Data science is positioned to be the major new arena of scientific discovery in the 21st century. As Eric Schimdt, CEO of Google, has pointed out, we now generate as much information every two days as we did from the dawn of human civilisation up until the year 2003.
To cope with this vast amount of data, there is an urgent requirement to derive meaningful insights from very large and diverse data sources: the so-called 'big data challenge'. Secure identification of individuals, accurate financial prediction and reliable cancer diagnosis are all examples of area in which the technologies underpinning data science are marketing revolutionary contributions, enriching our lives, and making our future healthier, more efficient and more secure.
The MSc by Research (Data Science) provides an opportunity for students who wish undertake an individual real-world big-data research project; you can choose a project area from a wide variety of interdisciplinary domains, including business information systems, e-health, social media, cloud computing, smart homes, intelligent vehicles and ambient assisted living.
We currently have supervisors available in:
Mathematics and statistics
Smart sensors (for ambient assisted living and smart homes)
The MSc by Research (Data Science) aims to bring together, in an interdisciplinary fashion, data science-related activities from across the University, centring on the core activities of machine-learning, visual analytics and data storage. These will work together to support applications-driven data scenarios.
To support the interdisciplinary nature of this programme, you will have a core activity supervisor (machine learning, visual analytics), as well as a supervisor specialising in your chosen application area.
This degree is an entirely research-based master's programme. The majority of your time will be spent working on your research project in the library, laboratories or elsewhere, under the direction of your supervisors.
Alongside your independent study, you will also have tutorial lectures in the key areas of machine learning and visual analytics. You will have regular meetings with your supervisor to review progress and plan future activities. You may also spend brief periods at partner sites, for example where your project involves collaboration with industry.
Full-time students are expected to attend for an average of 35 hours per week and part-time students for an average of 12 hours per week.
Assessment will be based on a final dissertation of approximately 30,000 words. Two independent examiners will be appointed who will read and evaluate the dissertation, following which you will be invited to make an oral defence of your work.
What are the entry requirements for the MSc by Research (Data Science)?
A second class honours degree in a science-based discipline
Entry is subject to the proposed project being acceptable
Each application will be considered on its individual merits.
UK/EU and international students are eligible to apply for this course.
Academic credit for previous study or experience
If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.
International entry requirements
We accept the equivalent of the above qualifications from a recognised overseas qualification. To find out more about the qualifications we accept from your country please visit the relevant Support in your country page.
If you are unsure about the suitability of your qualifications or would like help with your application, please contact your nearest Regional office for support.
Visas and immigration
You will not need a visa to study in the UK if you are a citizen of the European Union, Iceland, Liechtenstein, Norway or Switzerland. If you are a national of any other country you may need a visa to study in the UK. Please see our Visas and immigration page for further information.
English language requirements for international students
You must have competence in English language to study with us. The most commonly accepted evidence of English language ability is IELTS 6.5 (with minimum 6.0 in all components). We also normally require Grade C GCSE or an equivalent qualification. Visit our English language requirements page for a full list of accepted tests and qualifications.
This degree is specifically designed to equip graduates with the knowledge and skills required to fulfil large corporate data requirements, and allow you to progress to the post of data scientist.
Data scientists are responsible for extracting understanding from large quantities of data, by building generalised models of trends within unstructured, heterogeneous 'big data'. Examining data from multiple sources, data scientists seek to explore patterns and discover trends, and translate these into insights and predictions which will support business decision-making, and solve business problems.
Data scientists are sought after in a broad variety of sectors, including – but by no means limited to – healthcare, broadcast, security, education, and intelligent transport.
Our Employability Service can help you to develop your employability skills and get some valuable work experience. We provide workshops, events and one-to-one support with job hunting, CVs, covering letters, interviews and networking. We also support you in securing part-time work, placements, internships, and volunteering opportunities, and offer an enterprise support service for those looking to start their own business.
To apply for the MSc by Research (Data Science) you will need to
write a research proposal on one of the specified application areas for which a supervisor is available. We currently have supervisors available in:
*Machine learning *Visual analytics *Mathematics and statistics *Smart sensors (for ambient assisted living and smart homes) *Numerical algorithms (especially computational geometry) *Artificial intelligence *Ethics of technology *Psychology *Business information systems and business informatics *Robust software/system development *Networking *Ethics *Marketing *Operations management *Enterprise and economic development *Education *Design
Select the appropriate application form from the bottom of this page.
Gather the following compulsory supporting documents, in electronic format:
all your academic documentation (including transcripts and certificates);
your sponsorship letter (if you are not paying your own fees);
your IELTS or other equivalent English Language certificates (if your first language is not English).
Email your research proposal, application form and all compulsory supporting documents to: firstname.lastname@example.org.
You can start your MSc by Research at three specific times of the year. These are September 15th, January 15th and May 15th. In order to start at a particular time you must apply by the previous entry point. For example, if you want to start October 15th, please apply by May 15th.
If your application is suitable, you will be invited for interview (in person or by Skype) within two and a half months of your date of application.
Candidates already based in the UK who wish to enrol on this MSc by Research may also apply by the the last day of July using our online application.
Please contact Dr Windridge by email to email@example.com or to Dr Kai Xu by email to firstname.lastname@example.org for further information on this course,
As part of your application, you will need to provide a research proposal. In this, you identify the specific area of research within data science that interests you.
Your proposal should be three to four pages of A4 and should include the following:
a working title;
a general outline of your intended research area including a brief mention of work already carried out in the field;
the central research question(s) of your proposal;
a discussion of your proposed research methodologies such as empirical investigation, practical work, interviews, analysis;
an indication of the principal issues, problems, controversies, ethical issues, models and theories raised in your thesis;
a list of sources (or kinds of sources) which you intend to consult;
a brief bibliography.
Research proposals usually identify a gap in the literature, which you intend to fill. In your proposal, you should demonstrate that you have found an issue that needs to be investigated and the reasons why you feel it is important.