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
- Starting
- Apply before
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- Starting
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Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
- 15 UCL credits, 7.5 ECTS, 4 US
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data Data Analytics View 63 other Short Courses in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
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
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International Applies to you
Applies to youNon-residents2995 GBP / full≈ 2995 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents2995 GBP / full≈ 2995 GBP / full
Additional Details
- One Session: £2,995
- Both Sessions: £4,995
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.