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Master of Science in Applied Data Science Royal Holloway,University of London Royal Holloway,University of London, UK

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GBP 28500

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

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12 months

Duration

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6.5

IELTS

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55%

Min GPA

Program Overview

MSc Applied Data Science is a new masters designed for those wanting to learn the skills required to gain insights from data.

The conversion course enables students with little prior exposure to computing to develop expertise and valuable skills that will prepare you for a career in the growing data science industry where there is significant demand for skilled personnel, both in the UK and internationally. (Students with an interest in cyber security may also consider our combined MSc Applied Data Science and Cyber Security). The importance of data science grows year on year, with sectors including healthcare, manufacturing, retail, finance and others reliant on the insights that accurate data capture and analysis can provide.

The course introduces you to a variety of languages essential to data science, including Python, and how to use different software packages such as scikit-learn. As you develop your understanding of how a wide variety of data science methods work, including clustering, regression, decision trees, and neural networks, you will learn how to apply them through hands-on examples from real-world settings.

Throughout your studies you’ll acquire the skills to work with large datasets, interpret and communicate results in the presence of bias and uncertainty, and build your range of soft skills for making presentations and writing.

You will gain the technical expertise to work with data and design and implement data analysis to find smart solutions for real-world problems. You will also explore the multitude of ethical, social, and political issues, the implication of artificial intelligence and advanced computing, and acquire the skills to analyse and critically evaluate ethical issues.

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Additional Information

Program Level Master's Degree

College/University Processing Time 28 Days

Program Format Full-Time

Post-Study Work Visa (PSWV) work permit

Program Intake

Open

Jan 2025

Closed

Sep 2024

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted into this program, applicants must have a Bachelor's Degree.

    6.5 IELTS Score
    61 PTE Score Minimum Overall Score
    55% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    28500

    Tuition Fee
    (GBP)

     Free

    Application Fee
    (GBP)

    12006 Per year

    Average Cost of Living
    (GBP)

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

    Check program website for more information about funding options.

    Scholarships

    Scholarships

    We award our scholarships competitively, usually based on your academic achievements, as well as your scholarship statement. We also offer a number of scholarships aimed specifically at groups currently underrepresented in higher education. You can apply for as many scholarships as you are eligible for.

    • Rising Stars Scholarship
    • Sanctuary Scholarship
    • The Gentian Scholarship for Access
    • International Future Leaders Scholarship
    • Elaine Etherton Scholarship
    • Santander Widening Access Scholarship
    • Reed Innovation Scholarship
    • Barbara Raw Scholarships for English
    • Barbara Raw English Scholarship for Black UK students
    • Donald Davies Computer Science Scholarship
    • EU Fee Reduction Scholarship
    • Music scholarships
    • Sports scholarships
    • The Geospatial Scholarship Fund (external funding)
    • UKNEST Science & Engineering Scholarship (external funding)

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