brief with evidence and a recommendation — Clinical Workflow & Process Analysis	15 · 150 h
HI503	Health Data Standards (HL7, FHIR, SNOMED) Health Data Standards (HL7, FHIR, SNOMED) (HI503) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI503-M1 · The question, the unit of analysis, and data quality — Health Data Standards (HL7, FHIR, SNOMED) HI503-M2 · Features, baselines, and error — Health Data Standards (HL7, FHIR, SNOMED) HI503-M3 · Validation, leakage, and what the model must not decide — Health Data Standards (HL7, FHIR, SNOMED) HI503-M4 · Monitoring, drift, and human review — Health Data Standards (HL7, FHIR, SNOMED) HI503-M5 · Interpretation for a non-technical decision maker — Health Data Standards (HL7, FHIR, SNOMED) HI503-M6 · A supervised project with method, result, and limitation — Health Data Standards (HL7, FHIR, SNOMED)	15 · 150 h
HI504	Biostatistics & Epidemiology Biostatistics & Epidemiology (HI504) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI504-M1 · Define demand, capacity, and the queue the patient or user sees HI504-M2 · Find the bottleneck rather than the step people complain about first HI504-M3 · Calculate a simple wait from arrival rate and service time HI504-M4 · Show how a batch, a roster gap, or a missing result creates the queue HI504-M5 · Separate a capacity problem from a scheduling problem HI504-M6 · State what a new digital tool does not add if the bottleneck is staff or a room HI504-M7 · Give one change and the figure that would show it worked HI504-M8 · Submission: a flow note with the bottleneck, the change, and the measure	15 · 150 h

Year 1 — Systems

Code	Course	Credits · hours
HI505	Electronic Health Records & Implementation Electronic Health Records & Implementation (HI505) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI505-M1 · Pathway, payment, records, and the bottleneck — Electronic Health Records & Implementation HI505-M2 · Incident, harm, cause, and the change that prevents a repeat — Electronic Health Records & Implementation HI505-M3 · Indicators, privacy, and misuse of a report — Electronic Health Records & Implementation HI505-M4 · Quality, safety, and the limit of the data — Electronic Health Records & Implementation HI505-M5 · Service design for a named population — Electronic Health Records & Implementation HI505-M6 · A service or informatics brief with evidence and a recommendation — Electronic Health Records & Implementation	15 · 150 h
HI506	Health Information Exchange & Interoperability Health Information Exchange & Interoperability (HI506) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI506-M1 · Pathway, payment, records, and the bottleneck — Health Information Exchange & Interoperability HI506-M2 · Incident, harm, cause, and the change that prevents a repeat — Health Information Exchange & Interoperability HI506-M3 · Indicators, privacy, and misuse of a report — Health Information Exchange & Interoperability HI506-M4 · Quality, safety, and the limit of the data — Health Information Exchange & Interoperability HI506-M5 · Service design for a named population — Health Information Exchange & Interoperability HI506-M6 · A service or informatics brief with evidence and a recommendation — Health Information Exchange & Interoperability	15 · 150 h
HI507	Clinical Decision Support Systems Clinical Decision Support Systems (HI507) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI507-M1 · Pathway, payment, records, and the bottleneck — Clinical Decision Support Systems HI507-M2 · Incident, harm, cause, and the change that prevents a repeat — Clinical Decision Support Systems HI507-M3 · Indicators, privacy, and misuse of a report — Clinical Decision Support Systems HI507-M4 · Quality, safety, and the limit of the data — Clinical Decision Support Systems HI507-M5 · Service design for a named population — Clinical Decision Support Systems HI507-M6 · A service or informatics brief with evidence and a recommendation — Clinical Decision Support Systems	15 · 150 h
HI508	Health Data Privacy & Governance Health Data Privacy & Governance (HI508) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI508-M1 · State the service decision the case is asked to defend HI508-M2 · Use the pathway, the tool, the failure, or the indicator from earlier courses HI508-M3 · Recommend one change, not a transformation programme HI508-M4 · Name the evidence that would show the change worked HI508-M5 · Cost the change in time, staff, or risk, even if the money figure is approximate HI508-M6 · Reject a weaker option and say why HI508-M7 · State what the case does not prove, including any clinical claim HI508-M8 · Submission: the operations case and a short defence	15 · 150 h

Year 2 — Applied

Code	Course	Credits · hours
HI601	Population Health Analytics Population Health Analytics (HI601) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI601-M1 · Draw one pathway from referral or arrival to discharge or handover HI601-M2 · Name every handoff and the person responsible for it HI601-M3 · Mark the step where information is usually lost HI601-M4 · Separate the designed pathway from the one staff walk HI601-M5 · Identify the record created at each step HI601-M6 · State which delay is clinical and which is administrative HI601-M7 · Show a pathway where adding a step made flow worse HI601-M8 · Submission: a pathway map with the handoffs and the weak step	15 · 150 h
HI602	Digital Health Innovation Digital Health Innovation (HI602) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI602-M1 · Pathway, payment, records, and the bottleneck — Digital Health Innovation HI602-M2 · Incident, harm, cause, and the change that prevents a repeat — Digital Health Innovation HI602-M3 · Indicators, privacy, and misuse of a report — Digital Health Innovation HI602-M4 · Quality, safety, and the limit of the data — Digital Health Innovation HI602-M5 · Service design for a named population — Digital Health Innovation HI602-M6 · A service or informatics brief with evidence and a recommendation — Digital Health Innovation	15 · 150 h
HI603	MSc Health Informatics Capstone MSc Health Informatics Capstone (HI603) is a course on MSc Health Informatics. It carries 30 credits and 300 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. HI603-M1 · Pathway, payment, records, and the bottleneck — MSc Health Informatics Capstone HI603-M2 · Incident, harm, cause, and the change that prevents a repeat — MSc Health Informatics Capstone HI603-M3 · Indicators, privacy, and misuse of a report — MSc Health Informatics Capstone HI603-M4 · Quality, safety, and the limit of the data — MSc Health Informatics Capstone HI603-M5 · Service design for a named population — MSc Health Informatics Capstone HI603-M6 · A service or informatics brief with evidence and a recommendation — MSc Health Informatics Capstone	30 · 300 h

Code

Course

Credits · hours

HI601

Population Health Analytics

Population Health Analytics (HI601) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.

HI601-M1 · Draw one pathway from referral or arrival to discharge or handover
HI601-M2 · Name every handoff and the person responsible for it
HI601-M3 · Mark the step where information is usually lost
HI601-M4 · Separate the designed pathway from the one staff walk
HI601-M5 · Identify the record created at each step
HI601-M6 · State which delay is clinical and which is administrative
HI601-M7 · Show a pathway where adding a step made flow worse
HI601-M8 · Submission: a pathway map with the handoffs and the weak step

15 · 150 h

HI602

Digital Health Innovation

Digital Health Innovation (HI602) is a course on MSc Health Informatics. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.

HI602-M1 · Pathway, payment, records, and the bottleneck — Digital Health Innovation
HI602-M2 · Incident, harm, cause, and the change that prevents a repeat — Digital Health Innovation
HI602-M3 · Indicators, privacy, and misuse of a report — Digital Health Innovation
HI602-M4 · Quality, safety, and the limit of the data — Digital Health Innovation
HI602-M5 · Service design for a named population — Digital Health Innovation
HI602-M6 · A service or informatics brief with evidence and a recommendation — Digital Health Innovation

15 · 150 h

HI603

MSc Health Informatics Capstone

MSc Health Informatics Capstone (HI603) is a course on MSc Health Informatics. It carries 30 credits and 300 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.

HI603-M1 · Pathway, payment, records, and the bottleneck — MSc Health Informatics Capstone
HI603-M2 · Incident, harm, cause, and the change that prevents a repeat — MSc Health Informatics Capstone
HI603-M3 · Indicators, privacy, and misuse of a report — MSc Health Informatics Capstone
HI603-M4 · Quality, safety, and the limit of the data — MSc Health Informatics Capstone
HI603-M5 · Service design for a named population — MSc Health Informatics Capstone
HI603-M6 · A service or informatics brief with evidence and a recommendation — MSc Health Informatics Capstone

30 · 300 h

Career Paths

Clinical Informatics Specialist
Health IT Project Manager
Public Health Data Analyst
EHR Implementation Consultant
Digital Health Product Owner

Programme Highlights

Modules co-designed with practising clinicians
FHIR and openEHR standards in practical labs
Focus on low-resource and global health settings
Partnership case studies from three continents
Ideal for nurses, doctors, and IT professionals transitioning into informatics
Case studies from three continents and varied resource settings
Ideal foundation for health-tech product management roles

Assessment

Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.

Admission requirements

Academic entry

Bachelor's degree from an accredited institution (minimum 2:2 or GPA 2.5/4.0)
Healthcare or IT background preferred but not required

English language

English proficiency: IELTS 5.5, TOEFL 46, or equivalent (waived for prior English-medium study)

Documents

Statement of Purpose (500 words minimum) outlining your goals and fit for the programme
Two academic or professional references with contact details
CV or résumé documenting relevant education and professional experience

Programme questions

How long is the MSc Health Informatics?

The published duration is 24 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.

Can I study this from my country?

You may study this award fully online from your country, or — where published — on campus at Haverton. Online study does not require a student visa. Campus study may.

What does it cost?

Degree tuition for this award is published as £0 / tuition-free on the online pathway. All online degree examinations and certificates are 100% free and sponsored — the only cost for online study is the application fee. Campus tuition and campus examinations are charged separately. Check the Fees page for details.

What are the entry requirements?

Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.

How is the programme assessed?

Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.

Will this award be recognised where I live?

Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Haverton University publishes verification pages for certificates. We do not claim automatic equivalence in every country.

How do I apply?

Start an application on this website. Progress is saved from the first step. Admissions: admissions@haverton.org.

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