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MSc Machine Learning

University of Southampton

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University of Southampton

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    Highfield Campus

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 Year

Course summary

Develop an expertise in machine learning and artificial intelligence on this MSc Machine Learning course. /p>You’ll focus on the latest research in deep learning and reinforcement learning and carry out projects to validate and extend this research./p>This masters in machine learning provides a strong theoretical foundation while emphasising practical applications, to enable you to develop advanced AI systems and solve real-world challenges. You’ll be able to work in areas that interest you, from medical imaging to audio scene understanding to robotics applications./p>The course starts with the mathematical and theoretical foundations of machine learning before going on to look at state-of-the-art research in deep learning, natural language processing, and reinforcement learning./p>You'll be taught and supervised by internationally renowned Machine Learning and AI researchers, and have opportunities to understand, and potentially even contribute to, their research. You'll also be taught to use state-of-the-art tools used widely both in research and industry./p>

Application deadline

02/09/2026

Tuition fees

Students living in United States
(International fees)

£ 35,000per 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 Southampton

University of Southampton

University of Southampton

  • University League Table

    15th

  • Campus address

    Main Site - Highfield Campus, University Road , Highfield, Southampton, Hampshire, SO17 1BJ, United Kingdom

VIEW PROFILE
Southampton is proud of its inclusive international community, welcoming over 9,000 students from more than 140 countries.
The Career Advantage scheme gives career support to international students, from when you accept your offer to long after graduation.
Prepares international students for their future in the global job market. Get specialist careers support, paid internships and work experience opportunities.

Subject rankings

  • Subject ranking

    Computer Science

    12th out of 118 2

  • Entry standards

    / Max 229
    174 76%

    14th

  • Graduate prospects

    / Max 100
    91.0 91%

    12th

    6

  • Student satisfaction

    / Max 4
    2.92 73%

    103rd

    18

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