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MSc Artificial Intelligence for Engineering

University of Sheffield

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Main Site

  • Study mode

    Full time

  • Start date

    28-SEP-26

  • Duration

    1 Year

Course summary

As the need and scope for robots, smart machines and real-time systems in society grows, so does the market for those trained in autonomous and intelligent systems.The course covers all major aspects of these control and systems engineering with an emphasis on system autonomy and intelligence.As you progress, you’ll develop an extensive understanding of artificial intelligence, machine learning, autonomous agents, real-time intelligent systems and intelligent control theory.You’ll get hands-on experience working with various types of data, hardware and software and you’ll have the opportunity to build a system from scratch using the specialist labs in the University. You’ll be able to take optional modules, including a choice to work with companies to work on real opportunities and problems experienced by industry.You will also work on a research-level dissertation project of your own where you’ll be able to pick an area you are passionate about and develop a solution to a real world problem in the area.

Application deadline

04/09/2026

Tuition fees

Students living in United States
(International fees)

£ 32,905per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Sheffield

  • University League Table

    13th

  • Campus address

    Main Site, Western Bank, Sheffield, South Yorkshire, S10 2TN, United Kingdom

With 28,000 students from over 150 countries, Sheffield is a diverse, welcoming city that's celebrated for its safety, strong sense of community, and culture.
The university offers a range of scholarships for international students.
Ranked in the UK top 20 (Complete University Guide 2025), Sheffield is a leading university for research and teaching.

Subject rankings

  • Subject ranking

    15th out of 118 2

    4th out of 32 1

  • Entry standards

    / Max 229
    168 73%

    16th

  • Graduate prospects

    / Max 100
    79.0 79%

    46th

    28
  • Student satisfaction

    / Max 5
    3.11 78%

    39th

    25
  • Entry standards

    / Max 221
    193 87%

    3rd

  • Graduate prospects

    / Max 100
    84.0 84%

    12th

    4
  • Student satisfaction

    / Max 5
    3.50 88%

    1st

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