Electronic Engineering with Artificial Intelligence BEng (Hons) - 2026/7

Awarding body

University of Surrey

Teaching institute

University of Surrey

Framework

FHEQ Level 6

Final award and programme/pathway title

BEng (Hons) Electronic Engineering with Artificial Intelligence
BEng (Hons) Engineering Science (Electronic and Artificial Intelligence)

Subsidiary award(s)

Award Title
Ord Electronic Engineering with Artificial Intelligence
DipHE Electronic Engineering with Artificial Intelligence
CertHE Electronic Engineering

Professional recognition

Institution of Engineering and Technology (IET)
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partially meeting the academic requirement for registration as a Chartered Engineer.

Modes of study

Route code Credits and ECTS Credits
Full-time UFA12053 360 credits and 180 ECTS credits
Full-time with PTY UFA12054 480 credits and 240 ECTS credits

QAA Subject benchmark statement (if applicable)

Engineering (Bachelor)

Other internal and / or external reference points

1. UK Standard for Professional Engineering Competence and Commitment (UK-SPEC, Engineering Council, August 2020) and associated Accreditation of Higher Education Programmes, version 4 (AHEP4, August 2020). 2. QAA Subject Benchmark Statement for Engineering (March 2023). 3. Academic Accreditation Information Pack for Higher Education Institutions, Institution of Engineering Technology (accessed 2023).

Faculty and Department / School

Faculty of Engineering and Physical Sciences - Computer Science and Electronic Eng

Programme Leader

QUDDUS Atta (CS & EE)

Date of production/revision of spec

06/08/2026

Educational aims of the programme

  • The overarching aim of the BEng in Electronic Engineering with Artificial Intelligence is to provide a broad education in electronic, electrical and computer engineering in the early stages of the programme with opportunities for the student to specialise in the later stages. The programme is designed to provide opportunities for students to demonstrate their understanding and application of their knowledge of the study of computer hardware, coding and software of artificial intelligence. An individual project will be chosen by the student in Year 3 allowing them to assist with professional career development as a graduate engineer within industry or to serve as a precursor to academic research.
  • To ensure that our BEng programmes partly meet the education requirements for Chartered Engineer status and the MEng programmes completely satisfy the CEng educational requirements thereby allowing our graduates to obtain professional recognition.
  • To produce graduates equipped with subject specific knowledge and transferable skills aligned to the Surrey Pillars of graduate attributes and graduates capable of planning and managing their own life-long learning to equip them for roles in industry, in research, in development, in the professions, and/or in public service.
  • To provide opportunities for students to demonstrate their knowledge and understanding of the role of the engineer in society and application of ethical and societal, including equality, diversity and inclusion, principles within an engineering context.
  • To provide opportunities for students to demonstrate their knowledge, understanding and application of design principles in the creation and development of innovative products to meet a defined need.
  • To provide opportunities for students to demonstrate their knowledge, understanding and application of engineering concepts and tools in analysis of engineering problems.
  • To provide opportunities for students to demonstrate their knowledge, understanding and application of engineering practice including the importance of project management, teamwork, and communication within an engineering context.
  • To provide opportunities for students to demonstrate their knowledge, understanding and application of mathematical, scientific, and engineering principles.
  • To provide opportunities for undergraduate students to enhance their digital capabilities through the use of assignments and projects making various use of programming languages as well as enhancing their general transferable information technology skills in the analysis of data, and via the preparation of assignments, individual and group reports and presentations.
  • To provide opportunities for undergraduate students to enhance their employability skills via participation in a professional training year in industry. Students' employability skills will also be enhanced by opportunities to master their problem solving skills as they advance from well-structured problems to open-ended problems, group and individual project.
  • To provide opportunities for undergraduate students to enhance their global and cultural intelligence through working with students from around the world and working on a rich variety of assignments and individual and group projects appropriate to their programme.
  • To provide opportunities for undergraduate students to enhance their knowledge and awareness of sustainability via consideration of sustainability issues such as the UN's Sustainability Development Goals appropriate to their programme.
  • To provide opportunities for undergraduate students to enhance their resourcefulness and resilience skills via use of authentic style coursework and assignments, working in teams and undertaking a major individual project in Year 3. This will build up a student's personal confidence as they advance from well-structured problems to open-ended problems and individual and group project work.
  • To provide relevant professional experience to students on programmes incorporating a Professional Training Year as a route to improve their employability.

Programme learning outcomes

Attributes Developed Awards Ref.
Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems in electronic engineering, computer engineering and artificial intelligence. K Ord, BEng (Hons) C1
Analyse complex problems to reach substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles in electronic engineering, computer engineering and artificial intelligence. KC Ord, BEng (Hons) C2
Select and apply appropriate computational and analytical techniques to model complex problems, recognising the limitations of the techniques employed in electronic engineering, computer engineering and artificial intelligence. KCT Ord, BEng (Hons) C3
Select and evaluate technical literature and other sources of information to address complex problems in electronic engineering, computer engineering and artificial intelligence. CPT Ord, BEng (Hons) C4
Design solutions for complex problems that meet a combination of societal, user, business and customer needs as appropriate to include consideration of applicable health + safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards in electronic engineering, computer engineering and artificial intelligence. CPT Ord, BEng (Hons) C5
Apply an integrated or systems approach to the solution of complex problems in electronic engineering, computer engineering and artificial intelligence. KC Ord, BEng (Hons) C6
Evaluate the environmental and societal impact of solutions to complex problems and minimise adverse impacts CPT Ord, BEng (Hons) C7
Identify and analyse ethical concerns and make reasoned ethical choices informed by professional codes of conduct PT Ord, BEng (Hons) C8
Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity PT Ord, BEng (Hons) C9
Adopt a holistic and proportionate approach to the mitigation of security risks PT Ord, BEng (Hons) C10
Adopt an inclusive approach to engineering practice and recognise the responsibilities, benefits and importance of supporting equality, diversity and inclusion PT Ord, BEng (Hons) C11
Use practical laboratory and workshop skills to investigate complex problems P Ord, BEng (Hons) C12
Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations KC Ord, BEng (Hons) C13

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Programme structure

Full-time

This Bachelor's Degree (Honours) programme is studied full-time over three academic years, consisting of 360 credits (120 credits at FHEQ levels 4, 5 and 6). All modules are semester based and worth 15 credits with the exception of project, practice based and dissertation modules.
Possible exit awards include:
- Bachelor's Degree (Ordinary) (300 credits)
- Diploma of Higher Education (240 credits)
- Certificate of Higher Education (120 credits)

Full-time with PTY

This Bachelor's Degree (Honours) programme is studied full-time over four academic years, consisting of 480 credits (120 credits at FHEQ levels 4, 5, 6 and the optional professional training year). All modules are semester based and worth 15 credits with the exception of project, practice based and dissertation modules.
Possible exit awards include:
- Bachelor's Degree (Ordinary) (300 credits)
- Diploma of Higher Education (240 credits)
- Certificate of Higher Education (120 credits)

Programme Adjustments (if applicable)

N/A

Modules

Professional Training Year (PTY) - Professional Training Year

Module code Module title Status Credits Semester
EEEP014 PROFESSIONAL TRAINING MODULE Core 120 Year-long

Module Selection for Professional Training Year (PTY) - Professional Training Year

Students should select either EEEP012 or EEEP013.

Opportunities for placements / work related learning / collaborative activity

Associate Tutor(s) / Guest Speakers / Visiting Academics Y
Professional Training Year (PTY) Y
Placement(s) (study or work that are not part of PTY) N
Clinical Placement(s) (that are not part of the PTY scheme) N
Study exchange (Level 5) Y
Dual degree N

Other information

The School of Computer Science and Electronic Engineering is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability, and Resourcefulness and Resilience.

Digital Capabilities: Students develop advanced digital skills through programming in C and C++, computational intelligence, natural language processing, and AI methods. They learn coding standards, software development, algorithms, data structures, and microprocessor architecture and performance analysis. Practical laboratories reinforce hardware-software integration, data security through Data Management Plans, and professional communication through reports and presentations.

Employability: Practical laboratories, design modules, and professional studies develop competence in circuit design, implementation, testing, validation, verification, and AI-enabled engineering solutions. The Final Year Project strengthens project management, analytical thinking, technical communication, and independent problem-solving of AI techniques.

Global and Cultural Capabilities: Students collaborate with staff and other students from diverse cultural backgrounds to gain appreciation of how engineering is used in different parts of the world. Group projects in Year 3 will allow opportunities to discuss ethical concerns within the Royal Academy of Engineering ethical framework.

Resourcefulness and Resilience: Practical work and individual projects develop adaptability, debugging, fault-finding, engineering judgement, and decision-making. Students evaluate alternative design solutions, structured risk assessment and recognise the limitations of assumptions underpinning AI applications.

Sustainability: Students consider sustainable component selection and align project work with the UN Sustainable Development Goals, demonstrating how electronic engineering and AI contribute to sustainable technologies and responsible innovation.

Quality assurance

The Regulations and Codes of Practice for taught programmes can be found at:

https://www.surrey.ac.uk/quality-enhancement-standards

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2026/7 academic year.