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MSc Data Science and its Applications

University of Essex

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University of Essex

Course options

3 options available

  • Qualification

    MSc - Master of Science

  • Location

    University of Essex

  • Study mode

    Full time

  • Start date

    02-OCT-25

  • Duration

    1 Year

Course summary

Our MSc Data Science and its Applications is a conversion course specifically designed for students wanting to be part of our fast-growing digital economy but do not have the sufficient programming and statistics skills. This course you will place you at the core of data science with the application of theory and methods to real-world problems, specifically to use and exploit big data.

At Essex, the techniques we use to model and manipulate data guide the political, financial, and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses.

The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing, and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.

You cover topics such as:

  • Modelling experimental data
  • Machine learning and decision making
  • Applied statistics
  • Combinatorial optimisation
  • Statistical methods
  • Stochastic processes

The leading department on this course, 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. The Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophy and Art History, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.

Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. A successful career in data science requires you to possess truly interdisciplinary knowledge and our staff ensure that you graduate with a wide-ranging, yet specialised, set of skills in this area.

Data scientists are required in every sector, carrying out statistical analysis or mining data on social media. Our graduates are highly sought after by a range of businesses and organisations and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education, and other areas. Our recent graduates have gone onto work as data scientists and data analysts in both the private and public sectors.

We also offer supervision for PhD, MPhil, and MSc by Dissertation.

Tuition fees

Students living in Hong Kong
(International fees)

£ 21,700per 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, United Kingdom

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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