A master’s degree in data science lasts one to two years and is provided by a number of notable institutions in the United Kingdom. Applicants for this course must have a bachelor’s degree in physics, mathematics, economics, computer science, or statistics, or a related discipline of science.
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What is Data Science?
Data Science is an interdisciplinary subject that employs scientific procedures, techniques, systems, and algorithms to extract and apply actionable insights and information from structured, noisy, and unstructured data across a wide range of domains and applications.
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Masters In Data Science in UK Course Curriculum
Some courses taught to MS in Data Science graduates studying in UK are as follows:
- Databases and Data Management
- Technology
- Text Analytics
- Informatics Research Review
- Statistics and Optimization
- Business, and Society
- Informatics Project Proposal
- Visual Analytics
- Machine Learning
- Innovation
- Introduction to Artificial Intelligence
- Large-Scale Data Engineering
Specializations Available in Data Science in UK
Some of the popular specialisations for Masters in Data Science in UK are as follows:
- Machine Learning
- Pattern Recognition, Neural Network & Deep Learning
- Simulation
- Nature-Inspired Learning Algorithms
- Big Data Technologies
- Elements of Statistical Learning
- Statistics in Finance
- Network Theory
Masters In Data Science UK Admissions
Students with an undergraduate degree in computer science or related fields are eligible for this course. Some universities in the UK also consider other degrees such as cognitive science, electrical engineering, linguistics, mathematics, psychology, philosophy and physics.
Where to Apply: The majority of universities have their own application webpage where they accept applications for postgraduate programmes. The UCAS platform is also used by several universities to accept applications.
Best Universities in UK for Masters In Data Science
UK is one of the leading countries bringing the country to the forefront of artificial intelligence and data revolutionization.
Some of the top universities in the UK offering the MSc in Data Science course are as follows: –
- University of Edinburgh
- Kings College of London
- University of Manchester
- University of Bristol
- University of Glasgow
- University of Birmingham
- University of Sheffield
- University of Southampton
- Lancaster University
- University of Sussex
Masters In Data Science UK Fees
Fees for Masters in Data Science can vary from university to university.
The following table shows the total fee for the course from some of the top universities in the UK:
| University | Total fees (GBP) |
| University of Glasgow | 23,500 |
| University of Birmingham | 24,120 |
| University of Edinburgh | 32,500 |
| Kings College of London | 26,550 |
| University of Manchester | 22,500 |
| University of Bristol | 23,800 |
| Lancaster University | 22,550 |
| University of Sussex | 18,000 |
| University of Sheffield | 24,800 |
| University of Southampton | 25,450 |
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Masters In Data Science UK Cost
For an international student, the total cost can be split up into 3 pre-arrival expenses, tuition fees, and living costs.
Pre-arrival costs for an international student pursuing MS in Data Science in the UK can be split as the following:
| Type of Expenses | Cost (in GBP) |
| UK Student Visa Fee | 322 |
| UCAS Application Fee | 20 (for one course) |
| TOEFL (iBT) Registration Fee | 161 – 253 |
| Airfare | 439 – 550 |
| IELTS Registration Fee | 175 |
Masters In Data Science in UK Requirement and Eligibility
The following are the minimum criteria an international student must fulfil before pursuing Master’s in Data Science in the UK:
- Bachelor’s degree in computer science or relevant discipline.
- 2:1 undergraduate degree or minimum 60% at bachelor’s level for an international degree.
- GRE is not required.
- English proficiency test scores.
Along with these requirements, students are also requested to present the following documents along with their applications: –
- Copies of official transcript detailing the grades from every semester of their undergraduate degree
- Letter of recommendations (2-3 in number)
- Resume/CV detailing work experiences
- Statement of purpose/ Personal statement detailing the student’s motivation, goals and reasons for opting for this course
Masters In Data Science in UK Scholarships
A large number of scholarships are available for international opting to pursue their masters in UK. Apart from scholarships, students can also apply for loans for pursuing their further studies.
The following are some of the scholarships provided for the students studying Master of Science from various universities:
| Scholarship | University | Eligibility | Amount (GBP) |
| Sheffield Postgraduate Scholarships | University of Sheffield | Enrollment in masters | Tuition fee waiver |
| Kings International Scholarship | Kings College at London | Enrollment in postgraduate | 25,000 |
| College of Science and Engineering Scholarship | University of Glasgow | Enrollment in postgraduate | 10,000 |
| GREAT Scholarship | British Council; GREAT British Campaign | Masters student from China, India, Malaysia | Varies |
| Think Big Postgraduate Scholarship | University of Bristol | Enrollment in postgraduate | 5,000; 10,000; or 20,000 |
| John Fisher High Performance (HPC) Scholarships | University of Edinburgh | 60% or above in bachelors; Enrollment in School of Informatics master’s program | 50% or tuition fee waiver |
| Birmingham Masters Scholarship Scheme | University of Birmingham | Enrollment in masters | 2,000 |
| Chancellor’s International Scholarship | University of Sussex | International student enrolled in masters program | Tuition fee waiver |
| University’s Masters Scholarships | Lancaster University | Enrollment in taught masters program | 5,000 |
Career After Doing Masters in Data Science in UK
UK is a country with fast increase in demand for employees with specialist skills in fields of data.
The following are some of the jobs students can find work as after they graduate :
- Data Scientists and Advanced Analysts
- Analytics Managers
- Data Analysts
- Data Systems Developers
- Data-Driven Decision Makers
- Functional Analysts
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SOP for UK
The statement of purpose is an essay that gives the candidate an opportunity to present before the admission committee their goals and purposes. This can be used as a way to showcase their skills and talents that may not reflected on a transcript or resume. A good statement of purpose can make an application stand out even if the transcript scores are average.
The main aim of the statement of purpose is to highlight your motivation for your goals and course. The best ones are those were your individuality and personality should shine through the statement of purpose.
Your statement of purpose can include:
- Your motivation for the course.
- Your career goals, both short term and long term.
- Your academic profile
- Your work experiences
- Your interests to show other aspects of your personality.
- Your professional and academic accomplishments.
- Your interest in the course and how it will help in furthering your goals.
FAQs
Ans: Some of the top-ranking universities for MSc in Data Science in UK are Kings College of London, University of Bristol, University of Manchester, University of Glasgow and University of Edinburgh.
Ans: Cost of studying in the UK would include both tuition fees as well as living costs and the average tuition fee is approximately 23,000 GBP to 25,000 GBP per year for studying master’s in data science in the UK. Average living cost for an international student would be between 7,400 GBP to 15,000 GBP.
Ans: Full time course duration would be 1 year in the UK and a part time degree would take 2 years to be completed.
Ans: An undergraduate degree in a related field is required for admissions into MSc in Data Science in the UK. Other requirements such as IELTS/TOEFL are also necessary as proof of English proficiency.
Ans: There are many jobs a graduate with a Masters in Data Science can obtain such as Analytics Managers, Data Analysts, Data Scientists and Advanced Analysts, Data-Driven Decision Makers and Functional Analysts, Data Systems Developers etc after graduation.
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