Computer Science (Artificial Intelligence)

This Computer Science (Artificial Intelligence) undergraduate program at Brunel University London offers students an in-depth understanding of the principles and technologies underpinning modern artificial intelligence. Designed to equip students with both theoretical foundations and practical skills, the course covers a broad range of topics including machine learning, natural language processing, computer vision, robotics, and intelligent systems. Throughout the program, students will explore the fundamental algorithms and data structures that enable intelligent behavior in computers, gaining competencies in programming languages such as Python, Java, and C++. The curriculum emphasizes hands-on experience through laboratory sessions, projects, and industry placements, ensuring graduates are well-prepared for careers in AI research, development, and application across various sectors such as healthcare, finance, autonomous vehicles, and more. Additionally, the program addresses ethical considerations and societal impacts of artificial intelligence, fostering responsible innovation. The faculty comprises experienced researchers and practitioners who guide students through innovative coursework and cutting-edge research opportunities. Students will also benefit from state-of-the-art facilities, modern computing labs, and collaborations with industry partners, providing real-world exposure. The program prepares graduates to pursue further postgraduate study or to enter the rapidly evolving job market with the skills necessary to develop intelligent systems that solve complex problems. Overall, Brunel’s Computer Science (Artificial Intelligence) degree is an excellent choice for students passionate about advancing technology and shaping the future of intelligent systems.

Detailed Course Facts

Application deadline January 15 Tuition fee

• GBP 9000 Year (EEA)
• GBP 14250 Year (Non-EEA)

£1,000 placement year

Start date September 2015 Duration full-time 36 months Languages Take an IELTS test

• English

Delivery mode On Campus Educational variant Full-time

Course Content

Level 1

Our Level 1 course meets the needs of students joining us from a wide variety of backgrounds and with diverse computing experience. These classes build a firm foundation for the rest of your degree by introducing you to the style and ethos of both the School and the computing profession.

Foundation units include:

• Systems architecture
• Systems analysis
• Software development
• Relevant mathematics

By the end of Level 1, regardless of your degree programme, you’ll have covered the fundamental concepts of computer science and information systems, with a particular emphasis on programming. You’ll then be ready to explore them in greater depth at Level 2.
See below for typical modules.
Level 2This consolidates Level 1 learning but places more emphasis on judgement and evaluation skills.
You’ll expand your understanding of:

• Processes for developing large and complex software systems
• Roles and technologies to help you control such projects
• Human-computer interface
• How to develop sound criteria such as 'user friendliness' – and make reliable and repeatable judgements based on them.

You’ll further specialise to cover systems analysis and design by the end of Level 2 – having also have studied foundation topics such as logic which leads into AI, operating systems and network architectures.
See below for typical modules.
Level 3

• Final year project

This is a substantial individual project for which you research an artificial intelligence topic in-depth. If you’re on a sandwich course it’s quite likely that this project will be of interest to future employers. This is assessed and is worth a third of your Level 3 marks.
In this final year, you’ll continue to specialise in artificial intelligence. At the same time you’ll study options to broaden your understanding of computing. You’ll begin to address research-level issues in areas such as software engineering, information systems, simulation modelling, digital media and games, network computing and artificial intelligence.
We revise the options available each year to reflect the range of specialist interests among our staff, and industry trends.
Typical modules
Level 1

• Level 1 Group Project
• Introductory Programming
• Data and Information
• Information Systems and Organisations
• Logic and Computation

Level 2

• Level 2 Group Project
• Software Development and Management
• Usability Engineering
• Algorithms and their Applications
• Networks and Operating Systems

Level 3

• Final Year Project in Artificial Intelligence
• Software Project Management
• Advanced Topics in Computer Science
• Artificial Intelligence

Level 3 Options (choose one)

• Software Engineering
• Network Computing
• Digital Media and Games

English Language Requirements

IELTS band : 6.5 CAE score : 60(Grade C)

To study at this university, you have to speak English. We advice you to

take an IELTS test. More About IELTS

Requirements

• GCE A-level ABB- BBB. Typical offer ABB.
• BTEC Level 3 Extended Diploma D*DD in a computing subject.
• BTEC Level 3 Diploma DD in a computing subject with an A-Level at grade A.
• BTEC Level 3 Subsidiary Diploma D in a related subject with A-Levels grade AB.
• International Baccalaureate Diploma 33 points.
• Access to Higher EducationDiploma Complete and pass a related subject Access course with 45 credits at Level 3, of which 30 credits must be at Distinction and 15 credits at Merit or higher.

GCSE Mathematics grade C and GCSE English grade C are also required.

English Language Requirements

• IELTS: 6.5 (min 5.5 in all areas)

• Pearson: 58 (51 in all subscores)

• BrunELT: 65% (min 55% in all areas)

Brunel also offers our own BrunELT English Test and accept a range of other language courses. We also have a range of Pre-sessional English language courses, for students who do not meet these requirements, or who wish to improve their English.

Our International Pathways and Language Centre offers a range of foundation and pre-masters courses to provide you with the academic skills required for your chosen course.

Work Experience

No work experience is required.

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Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Related Scholarships*

• Academic Excellence Scholarship

  "The Academic Excellence Scholarship can provide up to a 50 % reduction in tuition per semester. These scholarships will be renewed if the student maintains superior academic performance during each semester of their 3-year Bachelor programme. The scholarship will be directly applied to the student’s tuition fees."

• Access Bursary

  Bursary for UK students all subjects where the variable tuition fee rate is payable.

• Alumni Bursary

  Alumni Bursary for UK Undergraduate students

* The scholarships shown on this page are suggestions first and foremost. They could be offered by other organisations than Brunel University.

The BSc (Hons) Computer Science (Artificial Intelligence) at Brunel University London offers students a comprehensive education in the field of artificial intelligence within the broader context of computer science. This programme is designed to equip students with the fundamental principles of computing alongside advanced knowledge and practical skills in AI technologies. The curriculum covers essential topics such as machine learning, neural networks, natural language processing, robotics, data analytics, and computer vision. Students gain hands-on experience through laboratory work, projects, and industry placements, fostering their ability to develop innovative AI solutions for real-world problems.

The degree emphasizes not only technical competence but also critical thinking, problem-solving abilities, and understanding of the ethical implications of AI technologies. The programme is structured to provide a solid foundation in programming languages such as Python and Java, along with data structures, algorithms, and software engineering principles. Students have opportunities to engage with cutting-edge research and collaborate on projects with industry partners, ensuring their skills are relevant and up-to-date with technological advancements.

Brunel’s academic staff comprises experienced researchers and practitioners in AI and computer science fields, providing students with expert guidance and mentorship. The university is equipped with modern laboratories and computing facilities to support practical learning. As part of the programme, students are encouraged to participate in internships, industrial projects, and conferences, enhancing their employability in a competitive job market.

Graduates of this programme are prepared for diverse careers in AI development, data science, software engineering, robotics, and research. They may also pursue postgraduate studies or undertake roles in innovative tech companies, government agencies, or research institutions. The programme benefits from Brunel’s strong industry links and emphasis on applied learning, helping students transition smoothly into their professional careers upon graduation. Overall, the BSc (Hons) Computer Science (Artificial Intelligence) at Brunel University London aims to develop well-rounded, skilled AI specialists capable of contributing to technological advancement and innovation across various sectors.