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Masters Degrees in Health Informatics, London, United Kingdom

We have 7 Masters Degrees in Health Informatics, London, United Kingdom

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Today's society faces the challenge of providing high-quality, patient-centred, sustainable and affordable healthcare, in an environment of increased demand and scarce resources. Read more

Today's society faces the challenge of providing high-quality, patient-centred, sustainable and affordable healthcare, in an environment of increased demand and scarce resources. The Health Informatics MSc at UCL aims to form future leaders who will address this challenge, transforming healthcare delivery through the use of information and communication technologies.

About this degree

Our graduates are professionals able to effectively engage with clinicians, managers, patients and policymakers, with the necessary skills and tools to harness healthcare information for improving clinical practice and service delivery. They possess the knowledge about healthcare problems, the concepts used to analyse them and the principles that govern the successful engineering, application and evaluation of solutions.

Students undertake modules to the value of 180 credits.

The programme consists of one core module (15 credits), seven optional modules (105 credits) and a research project (60 credits).

A Postgraduate Diploma (120 credits, flexible study 2-5 years) is offered.

A Postgraduate Certificate (60 credits, flexible study over a period of two years) is offered.

Core modules

  • Principles of Health Informatics

Optional modules

  • Research Methods in Healthcare
  • Information Systems in Healthcare
  • Electronic Health Records
  • Patient Safety and Clinical Risk
  • Clinical Decision Support Systems
  • eHealth: Patients and the Internet
  • Information Law and Governance in Clinical Practice
  • Learning Health Systems
  • Principles of Health Data Analytics
  • Principles of Health Data Science*
  • Data Methods for Health Research*
  • Machine Learning in Healthcare & Biomedicine*

*Full-time MSc students have option to share Data Science for Research in Health & Biomedicine modules

Dissertation/report

All MSc students undertake an independent research project, normally based at their place of work, which culminates in a piece of work written in the style of a journal article.

Teaching and learning

The programme is taught by 'blended learning', and therefore includes interactive online teaching and face-to-face lectures, seminars and workshops including substantial use of examples of real clinical systems. Assessment is through examination, critical evaluations, technical tasks, coursework and project reports, compulsory programming and database assignments, and the dissertation.

Further information on modules and degree structure is available on the department website: Health Informatics MSc

Careers

Health informatics is a subject of growing importance, with exciting career development prospects for clinicians, managers, administrators and technologists. The main areas where our graduates find employment are business intelligence, information management, project and programme management, informatics analysts and directors, quality and service improvement management.

Recent career destinations for this degree

  • Business & Performance Manager, Camden & Islington NHS FT
  • Business Intelligence Analyst, Hinchingbrooke Hospital (NHS)
  • Commissioning Manager, NHS South Tees Clinical Commissioning Group
  • Programme Manager, NHS Wakefield Clinical Commissioning Group (CCG)
  • Project Manager, Cambridge University Hospitals NHS Foundation Trust

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The MSc in Health Informatics at UCL is taught by a team of specialists within the UCL Institute of Health Informatics, and understanding how information technologies can be harnessed for improving the delivery of care is central to their academic mission. UCL is at the centre of a vast network of clinical collaborators and houses probably the largest concentration of health informatics expertise in the UK.

The institute conducts world-leading research and our teaching, which is research based, focuses on areas such as electronic healthcare records, decision support systems, consumer health informatics, and clinical and applied bioinformatics.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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The longest established MSc in Health Informatics in Europe, focusing on cutting-edge skills for delivering informatics-led healthcare. Read more
The longest established MSc in Health Informatics in Europe, focusing on cutting-edge skills for delivering informatics-led healthcare.

Who is it for?

This course is for health professionals who wish to enhance their careers with an informatics qualification, and computer scientists, engineers and others with relevant technical or professional qualifications who wish to move into a successful career involving the application of informatics in the health service.

You will have a keen interest in developing high-quality and sustainable healthcare through the application of informatics solutions and a desire to be part of the newest and fastest growing specialty in health care.

Objectives

The Health Informatics MSc at City University London aims to develop future leaders in the field who will transform healthcare with informatics-led approaches.

High-quality teaching is a healthy balance of theory and practice, with a strong focus on real-world applications including EHR systems, clinical data analytics, mobile technology and telemedicine. University teaching is supported by guest lectures from medicine and industry and you will also benefit from City University's central location close to many hospitals. Further, you will be part of a highly multi-professional and strongly international cohort bringing together multiple points of view on national and international computerized healthcare initiatives.

Health Informatics at City University London is the only such MSc in the UK to be accredited by the British Computer Science Society.

Academic facilities

Lectures, tutorials and workshops are delivered in small classrooms equipped with state-of-the-art interactive technologies. The University’s computer science laboratories are equipped with modern and up-to-date hardware and software required for you to progress through your studies.

Teaching and learning

High-quality teaching is delivered by research-active academic experts in Health Informatics from City University London. Furthermore university teaching is supported by guest lectures from medicine and industry.

Teaching is a healthy balance of theory and practice, with a strong focus on real-world applications including EHR systems, clinical data analytics, mobile technology and telemedicine. You will also undertake an independent research project.

All taught modules are delivered through a combination of lectures, online activities and interactive workshops and tutorials and are supported by the University's online learning environment.

Taught modules are generally assessed through a combination of coursework and examination where coursework is worth 30% of the final mark and the examination contributes 70%. Some elective modules are 100% coursework based (e.g. Information Architecture and Project Management). See the full programme specification for details.

The taught component of the MSc is worth 66.67% (eight 15-credit modules) and the independent research project is worth 33.33% (60 credits).

Upon successful completion of eight modules and the independent research project, you will be awarded 180 credits and a masters level qualification. Alternatively, if you do not complete the dissertation but have successfully completed eight modules you will be awarded 120 credits and a postgraduate diploma. Successful completion of four modules (60 credits) will lead to the award of a postgraduate certificate.

Modules

You will study six core modules and two elective modules. You will also undertake an independent research project.

A full time student is expected to commit 35 hours a week which includes attendance at lectures, tutorials and workshops, and independent study on coursework, the individual research project and preparation for examinations.

Taught Core Modules
-Clinical Records
-Data Analysis with Healthcare
-Information for Decisions in Healthcare
-Knowledge Management in Healthcare
-Telemedicine
-Research, Methods and Professional Issues

Taught Elective Modules - choose two options from the following:
-Databases
-Information Architecture
-Project Management
-Programming with Java
-Practices and Theories in Interaction Design

Career prospects

Graduates pursue successful careers in the health service (both state and private sectors in the UK and overseas), and in related healthcare industries such as Electronic Health Record providers.

Specifically graduates have pursued roles such as application analysts, IT project managers, data and taxonomy managers, digital transformation leads, PACS & RIS managers and research informatics programme managers. Other graduates have successfully completed PhD degrees.

The course has a successful track record of producing more than 350 employable graduates over the past 20 years.

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This course is ideal for graduates who love to work in a role that connects computing and biology, medicine, or healthcare, and have an analytical and inquisitive mind. Read more

This course is ideal for graduates who love to work in a role that connects computing and biology, medicine, or healthcare, and have an analytical and inquisitive mind.

Our school of School of Computing and Engineering has developed partnerships, such as Amazon allowing our students to gain vital industry skills in:

• integration with big data

• cloud computing

• cyber-security.

This course has been structured with the modern healthcare sector in mind, providing you with the opportunity to gain comprehensive ICT skills required by the sector.

Course detail

We aim to develop future leaders through increasing your knowledge and skills in:

• how to manage and analyse large scale, individual and personalised health data

• ethics and governance issues around health data

• big Data (statistical and machine-learning) methods

• the healthcare context, processes and environment

• clinical and biological problems

• healthcare system integration (HL7 messages)

• informatics project management/change management

• exposing you to a range of health information systems and technologies

Modules

  • Research Methods 
  • Supervised Research Project
  • Information Systems in Healthcare 
  • Knowledge Management 
  • Data Architecture 

Option modules

  • Leadership and Management Competence in Healthcare 
  • Information Systems in Healthcare 
  • HCI for Information Systems 
  • Data Management in Healthcare 
  • Programming Support 
  • Dissertation in Health Informatics 
  • Public Health Perspectives 
  • Measuring Public Health and Wellbeing 
  • Knowledge Management 

Career and study progression

This course will thoroughly prepare you for a wide range of careers as a health informatics or Bioinformatics practitioner in the public and private sectors, including:

• clinical informatics

• personalised Medicine

• clinical bioinformatics

• education and training

• health records and patient administrators

• information and communication technology

• information management

• libraries and knowledge management

• project and programme management.

On successful completion of this course you can pursue further study at MPhil and PhD level.

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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Information systems, when used effectively, can give a business or organisation the competitive edge. They can also transform businesses, restructure organisations and streamline business processes. Read more
Information systems, when used effectively, can give a business or organisation the competitive edge. They can also transform businesses, restructure organisations and streamline business processes. This course seeks to address the shortage of people who can operate at the interface of business and IT, and offers the chance to study a spectrum of relevant business and technical subjects.

Key features

-The career-enhancing programme is designed to build on your previous experience and education and allow you to tailor your learning to suit your individual career development, industry background and requirements of your organisation.
-An industrial advisory board advises on all aspects of the curriculum to ensure that new concepts are introduced and that the course continues to meet the needs of business and industry.
-The Health Information Management pathway is more than health informatics, and aims to produce future leaders in health information management.

What will you study?

You will study the design, development and management of information systems to enable you to recognise and accommodate the increased rate of change and instability in the business and information environment created by social, economic, political and technical changes. You will gain an understanding of how information is used within an organisation, who uses it, the nature of the information, how it relates to decision making and how it contributes to organisational goals and objectives.

The effective use of health information systems has the potential to dramatically improve health services. There is a strong demand for well-qualified information professionals in a wide range of health-related settings; this course is designed to produce talented and visionary leaders to shape the future health information strategy and successfully lead health informatics projects and teams.

Teaching focuses on the knowledge and skills that will be required by the NHS Information Strategy, preparing you for managerial positions in hospitals, practice management and primary care.

You will develop management and leadership skills by studying the fundamental concepts of business, financial resource management, health information strategy, health information governance, systems analysis and design, analysis and presentation of health data and database design and management. You will have the opportunity to improve your practical skills so that you can plan and manage complex health informatics projects and implement changes within the evolving healthcare environment. Throughout the course you will consider the impact of health information systems upon individuals and teams within the healthcare environment.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Modules
-Modelling Enterprise Architectures
-Data Management and Governance
-Health Information Strategy Data Analysis and Presentation
-Business in Practice
-Project Dissertation

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The UCL programme in Data Science for Research in Health and Biomedicine covers computational and statistical methods as applied to problems in data-intensive medical research. Read more

The UCL programme in Data Science for Research in Health and Biomedicine covers computational and statistical methods as applied to problems in data-intensive medical research. Students learn techniques that are transforming medical research and creating exciting new commercial opportunities. Our recent graduates, many of whom begin paid internships while completing the MSc, have moved on to roles in industry and academia.

About this degree

Students learn how to link and analyse large complex datasets. They design and carry out complex and innovative clinical research studies that take advantage of the increasing amount of available data about the health, behaviour and genetic make-up of small and large populations. The content is drawn from epidemiology, computer science, statistics and other fields, including genetics.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma (120 credits) is offered.

A Postgraduate Certificate (60 credits) is offered.

Core modules

  • Principles of Epidemiology Applied to Electronic Health Records Research
  • Data Management for Health Research
  • Statistics for Epidemiology and Public Health
  • Statistical Methods in Epidemiology
  • Topics in Health Data Science

Optional modules

  • Advanced Statistics for Records Research
  • Database Systems
  • Information Retrieval and Data Mining
  • Principles of Health Informatics
  • Machine Learning in Healthcare and Biomedicine
  • Statistics for Interpreting Genetic Data
  • Electronic Health Records
  • Clinical Decision Support Systems

Dissertation/report

All students undertake an independent research project which culminates in a dissertation. Project Proposal 20% (2,000 words); Journal Article 80% (6,000 words).

Teaching and learning

The programme is delivered by clinicians, statisticians and computer scientists from UCL, including leading figures in data science. We use a combination of lectures, practical classes and seminars. A mixture of assessment methods is used including examinations and coursework.

Further information on modules and degree structure is available on the department website: Data Science for Research in Health and Biomedicine MSc

Careers

Students on this programme will be passionate about research and know that, in the 21st century, some of the most exciting, stimulating and productive research is carried out using large collections of data acquired in big collaborative endeavours or major public or private initiatives. We hope that graduates will build on that passion and, together with the experience gained on the programme, will go one to develop careers as entrepreneurs, scientists and managers, working in industry, academia and healthcare.

Employability

The programme is designed to meet a need, identified by the funders of health research and by a number of industrial organisations and healthcare agencies, for training in the creation, management and analysis of large datasets. This programme is practical, cross-disciplinary and closely linked to cutting-edge research and practice at UCL and UCL’s partner organisations. Data science is arguably the most rapidly growing field of employment at the moment and employers recruiting in health data science include government agencies, technology companies, consulting and research firms as well as scientific organisations. A number of employers are supporting the programme in different ways, including providing paid internships to selected students.

Why study this degree at UCL?

Data science is an exciting area with a dynamic job market, including in healthcare. Our graduates have gone on to work for a range of companies, including large research organisations and small start-ups, while others are working in health care or pursuing their interests in universities.

The lecturers on this programme are international experts in health data science and students will learn about cutting-edge research projects. The collaboration is part of the Farr Institute, a network of centres of excellence created to enhance the UK’s strength in data-intensive research. This MSc will draw on that collaboration, giving students access to the most advanced research in the field.

We work closely with a range of employing organisations to ensure that our graduates have the best possible preparation for a career in data science. This includes offering industry-sponsored dissertations for selected students.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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Healthcare professionals wishing to extend their understanding of issues relating to quality, information and safety are encouraged to apply for this specialised pathway. Read more
Healthcare professionals wishing to extend their understanding of issues relating to quality, information and safety are encouraged to apply for this specialised pathway. Teaching is delivered by specialists in their field and a student advisor supports students in selecting modules and in reviewing their personal development plan and career goals.

Degree information

Students explore various facets of healthcare quality with an emphasis on the role of information evidence, regulation and safe practice. They develop insights into the challenges of managing high-quality service delivery change, and confidence to tackle the complex job of improving patient care. Implicit in the selection of modules is the acquisition of skills and knowledge relevant to a student’s day-to-day professional life.

Students undertake modules to the value of 60 credits.

The programme consists of one core module (15 credits), and three optional modules (45 credits).

Core modules
-Healthcare Quality and Evidence Based Practice

Optional modules - choose three from the following:
-Healthcare Associated Infection Prevention, Control and Organisational Aspects
-Information Law and Governance
-Leadership and Professional Development
-Legal and Regulatory Aspects of Healthcare Associated Infection Control
-Litigation, Complaints and Concerns: Raising Clinical Standards
-Patient Safety and Clinical Risk
-Quality Improvement in Healthcare
-Research Methods in Healthcare

Teaching and learning
Some modules are taught by full distance learnnig. Other modules are delivered through blended learning, combining formal contact time with academic staff, research fellows and guest speakers, and interactive online study using the virtual learning environment. The amount and timing of campous attendance varies between modules - see module library for details. Assessment varies according to the modules selected but is primarily via coursework.

Careers

The programme offers practitioners a focused education and training, which chimes with the NHS's commitment to incorporate elements of clinical governance, quality assurance, health informatics, and change management into continuing professional development curricula for both clinicians and managers.

Employability
Increasingly employers are advertising posts with job titles which include the terms 'patient safety', 'risk', 'quality' and 'clinical governance'. This award is aimed at clinical professionals who have taken on a new role in their organisation with a remit for safety and quality or who are seeking to shift their career in this direction. The skills and knowledge acquired from this certificate will assist students in furthering their career in this expanding field.

Why study this degree at UCL?

This new specialised Health and Medical Sciences pathway focuses on key topics relating to quality, information and safety, and equips students with the professional skills needed in modern healthcare settings.

The programme offers the opportunity to study at a time and place convenient to your own circumstances making it feasible to combine study and full-time work.

It provides access to a range of modules relating to quality, governance, information and safety, as well as opportunities to interact with a range of senior academics and professional experts drawn from across UCL and beyond.

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If you're looking for a career in the fight against cancer - this is the course for you. This full-time MRes offers two research projects to give your future career in cancer biology a boost. Read more

Research training at the computational/clinical translational science interface

If you're looking for a career in the fight against cancer - this is the course for you. This full-time MRes offers two research projects to give your future career in cancer biology a boost. With two streams on offer – Cancer Biology, and Cancer Informatics – we have the options available for you to choose the best way for you to use your life-sciences degree to meet your objective. We will provide you with a broad-training in research as well as theoretical and practical skills to help you take the next step in your career.

Streams

There are two streams available:

•Cancer Biology - http://www.imperial.ac.uk/medicine/study/postgraduate/masters-programmes/mres-cancer-biology/
•Cancer Informatics - http://www.imperial.ac.uk/medicine/study/postgraduate/masters-programmes/mres-cancer-biology-cancer-informatics/

Is this programme for you?

You will engage with both theoretical and practical elements. The theoretical elements will include why particular methods are used, assumptions they are based on and understanding the technical limitations and quality control of different data types. The practical elements will include data handling and the computational method employed for each data type.

When you enter your projects, you will perform novel bioinformatics-based research, accumulate experimental findings and exercise critical scientific thought in the interpretation of those findings. The research projects may also include a smaller component of wet-lab experiments to provide some validation of the findings from the bioinformatics research.

You will need to be an independent person, who is looking for a challenge. If you're not afraid of hard work, then we would welcome an application from you.

Application

Decisions on applications are made in batches, with the following deadlines for each batch:
•09:00 GMT (UTC) Tuesday, 31 January 2017
•09:00 BST (UTC+1) Wednesday, 26 April 2017
•09:00 BST (UTC+1) Monday, 31 July 2017

You will receive notification of a conditional offer or rejection in the weeks following these deadlines. If you do not hear from us, it is because you have been placed on the waiting list. We withhold the right to close application early, so ensure that you submit your application sooner, rather than later.

Please note that we are unable to consider your application without at least one academic reference from your most recent institution.

Programme structure

The course comprises an initial four/five week taught component in which the cellular and molecular basis of cancer biology are covered, plus an introduction to the clinical and pathological aspects of carcinogenesis. This information is contained within the lectures which will partly be on the lecturer's own research, making use of the excellent researchers we have within Imperial College London. Within this period will also be a series of workshops covering key transferable skills such as oral presentation of scientific data and grant writing. This is shared with the Cancer Biology stream.

While the Cancer Biology stream move into their first project, you will receive three weeks of specialist training in informatics which is comprised of lectures and workshops. You will then complete an initial assignment before beginning your first research placement of roughly 16 weeks, and then a second project of roughly 20 weeks. These will be within the recently created Imperial College Cancer Research UK Centre, the Faculty of Medicine at the Hammersmith Hospital campus of Imperial College, and other collaborating institutes across London (e.g. Institute of Clinical Sciences, The Francis Crick Institute).

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