Wrexham University
UCAS Code: I345 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Accepted alongside A-Levels as part of overall 48-72 UCAS Tariff requirement.
48-72 UCAS Tariff points
48-72 UCAS Tariff points
Accepted as part of overall 48-72 UCAS Tariff requirement.
48-72 UCAS Tariff points from International Baccalaureate Certificates
48-72 UCAS Tariff points
Accepted alongside Irish Leaving Certificate Higher Level as part of overall 48-72 UCAS Tariff requirement.
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
48-72 UCAS Tariff points
48-72 UCAS Tariff points
UCAS Tariff
Our general entry requirement for the foundation year is 48-72 UCAS tariff points but all applications are considered individually and we consider work experience, vocational training/qualifications as well as motivation and potential to succeed. The programme welcomes applications from anyone who can demonstrate a commitment to the subject and the potential to complete their chosen programme successfully. This can be established by showing appropriate academic achievements or by demonstrating that they possess the knowledge and ability equivalent to the academic qualifications.
Accepted as part of overall 48-72 UCAS Tariff point requirement.
About this course
Why choose this course?
Computer Science is an exciting and dynamic field at the cutting edge of technology, and this creative degree has the vision to provide professionals who can deliver. You will develop programming, data management, hardware and software skills to understand and develop solutions for today’s computer-dominated world.
This Computer Science degree programme will equip graduates with the knowledge, understanding and skills required to analyse, design, develop, test and maintain systems for the future. It also provides an opportunity to participate in the CISCO Academy Programmes in preparation for acquiring CISCO certified accreditation.
You will:
- Be studying a degree which has become part of everyday life.
- Benefit from industrial links the support the degree delivery in the form of guest speakers and placement opportunities.
- Explore the skills mentioned above as well as skills in programming, data management, hardware and software.
Key Course Features:
- The department has been successful in achieving funding for developing a range of intelligent kitchen appliances for use by elderly or disabled people and continues to develop research projects.
- This degree provides an opportunity to participate in the CISCO Academy Programmes and qualify for CISCO accreditation.
- Integrated into this degree is the opportunity to gain first-hand involvement with the workplace, by completing the Industrial Placement at level 5.
- Students undertake an individual project in the final year of their course. Normally each year, there are a number of ‘live’ projects available that involve working with businesses.
Modules
What you will study
YEAR 1 (FOUNDATION YEAR)
The foundation year provides students with the knowledge and confidence in the use of formula, data manipulation and representation. You will gain an understanding of the core hardware and software associated with the use of computer systems, as well as keeping up to date with current developments in technology. There will be numerous opportunities to work on practical activities such as robots, CAD design which will be further developed at degree level.
YEAR 2 (LEVEL 4)
Level 4 contains essential fundamental material which is relevant in all of our computing programmes. You will learn both subject-specific skills along with transferable skills which will increase your employability prospects.
With the support of your tutors, you will learn about some of the essential facts, concepts, principles and theories relating to computing and computer applications. You will be able to demonstrate skills that underpin good practice in the field of computers and computational methods, e.g. laboratory tasks involving the creation of simple programs and the use of operating systems.
This will help develop your understanding of hardware issues, including interfacing and data communications, and their impact on the overall design and performance of computer-based systems.
MODULES
Fundamentals of Machine Learning
Information Security and Governance
Software Development Methodologies
Applied Computational Methods
Programming Fundamentals
Computer Systems and Architecture
YEAR 3 (LEVEL 5)
Level 5 continues teaching you the fundamentals of the discipline, and more specialist modules start to be introduced. You will also undertake a group project where you will gain important skills in project management techniques and the professional and ethical issues of project management.
You will also deepen your knowledge and understanding of computing concepts and approaches for complex problems through the application of several existing artificial intelligence techniques for learning and optimisation targeting real-world problems.
MODULES
Data Structures and Algorithms
Secure Software Development
Cloud, Distributed Architecture
Machine Learning
Systems Engineering and Project Management
Group Project
YEAR 4 (LEVEL 6)
Once you reach your final year, you will further develop your skills through taught modules and research, with a focus on the latest developments in your chosen discipline.
You will also undertake an individual final year project, which will help prepare you for the kind of tasks and situations you may encounter in the workplace. The final year practical and project work will further develop your analytical skills through the analysis and appraisal of current and emerging technologies, taking into account their impact on society.
MODULES
Deep Learning Implementation
Cryptography and Defensive Systems
Data Analysis and Visualisation
Emergent Technologies
Project
The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.
Assessment methods
Teaching & Assessment
Teaching
The computing degree suite utilises a variety of industry-standard tools and software in combination with several teaching methods designed to deliver industry-relevant skills and empower students to take their work further where applicable. All Staff members have embraced the active learning framework (ALF) and there have been several enhancements to teaching and learning.
Assessment
The degree team take a balanced approach to assessment strategy with respect to group work and individual development opportunities. Extensive use of the JIRA project management cloud platform is used to track student progress towards goals and milestones. This has proven to be a beneficial tool with respect to personal development and critical time management skills.
Where applicable, assessments are linked to real-world projects or based on current industry trends and issues. In addition, project modules serve as a platform for enterprise activities.
Personalised Support
The Computing department at Wrexham University employs a long-standing open-door policy, and activate engage with students, alumni and industry using our online Discord community. Additional tools such as Teams and Moodle provide core information and methods of contact. All students are also allocated a personal tutor who are encouraged to meet on a regular basis and extra personalised support is provided for all part time students on VLE
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Wrexham
School of Applied Science, Computing and Engineering
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
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.
£22k
£27k
£24k
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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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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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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