Artificial Intelligence (Including Year Abroad)

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https://www.essex.ac.uk/courses/UG01499/1/BSc-Artificial-Intelligence?startdate=27-10&coursecode=I403

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Mathematics grades can be from either the HKDSE or 60%/C/3 from Secondary 4, 5 or 6.

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BSc (Hons) Artificial Intelligence Degree | University of Essex

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BSc (Hons) Artificial Intelligence

Undergraduate Course

(including Year Abroad)

Start date

October 2026

October 2027

Study mode

Full Time

Course options

+ Placement Year

+ Year Abroad

Ask a question

Get a prospectus

Overview

Course content

Entry requirements

What's next?

Open Day Registration

How to apply

The details

Artificial Intelligence (including Year Abroad)

UCAS code:

Start date:

Study mode:

Full-time

Duration:

Location:

Based in:

Computer Science and Electronic Engineering (School of)

What is the BSc (Hons) Artificial Intelligence?

The BSc (Hons) Artificial Intelligence is a three-year degree, extendable to four with an optional year in placement or abroad.

You’ll gain expertise that is in huge demand within the UK industry, with a strong understanding of theoretical and practical aspects of AI. You’ll also build a strong foundation in core computer science theory and explore its real-world applications, preparing you create new technologies that will transform our daily lives.

Why this course

The BSc (Hons) Artificial Intelligence gives you a comprehensive perspective of the current developments, needs and potential of AI models, algorithms and systems.

You’ll study a broad curriculum shaped by industry partners, gaining the most up-to-date understanding of computer science. Discover which areas you’re interested in exploring further such as assistive technologies, computer games, Big Data and robotics.

Add a placement year or study abroad to put your learning into practice, expand your perspective and build confidence in professional or international settings.

By graduation, you’ll have the confidence and ability to apply AI to a range of disciplines and sectors. You’ll be ready for careers in software and systems analysis, engineering and programming.

Who should apply

Future programmers and engineers

Those wanting to use AI applications to revolutionise people’s lives

Students eager to develop their own computer games, apps, online platforms and digital systems

Computational thinkers with great grasp of pattern recognition and algorithms

What you’ll learn

AI: Investigate a range of machine learning techniques and language engineering

Programming: Learn to programme with multiple programming languages

Data: Explore ways to work with data from data structures to Big Data

Digital systems: Grasp the software and hardware underpinning digital computer systems

Specialise: Tailor your degree through your choice of optional modules

Your learning experience

Optional study abroad year: Spend a year at one of our partner universities and experience another culture with the Study Abroad programme

Optional placement year: Gain professional experience in a business or organisation with university support from Placements at Essex

Expert teaching: Learn from leading researchers revolutionising industries such as agriculture and healthcare

Specialist facilities: Access 24/7 computing labs with a range of programming software and specialist facilities for brain-computer interfaces, intelligent environments and more

Employability support: Take work-based learning modules with live employer projects or a placement

Careers and outcomes

A BSc (Hons) Artificial Intelligence degree prepares you for diverse careers in:

Business: AI adoption, compliance, data analysis, automation, consultancy

IT: Computer and information research, computer network architecture, database systems administration, security analysis

Engineering: Design, development, research, diagnostics, manufacture

Healthcare: Health information and technology, clinical data and systems administration

Computer games: Development, programming

Why we're great.

9th for student positivity in artificial intelligence (National Student Survey 2026, English broad-discipline institutions)

Top 250 (Top 25 in the UK) for computer science in THE World University Rankings by Subject 2026

89% of our undergraduate computing graduates are in employment or further study (Graduate Outcomes 2026)

Meet the researchers

Professor Hani Hagras

Expert in AI

School of Computer Science and Electronic Engineering, University of Essex

Hani has 25 years' experience teaching and researching at Essex. He is Director of Impact, Director of the Computational Intelligence Centre and Head of the Artificial Intelligence Research Group within the School. Having authored over 500 papers, he was named amongst the top 2% of the most-cited scientists in the world (Scopus 2024) and his research has won numerous prestigious international awards, including from the IEEE Computational Intelligence Society.

Dr Haider Raza

Haider is a Senior Lecturer with over 15 years' experience in university teaching and research around the world. He is a member of the Artificial Intelligence Research Group within the School. He is deeply passionate about using technology to revolutionise healthcare, from leading Innovate UK-funded projects to analyse healthcare data to brain-computer interfacing for neurorehabilitation.

Not sure this course is for you?

Explore all computer science degrees at Essex

Explore all engineering degrees at Essex

Explore all robotics degrees at Essex

Browse all degrees at the University of Essex

Course structure

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation.

We understand that deciding where and what to study is a very important decision for you. We'll make all reasonable efforts to provide you with the courses, services and facilities as described on our website and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.

Components and modules explained

Components

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

What this means

You must take the set module for this component and you must pass. No failure can be permitted.

Core with Options

You can choose which module to study from the available options for this component but you must pass. No failure can be permitted.

Compulsory

You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.

Compulsory with Options

You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.

Optional

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code. For example, the module code HR100-4-FY means:

The department or school the module will be taught by.

In this example, the module would be taught by the Department of History.

The module number.

The UK academic level of the module.

A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course.

A standard postgraduate taught course will comprise of level 7 modules.

A postgraduate research degree is a level 8 qualification.

The term the module will be taught in.

AU: Autumn term

SP: Spring term

SU: Summer term

FY: Full year

AP: Autumn and Spring terms

PS: Spring and Summer terms

AS: Autumn and Summer terms

Year Abroad

Final Year

COMPONENT 01: CORE

Team Project Challenge

(15 CREDITS)

Our Team Project Challenge gives you the opportunity to develop a range of professional skills by working as part of a small student team on a specific project. The projects are research-based and incorporate the concepts of specifications, design, and implementation. You’ll learn about sustainability, project and time management, design, legal issues, health and safety, data analysis and presentation, team reporting, and self-evaluation.

You’ll also develop skills such as critical thinking and problem solving, agility, leadership, collaboration across networks, and effective oral and written communication, as well as curiosity and imagination, all of which will enhance your knowledge, confidence and social skills necessary to innovate and succeed in a competitive global environment.

View Team Project Challenge on our Module Directory

COMPONENT 02: CORE

Mathematics for Computing

The aim of this module is to cover fundamental mathematics for Computer Scientists. It does not assume A-level mathematics, and the emphasis and delivery will be on understanding the key concepts as they apply to Computer Science.

View Mathematics for Computing on our Module Directory

COMPONENT 03: CORE

Introduction to Programming

The aim of this module is to provide an introduction to the fundamental concepts of computer programming. After completing this module, students will be expected to be able to demonstrate an understanding of the basic principles and concepts that underlie the procedural programming model, explain and make use of high-level programming language features that support control, data and procedural abstraction. Also, they will be able to analyse and explain the behaviour of simple programs that incorporate standard control structures, parameterised functions, arrays, structures and I/O.

View Introduction to Programming on our Module Directory

COMPONENT 04: CORE

Introduction to Databases

Databases are everywhere. They are employed in banking, production control and the stock market, as well as in scientific and engineering applications. For example, the Human Genome Project had the goal of mapping the sequence of chemical base pairs which make up human DNA. The result is a genome database. This module introduces the underlying principles of databases, database design and database systems. It covers the fundamental concepts of databases, and prepares the student for their use in commerce, science and engineering.

View Introduction to Databases on our Module Directory

COMPONENT 05: CORE

Fundamentals of Digital Systems

Computers, embedded systems, and digital systems in general have become an essential part of most people's lives, whether directly or indirectly. The aim of this module is to introduce the software and hardware underpinnings of such systems at an introductory yet challenging level suitable for future computer scientists and engineers. Topics covered in the module include both top-view as well as bottom-view approaches to understanding digital computers. They range from the more theoretical (e.g., state machines, logic circuits, and von Neumann's architecture) to the more practical (e.g., how transistors produce binary signals, operating system functions, memory management, and common hardware devices). The module also includes problem solving classes in which a guided discussion of weekly exercises is aimed at giving the student an opportunity to consolidate his/her understanding of the topics involved. Upon completion of this module, students should have a good conceptual and practical understanding of the nature and architecture of digital computer systems and their components.

View Fundamentals of Digital Systems on our Module Directory

COMPONENT 06: CORE

Object-Oriented Programming

Want to become a Java programmer? Topics covered in this module include control structures, classes, objects, inheritance, polymorphism, interfaces, file I/O, event handling, graphical components, and more. You will develop your programming skills in supervised lab sessions where help will be at hand should you require it.

View Object-Oriented Programming on our Module Directory

COMPONENT 07: CORE

Web Development

The aim of this module is to provide students with an introduction to the principles and technology that underlie internet applications and the techniques used in the design and construction of web sites. Students showcase their skills by designing and building both client and server components of a data driven web site.

View Web Development on our Module Directory

COMPONENT 08: CORE

Data Structures and Algorithms I

Data structures and algorithms are two of the foundations of computer science, distinguishing it from just programming. In this module, you will learn what algorithms are and how they can be implemented even in very simple computers. You will cover fundamental algorithms for sorting and searching, along with data structures for lists and trees, and will be introduced to the analysis of algorithm efficiency.

View Data Structures and Algorithms I on our Module Directory

This course covers the principles of project management, team working, communication, legal issues, finance, and company organisation. Working in small teams, students will go through the full project life-cycle of design, development and implementation, for a bespoke software requirement. In this course, students gain vital experience to enable them to enter the computer science/Electrical engineering workforce, with a degree backed by the British Computer Society, and by the Institute of Engineering and Technology.

Software Engineering

This module aims to equip students with the main principles guiding the activities involved in software development throughout its lifecycle, including software requirements, object-oriented analysis and design, software validation and testing, and software maintenance and software evolution.

View Software Engineering on our Module Directory

Application Programming

This module extends the students' knowledge and skills in object-oriented application programming by a treatment of further Java language principles and of important Application Programming Interfaces (APIs). The Java Collections API is explored in some more detail with emphasis on how to utilise these classes to best effect. A particular focus will be on the interaction with databases (e.g. via JDBC) and on writing secure applications.

View Application Programming on our Module Directory

Data Structures and Algorithms II

Data structures and algorithms lie at the heart of Computer Science as they are the basis for the efficient solution of programming tasks. In this module, students will study core algorithms and data structures, as well as being given an introduction to algorithm analysis and basic computability.

View Data Structures and Algorithms II on our Module Directory

Introduction to Artificial Intelligence

Artificial intelligence will be a great driver of change in the coming decades. This module provides an introduction to three fundamental areas of artificial intelligence: search, knowledge representation, and machine learning. These underpin all more advanced areas of artificial intelligence and are of central importance to related fields such as computer games and robotics. Within each area, a range of methodologies and techniques are presented, with emphasis being placed on understanding their strengths and weaknesses and hence on assessing which is most suited to a particular task.

View Introduction to Artificial Intelligence on our Module Directory

Introduction to Data Science

This module is designed to provide an introduction to the statistical principles used in data science and their applications, and the use of practical programming packages for data analysis and visualisation.

You will also study data analysis techniques, including causal inference, correlation, classification, regression, and clustering.

View Introduction to Data Science on our Module Directory

COMPONENT 07: CORE WITH OPTIONS

Option(s) from list

(30 CREDITS)

COMPONENT 01: COMPULSORY

Abroad Module 120 Credits

(120 CREDITS)

View Abroad Module 120 Credits on our Module Directory

Individual Capstone Project Challenge

(45 CREDITS)

The highlight of our undergraduate degree courses is the individual capstone project. This project module provides students with the opportunity to bring together all the skills they have gained during their degree and demonstrate that they can develop a product from the starting point of a single 1/2 page description, provided either by an academic member of staff or an external company. In all the student spends 450 hours throughout the academic year, reporting to their academic tutor, and in the case of company projects, to a company mentor. All projects are demonstrated to external companies on our Project Open Day.

View Individual Capstone Project Challenge on our Module Directory

Natural Language Engineering

As humans we are adept in understanding the meaning of texts and conversations. We can also perform tasks such as summarize a set of documents to focus on key information, answer questions based on a text, and when bilingual, translate a text from one language into fluent text in another language. Natural Language Engineering (NLE) aims to create computer programs that perform language tasks with similar proficiency. This course provides a strong foundation to understand the fundamental problems in NLE and also equips students with the practical skills to build small-scale NLE systems. Students are introduced to three core ideas of NLE: a) gaining an understanding the core elements of language--- the structure and grammar of words, sentences and full documents, and how NLE problems are related to defining and learning such structures, b) identify the computational complexity that naturally exists in language tasks and the unique problems that humans easily solve but are incredibly hard for computers to do, and c) gain expertise in developing intelligent computing techniques which can overcome these challenges.

View Natural Language Engineering on our Module Directory

Machine Learning

This module provides an introduction to machine learning techniques, ranging from supervised learning, unsupervised learning, and deep learning.

Also included are the evaluation metrics and procedures of various learning methods. The module focuses on classification and regression learning tasks and their applications to real-world problems.

View Machine Learning on our Module Directory

Computer Vision

Computer vision is the discipline that tries to understand the content of images and videos. It has an extraordinarily wide range of applications; well-known ones include inspection on production lines, reading number plates, mixing live and computer-generated action in movies, and recognising faces. However, researchers are working on applications such as driverless cars, building 3D models from photographs, robot navigation, gaming interfaces, and automated medical diagnosis -- in fact, whenever you as a human looks at the world and try to understand what you see is fair game for computer vision. This module introduces you to the principles of computer vision through a series of lectures and demonstrations. You have an opportunity to learn how to use these principles and algorithms on real-world vision problems in the associated laboratories using the industry-standard toolkit, OpenCV.

View Computer Vision on our Module Directory

COMPONENT 05: CORE WITH OPTIONS

Placement

On a placement year you gain relevant work experience within an external business or organisation, giving you a competitive edge in the graduate job market and providing you with key contacts within the industry. The rest of your course remains identical to the three-year degree.

Year abroad

On your year abroad, you have the opportunity to experience other cultures and languages, to broaden your degree socially and academically, and to demonstrate to employers that you are mature, adaptable, and organised. The rest of your course remains identical to the three-year degree.

Teaching

Courses are taught by a combination of lectures, laboratory work, assignments, and individual and group project activities.

Undergraduate students in the School of Computer Science and Electronic Engineering typically attend a two-hour lecture and a two-hour lab for each 15-credit module.

A significant amount of practical lab work will need to be undertaken for written assignments and as part of your learning.

Assessment

In your first year, you will have exams before the start of term in January.

You are assessed through a combination of written examinations and coursework.

All our modules include a significant coursework element.

You receive regular feedback on your progress through in-term tests.

UK entry requirements

GCSE: Mathematics C/4.

Plus one of the level 3 qualifications below:

112 UCAS tariff points from a minimum of the equivalent of 2 full A-levels.

IB: 29 points in the IB Diploma or 112 UCAS tariff points to include a minimum of 2 Higher Level subjects. Our Maths requirement can be met with either: 2 in Standard level Maths; 2 in Higher level Maths; or 4 in IB Middle Years Maths.

We accept A-levels, AAQs, BTECs, Access to HE Diploma, T-levels and most other qualifications that hold UCAS tariff points. Acceptability of some non A-level qualifications (such as BTECs) may depend on the subject studied and units taken.

You can calculate your UCAS tariff points on the UCAS website.

Whilst International A-levels and BTECs aren't on the UCAS tariff calculator, we assign them the same tariff points as their UK counterparts.

Don't meet the entry requirements?

We know everyone's journey is different. If your achieved or predicted grades don’t match our entry requirements, you have a non-traditional educational background, or you're returning to study as a mature student, we'd still encourage you to apply. We review every application individually and may be able to offer you a place on this course, or an alternative route such as a foundation year.

Find out more about applying, personal statements, references, visas, deferred entry, extenuating circumstances, and support for mature students on our undergraduate application information page.

Contextual Offers:

We are committed to ensuring that all students with the merit and potential to benefit from an Essex education are supported to do so. We make Contextual Offers to applicants from underrepresented groups residing in the UK. Our Contextual Offers policy outlines the full eligibility criteria.

GCSE Mathematics C/4 plus

96 UCAS tariff points from a minimum of 2 full A-levels.

International & EU entry requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

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ZIMBABWE

Sorry, the entry requirements for the country that you have selected are not available here. Please contact our Undergraduate Admissions team at ugquery@essex.ac.uk to request the entry requirements for this country.

English language requirements

English language requirements for applicants whose first language is not English

IELTS 6.0 overall with a minimum of 5.5 in each component, or specified score in an equivalent test that we accept.

Details of English language requirements and the tests we accept for applicants who require a Student visa (excluding Nationals of Majority English Speaking Countries) can be found here

If we accept the English component of an international qualification it will be included in the academic levels listed above for the relevant countries.

Pre-sessional English courses

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Additional Notes

If you’re an international student, but do not meet the academic requirements for direct admission to this degree, you could prepare and gain entry through a pathway course. Find out more about opportunities available to you at the University of Essex International College

Home/UK fee

£10,050 per year

International fee

£26,325 per year

Fees will increase for each academic year of study.

If your course has the option to include a placement year or study abroad, and you choose to do so, you will pay the following:

Placement year

20% of your standard tuition fee for that year

Full year abroad

15% of your standard tuition fee for that year

Single term abroad

Standard tuition fee

Scholarships and financial support

There may be scholarships, bursaries or discounts available to help with the cost of this course.

Fees and funding guide

Home/UK fees and funding information

International fees and funding information

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