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Applied Data Science MSc

Royal Holloway, University of London

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Royal Holloway, University of London

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    Royal Holloway, University of London

  • Study mode

    Full time

  • Start date

    14-SEP-26

  • Duration

    1 Year

Course summary

Every second, huge amounts of information are generated. MSc Applied Data Science gives you the practical skills to unlock the power of data and work in this data-driven world. How can AI and machine learning help us make better decisions in healthcare, finance and beyond? You’ll learn key techniques in data analysis and explore the ethical and social impact of data use. Study with pioneers in AI. Royal Holloway has been instrumental in developing the Conformal Prediction methods that provide reliable confidence measures for machine learning models. You’ll work with real-world datasets, building hands-on skills in Python programming, data visualisation, statistics, and software tools used across the industry.

Tuition fees

Students living in United States
(International fees)

£ 29,300per 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 image

Royal Holloway, University of London

Royal Holloway, University of London

  • University League Table

    42nd

  • Campus address

    Royal Holloway, University of London, Royal Holloway, University of London Egham Hill, Egham, Surrey, TW20 0EX, United Kingdom

VIEW PROFILE
Royal Holloway offers dedicated wellbeing, academic and financial support to international students.
Almost a third of students are from outside the UK, meaning there’s a welcoming and strong international spirit on campus.
Royal Holloway partners with local and global industry, culture and governments, leading to first-class career opportunities for you after you graduate.

Subject rankings

  • Subject ranking

    Computer Science

    29th out of 118 5

  • Entry standards

    / Max 229
    121 53%

    52nd

  • Graduate prospects

    / Max 100
    85.0 85%

    33rd

    15

  • Student satisfaction

    / Max 4
    3.04 76%

    69th

    33

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