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Where clinical care meets digital innovation
Online or on campus
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.
Faculty spotlight
Dr. Aisha Okonkwo, former NHS clinical informatics lead, teaches EHR implementation; Professor Emma Laurent researches low-bandwidth telemedicine architectures.
Study online
Online tuition is free. Online examinations are free. There is no exam fee for online study.
On-campus study
Prefer to learn at our Edinburgh campus? Campus tuition and campus examinations are charged. The published campus price is on each programme page.
| Code | Course | Credits · hours |
|---|---|---|
| HI501 | Introduction to Health Informatics Introduction to Health Informatics (HI501) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using Introduction to Health Informatics as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 3 · 30 h |
| HI502 | Clinical Workflow & Process Analysis Clinical Workflow & Process Analysis (HI502) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using Clinical Workflow & Process Analysis as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 3 · 30 h |
| HI503 | Health Data Standards (HL7, FHIR, SNOMED) Health Data Standards (HL7, FHIR, SNOMED) (HI503) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Health Data Standards (HL7, FHIR, SNOMED) as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 3 · 30 h |
| HI504 | Biostatistics & Epidemiology Biostatistics & Epidemiology (HI504) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Biostatistics & Epidemiology as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 3 · 30 h |
| Code | Course | Credits · hours |
|---|---|---|
| HI505 | Electronic Health Records & Implementation Electronic Health Records & Implementation (HI505) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using Electronic Health Records & Implementation as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 3 · 30 h |
| HI506 | Health Information Exchange & Interoperability Health Information Exchange & Interoperability (HI506) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using Health Information Exchange & Interoperability as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 3 · 30 h |
| HI507 | Clinical Decision Support Systems Clinical Decision Support Systems (HI507) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using Clinical Decision Support Systems as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 3 · 30 h |
| HI508 | Health Data Privacy & Governance Health Data Privacy & Governance (HI508) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can map one named system, write a threat model, and specify the controls that would stop the most likely path, using Health Data Privacy & Governance as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses control catalogues, incident write-ups, and a short technical standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a defensive design with a test plan and a statement of residual risk. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 3 · 30 h |
| Code | Course | Credits · hours |
|---|---|---|
| HI601 | Population Health Analytics Population Health Analytics (HI601) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Population Health Analytics as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 3 · 30 h |
| HI602 | Digital Health Innovation Digital Health Innovation (HI602) is a 3-credit course on MSc Health Informatics, with 30 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using Digital Health Innovation as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 3 · 30 h |
| HI603 | MSc Health Informatics Capstone MSc Health Informatics Capstone (HI603) is a 6-credit course on MSc Health Informatics, with 60 notional learning hours. By the end, students can describe how people, records, and decisions move through one service, and separate cause from harm, using MSc Health Informatics Capstone as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a pathway description, an incident summary, and an information standard. Seminar time is for the decision, not for reading the materials aloud. Assessment is a brief a service manager could use, with the evidence attached. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a licence to practise nursing, medicine, or any other clinical profession.
| 6 · 60 h |
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.
The published duration is 24 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
You may study this award fully online from your country, or — where published — on campus at Brigant. Online study does not require a student visa. Campus study may.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
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.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. University of Brigant publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@brigant.uk.
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