UNIVERSITY OF STRATHCLYDE · UNITED KINGDOM
MSc Data Analytics
Master's · Taught in en
At a glance
12 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
- UK University of the Year 2026Award
- Scottish University of the Year 2026Award
- Triple-accredited business schoolAccreditation
- Industry-led case studiesPractical Experience
- Guest speakers from industryExpert Insights
- Opportunities for client-based dissertation projectsReal-world Projects
The MSc Data Analytics program at the University of Strathclyde is designed to equip you with the skills to become a well-rounded data analytics problem-solver. This course focuses on applying data analytics techniques within business contexts, enabling you to make informed decisions about technology and understand the theoretical principles behind it. You will gain a comprehensive skill set through a blended learning approach that combines theory, intensive practice, and industry engagement. This program is unique in its collaborative approach, drawing expertise from the Department of Management Science, the Department of Mathematics & Statistics, and the Department of Computer & Information Sciences. This interdisciplinary focus provides a broader understanding of data analytics than many specialized degrees. You will learn from experts across these fields, apply your skills to industry-led case studies, and gain exposure to the latest research in machine learning and AI for business. Graduates are in high demand across various sectors, including IT, energy, finance, and consultancy. The program emphasizes practical application, with opportunities to work on real-world projects with external organizations and develop a portfolio to showcase to potential employers. The university's strong relationships with government, business, and industry ensure that your learning is relevant and aligned with current challenges.
Curriculum
The curriculum is structured around a core 'Data Analytics in Practice' module, delivered across both semesters, focusing on applying learned techniques to real-world business problems presented by external organizations. Semester 1 provides fundamental technical knowledge from Computer & Information Sciences (machine learning, data mining, visualization, big data), Mathematics & Statistics (computational skills, statistical tools), and Management Science (problem structuring, decision analysis). Semester 2 allows for specialization through electives chosen from at least two departments, extending core skills.
- Full-time (12 months)
- Data Analytics in Practice
- Modules from Computer & Information Sciences (e.g., machine learning, data mining, data visualization, big data platforms)
- Modules from Mathematics & Statistics (e.g., computational skills, statistical tools)
- Modules from Management Science (e.g., problem structuring, decision analysis)
- Electives (chosen from at least two departments)
- Summer dissertation project (optional client-based projects)
- Part-time (24 months)
- Foundation of Business Analysis & Consulting Practice (Year 1, Semester 1)
- Quantitative Analysis for Consulting (Year 1, Semester 1)
- Strategy Consulting: Methods & Applications (Year 1, Semester 2)
- One elective class (Year 1, Semester 2)
- Managing Business Operations (Year 2, Semester 1)
- Excel for Business Analysis & Forecasting (Year 2, Semester 1)
- Becoming an Effective Business Analyst (Year 2, Semesters 1 & 2)
- Two elective classes (Year 2, Semester 2)
- Dissertation (MSc only)
Careers
Graduates are equipped with analytical and strategic capabilities highly valued by employers across various sectors, including information technology, energy, finance, and consultancy. The program fosters skills in AI, machine learning, advanced analytics, problem-solving, and contemporary business knowledge, making graduates in demand.
- Data Analyst
- Business Analyst
- Data Scientist
- AI Specialist
- Analytics Consultant
Frequently asked questions
- What are the academic and English language entry requirements for the MSc Data Analytics program?
- You need a good UK honours degree (minimum 2:2) or equivalent with a strong quantitative element. For English language proficiency, an IELTS score of 6.0 overall with at least 5.5 in any component is required.
- How long does the MSc Data Analytics program take to complete?
- The full-time program is 12 months long and includes a summer dissertation project. A part-time option is available over 24 months.
- What is the tuition fee for international students?
- Tuition fees for international students are not specified on the program page.
- Are there scholarships available for international students?
- Yes, the university offers Postgraduate Taught Scholarships for self-funded students, which can be up to £12,000.
- What kind of career opportunities can I expect after graduating from the MSc Data Analytics program?
- Graduates are highly valued in sectors like IT, energy, finance, and consultancy, with potential roles as Data Analysts, Business Analysts, Data Scientists, AI Specialists, and Analytics Consultants.
- How do I apply for the MSc Data Analytics program?
- International students should follow the university's postgraduate application process online, ensuring all necessary documents like transcripts, degree certificates, and English language test results are submitted before the application deadline.
Entry requirements
UK Honours degree (or equivalent)A good UK honours degree (minimum 2:2) or equivalent, with a strong quantitative element, from a recognised university.
IELTS6.0 overall (minimum 5.5 in any component)
We welcome applications from candidates with a wide range of backgrounds. If you do not meet the academic entry requirements, but have relevant professional experience, please contact us to discuss your eligibility.
Fees
Tuition (international)Tuition fees for international students are not specified on the program page.
Tuition (home)Tuition fees for home/domestic students are not specified on the program page.
LivingEstimated living costs are not provided on the program page.
The university offers postgraduate taught scholarships for self-funded students of up to £12,000.
How to apply
1. Check Entry RequirementsEnsure you meet the academic and English language requirements for the MSc Data Analytics program.
2. Prepare Application DocumentsGather necessary documents, including academic transcripts, degree certificates, English language test results, and a personal statement.
3. Submit ApplicationComplete and submit the online application form via the university's application portal before the specified deadline.
4. Attend Interview (if required)Some applicants may be invited for an interview.
5. Receive OfferSuccessful applicants will receive an offer letter.
6. Accept Offer and Prepare for StudyAccept the offer, arrange funding, and prepare for your arrival in the UK.
Scholarships
Postgraduate Taught ScholarshipsUp to £12,000
Accreditation
AACSB, EQUIS & AMBA
Frequently asked questions
What are the academic and English language entry requirements for the MSc Data Analytics program?
+
You need a good UK honours degree (minimum 2:2) or equivalent with a strong quantitative element. For English language proficiency, an IELTS score of 6.0 overall with at least 5.5 in any component is required.
How long does the MSc Data Analytics program take to complete?
+
The full-time program is 12 months long and includes a summer dissertation project. A part-time option is available over 24 months.
What is the tuition fee for international students?
+
Tuition fees for international students are not specified on the program page.
Are there scholarships available for international students?
+
Yes, the university offers Postgraduate Taught Scholarships for self-funded students, which can be up to £12,000.
What kind of career opportunities can I expect after graduating from the MSc Data Analytics program?
+
Graduates are highly valued in sectors like IT, energy, finance, and consultancy, with potential roles as Data Analysts, Business Analysts, Data Scientists, AI Specialists, and Analytics Consultants.
How do I apply for the MSc Data Analytics program?
+
International students should follow the university's postgraduate application process online, ensuring all necessary documents like transcripts, degree certificates, and English language test results are submitted before the application deadline.