Computing (Data and Information Systems)
University of Wales Trinity Saint David
UCAS Code: 318S | Bachelor of Science - BSc
University of Wales Trinity Saint David
UCAS Code: 318S | Bachelor of Science - BSc
Entry requirements
UCAS Tariff
104 UCAS tariff points to include: Two C grades at A-Level/AVCE; or BTEC National Diploma grades Pass, Pass, Pass; or BTEC National Certificate grades Merit, Pass; or NVQ Level 3 - Pass Please note that subjects at Advanced Level should/may include ICT, Computing, Maths, Physics or similar. GCSE Maths grade C or above is preferred.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
Our Data and Information Systems programme focuses on three key areas: data storage, data analysis, and information systems. As a student, you will learn the technical aspects of data science, such as data visualisation, data collection, and data processing. By the end of the course, you will be well-versed in how information systems operate.
The world is generating more data than ever before, and the ability to analyse this large scale data is becoming crucial for businesses. Our programme teaches you how to handle this data effectively. You will learn the techniques needed for the processing, analysis, and visualisation of data, preparing you to meet industry demands.
We ensure you are equipped with knowledge of the current data industry. The programme also focuses on lifelong learning skills. This means you will be able to keep your knowledge and skills up-to-date throughout your career, which is essential in this fast-moving field.
Upon graduation, you will find many employment opportunities. Organisations that collect and process large amounts of data will need your skills. You will likely start as a data analyst, where you will work in teams to analyse data using statistical techniques. You will also use visualisation methods to present the results clearly and effectively.
This programme covers various topics, including computer systems, business technology, and technology trends. You will gain experience in programming, web design, and systems development, making you a well-rounded candidate for many roles in the tech industry.
Our course is designed to be engaging and practical, giving you the tools you need to succeed in your future career. With a focus on real-world applications, you will graduate ready to tackle the challenges of the data industry. You will not only have technical skills but also the ability to think critically and solve problems, making you a valuable asset to any employer.
Join our Data and Information Systems programme to start your journey in this exciting and ever-evolving field. Develop your expertise in data analysis, data visualisation, and information systems, and prepare for a career full of opportunities.
Modules
Year One:
Compulsory
Data Analysis & Visualisation (20 credits)
Software Development (20 credits)
Computer Architecture and Operating Systems (20 credits)
Introduction to Web and Database Concepts (20 credits)
Network and Cybersecurity Essentials (20 credits)
Learning in the Digital Era (20 credits)
Year Two:
Compulsory
Network Operating Systems and Services (20 credits)
Databases Application Development (20 credits)
Changemakers: Creativity and Value Creation (20 credits)
Data Security and Compliance (20 credits)
Statistical Programming (20 credits)
Geographical Information Systems (20 credits)
Year Three:
Compulsory
Independent Project (40 credits)
Artificial Intelligence & Machine Learning (20 credits)
Usability Engineering (20 credits)
Emerging Trends (20 credits)
Data Warehousing and Data Mining (20 credits)
Assessment methods
The School of Applied Computing aims to produce graduates that help shape the future of computing and information systems development. The course content is contemporary and shaped for employability through close links with local and national employers.
Students are assessed through a combination of worksheets, practicals, presentations, projects and examinations. Module assessment is often by assignment, or assignment and examination. The final mark for some modules may include one or more pieces of coursework set and completed during the module. Project work is assessed by written report and presentation.
Students are encouraged to use our links with Software Alliance Wales and Go Wales to work on commercial schemes for their Major Project module. Go Wales provides the opportunity of paid work placements with local businesses.esentation.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
SA1 Waterfront Campus, Swansea
Computing
What students say
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How do students rate their degree experience?
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Computer science
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Most popular A-Levels studied (and grade achieved)
After graduation
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Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£23k
£28k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
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While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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