To flourish in big data and develop analytical skills, students in the UK can pursue a full-time post-graduate MS in Data Science degree. The course length ranges from one to two years, based on the curriculum and credit requirements of the institution. There are several incentives to study this degree because of the organizations’ increasing need for data scientists. More than 30 institutes in the UK provide more than 54 courses.
Best Masters in Data Science Colleges in UK
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PictureUniversity NameTop ElectivesUniversity Details
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University of SouthamptonMSc Data ScienceCampus- Offline
Tuition Fees- GBP 32,300
IELTS- 6.5
GPA- 2.0 or higher
QS World Ranking- 82
Placement rate- 96%
Acceptance rate- 80% -
University of EdinburghMSc Data ScienceCampus- Offline
Tuition Fees- GBP 27000
IELTS- 6.5
GPA- 2.0 or higher
QS World Ranking- 27
Placement rate- 93%
Acceptance rate- 10% -
King’s College LondonMSc Data ScienceCampus- Offline
Tuition Fees- GBP 31,080
IELTS- 6.5
GPA- 2.0 or higher. QS World Ranking- 40 Placement rate- 90% Acceptance rate- 13% -
The University of ManchesterMSc Data ScienceCampus- Offline
Tuition Fees- GBP 31,000
IELTS- 6.5
GPA- 3.0 or higher
QS World Ranking- 34
Placement rate- 90%
Acceptance rate- 27% -
University of BristolMSc Data ScienceCampus- Offline
Tuition Fees- GBP 34,200
IELTS- 6.5
GPA- 2.0 or higher
QS World Ranking- 54
Placement rate- 94%
Acceptance rate- 46% -
University of GlasgowMSc Data ScienceCampus- Offline
Tuition Fees- GBP 31860
IELTS- 6.5
GPA- 2.0 or higher
QS World Ranking- 78
Placement rate- 95%
Acceptance rate- 50% -
University of BirminghamMSc in Data ScienceCampus- Offline
Tuition Fees- GBP 27,540
IELTS- 6.5
GPA- 2.0 or higher
QS World Ranking- 80
Placement rate- 86%
Acceptance rate- 15% -
Coventry UniversityMSc Data ScienceCampus- Offline
Tuition Fees- GBP 27,500
IELTS- 6.5
GPA- 2.0 or higher
QS World Ranking- 105
Placement rate- 95%
Acceptance rate- 14%
Why Choose a Master in Data Science in UK?
The UK has seen a remarkable 231% increase in demand for data scientists and engineers over the previous five years. Moreover, 13 million GBP has been set aside for efforts related to AI, data analytics, and related fields. The UK is a great place to pursue a PhD with specializations in AI, data science, big data, and related topics, thanks to a considerable investment of 45 million GBP into 200 PhD programs in these fields.
Remarkably, the average pay for graduates in data science has increased by 5%, leaping from 50,800 GBP in 2022 to over 116,000 GBP at present. The UK is a very attractive place to study data science courses because of its strong ecosystem of Big Data and AI businesses, including Oxbotica, FiveAI, Benevolent AI, DeepMind, and the prestigious Alan Turing Institute. Surprisingly, the Royal Society research shows a startling 35% increase in UK earnings for data engineers.
Eligibility Criteria
An international student who wants to study for a master’s degree in data science in the UK must fulfill the following prerequisites:
- An undergraduate degree in computer science or a similar discipline.
- A 2:1 undergraduate degree or a minimum of 60% at the bachelor’s level is required for an international degree.
- It is not required to take the GRE.
- English proficiency test results
Applications from international students may still be considered even if they have not completed a degree but have a great deal of relevant work experience to make up for it. Since this is a rare condition, each application is assessed separately.
Admission Requirements
- Transcripts for Academic Work: Official academic transcripts, which include mark sheets and certificates from prior schools, are usually required to be submitted by applicants. These documents should be accompanied by an English translation if they are not in English.
- Academic letters of recommendation (LOR): Two to three academic letters of recommendation are typically required by colleges. Professors or other experts who can attest to the applicant’s academic or professional qualifications ought to write these letters.
- Personal Statement: It’s important to have a strong personal statement. The applicant’s accomplishments, driving forces, and motives for pursuing the university program should all be highlighted in this statement. A compelling personal statement can increase an applicant’s chances of acceptance, making it an essential part of the application process.
- Resume: Candidates should send a current, comprehensive CV that highlights their training history, applicable abilities, and any relevant job experience.
- English skills: Overseas students from non-English speaking nations need to prove their English ability. Typically, this is accomplished by submitting the results of official English proficiency exams. Some colleges may additionally consider PTE scores, even if IELTS and TOEFL ratings are frequently accepted. Generally speaking, scores cannot be more than two years old.
Application Process
- Investigate and Select Programs: Examine colleges and their offerings in data analytics while taking reputation, location, and course content into consideration.
- Verify Eligibility: In particular, be sure the coursework from your undergraduate degree is related to the program’s requirements.
- Prepare Application Papers: Collect necessary materials, such as academic records, test results for English language competence (if relevant), academic recommendation letters, a well-written personal statement, and a current resume.
- Application Portal: Apply directly by visiting the university’s official website to access their application portal. Applying through the UCAS system may also be an option for some universities.
- Submit Application: Complete the online form, attach any required files, and, if necessary, pay the application fee.
- Apply for a student visa if you are approved to study in the United Kingdom. Providing financial documentation and fulfilling health conditions can be necessary for this.
- Await Decision: Give your application some time to be reviewed by the university. If you’re accepted, you’ll get an admissions offer.
- Acceptance and Enrollment: Agree to the terms of the offer, make any necessary deposits, and complete the enrollment process.
- Get Ready for Arrival: Make sure you fulfill all immigration and academic requirements by organizing your travel and lodging in the UK.
The admissions materials supplied by the selected universities must be carefully reviewed, since each one may have unique deadlines and extra requirements.
Top Scholarships for Masters in Data Science in UK
| Scholarships | University | For Whom | Award Amount in GBP | Deadline |
|---|---|---|---|---|
| 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 | 1st July (closed) |
| Kings International Scholarship | Kings College, London | Enrollment in postgraduate | 25,000 | March (closed) |
| GREAT Scholarship | British Council; GREAT British Campaign | Masters students from China, India, and Malaysia | Varies | June (closed) |
| Think Big Postgraduate Scholarship | University of Bristol | Enrollment in postgraduate | 5,000; 10,000; or 20,000 | April (closed) |
| College of Science and Engineering Scholarship | University of Glasgow | Enrollment in postgraduate | 10,000 | January (closed) |
| Birmingham Master’s Scholarship Scheme | University of Birmingham | Enrollment in masters | 2,000 | April (closed) |
| Sheffield Postgraduate Scholarships | University of Sheffield | Enrollment in masters | Tuition fee waiver | May (closed) |
| University’s Masters Scholarships | Lancaster University | master’sEnrollment in a taught masters program | 5,000 | master’s Enrollment in a taught master’s program |
| Chancellor’s International Scholarship | University of Sussex | master’sEnrollment in a taught master program | An international student enrolled in the master’s program | May (Closed) |
Job Opportunities After a Master’s in Data Science in the UK
Many interesting employment options in the data-driven industry are available to those with a Master’s in Data Science from the UK. Graduates can pursue careers as data scientists, analysts, analysts of business intelligence, and more. They are in great demand across a wide range of businesses. The following are some important job roles and their typical pay:
| Job Role | Average Salary (UK) |
|---|---|
| Data Analyst | £26,000 – £60,000 |
| Data Scientist | £35,000 – £80,000 |
| Business Intelligence Analyst | £30,000 – £70,000 |
| Machine Learning Engineer | £40,000 – £90,000 |
| Data Engineer | £35,000 – £75,000 |
| Quantitative Analyst | £40,000 – £100,000 |
| Risk Analyst | £30,000 – £70,000 |
| Marketing Analyst | £25,000 – £60,000 |
| Financial Analyst | £30,000 – £70,000 |
| Healthcare Data Analyst | £30,000 – £65,000 |
In conclusion, obtaining an MS in Data Science in the UK offers top-notch training and is a great investment for students. Prospective data scientists will find it appealing because of the UK’s thriving IT sector and the possible return on investment, even though costs may vary. However, careful financial planning is necessary to balance living expenses and tuition fees.
FAQs
The UK is the ideal place to study for a Master’s in Data Science because it provides the greatest education available. Several other nations, like the US, Australia, Canada, and others, provide master’s degrees in data science and give their students excellent educational opportunities.
London, Edinburgh, Manchester, Boston, and Cambridge rank among the top cities in the United Kingdom for data scientists seeking the best salary.
Great prospects are available in the UK for data scientists. It’s a great place to work in this sector with many of job opportunities and well-known AI startups like Deepmind, Benevolent AI, Oxbotica, FiveAI, and the Alan Turing Institute situated there.