The Integrated Machine Learning Systems programme from University College London (UCL) 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.
It is expected that this 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 this MSc will deliver researchers that are well positioned to continue further doctoral studies.
Students will acquire a wide range of theoretical and practical knowledge and skills in the general area of integrated machine learning systems, including in data acquisition, data analysis, and the infrastructure used to transport, store, secure and process data.
In particular, students will be exposed both to the principles and practice of machine learning systems, including the hardware, software and network components underpinning such systems.
Students will therefore be well positioned to pursue a wide range of careers in industry or academia upon completion of this programme.
- Applied Machine Learning Systems
- Data Acquisition and Processing Systems
- Cloud, Data Centres and Edge-Computing
- Security and Privacy
- Emerging Topics in Integrated Machine Learning Systems
- Internet of Things
- Internet Multimedia Systems
- Introduction to Internet Protocol Networks
- 12 months
- 24 months
Start dates & application deadlines
- Apply before
- We recommend you apply as soon as possible. The programme may remain open if places are still available and will be closed as soon as it is full or by 30 June.
DisciplinesComputer Sciences Artificial Intelligence Machine Learning View 256 other Masters in Artificial Intelligence in United Kingdom
- 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.
International32100 GBP/yearTuition FeeBased on the tuition of 32100 GBP per year during 12 months.
National16500 GBP/yearTuition FeeBased on the tuition of 16500 GBP per year during 12 months.
- UK: £8,250
- International: £16,050
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.