

MSc in Applied Data Science
- Public University
MSc in Applied Data Science at Royal Holloway University of London Overview
The Royal Holloway University of London is a popular destination among international PG students interested in starting MSc in Applied Data Science from abroad. The program lasts for a duration of 12 months. The MSc in Applied Data Science program is considered part of the top ranked courses in UK. Candidates interested in pursuing the course must meet the eligibility criteria and secure valid scores in exams such as IELTS, PTE and Duolingo. The interested students should fill the form as soon as possible because the application window opens for a short time only. The first year tuition fee for MSc in Applied Data Science at Royal Holloway University of London is around GBP 27,100. Students must also plan for some other additional costs over the duration of studies such as rent, groceries, books, health insurance, etc. The average estimated cost of living at Royal Holloway University of London is around GBP 5,961.
Duration | 12 months |
Tuition & Fees | ₹31.45 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc in Applied Data Science at Royal Holloway University of London Fees
For enrolling at the Royal Holloway University of London, for MSc in Applied Data Science, students must pay the tuition and living cost. Moreover, the Royal Holloway University of London MSc in Applied Data Science fee structure can vary from domestic to international students.
International students must pay the GBP 27,100 for the first year. Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. The average Royal Holloway University of London cost of living for international students is GBP 5,961. Check out Royal Holloway University of London MSc in Applied Data Science on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 31,44,955 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 6,91,774 |
| Transportation | INR 1,16,050 |
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MSc in Applied Data Science at Royal Holloway University of London Entry Requirements
- No specific cutoff mentioned
- 55%
- Read less
- Applicant must have 2:2 or equivalent bachelors degree
- Applicants must have an overall grade between a 55% to 65%.
- students from a wide variety of subject backgrounds on this conversion course Candidates with professional qualifications or relevant professional experience in an associated area will also be considered.
- STEM subjects: Accounting, Aeronautical and Aerospace Engineering, Architecture, Artificial Intelligence, Astronomy, Biological Sciences, Biomedical Sciences, Chemical Engineering, Chemistry, Civil Engineering, Computer Science, Economics, Electrical and Electronic Engineering, Finance, Information Technology, Mathematics, Mechanical Engineering, Medicine, Natural Sciences, Paramedic Science, Pharmacology and Pharmacy, Physics, Psychology, Statistics, Web Development.
- Applicants should have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate degree or professional experience.

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 61/90
- With score in Writing of 54 and no subscore lower than 51

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 6.5/9
- With no subscore lower than 5.5
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 115/160
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- With no sub-score below 100 in Literacy 110 in comprehension and 95 in conversation and productions
- Take Duolingo English Test from your home, in just 1 hour and get results in 2 days. 70% cheaper than other English Tests. Register now for Duolingo
- Yes
- University offers a conditional offer to undergraduate students
MSc in Applied Data Science at Royal Holloway University of London Application Process
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Final or interim transcript of results with English translations
- Final Degree Certificate with English translations
- Proof of English language proficiency
- Personal statement
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Portfolio, Research proposal or writing examples where specified in the application form
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Work experience if relevant
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Passport for those in need of a student visa
MSc in Applied Data Science at Royal Holloway University of London Rankings
| Rank | Rank Publisher |
|---|---|
| #35 | |
| #79 | |
| #401 |
MSc in Applied Data Science at Royal Holloway University of London Placements
MSc in Applied Data Science at Royal Holloway University of London Highlights
- 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 them for a career in the growing data science industry where there is significant demand for skilled personnel, both in the UK and internationally.
- The course introduces students to a variety of languages essential to data science, including Python, and how to use different software packages such as scikit-learn.
- As students develop their understanding of how a wide variety of data science methods work, including clustering, regression, decision trees, and neural networks, they will learn how to apply them through hands-on examples from real-world settings.
- Students will gain the technical expertise to work with data and design and implement data analysis to find smart solutions for real-world problems and 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.
MSc in Applied Data Science at Royal Holloway University of London Scholarships
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