Undergraduate Course

BSc Artificial Intelligence

(including Foundation Year)

Now In Clearing
BSc Artificial Intelligence

Overview

The details
Artificial Intelligence (including Foundation Year)
I401
October 2022
Full-time
4 years
Colchester Campus
Essex Pathways

Artificial intelligence (AI) has become increasingly important in addressing complex problems faced in many different aspects of our society, including economics, business, healthcare, medicine, education and agriculture. With recent developments in AI techniques and large-scale computing infrastructure, the exploitation of big data further pushes forward on all fronts. This rapid advance leads to a growing demand for students who can understand and exploit AI.

Our BSc Artificial Intelligence (including foundation year) course is open to Home and EU students. It will be suitable for you if your academic qualifications do not yet meet our entrance requirements for the three-year version of this course and you want a programme that increases your subject knowledge as well as improves your English language and academic skills.

This four-year course includes a foundation year (Year Zero), followed by a further three years of study. During your Year Zero, you study four academic subjects relevant to your chosen course as well as a compulsory English language and academic skills module.

You are an Essex student from day one, a member of our global community based at the most internationally diverse campus university in the UK.

After successful completion of Year Zero in our Essex Pathways Department, you progress to complete your course with our School of Computer Science and Electronic Engineering.

Our BSc Artificial Intelligence (including foundation year) course aims to prepare you for meeting this demand. You will obtain a comprehensive perspective of the current developments, the needs and the potential of AI by learning about AI models, algorithms, and systems.

You’ll be equipped with solid knowledge of computer science and will gain a strong understanding of theoretical and practical aspects in AI. You will also gain expertise that is in huge demand within the UK industry, and will be made competitive within a plethora of recruiting sectors in the country and beyond.

Throughout the course, you will study a range of topics such as:

  • Computer science
  • Artificial intelligence
  • Data science
  • Machine learning
  • Natural language processing
  • Computer vision
  • Robotics

You’ll also be able to take specialist modules in order to pursue your own interests and develop your knowledge in these areas. You are able to learn several programming languages and apply your knowledge across a range of AI applications.

Why we're great.
  • Use our world-class research facilities, such as our Brain-Computer Interface (BCI) lab and our Robotics Arena.
  • Work alongside our academic staff who actively conduct cutting-edge research in AI and its related fields.
  • Choose a range of specialised optional modules to develop your own interests in AI applications.

Our expert staff

Essex has a long-standing tradition of research into artificial intelligence. It was one of the first UK universities to house a central research activity in artificial intelligence in the Department of Computer Science (which has since become the School of Computer Science and Electronic Engineering).

Our research ranges from the theoretical modelling of decision making to the design and implementation of software systems deployed in the real world. The research our staff focus on includes building systems and doing theoretical research which model, support or nudge decision making of autonomous entities. In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments, robotics, and financial forecasting.

Specialist facilities

By studying within our Essex Pathways Department for your foundation year, you will have access to all of the facilities that the University of Essex has to offer, as well as those provided by our Academy to support you:

  • We provide computer labs for internet research; classrooms with access to PowerPoint facilities for student presentations; AV facilities for teaching and access to web-based learning materials
  • Our new Student Services Hub will support you and provide information for all your needs as a student
  • Our social space is stocked with hot magazines and newspapers, and provides an informal setting to meet with your lecturers, tutors and friends

Our School of Computer Science and Electronic Engineering is one of the largest and best resourced in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.

  • We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress.
  • All computers run either Windows 10 or are dual boot with Linux.
  • Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project.
  • Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET).
  • We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors.

Your future

The course will give you transferable skills such as the ability to develop and present arguments, as well as the ability to work independently and in groups. With a skillset that combines both technical and analytical know-how from our School of Computer Science and Electronic Engineering, you will be able to find employment in very competitive institutions in a wide range of disciplines.

Read more about computer science and electronic engineering career destinations here.

Entry requirements

Clearing entry requirements

Specific entry requirements for this course in Clearing are not published here but for most of our degree courses you will need to hold a Level 3 qualification. If you are interested in applying and have already received your results, use our Clearing application form to apply for 2022 entry and find out if you are eligible. You will be asked to provide details of your qualifications and grades.

English language requirements

English language requirements for applicants whose first language is not English: IELTS 5.5 overall. Specified component grades are also required for applicants who require a Student visa to study in the UK.

Other English language qualifications may be acceptable so please contact us for further details. If we accept the English component of an international qualification then it will be included in the information given about the academic levels required. Please note that date restrictions may apply to some English language qualifications

If you are an international student requiring a Student visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.

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

Our Year 0 courses are only open to UK and EU applicants. If you’re an international student, but do not meet the English language or academic requirements for direct admission to your chosen 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.

Structure

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. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, 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.

Status What this means
Core
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
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.

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

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:

HR 100  4  FY

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

COMPONENT 01: CORE

Computers and Electronics
(30 CREDITS)

Want to use a modern Unix/Linux based operating system? To build and text digital logic circuits and electronic circuits with a computer-based electronics simulator? Gain fundamental knowledge in computer science and electronic engineering. Understand computer architectures and components, and operating systems. Examine the principles of electronics and simple electronic circuits.

View Computers and Electronics on our Module Directory

COMPONENT 02: CORE

Mathematics for Computer Science
(30 CREDITS)

The module covers the mathematical skills needed to proceed to any degree course within computer science. The syllabus covers the mathematics of basic arithmetic, algebra and graphs, finite summations and series, converting between and using different number systems and differentiation. The associated work in classes and lab sessions develops the skills used to solve relevant problems, with classwork and online assignments being set and full solutions provided as part of the feedback process.

View Mathematics for Computer Science on our Module Directory

COMPONENT 03: CORE

Computer Programming
(30 CREDITS)

How do you test and evaluate the operation of simple computer programs? Or develop a program using tools in the Python programming language? Study the principles of procedural computing programming. Examine basic programming concepts, structures and methodologies. Understand good program design, learn to correct coding and practice debugging techniques.

View Computer Programming on our Module Directory

COMPONENT 04: CORE

Research and Academic Development Skills
(30 CREDITS)

This blended-learning module is designed to support students in their academic subject disciplines and to strengthen their confidence in key skills areas such as: academic writing, research, academic integrity, collaborative and reflective practices. The students are supported through the use of subject-specific materials tailored to their chosen degrees with alignment of assessments between academic subject modules and the skills module.

View Research and Academic Development Skills on our Module Directory

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
(15 CREDITS)

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
(15 CREDITS)

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
(15 CREDITS)

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
(15 CREDITS)

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
(15 CREDITS)

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
(15 CREDITS)

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

Network Fundamentals
(15 CREDITS)

This module introduces the fundamentals of networking including wiring and configuration of switches and routers and associated subnetting. Laboratory sessions give practical hands on experience in our purpose built networking lab. The module uses the Cisco CCNA exploration Network Fundamentals course which is the first of four Cisco courses that can be used to obtain a Cisco CCNA qualification and participants will gain the CCNA1 qualification whilst on this course.

View Network Fundamentals on our Module Directory

COMPONENT 01: CORE

Team Project Challenge
(15 CREDITS)

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.

View Team Project Challenge on our Module Directory

COMPONENT 02: CORE

Software Engineering
(15 CREDITS)

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

COMPONENT 03: CORE

Application Programming
(15 CREDITS)

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

COMPONENT 04: CORE

Data Structures and Algorithms
(15 CREDITS)

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 on our Module Directory

COMPONENT 05: CORE

Introduction to Artificial Intelligence
(15 CREDITS)

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

COMPONENT 06: CORE

Introduction to Data Science
(15 CREDITS)

COMPONENT 07: CORE WITH OPTIONS

Option(s) from list
(30 CREDITS)

COMPONENT 01: CORE

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

COMPONENT 02: CORE

Natural Language Engineering
(15 CREDITS)

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

COMPONENT 03: CORE

Machine Learning
(15 CREDITS)

COMPONENT 04: CORE

Computer Vision
(15 CREDITS)

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

Option(s) from list
(30 CREDITS)

Teaching

Lectures are the principal method of delivery for the concepts and principles involved in achieving the learning outcomes. You’ll also be directed to read from textbooks, academic papers and material available on-line. Understanding is reinforced by means of exercise classes, discussion groups, laboratories, assignments and project work. Specialist knowledge is further developed during supervision of your final-year project.

Assessment

Modules on this course are assessed on the results of written examinations, together with continual assessments of practical work and coursework.

Fees and funding

Home/UK fee

£9,250

International fee

£17,700

Fees will increase for each academic year of study.

Home/UK fees and funding information

International fees and funding information

What's next

Open Days

Our events are a great way to find out more about studying at Essex. We run a number of Open Days throughout the year which enable you to discover what our campus has to offer. You have the chance to:

  • tour our campus and accommodation
  • find out answers to your questions about our courses, student finance, graduate employability, student support and more
  • meet our students and staff

Check out our Visit Us pages to find out more information about booking onto one of our events. And if the dates aren’t suitable for you, feel free to book a campus tour here.

2022 Open Days (Colchester Campus)

  • Saturday, September 17, 2022
  • Saturday, October 22, 2022

How to apply during Clearing

Once you’ve checked that we have the right course for you, applying couldn’t be simpler. Fill in our quick and easy Clearing application form with as much detail as you can. We’ll then take a look and get back to you with a decision.

Interviews

We don’t interview all applicants during Clearing, however, we will only make offers for the following courses after a successful interview:

  • BA Multimedia Journalism
  • BSc Nursing (Adult)
  • BSc Nursing (Mental Health)
  • BA Social Work

The interview allows our academics to find out more about you, and in turn you’ll be able to ask us any questions you might have. Further details will be emailed to you if you are shortlisted for interview.


Apply now
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The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications. The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.

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