Computing (Data and Information Systems)
University of Wales Trinity Saint David
UCAS Code: 345T | Higher National Diploma - HND
University of Wales Trinity Saint David
UCAS Code: 345T | Higher National Diploma - HND
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
Our Higher National Diploma in Data and Information Systems focuses on three important areas: storing data, analysing data, and understanding information systems. In this course, you will learn about the technical side of data science, which includes how to collect, process, and visualise data. By the end of your studies, you will have a good understanding of how information systems work.
The world produces a huge amount of data every day. Being able to analyse and make sense of this data is becoming very important for businesses. In our course, you will learn how to manage this data effectively. You will be taught various techniques for processing and analysing data, as well as how to present it clearly using visualisation tools. These skills are in high demand in many industries.
We ensure that you are not only taught the latest knowledge but also how to keep learning throughout your career. This is important because the data industry is always changing. With these lifelong learning skills, you can keep up with new technologies and methods.
After completing this course, you will have many job opportunities. Many organisations need people who can work with large amounts of data. You could start as a data analyst, where you will use statistical methods to analyse data learnt on this course. You will also learn how to use visualisation techniques to present your findings in a way that is easy to understand.
The course covers a variety of topics, including computer systems, business technology, and current trends in technology. You will gain hands-on experience in programming, web design, and developing systems. This makes you a versatile candidate for many jobs in the technology sector.
Our course is designed to be both engaging and practical. We focus on real-world applications, giving you the tools and skills you need to succeed in your career. Along with technical knowledge, you will develop critical thinking and problem-solving skills, making you a valuable team member in any workplace.
Modules
In the first year, you will build a strong foundation in computer systems, programming, and data analysis. You will also learn the basics of data storage, cybersecurity, and information systems, setting the stage for more advanced topics.
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)
The second year deepens your understanding of data processing, data visualisation, and systems development. You will work on projects that integrate business technology and explore technology trends, equipping you with skills to analyse and manage large-scale data.
Compulsory
Changemakers: Creativity and Value Creation (20 credits)
Network and Cybersecurity Essentials (20 credits)
Databases Application Development (20 credits)
Data Security and Compliance (20 credits)
Statistical Programming (20 credits)
Geographical Information Systems (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.
The Uni
SA1 Waterfront Campus, Swansea
Computing
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
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Computer science
Teaching and learning
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Who studies this subject and how do they get on?
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:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
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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