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MSc Computational Statistics and Machine Learning

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

Enhance your expertise in machine learning and statistics with one of the most established Master's programmes in this field. Our one-year Computational Statistics and Machine Learning MSc combines essential knowledge from both subjects, preparing you to excel in a data-rich world. With opportunities to study modules in collaboration with the prestigious Gatsby Computational Neuroscience Unit and Google DeepMind, this MSc is an exceptional opportunity to build your skills and expertise.

If you're aiming to excel in machine learning and statistics, whether in research or an industry role, this programme is for you. On this MSc, you'll develop deep expertise in both fields  essential for analysing, visualising, and measuring data.

Collaborating with UCL Statistical Science, this Master's leverages world-class research and teaching across computer science and statistics. You will study a range of modules that cover key elements of machine learning, computer science, and statistics.

With opportunities to learn from leading experts through modules taught alongside the Gatsby Computational Neuroscience Unit and Google DeepMind, you will gain cutting-edge knowledge. Additionally, you will undertake a substantial project with either an industry partner or an academic researcher.

This programme prepares you for a successful future in further research or as a machine learning or statistics practitioner, positioning you as part of the next generation of experts making a tangible impact on the world.

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.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Graduates from the department’s machine learning programmes have been employed at major tech and finance companies. Others have pursued further study, for example, at the universities of Cambridge, Helsinki, Chicago, and UCL, or gone on to a career in academia.

Employability

You will gain a variety of practical and theoretical skills in machine learning and computational statistics, providing multiple options in either research or industry.

If you are interested in pursuing a career in research or academia, the research project forms a useful step towards undertaking a PhD, as you will build on your research skills and connections with academics in the field.

Module Details

Compulsory modules

  • Supervised Learning
  • MSc Computational Statistics and Machine Learning Project
  • Statistical Models and Data Analysis

Optional modules

  • Graphical Models
  • Probabilistic and Unsupervised Learning
  • Open-Endedness and General Intelligence
  • Applied Machine Learning
  • Advanced Topics in Machine Learning
  • Approximate Inference and Learning in Probabilistic Models
  • Statistical Natural Language Processing
  • Reinforcement Learning
  • Machine Vision
  • Machine Learning Seminar
  • Bayesian Deep Learning
  • Applied Deep Learning

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