23Nov
UndergraduateCourse summary
This programme emphasises three themes – data storage, data analysis and information systems. As a graduate of this programme, you will be skilled and knowledgeable in the technical aspects of data science, including data analysis, data visualisation, data collection and data storage, with a particular emphasis on information systems. The quantity of data being gathered globally is growing and its analysis has become an increasingly important field as industry tries to extract the maximum value. Our Data and Information Systems programme incorporates the techniques required for the processing, analysis and visualisation of data on a large scale to meet this need. You will be equipped with knowledge of the current state of the industry and there is also an emphasis on skills for lifelong learning, to give you the ability to update your skills throughout your career in this fast-moving field. Employment opportunities will be found within organisations that collect and process large volumes of data, working as part of a team analysing data using statistical techniques and deploying visualisation methods to present the results. You could expect to be initially employed as a data analyst.
Modules
Year One – Level 4 (HNC, HND & BSc) • Computer Architecture and Operating Systems (20 credits; compulsory) • Data Analysis and Visualisation (20 credits; compulsory) • Introduction to Web and Database Concepts (20 credits; compulsory) • Learning in the Digital Era (20 credits; compulsory; Graduate Attributes Framework module) • Networks and Cyber Security Essentials (20 credits; compulsory) • Software Development (20 credits; compulsory). Year Two – Level 5 (HND & BSc) • Changemakers: Creativity and Value Creation (20 credits; compulsory; Graduate Attributes Framework module) • Data Security and Compliance (20 credits; compulsory) • Databases and Application Development (20 credits; compulsory) • Geographical Information Systems (20 credits; compulsory) • Network Operating Systems and Services (20 credits; compulsory) • Statistical Programming (20 credits; compulsory). Year Three – Level 6 (BSc) • Artificial Intelligence and Machine Learning (20 credits; compulsory) • Data Warehousing and Data Mining (20 credits; compulsory) • Emerging Trends (20 credits; compulsory / optional (DDA) / optional (PT)) • Independent Project (40 credits; compulsory; Graduate Attributes Framework module) • Industrial Based Research (20 credits; optional (DDA) / optional (PT)) • Usability Engineering (20 credits; compulsory).
Assessment method
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.
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- British Computer Society
How to apply
31Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 104 points
Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
| EU | £9000 | Year 1 |
| England | £9000 | Year 1 |
| Northern Ireland | £9000 | Year 1 |
| Scotland | £9000 | Year 1 |
| Wales | £9000 | Year 1 |
| Channel Islands | £9000 | Year 1 |
| International | £13500 | Year 1 |
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
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Wales Trinity Saint David
College Road
Carmarthen
SA31 3EP