BSc (Hons) Computer Science (Artificial Intelligence)

Available to non EU students

About the course


This Computer Science degree adds a specialism in AI and robotics to a broad base, making your degree stand out.

What you will learn

You will study the analysis, design and construction of knowledge-based and expert systems, Artificial Life and robotics, as well as systems based around the use of neural networks. This course draws on the expertise of the School’s internationally acclaimed AI research staff. In your first two years you will concentrate on building a broad integrated foundation, with your specialism in AI building on this foundation.

First Year: You will learn the foundations of the subject including topics such as an overview of the field, programming, modelling, and computing platforms.

Second Year: You will deepen your understanding and develop more advanced skills. There are technical modules on software development, programming, databases, operating systems and networks, plus two options in AI and robotics.

Third year: You have the option of taking a one-year paid work placement, or you can study abroad at one of our partner universities worldwide.

Final Year (3rd or 4th): You will be offered core modules on computer security and project planning, specialist modules in Constructive AI and Robotics, plus two options, which can also be in other aspects of AI. Finally you will undertake an individual project in your chosen specialism, typically an extensive piece of practical work.

Why choose this course?

  • Choose this course with an emphasis on Artificial Intelligence and Robotics building on a base of mainstream Computer Science, or change to one of the others in our flexible programme.
  • Be taught by highly qualified staff, most with a PhD or other advanced degree plus research, teaching, or professional experience. 
  • Be part of a highly regarded well established computer science department with excellent facilities, a strong research background, and links to business and industry.
  • Prepare yourself for a career in the IT sector through a mix of academic, professional and practical study, with opportunities for industry certifications and a paid placement year.
  • Benefit from an NSS (National Student Survey) overall satisfaction score of 89% for the School.


Our graduates have become software developers, programmers, web developers, business analysts, database administrators, project managers and IT consultants, or have studied for postgraduate degrees. There are careers across many employment sectors, including the IT industry, business, education and government.

Recent employers have included Blackberry, GSK, HP, IBM, John Lewis, and T-Mobile. Other graduates have continued with postgraduate studies (typically an MSc or PhD) at Hertfordshire or at other universities.

More about the course

This course adds a specialism in Artificial Intelligence (AI) to a broad base in Computer Science. AI is a discipline in which computers, software and machines are designed and developed to display intelligent characteristics. The engineering of intelligent systems relies on core skills such as programming and the application of modelling methods.

The course is for anyone with an interest in academic computer science, in particular artificial intelligence and robotics. It is not necessary to have A-level or equivalent in Maths, Computer Science or ICT.

The programme as a whole is very flexible. The Computer Science route gives you the opportunity for an optional work placement or study abroad in the third year, the chance to specialise in later years, and there is an MEng for suitably qualified candidates. Alternatively, you could opt for the Information Technology route, which has a different emphasis. However, you do not need to decide until you have started your course and can make an informed choice based on experience.

We offer a blend of practical and theoretical work. You will learn about the fundamental principles of the subject, which will be illustrated with current real-world technologies and applications wherever possible. To gain your degree, you will have developed a wide range of skills: problem solving, analytical, creative, and professional.

Teaching methods

Computer Science is both an academic and a practical subject so you will be taught in different ways such as lectures, smaller group tutorials, supervised practicals (labs) and self-study including experiential learning. Assessment is by a mix of in-class tests, exams, and coursework.

The School has well equipped laboratory facilities, with PCs running Windows 7 and/or Linux and a whole range of industry-standard and educational software from Microsoft, Oracle, Adobe, and others. There are specialist labs for networking, multimedia, devices, robotics, and projects.

In addition to scheduled classes, about 16 hours per week in Year 1, you will be expected to spend the same amount of time in self-study taking advantage of the University's extensive and up-to-date facilities. These include the Learning Resource Centres (LRCs), open 24x7, with over 1,200 computer workstations and wifi access, Studynet our versatile online study environment accessible on and off campus, and open access to our labs.

Most of our students own their own PC or Mac, but this is not essential since you can use the university facilities instead or as well.

Work Placement

You have the opportunity to undertake a professional placement for your third year. We encourage you to take advantage since on average placement students have a greater chance of finding good employment after graduation and achieve higher grades in their final year.

Work placements are spent in a paid job relevant to your degree. You apply in the second year, with support from the University using our extensive contacts with employers.

Recent placement students have worked at large organisations such as:

  • Apple
  • BT
  • IBM
  • Intel
  • GSK
  • Microsoft
  • Xerox.
  • Numerous smaller organisations, some family-run or near home.

Study abroad

This course offers you the opportunity to study abroad in the Sandwich Year through the University's study abroad programme. Study abroad opportunities are available worldwide and in Europe under the Erasmus+ Programme.

Find out more about Study abroad opportunities


Level 4

Core Modules

  • Human Dimensions of Computing - 30 Credits
  • Programming - 30 Credits
  • Models and Methods in Computing - 30 Credits
  • Platforms for Computing - 30 Credits


Level 5

Core Modules

  • Contemporary Issues - 15 Credits
  • Database Concepts - 15 Credits
  • Computer Science Development Exercise - 30 Credits
  • Algorithms and Data Structures - 15 Credits
  • Operating Systems and Networks - 15 Credits


  • Artificial Intelligence - 15 Credits
  • Computer Architecture - 15 Credits
  • Cognitive and Social Robotics - 15 Credits
  • The C Family - 15 Credits

Level 6

Core Modules

  • Project Planning - 15 Credits
  • Computer Systems Security - 15 Credits
  • Constructive Artificial Intelligence - 15 Credits
  • AI Robotics and Applications - 15 Credits
  • Artificial Intelligence Project - 30 Credits


  • Professional Work Placement in Computer Science - 0 Credits
  • Artificial Life - 15 Credits
  • Software Quality - 15 Credits
  • Embedded Systems Development - 15 Credits
  • Machine Learning and Neural Computing - 15 Credits
  • Programming Paradigms - 15 Credits
  • Quantum Computing - 15 Credits
  • Mobile Computing - 15 Credits
  • Year Abroad - 0 Credits
  • Study Abroad - 0 Credits

Fees & funding

Fees 2018

UK/EU Students

Full time
  • £9250 for the 2018/2019 academic year

International Students

Full time
  • £11950 for the 2018/2019 academic year

Discounts are available for International students if payment is made in full at registration

*Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University’s Fees and Finance Policy (and in particular the section headed “When tuition fees change”), for further information about when and by how much the University may increase its fees for future years.

View detailed information about tuition fees

Other financial support

Find out more about other financial support available to UK and EU students

Living costs / accommodation

The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.

View detailed information about our accommodation

Entry requirements...

2018 entry 

104 UCAS points.

IB - 104 points from a minimum of 2 HL subjects at H4 or above (with the remaining points to come from a combination of HL, SL and Core). GCSE Maths and English Language at grade 4 (C) or above.

GCSE Maths and English Language at Grade 4 or above (Grade C or above under the old grading structure).

How to apply


Start DateEnd DateLink
26/09/201826/05/2019Apply online (Full Time)
25/09/201822/05/2019Apply online (Full Time/Sandwich)
25/09/201820/05/2019Apply online (Full Time/Sandwich)


Start DateEnd DateLink
26/09/201926/05/2020Apply online (Full Time)
25/09/201922/05/2020Apply online (Full Time/Sandwich)
25/09/201920/05/2020Apply online (Full Time/Sandwich)