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

As a Computing academic team, we are dedicated to supporting your development as skilled, analytical thinkers who are ethically aware of the impact of technology on the world and its future.

To help you achieve this, we use a range of teaching methods tailored to your learning needs. Your learning experience will include lectures, tutorials, and online resources delivered through our Virtual Learning Environment (VLE), alongside hands-on workshops and interactive exercises.

This approach ensures a dynamic and engaging learning experience, with regular one-to-one feedback and support. By the end of this journey, you will have developed the independence, confidence, and problem-solving skills necessary to succeed at Level 4 and beyond.

The Computer Science and Artificial Intelligence degree uses the pioneering CDIO (Conceive, Design, Implement, Operate) education model – developed by the world-renowned Massachusetts Institute of Technology (MIT) in collaboration with business. This will help your natural creativity and thirst for problem-solving flourish as you learn and some of your teaching will be done via real world inspired projects. You will be taught through a combination of lectures, seminars and practical labs. You will typically have around 12 contact hours per week and are expected to also spend about 4 hours each week coordinating with team members on group activities.

Labs will often emphasise working in small groups to enable you to discuss and develop your understanding of topics covered in lectures and place theory into practice.

The course will consist of blend of online and face-to-face campus practical learning in computing laboratories and face-to- face and online theoretical and practical learning.

When not attending timetabled sessions, it is expected you will continue learning through self-study. Typically, this involves completing computer-based exercises, preparing for workshops and seminars, undertaking research in the library, working on projects, undertaking coursework assignments or preparing for class-tests and examinations and reading journal articles and books. Your module leader will direct you towards specific readings and/or activities to complete before class.

For your final year individual project (dissertation), you will undertake independent research and development and will be assigned a supervisor; who will guide you through your first substantial and independent work through regular scheduled meetings.

A 30-credit module is based on 300 total learning hours which is made up of Scheduled Teaching Hours, Guided Learning Hours and Independent Learning Hours.

Scheduled Teaching (lectures, seminars, tutorials, labs) is 66 hours of large and small event teaching delivery, based on 6 hours a week over 11 weeks.

Independent study (reading, assignments, projects, exam preparation): Usually accounts for the remaining time, which can range from 240-260 hours.

Assessments would normally be expected to take approximately 75 hours for an assignment worth 50% of a 30-credit module. A similar amount of preparation and revision time would be expected for an examination worth 50% of a 30-credit module.

The team consists of highly qualified academics. They have a range of expertise and experience.

All our team members hold Doctoral or professional qualifications (e.g. Member of the British Computer Society or Eur. Ing.) or comparative industrial experience. You should note members of the teaching team might change.

Postgraduate students assist in some teaching and assessing some modules. However, experienced academics teach the majority of lectures and seminars.