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UCL (University College London): Data Science and Machine Learning
Institution | UCL (University College London) View institution profile |
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Department | Computer Science |
Web | https://www.ucl.ac.uk |
Study type | Taught |
MSc
Summary
Become a changemaker in the world of data science and machine learning through one of the most established Master’s programmes in this field. The Data Science and Machine Learning MSc offers opportunities to study modules that span from artificial intelligence and deep learning to digital finance and probabilistic modelling, enabling you to craft a future career in a range of fields.
Level | RQF Level 7 |
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Entry requirements | A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, engineering, physicals, or statistics. Additionally, applicants must have knowledge of mathematical methods including linear algebra, calculus, probability and statistics at least at the level taught in the first year of a UK university undergraduate programme in the mathematical sciences. Relevant work experience may also be considered. Depending on the optional modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (e.g., Python) is useful. English level: Level 2 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
The Data Science and Machine Learning MSc at UCL brings together computational and statistical skills and machine learning for data-driven problem solving. This rapidly expanding area includes deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, engineering, physicals, or statistics. Additionally, applicants must have knowledge of mathematical methods including linear algebra, calculus, probability and statistics at least at the level taught in the first year of a UK university undergraduate programme in the mathematical sciences. Relevant work experience may also be considered. Depending on the optional modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (e.g., Python) is useful.English level: Level 2 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
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