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MPhil Data Science

University of Essex

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University of Essex

Course options

5 options available

  • Qualification

    MPhil - Master of Philosophy

  • Location

    University of Essex

  • Study mode

    Full time

  • Start date

    OCT

  • Duration

    2 Years

Course summary

Our MPhil Data Science is an advanced research degree within our Department of Mathematical Sciences, and we have staff members available to act as supervisors across several areas within data science. Possible areas of research include artificial intelligence, classification/supervised learning, clustering/unsupervised learning, data science education, deep learning, industry 4.0, information retrieval, mathematical foundations of data science, multidimensional scaling, optimisation, and statistical learning. If you’re interested in doing a data science research degree at Essex, contact our department to discuss potential research areas.

Our staff are strongly committed to excellence in research and excellence in education. Our Department of Mathematical Sciences (DMS) and our School and Computer Science and Electronic Engineering (CSEE) have introduced undergraduates and postgraduate courses in data science since 2014.

The University of Essex is a leading institution worldwide on Data Science Education. DMS has strong track record on Knowledge Transfer Partnerships (KTP) with data-driven industries, for example: Profusion, Mondaq, MSXI and Ocado. DMS has two research groups: Data Science and Mathematics.

Our Department of Mathematical Sciences is genuinely innovative, and student focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

  • Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care, and education.
  • We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
  • We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
  • Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
  • Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
  • We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.

Your future

Many of our former PhD students have gone on to work as academics in prominent institutions across the world, such as the University of Bristol, University of Cambridge, University of Nottingham, and many other international universities. Some have also remained at the University of Essex, working as postdoctoral research fellows, research impact officers, or lecturers.

Other graduates have joined organisations like the Met Office, the Ministry of Defence, and companies based in the City of London. There is a high demand for data science experts in all sectors of the economy, so our graduates are sought after in the UK and abroad.

Tuition fees

Students living in United States
(International fees)

£ 18,750per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Essex

University of Essex

  • University League Table

    30th

  • Campus address

    University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQ, England

VIEW PROFILE
The careers team offer dedicated international careers advice and support throughout studies and after graduation.
Central London is easily accessible from all of the university's campuses.
Gain access to the curriculum from nine European universities through the YUFE (Young Universities for the Future of Europe) virtual campus.

Subject rankings

  • Subject ranking

    Computer Science

    41st out of 117 5

    42nd out of 65 1

  • Entry standards

    / Max 227
    134 59%

    49th

  • Graduate prospects

    / Max 100
    90.0 90%

    28th

    15

  • Student satisfaction

    / Max 4
    3.00 75%

    63rd

    32

  • Entry standards

    / Max 234
    132 56%

    46th

  • Graduate prospects

    / Max 100
    85.0 85%

    17th

    9

  • Student satisfaction

    / Max 4
    3.00 75%

    48th

    11

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