Integrated Machine Learning Systems MSc
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.
The English language level for this programme is: Level 1.
Further information can be found on our English language requirements page.
Pre-Master's and Pre-sessional EnglishUCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.
Months of entry
September
Course content
This MSc programme teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- MSc
- flexible60 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Phone
- +44 (0) 20 3370 1214