

MSc Data Science and Analytics
- Public University
MSc Data Science and Analytics at Royal Holloway University of London Overview
International students can pursue MSc Data Science and Analytics at PG level at Royal Holloway University of London. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, PTE and Duolingo to be eligible for the course. The University fees for international students for MSc Data Science and Analytics is around GBP 28,500 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- Supplies
- Utilities, etc.
Duration | 1 year |
Tuition & Fees | ₹35.90 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc Data Science and Analytics at Royal Holloway University of London Fees
When planning for the MSc Data Science and Analytics, applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of GBP 28,500. Additionally it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the Royal Holloway University of London. However, accordingly to the official website the average cost of living that international students have to bear is GBP 6,627, annually. To know about the complete breakdown of the Royal Holloway University of London MSc Data Science and Analytics fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 35,90,422 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,12,073 |
| Insurance | INR 95,091 |
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MSc Data Science and Analytics at Royal Holloway University of London Entry Requirements
- No specific cutoff mentioned
- 60%
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- UK 2:1 UG Honours degree or equivalent in Computer Engineering, Computing, Computer Science Engineering, Software Engineering, Maths and Phsyics or other subjects that include a strong element of Maths, Physics & other Engineering excluding Civil, Mechanical, Material & Biomedical Engineering.
- Applicants with professional qualifications or relevant professional experience in associated area will also be considered.
- Applicants must have UG degree with 60-65% overall or CGPA of 6.0-6.5 out of 10 overall depending on the institution.

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 88/120
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- with Reading 18 Listening 17 Speaking 20 Writing 17
- Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL

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- Marks - 67/90
- No subscore lower than 59
- Marks - 6.5/9
- 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 - 120/160
- no sub-score below 100
MSc Data Science and Analytics at Royal Holloway University of London Application Process
MSc Data Science and Analytics at Royal Holloway University of London Rankings
| Rank | Rank Publisher |
|---|---|
| #35 | |
| #79 | |
| #197 |
MSc Data Science and Analytics at Royal Holloway University of London Placements
Royal Holloway University of LondonStudents Ratings & Reviews
- 100% students never faced discrimination in this university
MSc Data Science and Analytics at Royal Holloway University of London Highlights
- This flexible programme gives students the chance to tailor their learning to their own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing scope and variety
- Students will be well-equipped to continue their studies at PhD level, which will place them in a strong position to pursue more advanced, research-based roles after graduation
- Skills that students will acquire include the ability to:
>work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
>work with structured, unstructured, and time-series data
>work with software packages such as MATLAB and R
>design data processing solutions for data-intensive analytics problems
MSc Data Science and Analytics at Royal Holloway University of London Scholarships
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