BSc (Hons) Artificial Intelligence with Computer Science (Including Foundation Year)

The artificial intelligence (AI) fuelled by the rise in computer processing power, the profusion of data, and the development of techniques such a ‘Machine learning’ is undergoing a significant transformation. This foundation year is part of the Artificial Intelligence with Computer Science offered by the University of South Wales for those students who want to enrol on this course but don’t have the required grades.

The Artificial Intelligence with Computer Science is BCS accredited and was designed in line with professional standards. This degree guarantees your first step towards a career in one of the well paid and trending career pathways. Our degree is tool-based, and the teaching style offers the students a conceptual grounding in AI systems, and then allow them to apply their theoretical knowledge in a practical setting.

You’ll work on real-world like problems in readiness for employment, developing critical skills that will help you keep pace with this rapidly changing field. If you desire to become an AI expert, then this is the right course for you.

This course is subject to validation.

2020/21 update: Blended learning approach for USW courses.

The wellbeing and health and safety of our students and staff is paramount to us. We are committed to delivering all of our courses and services as safely as possible. Due to the pandemic, the methods and activities adopted for the coming year may differ from those previously published and may be subject to further change through the course of your study if such change is necessary due to public health concerns, health and safety guidance or in response to Government Guidelines. USW is committed to providing you with a fantastic student experience and a wealth of support, and you can hear how students have benefitted from this approach here: Learn more about blended learning.

UCAS Code Study Mode
2020
Duration Start Date Campus Campus Code
G801 Full-time 4 Years September Treforest A

Foundation Year: Artificial Intelligence with Computer Science Degree


The foundation year can be a real attribute to the students' overall degree success and will provide a sound base on which to establish a successful academic career. During the foundation year, you will undertake core modules as follows:

  • Foundation Statistics
  • Foundations of Mathematics
  • Software Development Fundamentals
  • Integrated Computing Devices
  • Working Effectively with Computers
  • Web Development Fundamentals
  • Information Systems

The Artificial Intelligence with Computer Science degree is structured around six main themes, or pillars, that are developed through a year of study. These pillars cover AI-related modules, Computer Science modules and Informatics modules. Every module feeds into the next year's module in the pillar and complement modules offered in the same academic year of study.

Our course has a balance between academic required skills, which supports the employment readiness of our students. The knowledge gain outcome of every year is measurable based on the practical techniques and tools learned. We don’t expect students to have a strong background in topics like Maths, Programming or Informatics. Thus, we offer modules to cover the mentioned needed knowledge, and we focused it on AI.

In our focused AI modules, we cover all the needed skills required by “Data Analysis” career pathway up to the second year. And we included all the skills necessary for a “Data Engineer” career pathway, which gives our graduates a head start in the job market.


Year One: Artificial Intelligence with Computer Science Degree

  • Artificial intelligence related modules
  • Introduction to Programming

Computer science and informatics related modules

  • Information Management, Assurance and Security
  • Computer System Concepts
  • Immersive Learning Team Project
  • Mathematical Tools for Computation

Year Two: Artificial Intelligence with Computer Science Degree

Artificial intelligence related modules

  • Agent-Based Systems
  • Intelligent Decision Support Systems

Computer science and informatics related modules

  • Computer System Concepts
  • Database Development
  • Operating System Concepts
  • Professional Practice and Employability Team Project
  • Computational Mathematics

Year Three: Artificial Intelligence with Computer Science Degree

Artificial intelligence related modules

  • Machine Learning and Natural Intelligence
  • Data Mining
  • Computer science and informatics related modules
  • Computer Networks
  • Robotics and Autonomous Systems
  • Individual Project

Teaching

The course is taught by experienced academics, who are deeply involved in research and have experience of collaborating with industry experts. These academics are also able to transfer their knowledge and skills to the students.  

The foundation year is treated like any other academic year. If the student is enrolled in a full-time course, then he will be expecting to have 12 hours of face to face class engagement in the format of lectures, tutorials and practical sessions every week. And that level of engagement will require 24 hours of independent study this should cover your coursework, general reading and other preparation. 

We also offer a sandwich year, which allows students to take employment for a year in the industry that will provide them with industry-driven skills and boost their career prospects, which often leads to job opportunities with your placement employer.  

We offer this course as a part-time degree as well because we believe in providing equal opportunities for students who have taken on jobs already. If you choose to study part-time, your face to face contact, time will be six hours each week. You will study through lectures, tutorials, practical sessions, seminars and projects. And you work on your course work and do you general reading on your independent studying time.  

Assessment

Types of assessment include examinations, coursework and exercises based on real-life problems.

Facilities

Practice is so important in gaining understanding of applied techniques, which is why we have invested in high quality facilities to facilitate your learning.

Our facilities are at the cutting edge of computer development, meaning you’ll use the latest technologies in high-spec labs. You’ll also find dedicated spaces on campus for computing students, including Windows, Apple Mac, Linux and Networking suites, all with the latest software.

Lecturers

Information about your main teaching team and their research interests can be found on the Computer Science and Artificial Intelligence Paradigms (CSAIP) website.

GCSEs: The University normally requires a minimum 3 GCSEs including Mathematics and English at Grade C/Grade 4 or above, or their equivalent but consideration is given to individual circumstances

Typical A-Level Offer

EE

Typical Welsh BACC Offer

N/A

Typical BTEC Offer

BTEC Extended Diploma Pass Pass Pass or BTEC Diploma Pass Pass

Typical IB Offer

Pass the International Baccalaureate Diploma with a minimum of 32 UCAS tariff points from Higher Levels

Typical Access to HE Offer

Pass the Access to HE Diploma

Full-time fees are per year. Part-time fees are per 20 credits. Once enrolled, the fee will remain at the same rate throughout the duration of your study on this course.

August 2020 - July 2021 Fees


  • Full-time UK and EU:  £9000

  • Full-time International:  £13500 

Additional Costs

Students have access to a wide range of resources including textbooks, publications, and computers in the University’s library and via online resources. In most cases they are more than sufficient to complete a course of study. Where there are additional costs, either obligatory or optional, these are detailed below. Of course students may choose to purchase their own additional personal resources/tools over and above those listed to support their studies at their own expense. All stationery and printing costs are at a student’s own expense.

UK and EU students
Apply via UCAS if you are a UK/EU residing applicant, applying for year one of a full-time undergraduate degree, Foundation Year, Foundation Degree or HND and you have not applied through UCAS before. If you are applying to study part-time, to top up your Foundation Degree or HND, or to transfer to USW from another institution, please apply directly

International students
Apply directly to the University if you live outside the UK/EU. 

Admissions statement

AI technologies development has created a demand for new skills. Our course design will allow graduates to build and develop a portfolio during their degree.  And it will also allow them to obtain suitable experiences to present an industry orientated practical skills to employers.  

Students will also be encouraged and supported to pursue projects of their own and create their carer rather than finding one; if this is what they want to do.  

The transferrable skills such as problem-solving, analysis, modelling, solution developing, and evaluation offered in this course will prepare our graduates for a range of careers.  

The most common fields where employment is growing are in developing robotic and smart solutions for manufacturing, healthcare, transport, energy, defence, research, etc. Graduates roles could include:

  • Robotics Design specialist 
  • Software engineer/developer 
  • Intelligent Systems architect 
  • Analyst in a Finance 
  • Analyst in a Health 
  • Analyst in a Sports 

Further study 

  • Business Management Masters 
  • Intelligence analyst in a range of sectors such as Finance Masters 
  • Artificial intelligence Masters  
  • Artificial intelligence Masters  
  • PhDs researching 

Full-time