Studyportals
M.Sc. On Campus

Integrated Machine Learning Systems

University College London (UCL)

12 months
Duration
32100 GBP/year
16500 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This MSc Integrated Machine Learning Systems programme from University College London (UCL) teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. 

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

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:

  • 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

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details
    • 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.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

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-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.

Tuition Fee

To alway see correct tuition fees
  • International

    32100 GBP/year
    Tuition Fee
    Based on the tuition of 32100 GBP per year during 12 months.
  • National

    16500 GBP/year
    Tuition Fee
    Based on the tuition of 16500 GBP per year during 12 months.

Part time

  • UK: £8,250
  • International: £16,050

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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.

Our partners

Integrated Machine Learning Systems
-
University College London (UCL)

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