12 months
Duration
35100 GBP/year
16500 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Data Science brings together computational and statistical skills for data-driven problem solving. This programme at University College London (UCL) will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.

Overview

The Data Science programme at University College London (UCL) combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling.

Students will take one compulsory module and up to two additional modules in computer science, with the remaining modules (including the research project) taken mainly from within statistical science.

What this course will give you

  • UCL Statistical Science has a broad range of research interests, but has particular strengths in the area of computational statistics and in the interface between statistics and computer science.
  • UCL's Centre for Computational Statistics and Machine Learning, in which many members of the department are active, has a programme of seminars, masterclasses and other events. 
  • UCL is one of the founding members of the Alan Turing Institute, and both UCL Statistical Science and UCL Computer Science will be playing major roles in this exciting new development which will make London a major focus for big data research.

Programme Structure

Courses include:

  • Machine Learning
  • Foundation Fortnight
  • Statistical Computing
  • Statistical Data Science
  • Graphical Models
  • Information Retrieval and Data Mining
  • Statistical Natural Language Processing
  • Forecasting
  • Decision and Risk
  • Applied Bayesian Methods

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details
    • We recommend you apply as soon as possible. The programme may remain open if places are still available and will be closed as soon as it's full or by 30 June.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard.
  • Knowledge of mathematical methods and linear algebra at university level is expected, along with evidence of familiarity with introductory probability, statistics and computer programming.
  • Prior experience in a high-level programming language (e.g. R/matlab/python) is a requirement. Relevant professional experience will also be taken into consideration.

Tuition Fee

To alway see correct tuition fees
  • International

    35100 GBP/year
    Tuition Fee
    Based on the tuition of 35100 GBP per year during 12 months.
  • National

    16500 GBP/year
    Tuition Fee
    Based on the tuition of 16500 GBP per year during 12 months.

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science
-
University College London (UCL)

Wishlist

Go to your profile page to get personalised recommendations!