Overview
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.
Careers
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.
Employability
- University College London (UCL) 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.
Programme Structure
Courses included:
- Internet Protocol Networks
- Internet of Things
- Deep Learning for Natural Language Processing
- Entrepreneurship: Theory and Practice
- Cloud, Data Centres and Edge-Computing
- Security and Privacy
- Emerging Topics in Integrated Machine Learning Systems
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
-
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
- London, United Kingdom
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 396 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
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Other requirements
General 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
Tuition Fees
-
International Applies to you
Applies to youNon-residents39800 GBP / year≈ 39800 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents20500 GBP / year≈ 20500 GBP / year
Additional Details
Part time
UK: £10,250
International: £19,900
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Integrated Machine Learning Systems.
Available Scholarships
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