

Data Science and Public Policy (Political Science) MSc
- Public University
Data Science and Public Policy (Political Science) MSc at UCL University Overview
One of the most famous programs at University College London is Data Science and Public Policy (Political Science) MSc at PG course with the duration of 12 months. Indian students applying for Data Science and Public Policy (Political Science) MSc program must submit all the required documents as per university guidelines. Indian students must submit proof of English proficiency exams such as IELTS, TOEFL, PTE and Duolingo. Indian students must apply as soon as possible, as the seats are limited. University College London tuition fee for first-year is Pound 32,100 (INR 4,150,530).
Duration | 12 months |
Tuition & Fees | ₹41.13 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Data Science and Public Policy (Political Science) MSc at UCL University Fees
For enrolling at the University College London, for Data Science and Public Policy (Political Science) MSc, students must pay the tuition and living cost. Moreover, the University College London Data Science and Public Policy (Political Science) MSc fee structure can vary from domestic to international students.
International students must pay the Pound 32,100 (INR 4,150,530) 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. Check out University College London Data Science and Public Policy (Political Science) MSc on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 41,13,467 |
Download exam sample paper
Data Science and Public Policy (Political Science) MSc at UCL University Entry Requirements
- No specific cutoff mentioned
- 60%
- Read less
- Students should have any of the following from a recognized institution
- A UG degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60 percent where a GPA scale is not used
- The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken
- Applicant should have a minimum of an upper second class UG degree from a UK university or an overseas qualification of an equal standard
- All applicants must provide evidence of successfully completing at least one advanced module in quantitative methods, statistics, data science or econometrics during their UG degree
- Relevant practical or work experience in a related field may also be taken into account
- For example, this might include
- At least two years of experience working in a public sector organisation, a think tank, an international-governmental organisation, or in a public-policy consultancy role; or
- Ii) at least two years of experience working in a data-science role

Calculate your score and check your eligibility at over 2000+ universities.
- No specific cutoff mentioned

Calculate your score and check your eligibility at over 2000+ universities.
- No specific cutoff mentioned
- Marks - 7.5/9
- a minimum of 7.0 in each component
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
Data Science and Public Policy (Political Science) MSc at UCL University Rankings
| Rank | Rank Publisher |
|---|---|
| #13 | |
| #14 | |
| #3 |
University College LondonStudents Ratings & Reviews
- 65% students never faced discrimination in this university
Data Science and Public Policy (Political Science) MSc at UCL University Highlights
- This course is offered by University College London
Data Science and Public Policy (Political Science) MSc at UCL University Scholarships
Resources for you
Learn the process in simple steps with these guides handpicked for youExplore courses offered by UCL University
Other Courses offered by UCL University
About the author




