Course summary
The MSc Data Science and Analytics programme at UWTSD Swansea offers students the chance to develop the skills needed to thrive in a world that is constantly changing through technology. As technology moves forward, the demand for professionals who understand data science, data analytics, and the use of big data continues to grow. This course will give you the advanced skills and knowledge that employers are looking for in fields such as business, government, and many more. One of the key focuses of this programme is lifelong learning. You will not only learn about the current state of the industry, but you will also develop the ability to keep your skills up to date throughout your career. The course is designed to help you adapt to future changes in data science and related fields, which means you will always be prepared for the next step in your professional journey. During the MSc, you will study areas such as machine learning, data mining, programming, and data processing and modelling. You will learn how to work with both structured and unstructured data, and how to draw data insights from complex datasets. The course also covers cloud computing and its applications in the modern world, giving you hands-on experience with the tools and technologies used in this field. There is also an opportunity to gain industry-recognised qualifications such as SAS certification, which will help you stand out in the job market and improve your graduate employability. The MSc includes an industry placement option, allowing you to apply the knowledge gained during your studies in real-world settings, making you more attractive to potential employers. Whether you are interested in working in government and business applications, or exploring cutting-edge technologies like neural networks, this course offers a solid foundation for a range of career paths. With a focus on research excellence, the MSc also provides the option for students to pursue further academic work if they wish. By the time you complete this programme, you will have the expertise to contribute to sectors that rely on data science, both now and in the future.
Modules
Our MSc Data Science and Analytics programme is designed with a student-centred approach. We focus on real-world applications, combining theoretical knowledge with practical skills. Our aim is to equip you with the tools needed for lifelong learning, allowing you to stay current in the fast-evolving world of data science and analytics. During the year, you will develop a strong foundation in data mining, data visualisation, and data security, along with advanced statistical programming. These skills will help you explore, process, and analyse complex data. You will also study machine learning and database systems, applying these techniques to real-world scenarios. Throughout the course, there is an emphasis on research methods and professional development, culminating in a comprehensive master’s project. This project allows you to demonstrate your expertise by tackling a significant data-related problem, preparing you for roles in industry or further research. Database Systems (20 credits) Data Mining and Visualisation (20 credits) Advanced Statistical Programming (20 credits) Application of Machine Learning (20 credits) Artificial Intelligence (20 credits) Data Security, Governance and Compliance (20 credits) Master's Project (60 credits)
Assessment method
Students’ work is assessed through a combination of coursework, portfolio, lab-based practical exams and written examinations. The final mark for some modules may include one or more pieces of assessment set and completed during the module. Project work is assessed by a written report and oral presentation. Part 2 requires the student to research and prepare an individual project of a substantial nature. University students who are unable to successfully complete all aspects of Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits).
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
How to apply
International applicants
If you are not from the UK and you do not already have residency here, you may need to apply for a visa. For courses of more than six months’ duration you will require a Student visa. International students who require a Student visa should apply for our full-time courses as these qualify for Student visa sponsorship. For full information read our visa application and guides. Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.
Entry requirements
2:2 honours degree or UWTSD recognised equivalent.
English language requirements
If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.0, with not less than 5.5 in each of the sub-tests. We also accept other English language tests.
Acceptable Evidence of English
https://www.uwtsd.ac.uk/apply/international-applications/english-language-requirements
Fees and funding
Tuition fees
Republic of Ireland | £7800 | Whole course |
EU | £16800 | Whole course |
England | £7800 | Whole course |
Northern Ireland | £7800 | Whole course |
Scotland | £7800 | Whole course |
Wales | £7800 | Whole course |
Channel Islands | £7800 | Whole course |
International | £16800 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Wales Trinity Saint David
College Road
Carmarthen
SA31 3EP