School of Computer Science

BSc Artificial Intelligence & Computer Science with an Industrial Year [9502]

Compulsory Modules to a total of 40 credits

Code Title Autumn Spring
06-26581 Computer Science Project 20 20

Optional Modules to a total of 30 to 80 credits

Code Title Autumn Spring
06-26943 Advanced Topics in Functional Programming - 10
06-15506 Individual Study 1 10 10
06-20122 Intelligent Data Analysis - 10
06-13520 Intelligent Robotics 20 -
06-26428 Machine Learning 10 -
06-28209 Nature Inspired Search and Optimisation - 10
06-32167 Neural Computation 20 -

Optional Modules to a total of 0 to 50 credits

Code Title Autumn Spring
06-02578 Compilers & Languages - 10
06-28201 Computer-Aided Verification - 10
06-32221 Distributed and Parallel Computing 20 -
06-22133 Human Computer Interaction 10 -
06-29636 Network Security - 10
06-26951 Networks 20 -
06-26953 Operating Systems 20 -
06-30208 Teaching Computer Science in Schools - 20

Programme Notes:

  • Programme Year Requirements: Students with a C or better in Mathematics at A-level (or equivalent as approved by the School) must choose one 20 credit or two 10 credit modules from the list of 'modules from outside the main discipline' (MOMDs), excluding modules provided by this School. Students without this level of mathematics must take the 20 credit mathematics module.
  • Module Failure: The Syllabus web page for every module defines the resit rules if they are different from the first attempt -- follow the links under the module code.
  • Progress Decisions: Please refer the University Regulations for further information on assessment, progression and awards. Degree Classification: Refer to the University Regulations for further information on the general rules governing degree classification. It is a specific requirement of this programme that students pass the Computer Science Project in order to be awarded an Honours Degree.
  • Optional Modules: Where options are available in a particular year, note that not all options may be available. Some option combinations are only available if the timetable permits. Students make preliminary option choices before timetables are available and so changes may be needed later if there are unresolvable clashes. In selecting options, students are responsible for checking pre-requisite and co-requisite requirements.
  • Accreditation: Whether to award accreditation is a decision made from time to time by a professional body according to criteria which are then current; hence there is no guarantee that the programme will actually be accredited for any particular year of entry by any particular professional body.
  • Industrial Year: In order to proceed to Year 3 (the industrial year), students must: - Not have any modules to repeat during the year. If they have resit examinations, they must arrange for time off to take these. - Have found a company willing to provide a placement which meets the School's requirements, which include providing an Industrial Tutor. The placement must involve a component of skills training (approximately 40%) and technical project work (approximately 60%). The skills training can include formal taught and/or self study courses and apprenticeship style learning "on the job". The training and project work must be of a technical nature relevant to the degree programme. The project work will most typically involve programming but other types of project work are acceptable. Students who do not meet the academic requirements or cannot find a suitable industrial placement will transfer to the degree programme without the Year in Industry component. See also the web page for Programmes with an Industrial Year.

Programmes that share this year:

  • BSc Artificial Intelligence & Computer Science [0144]
  • BSc Artificial Intelligence & Computer Science with Study Abroad [452B]