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Integrated Machine Learning Systems MSc

Integrated Machine Learning Systems MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

Course Summary

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. Students will learn about the principles of data acquisition including the sensors and devices used to capture the data; the principles of data analysis; machine learning technology; and the infrastructure used to transport, store, secure, and process data. Students will therefore also learn how to put together integrated systems that can acquire, process, and analyse data.

The MSc programme offers students a holistic view about machine learning technology, encompassing both the principles and practice of data acquisition, data analysis, and the infrastructure used to transport, store, secure and process data. It also offers students a wide range of hardware, software, and system skills, allowing them to develop upcoming machine learning systems supporting our economies and societies. This programme is delivered by world-leading academics in their respective fields, and is supported by state-of-the-art facilities and laboratories at the Electronic and Electrical Engineering Department at UCL. It is expected that the MSc will deliver professionals in the general field of integrated machine learning systems engineering that can be recruited by the burgeoning industry in the area, such as emerging start-ups or well-established companies that need to recruit engineers with the necessary skills to set-up systems to make sense of data. It is also expected that the MSc will deliver researchers that are well positioned to continue further doctoral studies.

Different course options

Full time | UCL (University College London) | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

Security and Privacy - Core
Seminars in 'Emerging Topics in Integrated Machine Learning Systems' - Core
Cloud, Data Centres and Edge-Computing - Core
Data Acquisition and Processing Systems - Core
Applied Machine Learning Systems II - Core
Applied Machine Learning Systems I - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£12,750

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£26,660

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have 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-level 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-level modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.