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Certificate On Campus

Data Science and Big Data Analytics UCL

Highlights
Tuition fee
2995 GBP / full
2995 GBP / full
Unknown
Tuition fee
2995 GBP / full
2995 GBP / full
Unknown
Duration
19 days
Duration
19 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
London, United Kingdom
Campus location
London, United Kingdom
Taught in
English
Taught in
English

About

The Data Science and Big Data Analytics course from UCL Summer School will introduce you to the most fundamental data analytic tools and techniques and learn how to use specialised software to analyse real-world data and answer policy-relevant questions. This course is offered in two sessions: Session One: Monday 29 June – Friday 17 July 2026.Session Two: Monday 20 July – Friday 7 August 2026

Overview

Data science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise and computer programming.

One of the main challenges for businesses and policymakers when using big data is to find people with the appropriate skills.

Learning outcomes

By the end of the Data Science and Big Data Analytics course from UCL Summer School, students will have:

  • Described and explained key concepts, skills and tools used in the field of data science to deal with big data problems.
  • Demonstrated how to work with different data sources and formats and generated suitable R code to perform advanced data manipulation.
  • Applied a suitable range of techniques to explore and visualise large and complex datasets taken from a range of contexts and research areas.
  • Constructed statistical models for regression and classification, including methods such as multivariate regression, KNN, LDA and decision tree analysis.
  • Selected appropriate methods to validate, optimise and measure the performance of different statistical methods, and assessed, evaluated and summarised the results.

Programme Structure

Courses include:

  • Probability framework and statistical inference
  • Linear regression models
  • Classification models
  • Resampling methods
  • Model selection

Key information

Duration

  • Full-time
    • 19 days

Start dates & application deadlines

Language

English
Duolingo English Test
115
PTE Academic
75
IELTS
6.5

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  • 4.9/5 student rating

Credits

15 alternative credits
  • 15 UCL credits, 7.5 ECTS, 4 US

Delivered

On Campus

Campus Location

  • London, United Kingdom

What students do after studying

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Academic requirements

GPA admission requirements GPA
Upper Second Class

English requirements

Duolingo English Test
115
PTE Academic
75
IELTS
6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation
Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

  • Trusted by 300k learners
  • 98 accuracy using real exam data
  • 4.9/5 student rating

Other requirements

General requirements

  • IELTS (Academic) at least 6.5 overall and 6.0 in each component or equivalent

You will normally be able to demonstrate an average grade, or equivalent academic experience, of:

  • 2:1 for most modules
  • 2:2 for lower-level modules, if you are in or beyond second year at university.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    2995 GBP / full
    2995 GBP / full
  • Domestic

    Citizens or residents
    2995 GBP / full
    2995 GBP / full

Additional Details

  • One Session: £2,995
  • Both Sessions: £4,995

Living costs

London

United Kingdom
1137 - 2157 GBP / month

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

Funding

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