UNIVERSITY OF EDINBURGH · UNITED KINGDOM
Data Science Technologies (Online Learning) MSc
Master's · Taught in en · UCAS N/A
At a glance
12 mo
Duration
6.5
IELTS
€0k
Tuition / yr
en
Language
Master's
Level
- Hands-on experience with real-world applicationsPractical Learning
- Essential research trainingResearch-Focused
- Understand generative AI and data-intensive technologiesCutting-edge Curriculum
- Learn data analytics at scaleAdvanced Technologies
- Balance studies with other commitmentsFlexible Online Study
- Option for PgDip or PgCert exit awardsFlexible Exit Awards
The University of Edinburgh's online MSc in Data Science Technologies is designed for aspiring data specialists in a world increasingly shaped by generative AI and other data-driven advancements. This multidisciplinary program equips you with essential skills in statistical analysis, machine learning, programming, and data visualisation, enabling you to make strategic decisions, optimise processes, and solve complex real-world problems across diverse fields from sciences to arts and humanities. This program goes beyond foundational knowledge, connecting you with the University's high-profile network of research and innovation centers. You will gain a strong understanding of current technological advancements and learn to apply them practically and impactfully in various scenarios. The program offers flexibility, allowing you to study full-time over one year or part-time over three years, balancing your academic pursuits with personal and professional commitments. You also have the option to exit with a Postgraduate Diploma (PgDip) or Postgraduate Certificate (PgCert) after completing 120 or 60 credits, respectively.
Careers
Graduates of the Data Science Technologies MSc will be well-prepared for careers in various data-driven industries. The program provides the knowledge and practical skills needed for roles that involve leveraging data to inform strategic decisions, optimize processes, and solve complex problems.
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- AI Specialist
Frequently asked questions
- What are the academic entry requirements for the MSc in Data Science Technologies?
- You typically need a UK 2:1 honours degree in a numerate or computational discipline, or a UK 2:2 in Computer Science, Informatics, Software Engineering, Mathematics, Statistics, or similar. Relevant work experience can also be considered.
- What are the English language requirements for international students?
- We accept IELTS Academic with a score of 6.5 overall and at least 6.0 in each component. Other accepted tests include TOEFL-iBT and C1 Advanced/C2 Proficiency, with specific score requirements for each.
- How long does the MSc in Data Science Technologies take to complete?
- The program can be studied full-time over one year or part-time over three years. You also have the option to exit with a Postgraduate Diploma after 120 credits or a Postgraduate Certificate after 60 credits.
- What are the tuition fees for international students?
- Tuition fees for international students vary by award and duration (1-year full-time or 3-year part-time). Please refer to the University's specific fee pages for the 2026-27 academic year for exact costs.
- Are there any scholarships available for this program?
- The Tercentenary Award for Excellence offers a £5,000 tuition fee reduction for applicants accepted to MSc programmes starting in the 2026-27 academic year. The application deadline for this scholarship is 01 May 2026.
- What career paths can I pursue after graduating from this program?
- Graduates are well-prepared for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and AI Specialist in various data-driven industries.
Entry requirements
UK 2:1 honours degree or international equivalentIn a numerate or computational discipline.
UK 2:2 honours degree or international equivalentIn Computer Science, Informatics, Software Engineering, Mathematics, Statistics, or similar.
Relevant work experienceTypically at least three years in a relevant field (data or programming). Applicants applying on this basis should include a detailed CV and explain their professional background in the application's 'Relevant Knowledge/Training' section. Recommended prior knowledge includes SQA Higher or GCE A level Mathematics (or equivalent) and basic programming concepts (e.g., C, Fortran, Java, Python, R).
IELTS AcademicTotal 6.5 with at least 6.0 in each component.
TOEFL-iBT (including Home Edition) before 21 January 2026Total 92 with at least 20 in each component.
TOEFL-iBT (including Home Edition) from 21 January 2026Total 4.5 with at least 4.0 in each component.
C1 Advanced (CAE) / C2 Proficiency (CPE)Total 176 with at least 169 in each component.
Trinity ISEISE II with distinctions in all four components.
Oxford ELLTTotal 7 with at least 6 in each component.
Oxford Test of English AdvancedTotal 145 with at least 135 in each component.
English language tests (IELTS, TOEFL, Trinity ISE, Oxford ELLT, Oxford Test of English Advanced) must be no more than two years old on the 1st of the month your program starts. Other accepted tests must be no more than three and a half years old. A degree taught and assessed in English from a majority English-speaking country (UKVI list) or an approved university in a non-majority English-speaking country may also satisfy the requirement. If you are not a national of a majority English-speaking country, your degree must be no more than five years old.
Fees
Tuition (international)Tuition fees for international students vary by award and duration (1-year full-time or 3-year part-time). Please refer to the University's specific fee pages for the 2026-27 academic year.
Tuition (home)Tuition fees for UK/home students vary by award and duration (1-year full-time or 3-year part-time). Please refer to the University's specific fee pages for the 2026-27 academic year.
LivingEstimated living costs for a single postgraduate student in Edinburgh for 2026-27 are £18,504 per year (£1,542 per month). This includes accommodation and utilities (£978/month average), food and shopping (£248/month), mobile phone (£12/month), socialising/leisure (£246/month), and local bus travel (£58/month for age 22+). These are estimates and actual costs depend on personal choices and inflation.
University of Edinburgh graduates are eligible for a 10% discount on tuition fees. No deposit is required for this program. Most students combine sources like loans, family support, savings, income, employer sponsorship, and scholarships to cover costs.
How to apply
1. Check Entry RequirementsVerify that you meet the academic qualifications and English language proficiency requirements for your chosen program. This program accepts a UK 2:1 honours degree (or equivalent) in a numerate/computational discipline, a UK 2:2 (or equivalent) in specific computational fields, or relevant work experience.
2. Prepare Supporting DocumentsGather all required documents, including your personal statement, information about your skills and experience. If applying based on work experience, include a detailed CV and outline how your professional background demonstrates your ability to undertake the program in the 'Relevant Knowledge/Training' section of your application.
3. Submit Your ApplicationApply online through the University's degree finder. Ensure that all information provided is complete, accurate, and free from false or misleading statements.
4. Track Your ApplicationAfter submission, you can track the status of your application. You will receive a decision from the University, which you will then need to accept if an offer is made.
Scholarships
Tercentenary Award for Excellence£5,000
Accreditation
N/A
Frequently asked questions
What are the academic entry requirements for the MSc in Data Science Technologies?
+
You typically need a UK 2:1 honours degree in a numerate or computational discipline, or a UK 2:2 in Computer Science, Informatics, Software Engineering, Mathematics, Statistics, or similar. Relevant work experience can also be considered.
What are the English language requirements for international students?
+
We accept IELTS Academic with a score of 6.5 overall and at least 6.0 in each component. Other accepted tests include TOEFL-iBT and C1 Advanced/C2 Proficiency, with specific score requirements for each.
How long does the MSc in Data Science Technologies take to complete?
+
The program can be studied full-time over one year or part-time over three years. You also have the option to exit with a Postgraduate Diploma after 120 credits or a Postgraduate Certificate after 60 credits.
What are the tuition fees for international students?
+
Tuition fees for international students vary by award and duration (1-year full-time or 3-year part-time). Please refer to the University's specific fee pages for the 2026-27 academic year for exact costs.
Are there any scholarships available for this program?
+
The Tercentenary Award for Excellence offers a £5,000 tuition fee reduction for applicants accepted to MSc programmes starting in the 2026-27 academic year. The application deadline for this scholarship is 01 May 2026.
What career paths can I pursue after graduating from this program?
+
Graduates are well-prepared for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and AI Specialist in various data-driven industries.