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  1. Health Informatics
    1. 2017
    2. 2016
Courses

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

October 2017

Duration

Full-time: 12 months
Part-time: 28 months

UK/EU

Full-time: £9,000

Part-time: £4,500 per year

Non-EU

Full-time: £15,000

Part-time: £7,500 per year

Application period

From October 2016

Until September 2017. A maximum of 40 students will be accepted onto the course in 2017; we encourage early applications.

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 British Computer Society and the NHS Information Authority.

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 or clinical qualification.

Other suitable qualifications

If you do not qualify for direct entry, you may wish to follow a Graduate Diploma pathway to the programme through one of our partners.

INTO City, University of London

Don't meet the entry requirements? INTO City, University of London offers a range of academic and English language programmes to help prepare you for study at City, University of London. You'll learn from experienced teachers in a dedicated international study centre.

These programmes are designed for international students who do not meet the required academic and English language requirements for direct entry. To prepare for this degree course, learn more about the Graduate Diploma in Informatics - Science and Engineering.

English requirements

For overseas students whose first language is not English, the following qualification is required:

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

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.

English language programmes

Don't meet the English language requirements? INTO City, University of London offers English language programmes to help prepare you for study at university. These intensive and flexible courses are designed to improve your English ability for entry to degree courses. Learn more about INTO's English for University Study programme.

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 applications for the 2017/18 academic year is 31st August 2017.

Please note a maximum of 40 students will be accepted onto the course in 2017/18, in order to ensure a staff-student ratio that facilitates high-quality education. As such we encourage applicants to send their applications well in advance of the deadline.

In order for your application to be considered, 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). A transcript is required in order to have your application processed.
  • If your first language is not English, or you require a Tier 4 visa to study in the UK, please upload a Proof of English Proficiency if you have already obtained it. A list of accepted qualifications can be found here.
  • If you require a Tier 4 student visa to undertake a Master's programme 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 for a Part-time course, or have relevant work experience relating to the degree you are applying for, please upload a copy of your current CV/resume.

You can apply in the following ways:

Postal applications and supporting documents

We encourage online applications, however if you are unable to do this, please send a completed paper application form, together with supporting documents, to:

Postgraduate Courses Office, A302
School of Mathematics, Computer Science & Engineering
City, University of London
Northampton Square
London
EC1V 0HB

Contact information for the Postgraduate Team

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

If a student leaves City after commencing but before completing their course, City reserves the right to charge the student the tuition/course fee for the full academic year (or full course for capacity limited post-graduate courses - up to a maximum of 2 years fees) in question. The student may be charged the full fee for that year or course as applicable unless the student is able to present justification that exceptional and unforeseeable reasons for their withdrawal exist.

How to pay

City has introduced an instalment payment scheme which is available to certain categories of students, including taught postgraduate students. For students following the normal academic year, the annual fee may be paid in two equal instalments: the first on registering, the second on 31st January. If you wish to pay your fees by instalment you must pay the first instalment at or before registration, by cheque or credit/debit card. You must also supply your bank details or credit card details for payment of your second instalment which will be deducted automatically from your bank or credit card account on 31st January.

Funding

For up-to-date information about tuition fees, living costs and financial support, visit Postgraduate Fees and Finance.

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.

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 of London students.

Find out how to apply

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.

A sample timetable from a previous year is given below. Please note the timetable is for guidance only and is 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. 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

  • 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 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.

Application Deadline

September 2017. A maximum of 40 students will be accepted onto the course in 2017; we encourage early applications.


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 applications for the 2017/18 academic year is 31st August 2017.

Please note a maximum of 40 students will be accepted onto the course in 2017/18, in order to ensure a staff-student ratio that facilitates high-quality education. As such we encourage applicants to send their applications well in advance of the deadline.

In order for your application to be considered, 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). A transcript is required in order to have your application processed.
  • If your first language is not English, or you require a Tier 4 visa to study in the UK, please upload a Proof of English Proficiency if you have already obtained it. A list of accepted qualifications can be found here.
  • If you require a Tier 4 student visa to undertake a Master's programme 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 for a Part-time course, or have relevant work experience relating to the degree you are applying for, please upload a copy of your current CV/resume.

You can apply in the following ways:

Postal applications and supporting documents

We encourage online applications, however if you are unable to do this, please send a completed paper application form, together with supporting documents, to:

Postgraduate Courses Office, A302
School of Mathematics, Computer Science & Engineering
City, University of London
Northampton Square
London
EC1V 0HB

Contact information for the Postgraduate Team

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

Contact details

Programmes Office (room A302)

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City, University of London is an independent member institution of the University of London. Established by Royal Charter in 1836, the University of London consists of 18 independent member institutions with outstanding global reputations and several prestigious central academic bodies and activities.