MSc Data Science

Course overview

The MSc Data Science is a conversion Master's degree, meaning you do not need to have a Computer Science, Mathematics or Engineering degree to apply. The University specifically states that the course is open to graduates from any academic discipline. The programme develops practical skills in Python, R, SQL and SAS, with students applying these technologies to real-world data problems. It covers data science, artificial intelligence, statistics, databases, data visualisation and network analysis. A distinctive feature is the University's embedded SAS training, which is designed to lead towards SAS Tier 3 specialisation. Students can also work on live industry-related projects and may have opportunities for placements or micro-internships through the University's industry connections. The course uses practical assessment rather than traditional examinations. Students are assessed through data-analysis tasks, projects, reports, presentations, portfolios and case studies. The programme is also part of Wolverhampton's BCS-accredited computing provision.

Course details

Degree level

Master's

Duration

15 MONTHS

Intakes

November 2026, January 2027

Tuition fee

£18,645 / yearUniversity fee information (opens in a new tab)

Initial deposit

£8,000

Country

England

Campus

CITY CAMPUS

Official course page

https://www.wlv.ac.uk/courses/

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

Open the official course page (opens in a new tab)

English Language Requirements

Main English Requirements

Only the tests listed here are shown as accepted for this course.

MOI / English Exemption

MOI Accepted Universities – Pakistan 1. Abdul Wali Khan University 2. Aga Khan University 3. Air University, Islamabad 4. Bahauddin Zakariya University, Multan 5. Bahria University, Islamabad 6. Beaconhouse National University, Lahore 7. Capital University of Science and Technology 8. COMSATS University, Islamabad 9. Dow University of Health Sciences, Karachi 10. Fatima Jinnah Women University, Rawalpindi 11. Forman Christian College, Lahore 12. Foundation University, Islamabad 13. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology 14. Government College University – All Campuses 15. Government College Women University, Faisalabad 16. Institute of Business Administration, Karachi 17. International Islamic University, Islamabad 18. IQRA University, Karachi 19. Islamia University, Bahawalpur 20. Karachi Institute of Economics and Technology (PAF) 21. Kinnaird College for Women, Lahore 22. Lahore College for Women University 23. Lahore School of Economics 24. Lahore University of Management Sciences (LUMS) 25. Liaquat University of Medical and Health Sciences, Jamshoro 26. Mohammad Ali Jinnah University, Karachi 27. National College of Arts, Lahore 28. National College of Business Administration and Economics, Lahore 29. National Defence University, Islamabad 30. National Textile University, Faisalabad 31. National University of Computer and Emerging Sciences (FAST) 32. National University of Modern Languages (NUML), Islamabad 33. National University of Sciences and Technology (NUST), Islamabad 34. National University of Technology (NUTECH), Islamabad 35. NED University of Engineering and Technology, Karachi 36. Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad 37. PMAS Arid Agriculture University, Rawalpindi 38. Quaid-e-Azam University 39. Riphah International University, Islamabad 40. Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Karachi 41. Sir Syed CASE Institute of Technology 42. Superior University 43. The University of Faisalabad 44. University of Agriculture, Faisalabad 45. University of Central Punjab, Lahore 46. University of Engineering and Technology, Lahore 47. University of Engineering and Technology, Taxila 48. University of Gujrat 49. University of Health Sciences, Lahore 50. University of Karachi 51. University of Lahore 52. University of Management and Technology, Lahore 53. University of Peshawar 54. University of Sargodha 55. University of the Punjab, Lahore

Whether an English exemption through Medium of Instruction applies is decided by the university. Our team can advise you when you apply.

Entry requirements

For applicants from Pakistan

KPK students are not allowed and MOI accepted.

General entry requirements

One of the major advantages of this programme is that it is a conversion Master's. The University states that you normally need: • A lower second-class honours degree (2:2) or above. • Your degree can be in any subject — you do not necessarily need a Computer Science or Mathematics degree. • You should normally have GCSE Mathematics at Grade 4 or equivalent. • If you do not have the required GCSE Mathematics qualification, the University provides a GCSE Maths Equivalence course as a route to meeting this requirement. • Applicants with strong relevant industry experience may also be considered through an interview route. This makes the course particularly suitable for graduates from business, finance, economics, engineering, science, humanities or other non-computing backgrounds who want to move into data-related careers.

Scholarships & discounts

Scholarship: Up to £2,000, based on academic performance: £1,000 for a standard academic profile £1,500 for students with a 2:1 or 3.5 CGPA £2,000 for students with a First Class degree or 3.7 CGPA

Pre-CAS interview

Required

Yes — a Pre-CAS / credibility interview is part of the process

Stage

Before the initial deposit is paid

Format

Live interview

Course modules

The current course page structures the MSc into the following areas: Stage 1 – Foundations • Digital Citizenship for Computing – Professional skills, ethics, data governance and industry/placement preparation. • Applied Database Systems – Database design, SQL, data storage, querying and management. • Research Methods & Professionalism – Research methods, project planning, academic research and professional practice. • Complex Network Analysis and Optimisation – Analysing networks and optimising connected systems using tools such as SAS Viya. Stage 2 – Core Data Science and AI • Principles of Artificial Intelligence – AI concepts, intelligent systems, reasoning, learning and AI ethics. • Data Science – Working with data in R, including data cleaning, analysis, modelling, visualisation and communication. • Data Visualisation – Creating clear and interactive visualisations using SAS and presenting complex data effectively. • Applied Statistics – Statistical analysis, hypothesis testing, regression and evidence-based decision-making using practical R workshops. Stage 3 – Independent Project • MSc Project in Data Science – 60 credits – An independent, substantial data-science project based on a real-world problem or area of your choice, completed under academic supervision.