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- Integrated Machine Learning Systems MSc
Course options
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Qualification
MSc - Master of Science
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Location
UCL (University College London)
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Study mode
Full time
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Start date
27-SEP-21
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Duration
1 year
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.
CareersIt 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.
EmployabilityStudents 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.
Application deadline
25/06/2021
Modules
Tuition fees
- United States
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£ 31,200per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
10th
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Campus address
UCL (University College London), Gower Street, London, Camden, WC1E 6BT, England
Subject rankings
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Subject ranking
20th out of 110 7
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Entry standards
/ Max 236170 71%18th
10 -
Graduate prospects
/ Max 10089 89%27th
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Student satisfaction
/ Max 53.68 74%100th
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