

MSc in Data Science
- Public University
School of Computer Science and Electronic Engineering
MSc in Data Science at Essex University Overview
International students can pursue MSc in Data Science at PG level at University of Essex. The duration of the course at the university is 12 months. 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 and PTE to be eligible for the course. The University of Essex tuition fee for international students for MSc in Data Science is around GBP 21,700 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 12 months Get Curriculum |
Tuition & Fees | ₹26.02 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc in Data Science at Essex University Fees
Students are required to pay the first-year tuition fee as per the University of Essex MSc in Data Science fee structure. In addition to tuition costs students should budget for
- housing
- food
- other utilities
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 26,02,047 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 7,14,304 |
| Insurance | INR 93,050 |
MSc in Data Science at Essex University Curriculum
Candidates can download and check-out the University of Essex MSc in Data Science here by clicking on the green button below. The curriculum PDF contains multiple information such as subjects taught, electives available and other course content. It also covers semester-wise course structure breakup.
Download exam sample paper
MSc in Data Science at Essex University Entry Requirements
- No specific cutoff mentioned
- 50%
- Read less
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A degree with an overall grade of between 50 to 55% OR 5.3 to 5.8/10 OR 2.12 to 2.32/4 depending on the degree institution
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We will consider applicants with a 2:2 degree in one of the following subjects:
- Mathematics,
- Statistics
- Operational research
- Computer Science
- Applied Mathematics
- Pure Mathematics
- Biostatistics
- Economic Statistics
- Statistics
- Economics
OR
A 2.2 degree in any subject which includes:
One module in:
- Calculus
- Maths
- Engineering Maths
- Advanced Maths
And one module in
- Statistics or Probability
- Maths
- Engineering Maths
- Advanced Maths
And one additional relevant module, from
- Algebra
- Analysis
- Programming language (R, Matlab or Python)
- A second module in Probability or Statistics
- Numerical Methods
- Complex Numbers
- Differential Equations
- Optimisation (Linear Programming)
- Regression
- Stochastic Process
- Maths
- Engineering Maths
- Advanced Maths
Applicants with a degree below 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience and previous modules studied.
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Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 50/90
- with 42 in each component

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 6/9
- Read less
- IELTS 6.0 overall with a minimum component score of 5.5
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
MSc in Data Science at Essex University Application Process
- Academic transcripts
- ELP is required
- Copy of passport is required
- Personal Statement is required
MSc in Data Science at Essex University Rankings
| Rank | Rank Publisher |
|---|---|
| #12 | |
| #29 | |
| #196 |
MSc in Data Science at Essex University Placements
| Particulars | Statistics (2024) |
|---|---|
| Internship Available | Yes |
University of EssexStudents Ratings & Reviews
- 40% students never faced discrimination in this university
MSc in Data Science at Essex University Highlights
- Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data.
- During the course, students will learn a a balance of solid theory and practical application including:
Computer science
Programming
Statistics
Data analysis
Probability - Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course can open the door to almost any industry, from health, to government, to publishing.
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