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  1. Health Informatics
    1. 2016
    2. 2017

Health Informatics

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

Key Information

Start date

Autumn 2016

Duration

Full-time: 12 months, Part-time: up to 28 months (daytime)

UK/EU

Full-time: £9,000

Part-time: £4,500 per year

Non-EU

Full-time: £15,000

Part-time: £7,500 per year

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.

Accreditation

This course is accredited by The Chartered Institute for IT (BCS) for partial fulfilment of the academic requirement for Chartered IT Professional status.

Requirements and how to apply

Entry requirements

Applicants should hold an upper second class honours degree, the equivalent from an international institution or an equivalent professional qualification.Prior degrees should be in a medical or numerate subject, but other degree subjects or professional qualifications can be accepted if a candidate has subsequently had relevant health service or industrial experience.

Other suitable qualifications

If you do not qualify for direct entry, our partner INTO City University London offers academic preparation programmes which focus on the skills you need. Successful completion of the Graduate Diploma in Science and Engineering at INTO City University London means guaranteed progression to this degree.

English requirements

For those students whose first language is not English, one of the following qualifications is also required:

  • IELTS: 6.5 (minimum of 6.0 in all four test components)

Please note that due to changes in the UKVI's list of SELTs we are no longer able to accept TOEFL as evidence of English language for students who require a CAS as of April 2014.

INTO English Language Programmes

If you need to improve your English language skills before you enter this course, our partner, INTO City University London offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for entry to this degree. Please click the links below for more information.

English for Postgraduate Study

Pre-sessional English

Visa requirements

If you are not from the European Economic Area / Switzerland and you are coming to study in the UK, you may need to apply for a visa or entry clearance to come to the UK to study.

The way that you apply may vary depending on the length of your course. There are different rules for:

  • Students on courses of more than six months
  • Students on courses of less than six months
  • Students on a pre-sessional English language course.

If you require a Tier 4 student visa to study in the UK, you cannot undertake any City courses on a part-time basis.

For more information see our main Visa page.

How to apply

Thank you for having decided to apply to study a postgraduate course at the School of Mathematics Computer Science and Engineering. Please note that the deadline for application is 31st August 2016.

We invite all suitable applicants living within a 200-mile radius of London to an open and/or interview session; these are held monthly between March and July. Overseas and more distant applicants are sent a questionnaire, which may be supplemented by a telephone interview or email discussion. Such students are welcome to visit the Department if they are in or near London at some stage.

In order for your application to be given a full consideration, please ensure that you upload the following documentation with your application:

  • For all applicants, please upload your degree certificate and transcript of marks from your first degree (if you do not have your final results at the time of making your application please upload a provisional certificate/interim transcript of marks).
  • If you are not a native English speaker, or you have not been taught in English for your first degree subject, please upload Proof of English proficiency if you have already obtained it.
  • If you would require a Tier 4 student visa to undertake master studies in the UK, please upload a detailed personal statement outlining why you wish to study this specific course, at City University London, as well as explaining how your past studies have prepared you for this course and how it will help you to progress in your career.

If you are applying online you should note that confidential references are only acceptable as originals sent in signed and sealed envelopes by post to the address below. References attached as supporting documentation to an online application cannot be considered.

International students: it is important you submit your application to us in sufficient time for you to arrange your visa before the start of the course.

Postal applications and supporting documents

Alternatively, please send a completed paper application form, together with supporting documents, to:

Postgraduate Courses Offices
School of Mathematics, Computer Science & Engineering
City University London
Northampton Square
London
EC1V 0HB

Tel: +44 (0) 20 7040 0248
Email: smcsepg@city.ac.uk

Heritage
The longest established MSc in Health Informatics in Europe.
Employability
Successful track record of producing more than 350 highly employable graduates over the past 20 years.
Unique
The only MSc in Health Informatics in the UK to be accredited by the British Computer Science Society.

Funding

Explore up-to-date information about funding options, available financial support and typical living costs.

More about funding

Scholarships, bursaries and prizes

The School offers a range of generous scholarships, bursaries and prizes to applicants for this course:

Future Finance Loans

Future Finance offers students loans of between £2,500 and £40,000 to help cover tuition fees and living expenses. All students and courses are considered. All loans are subject to credit checks and approval for further details please visit the City Finance website.

Placements

Postgraduate students on a Computing and Information Systems course are offered the opportunity to complete up to six months of professional experience as part of their degree.

Our longstanding internship scheme gives students the chance to apply the knowledge and skills gained from their taught modules within a real business environment. An internship also provides students with professional development opportunities that enhance their technical skills and business knowledge.

Internships delivered by City University London offer an exceptional opportunity to help students stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing students to work full-time for up to six months. Students will be supported by our outstanding Professional Liaison Unit (PLU) should they wish to consider undertaking this route.

Benefits of completing an internship at City are:

  • Develop new skills - Internships offer on-the-job learning that will help enhance your skill set and add to your CV.
  • Exclusive opportunities - The PLU is a dedicated team of internship and professional development specialists. We hold longstanding relationships with a large range of employers and proactively seek out exclusive internship opportunities to suit your needs and interests.
  • Central point of contact - You will be assigned a Work-Based Learning Advisor who will provide help and support throughout the internship process, from applying to roles through to completion of your Masters.
  • Enhance your employability - Organisations are very keen to employ graduates with existing professional experience. It is common for internship providers to offer interns full-time positions on completion of their Masters.
  • Gain an insight into an organisation and industry - This will help you with future career planning.
  • Give you a head start in your chosen field - With the experience you gain, you may be able to enter an organisation at a higher level on completion of your studies.
  • Develop your network of professional contacts - This will be useful when you come to apply for positions and roles within your preferred area.
  • Earn while you learn - The majority of internships provide a competitive salary.

More information on postgraduate internships.

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.

Learn a language for free

We offer a free language course for City University London students.

Find out how to apply

Teaching and learning

The course is assessed by a mixture of coursework and examination, plus a project dissertation. Students successfully completing eight modules and the dissertation will be awarded a Master of Science (MSc) degree. All modules on this course are supported by the University's innovative online environment.

The course is available full time (12 months) and part time (up to 28 months; daytime study).

Students successfully completing eight modules and the dissertation will be awarded 180 credits and a masters level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight modules 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.

Each module is assessed through a combination of coursework and examination.

The timetables are for guidance only and are subject to change.

FULL-TIME study timetablePART-TIME study timetable
Semester 1YEAR 1, Semester 1
Clinical Records Monday morning Clinical Records Monday morning
Option 1 Monday afternoon Option 1 Monday afternoon
Information for Decisions in Healthcare Friday morning   
Research Methods and Professional Issues Friday afternoon YEAR 1, Semester 2
   Option 2 Tuesday
morning
   Data Analysis with Healthcare applications Tuesday afternoon
Semester 2YEAR 2, Semester 1
Option 2 Tuesday morning Information for Decisions in Healthcare Friday morning
Data Analysis with Healthcare Tuesday afternoon Research Methods and Professional Issues Friday afternoon
Telemedicine Friday morning   
Knowledge Management in Healthcare Friday afternoon YEAR 2, Semester 2
   Telemedicine Friday morning
   Knowledge management in Healthcare Friday afternoon

Modules

You will study six core modules and two elective modules. All modules are delivered through a combination of lectures, online activities and interactive workshops and tutorials. These include sessions delivered by guest lecturers from industry. Students also undertake an independent research project.

Taught Core Modules

Clinical Records

  • Demonstrate knowledge and understanding of the major practical issues associated with the capture and exchange of clinical data in medicine
  • Demonstrate a comprehensive understanding of the available techniques and technologies in relation to Electronic Health Records
  • Critically appreciate and evaluate the role standards, coding and terminologies in clinical records
  • Utilise a broad range of standards and techniques covered in the module and apply them to the specific clinical records systems.

Data Analysis with Healthcare

  • Summarise and tabulate healthcare data and display it graphically
  • Interpret the results of a statistical hypothesis tests
  • Undertake analysis of data and solve problems independently using standard statistical packages
  • Increased understanding of the output of appropriate statistical and related methods in the analysis of healthcare data.

Information for Decisions in Healthcare

  • Demonstrate a comprehensive knowledge of the role of information in relation to the decision making process in healthcare
  • Understand the role of formal methods to support the decision making process and the relative merits of alternative models
  • Understand the role of formal methods to support evaluation of decision making in complex settings
  • Demonstrate the use of models to support the decision making process which is informed, professional, considered and ethically sound.

Knowledge Management in Healthcare

  • Understand and fully appreciate the importance of knowledge representation for healthcare data
  • Demonstrate the ability to examine a health related problem and formulate a solution using the modern knowledge management and analytics methods presented in the module
  • Demonstrate the ability to apply suitable tools from the module to appropriate health related problems
  • Critically examine the success and failure of health related applications.

Telemedicine

  • Demonstrate a detailed understanding of the conceptual basis of telemedicine and its role in improving delivery of patient care
  • Understand the role of Telemedicine and in support services such as laboratory medicine and imaging services
  • Demonstrate a comprehensive understanding of the technical issues, parameters and standards relating to Telemedicine
  • Demonstrate a practical knowledge of the functioning of a variety of solutions such as mobile devices and wireless technology, sensors and the Internet of Things and cloud computing based around Telemedicine systems.

Research, Methods and Professional Issues

  • Acquire and develop skills for planning and carrying out independent, original research (which you will later apply when completing your independent research project)
  • Be able to use appropriate quantitative and qualitative techniques for data collection and analysis
  • Learn how to find, interpret, and use existing academic research as a basis for your research activity
  • Explore the legal, ethical and professional implications of applied work in the information and computer sciences and use this knowledge in your research.

Taught Elective Modules

Choose two options from the following:

Databases

  • Identify the key issues relating to the management of relational database systems and object-oriented database systems
  • Analyse data and document structures and model the logical structure of database systems using different data models
  • Create and query relational databases using SQL
  • Evaluate the new developments in data and document handling systems and understand their practical applications and implications.

Information Architecture

  • Evaluate website organization and navigation schemes
  • Create key design documents in the IA process
  • Understand techniques for web analytics, search, metadata and users' information-seeking behaviour
  • Demonstrate knowledge of content management and e-commerce systems.

Project Management

  • Demonstrate understanding of the key issues relating to IT project management
  • Evaluate project management aspects such as estimating, scheduling, resourcing, monitoring and controlling progress
  • Understand techniques for quality control and risk management
  • Discuss the wider context of change management and the organizational framework.

Programming with Java

  • Break down a problem into logical steps (an algorithm)
  • Interpret an existing Java program of moderate complexity by identifying its structure, state and behaviour
  • Create object oriented models of the real world
  • Convert algorithms and object-oriented models into clear, well documented Java; develop and share Java code as part of a team.

Practices and Theories in Interaction Design

  • Demonstrate detailed understanding of the importance of usability and the consequences of poor usability for interactive systems
  • Identify the theoretical foundations in cognitive psychology for human-computer interaction
  • Critically evaluate a user-centred design process for interactive systems, including analysis, design and evaluation activities
  • Understand and interpret HCI principles and guidelines, applying them to a variety of situations.

Recommended reading

You may wish to undertake some preparatory reading.

  • Shortliffe, E. (2103) Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics) (New York, Springer)
  • Oates, B.J. (2006) Researching Information Systems and Computing (Sage Publications)
  • Connolly, T. and Begg, C. (2004) Database systems: A practical approach to design, implementation and management - 3rd edition(London, Addison-Wesley)
  • Fleming, M.C. and Nellis, J.G. (2000) Principles of applied statistics - 2nd edition(Thompson Learning)

Note: module leaders may choose to use different or additional texts to the ones listed above.

  • Academic expert
    Senior Lecturer working in the School of Mathematics, Computer Science & Engineering.
  • Academic expert
    Lecturer in pervasive computing working in the School of Mathematics, Computer Science & Engineering.

Career prospects

Graduates are prepared for employment in health services (both state and private sectors) in the UK and overseas and in related healthcare industries and organisations.Students can participate in our professional placement programme, which is supported by the

Professional Liaison Unit. This allows students to undertake their final project within an industrial or research placement over an extended period of time.

You will have the knowledge and skills to enable you to play a significant part in an informatics-led health service designed to deliver effective care.

On graduation you will become a member of a world-wide alumni association, enabling you to be in touch with health informatics professionals at the leading edge of ICT implementation and application in healthcare.

Alumni jobs

Job title Company name
Application Analyst NHS
Associate Specialist Moorfields Eye Hospital
Clinical Support Technologist NHS
IT Manager St Andrew's Hospital Newham Healthcare Nhs Trust
Manager of Deployment Services Pharsight
Nuclear Medicine Technologist Queen Elizabeth Hospital Trust
PACS & RIS Manager Maidstone & Tunbridge Wells NHS Trust
Pharmacy Manager Hertfordshire Partnership Trust
Senior First Officer British Airways
Senior House Officer North Kent Health Care Trust
Senior Lecturer Anglia Rustin University
Senior Lecturer in Medical Informatics City University
Senior Registrar South Thames Region / N Survey Pct
SHO in Medicine Colchester General Hospital

Thank you for having decided to apply to study a postgraduate course at the School of Mathematics Computer Science and Engineering. Please note that the deadline for application is 31st August 2016.

We invite all suitable applicants living within a 200-mile radius of London to an open and/or interview session; these are held monthly between March and July. Overseas and more distant applicants are sent a questionnaire, which may be supplemented by a telephone interview or email discussion. Such students are welcome to visit the Department if they are in or near London at some stage.

In order for your application to be given a full consideration, please ensure that you upload the following documentation with your application:

  • For all applicants, please upload your degree certificate and transcript of marks from your first degree (if you do not have your final results at the time of making your application please upload a provisional certificate/interim transcript of marks).
  • If you are not a native English speaker, or you have not been taught in English for your first degree subject, please upload Proof of English proficiency if you have already obtained it.
  • If you would require a Tier 4 student visa to undertake master studies in the UK, please upload a detailed personal statement outlining why you wish to study this specific course, at City University London, as well as explaining how your past studies have prepared you for this course and how it will help you to progress in your career.

If you are applying online you should note that confidential references are only acceptable as originals sent in signed and sealed envelopes by post to the address below. References attached as supporting documentation to an online application cannot be considered.

International students: it is important you submit your application to us in sufficient time for you to arrange your visa before the start of the course.

Postal applications and supporting documents

Alternatively, please send a completed paper application form, together with supporting documents, to:

Postgraduate Courses Offices
School of Mathematics, Computer Science & Engineering
City University London
Northampton Square
London
EC1V 0HB

Tel: +44 (0) 20 7040 0248
Email: smcsepg@city.ac.uk

Contact details

Programmes Office (room A302)

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