About the course

Artificial intelligence (AI) is a discipline in which computers and other devices are designed and developed to display intelligent characteristics. This course adds a specialism in AI to a broad base in technology and software development. Particularly in the first two years, you’ll find an emphasis on software development, professional programming, the modelling and design of systems and data, the principles of networking and the user experience. These give you the core skills to specialise in AI, where you can study the analysis, design and construction of knowledge-based and expert systems, artificial life and robotics, and systems based around the use of neural networks.

Fact sheets 2019 Course fact sheet 1 BSc (Hons) Computer Science (Artificial Intelligence)
Programme specifications 2019 Programme specification 1 Modular BSc/MEng Honours in Computer Science and Information Technology

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. Previous students have worked placements at companies including Intel, IBM, and BT
  • Recent graduates from Computer Science have gone on to work at amazing organisations including BAE Systems, NHS, and EE

Professional Accreditations

Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional (for 1st year entrants only)

Course details

Careers

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.

What job can I get?

After graduating, you’ll be equipped to work in a range of specialist roles in academic or industrial research or in software development. For example, you could carry out research into social robotics or design intelligent systems. Recent employers have included Blackberry, GSK, HP, IBM and John Lewis. Other graduates have gone on to postgraduate study.

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.

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.

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

Structure

  • Level 4
    Module Credits Compulsory/optional
    Human Dimensions of Computing 30 Credits Compulsory
    Programming 30 Credits Compulsory
    Models and Methods in Computing 30 Credits Compulsory
    Platforms for Computing 30 Credits Compulsory
  • Level 5
    Module Credits Compulsory/optional
    Contemporary Issues 15 Credits Compulsory
    Database Concepts 15 Credits Compulsory
    Computer Science Development Exercise 30 Credits Compulsory
    Algorithms and Data Structures 15 Credits Compulsory
    Operating Systems and Networks 15 Credits Compulsory
    Artificial Intelligence 15 Credits Optional
    Computer Architecture 15 Credits Optional
    Cognitive and Social Robotics 15 Credits Optional
    The C Family 15 Credits Optional
  • Level 6
    Module Credits Compulsory/optional
    Project Planning 15 Credits Compulsory
    Computer Systems Security 15 Credits Compulsory
    Constructive Artificial Intelligence 15 Credits Compulsory
    AI Robotics and Applications 15 Credits Compulsory
    Artificial Intelligence Project 30 Credits Compulsory
    Professional Work Placement in Computer Science 0 Credits Optional
    Artificial Life 15 Credits Optional
    Software Quality 15 Credits Optional
    Embedded Systems Development 15 Credits Optional
    Machine Learning and Neural Computing 15 Credits Optional
    Programming Paradigms 15 Credits Optional
    Quantum Computing 15 Credits Optional
    Mobile Computing 15 Credits Optional
    Year Abroad 0 Credits Optional
    Study Abroad 0 Credits Optional
  • Fees & funding

    Fees 2019

    UK/EU Students

    Full time
    • £9250 for the 2019/2020 academic year

    International Students

    Full time
    • £12350 for the 2019/2020 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

    Read more about additional fees in the course fact sheet

    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

    UCAS points A Level BTEC
    104 BCC DMM

    How to apply

    Course length
    • Full Time, 3 Years
    • Sandwich, 4 Years
    Locations
    • University of Hertfordshire, Hatfield

    2019

    Start DateEnd DateLink
    26/09/201931/05/2020Apply online (Full Time)
    25/09/201931/05/2020Apply online (Full Time/Sandwich)
    25/09/201931/05/2020Apply online (Full Time/Sandwich)

    2020

    Start DateEnd DateLink
    26/09/202031/05/2021Apply online (Full Time)
    25/09/202031/05/2021Apply online (Full Time/Sandwich)
    25/09/202031/05/2021Apply online (Full Time/Sandwich)

    2021

    Start DateEnd DateLink
    26/09/202131/05/2022Apply online (Full Time)
    25/09/202131/05/2022Apply online (Full Time/Sandwich)
    25/09/202131/05/2022Apply online (Full Time/Sandwich)
    Optional Sandwich Placement or Study Abroad year
    We welcome applications from international and EU students