ABERYSTWYTH UNIVERSITY · UNITED KINGDOM
Data Science (MSc)
Master's · Taught in en · UCAS G490
At a glance
12 mo
Duration
6.0
IELTS
€25k
Tuition / yr
en
Language
Master's
Level
- 1 yearFull-time duration
- 2:2 Honours degreeMinimum academic entry
- IELTS 6.0English language
- Cross-disciplinary expertiseBenefit from Mathematics and Computer Science departments
- Career supportThroughout your degree
- Industry linksDepartments with strong company connections
The MSc in Data Science at Aberystwyth University is designed for students seeking to develop expertise in extracting meaning from vast datasets, a highly sought-after skill across various industries. This program integrates knowledge from Computer Science, Mathematics, and Statistics, preparing you for roles in business, government, and scientific research. You will learn to identify customer buying patterns, track disease spread, monitor machinery, and improve individual health metrics using data-driven insights. This master's degree is particularly suitable for graduates from any discipline who wish to apply computing knowledge to their original field of study, fostering a new generation of data scientists.
Curriculum
The MSc Data Science program is structured over three semesters. In the first two semesters (September to May), you will complete 120 taught credits through a combination of lectures, seminars, and practical exercises. The third semester (June to September) is dedicated to your MSc project and dissertation, worth 60 credits. The curriculum is designed to provide you with specialised technical skills in data handling, analytics, and security.
- Year 1
- Advanced Data AnalyticsCSM6720
- Machine Learning for Intelligent SystemsCSM6420
- Modelling, Managing and Securing DataCSM3120
- Statistical Concepts, Methods and ToolsMAM5120
- Statistical Techniques for Computational ScientistsMAM5220
- Fundamentals of Intelligent SystemsCSM6120
- Programming for ScientistsCSM0120
- DissertationCSM9060
- DissertationMAM9060
Careers
Graduates of the Data Science MSc program are highly sought after in the job market due to the significant demand for 'Big Data' skills. The course equips you with specialized technical and analytical skills, preparing you for diverse roles across various industries. Aberystwyth University provides comprehensive career planning support throughout your degree.
- Data Scientist
- Product Manager (e.g., in investment banking)
- Entrepreneur
Frequently asked questions
- What are the academic entry requirements for the MSc Data Science programme?
- You need a Bachelor's (Honours) degree with a 2:2 classification or equivalent in any discipline. Non-graduates with relevant work experience will be considered on an individual basis.
- What is the tuition fee for international students for the MSc Data Science programme?
- The tuition fee for international students for full-time Science programs, including the MSc Data Science, is £21,875 per year. These fees are for the 2026/27 academic year and may be subject to annual increases.
- How long is the MSc Data Science programme and what is the duration?
- The full-time programme is 1 year in duration. Students complete 120 taught credits in the first two semesters (September to May) and a 60-credit dissertation from June to September.
- What English language proficiency is required for international students?
- You need an IELTS score of 6.0 overall, with a minimum of 5.5 in each component. Successful completion of Aberystwyth University International English Centre courses at the required level is also accepted.
- How can I apply for the MSc Data Science programme?
- You can apply online through the university's portal for the G490 MSc Data Science course. You will need to prepare documents such as academic transcripts, degree certificates, and proof of English language proficiency.
- What career opportunities are available after completing the MSc Data Science?
- Graduates are highly sought after for roles such as Data Scientist or Product Manager. The programme equips you with specialized technical and analytical skills for diverse industries.
Entry requirements
Bachelors (Honours) degree2:2 or equivalent in any discipline
IELTS6.0 overall with a minimum of 5.5 in each component
Aberystwyth University International English Centre CoursesSuccessful completion at the required level
Non-graduates with relevant work experience will be considered individually. Applicants are encouraged to submit an up-to-date CV. English language test results are valid for a maximum of two years. Applicants who have been awarded a degree (Bachelor's or Master's) from a majority English-speaking country (e.g., UK, Australia, USA, Ireland) are exempt from providing additional English language proof, provided the study was not online. For Canadian nationals, a degree from Canada is accepted; for other nationalities, a Canadian degree does not serve as proof of English proficiency.
Fees
Tuition (international)£21,875 per year for full-time Science programs, including this MSc. International students may be eligible for the International Accommodation Award, which can include accommodation costs in tuition fees.
Tuition (home)£9,790 per year for UK and Irish students.
LivingEstimated living costs are not provided, but international students may have accommodation costs included in tuition through the International Accommodation Award.
Tuition fees are for the 2026/27 academic year and may be subject to annual increases in line with UK and Welsh Government approvals. For international undergraduate students, fees are frozen at the entry level for subsequent study years; this policy is not explicitly stated for postgraduate programs but international accommodation awards are available for eligible students. Irish nationals are eligible for home fee status.
How to apply
1. Prepare DocumentsGather your academic qualifications (transcripts, degree certificates), proof of English language proficiency (IELTS or equivalent), and an up-to-date CV.
2. Apply OnlineSubmit your application through the university's online application portal for the G490 MSc Data Science course, selecting the 'PG' program type and 'en' language.
3. Receive OfferIf successful, the university will issue an offer. This offer may be conditional on providing further documents or meeting specific requirements, such as English language test results.
4. Accept Offer and Fulfill ConditionsAccept your offer and provide any outstanding documents or meet conditions as requested by the university.
Frequently asked questions
What are the academic entry requirements for the MSc Data Science programme?
+
You need a Bachelor's (Honours) degree with a 2:2 classification or equivalent in any discipline. Non-graduates with relevant work experience will be considered on an individual basis.
What is the tuition fee for international students for the MSc Data Science programme?
+
The tuition fee for international students for full-time Science programs, including the MSc Data Science, is £21,875 per year. These fees are for the 2026/27 academic year and may be subject to annual increases.
How long is the MSc Data Science programme and what is the duration?
+
The full-time programme is 1 year in duration. Students complete 120 taught credits in the first two semesters (September to May) and a 60-credit dissertation from June to September.
What English language proficiency is required for international students?
+
You need an IELTS score of 6.0 overall, with a minimum of 5.5 in each component. Successful completion of Aberystwyth University International English Centre courses at the required level is also accepted.
How can I apply for the MSc Data Science programme?
+
You can apply online through the university's portal for the G490 MSc Data Science course. You will need to prepare documents such as academic transcripts, degree certificates, and proof of English language proficiency.
What career opportunities are available after completing the MSc Data Science?
+
Graduates are highly sought after for roles such as Data Scientist or Product Manager. The programme equips you with specialized technical and analytical skills for diverse industries.