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  Computational Statistics and Machine Learning MSc


University College London    Faculty of Engineering Sciences

Full time September MSc 1 year full time
Computer Science (8) Mathematics (25)

FindAMasters summary

Unleash your potential with the Computational Statistics and Machine Learning MSc at UCL. Dive deep into the realms of machine learning and statistics, equipping yourself with the expertise to excel in a data-driven world. Collaborate with renowned institutions like the Gatsby Computational Neuroscience Unit and Google DeepMind, enhancing your knowledge under the guidance of world-class experts. This programme offers a comprehensive curriculum covering essential aspects of machine learning, computer science, and statistics, culminating in a substantial industry or research project. Ideal for individuals with a strong background in quantitative subjects, the programme requires proficiency in mathematics, statistics, linear algebra, and multivariable calculus. Benefit from UCL's prestigious ranking globally and its strong industry connections, paving the way for a successful career in tech, finance, academia, or research. Join us to become a part of the future generation of machine learning pioneers, making a tangible impact on the world.

About the course

Register your interest in graduate study at UCL

Deepen your expertise in machine learning and statistics through one of the most established Master’s programmes in this field. The Computational Statistics and Machine Learning MSc brings together vital knowledge in both subjects, enabling you to thrive as an expert in a data rich world. With opportunities to study modules run in collaboration with the esteemed Gatsby Computational Neuroscience Unit and Google DeepMind, this is an exceptional place to build your expertise.

About this degree

While machine learning is continually changing the face of industrial and societal processes, statistics enables machine learning practitioners to analyse, visualise and measure data.

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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, electrical engineering, or physicals sciences. Additionally, applicants must be comfortable with undergraduate level mathematics, in particular statistics at an intermediate undergraduate level, and be proficient in linear algebra and multivariable calculus. Relevant work experience may also be considered.




Fees

UK tuition fees (2024/25)
Full-time: £19,300

Overseas tuition fees (2024/25)
Full-time: £37,500

 Course Content

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