Data Science
Treforest Campus, United Kingdom
MSc Data Science
University of South Wales
Data Science
MSc Data Science at University of South Wales — Program Overview
The MSc Data Science at the University of South Wales is an award-winning programme recognised as the Best Academic Programme of the Year at the FinTech Awards Wales 2023. Designed for aspiring data enthusiasts, recent graduates, and professionals seeking to enhance their analytical skills, this programme equips you with the expertise needed to excel in the rapidly evolving field of data science.
The programme features six core taught modules divided into two streams, covering statistical analysis, machine learning, big data technologies, and research methodology. You will use popular industry tools such as Python, R, and SAS, and work towards earning the globally recognised SAS Joint Certificate in Applied Statistics and Data Mining, giving you a significant competitive advantage in the job market.
Accredited by BCS, The Chartered Institute for IT, this programme benefits from strong industry partnerships with organisations such as Admiral, Talent Intuition, and NHS Wales. Students engage in real-world projects ranging from predicting insurance cancellations to creating interactive healthcare dashboards, ensuring you graduate with practical, employer-ready skills.
Key Program Highlights
- Winner of Best Academic Programme of the Year at FinTech Awards Wales 2023
- Work towards the globally recognised SAS Joint Certificate in Applied Statistics and Data Mining
- Accredited by BCS, The Chartered Institute for IT
- Industry partnerships with Admiral, NHS Wales, and Talent Intuition for real-world project experience
Curriculum & Modules
The MSc Data Science curriculum is structured around six core taught modules divided into two streams, each delivered in three consecutive eight-week blocks. This structure provides flexibility for both full-time and part-time students, allowing working professionals to integrate their studies with their careers. You will also complete an independent research project worth 60 credits during the summer period.
Applied Statistics for Data Science
20 ECTSExplores data acquisition and statistical analysis techniques crucial for data scientists across various industries, with emphasis on developing soft skills in effectively communicating results to business stakeholders.
Data Mining and Statistical Forecasting
20 ECTSCovers advanced data mining techniques and statistical forecasting methods used to identify patterns, trends, and correlations within large and complex datasets for predictive analytics.
Project Management and Research Methodology
20 ECTSEquips students with essential skills for independently undertaking and managing research projects, focusing on conducting literature reviews and honing research and writing skills.
Principles of Computing
20 ECTSCovers the fundamentals of computing technology, programming, and database systems, providing a solid technical foundation for applying data science concepts in practical settings.
Machine Learning and Decision Making
20 ECTSIntroduces machine learning algorithms and decision-making frameworks, enabling students to build predictive models and apply artificial intelligence techniques to solve real-world problems.
Big Data and Analytics
20 ECTSFocuses on big data technologies and data engineering concepts, teaching students how to handle, process, and analyse large-scale datasets using industry-standard tools and platforms.
Research Project & Specialisation Options
Admission Requirements
The MSc Data Science programme at the University of South Wales welcomes graduates from STEM and business backgrounds, as well as professionals looking to upskill into data-driven roles. To apply, submit your application through Uni4Edu, where our team will guide you through every step of the admissions process.
Academic Requirements
- Undergraduate DegreeMinimum 2:2 Honours degree or equivalent in a numerate discipline across any STEM or business subject
- Academic BackgroundStrong foundation in quantitative subjects such as mathematics, statistics, computing, or engineering is preferred
- Professional ExperienceRelevant industry experience can also be taken into account for applicants who may not meet the standard academic requirements
- International QualificationsInternational applicants with equivalent qualifications to UK entry requirements are welcome — contact Uni4Edu for country-specific guidance
- Personal StatementA statement outlining your motivation, relevant experience, and career goals in data science
English Language Requirements
- IELTSOverall 6.0 with a minimum of 5.5 in each component
- TOEFLContact Uni4Edu for current equivalent score requirements
- PTE AcademicContact Uni4Edu for current equivalent score requirements
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
The University of South Wales offers a range of generous scholarships for self-funding international students. You are automatically considered for these awards when your application is received through Uni4Edu — no separate scholarship application is required. Confirmation of any scholarship award will be included in your offer letter.
International Office Scholarship
Up to GBP 2,000Available for self-funding international students across all postgraduate programmes. You are automatically considered when your application is submitted, and the award is applied to each year of study.
Chancellor's International Development Scholarship
GBP 2,500Available for international students from selected regions pursuing undergraduate or postgraduate courses. This scholarship replaces the standard international scholarship and is automatically assessed upon application.
USW International Progression Scholarship
Up to GBP 6,000A fee waiver available for international students who have completed a previous qualification at the University of South Wales and are progressing to a master's programme, rewarding continued academic commitment at USW.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Employment prospects for data science graduates are strong in this rapidly growing industry. With data science emerging across all organisations, graduates of this programme are equipped with high-level analytical skills to solve real-world problems and play leading roles at both technical and practical levels. The programme's industry partnerships and SAS certification provide a significant advantage when entering the job market.
Potential Career Roles
Industries & Employers Hiring Graduates
Rankings & Recognition
The University of South Wales has achieved significant recognition in national university rankings, reaching its highest-ever position in the Guardian University Guide. The MSc Data Science programme itself has received industry acclaim, winning the Best Academic Programme of the Year at the FinTech Awards Wales. USW is also recognised for strong graduate outcomes and student satisfaction.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | EduRank | #80 in UK |
| Business & Management | Complete University Guide | #85 in UK |
| FinTech Awards Wales | FinTech Wales | Best Academic Programme 2023 |
| Engineering | EduRank | #76 in UK |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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