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Integrated Machine Learning Systems at UCL (University College London) - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Join us on this one-year MSc for a full immersion into principles of data acquisition, analysis, security, and infrastructure. You will develop the expertise to excel in integrated machine learning systems engineering across start-ups, established companies, and research institutions. Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.


Entry requirements

A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills. English level: Level 1


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Integrated Machine Learning Systems at UCL (University College London) - UCAS