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Introduction

Location

Wheatley

Course Length


BSc: 3 years

Why choose this course?

In your first year, we will introduce you to the core principles of computer science. This grounding is vital for the rest of your degree and prepares you for the study of AI. Together, we will delve into Problem Solving and Programming, Object-Oriented Programming and Applications of Computer Science.

In year 2, you will start to build on the skills you have gained. You will train in artificial intelligence, software development, and foundations of cyber security. During this year, we will encourage you to consider taking a work placement before your third year.

Your final year will stretch you further. You will study Deep Learning, Internet of Things, and Cognitive Robotics. You will get the chance to complete an individual project – a great opportunity to showcase your learning. Throughout the course, you will grapple with big questions, such as “What are the ethical limits of AI?”

The possibilities created by AI are many. That is why we actively encourage students of diverse backgrounds to join our community.

Learning and teaching

On this course you'll study theory and develop a strong set of practical skills.

Our teaching takes a very practical approach, using:
 lectures
 practical sessions
 apprentice style learning
 hands on exercises.

Overview

Autonomous vehicles. Deep learning. Robotics. We are committed to harnessing technology to solve big problems. Do you enjoy logical problem solving? Do you want to join an exciting, fast-moving industry? Then our Artificial Intelligence degree could be the course for you.

Our degree is widely regarded. It will place you at the cutting edge of global AI developments. It will also equip you – both practically and theoretically – to meet the needs of the real world.

While we are committed to teamwork, we are also committed to seeing you thrive as an individual. We will work with you to develop the skills employers are looking for in AI graduates.

Our academic staff are all researchers with strong links to industry. They will help expand your technical skills and knowledge of the industry. And you can join our award-winning racing team for the chance to be part of the evolution in road travel.

Modules

Year 1

Compulsory modules

• Problem Solving and Programming (30 credits)
• Introduction to OOP (15 credits)
• Introductory Robotics (30 credits)
• Mathematics for Computing (15 credits)

• Basic Communications and PC Networking, MCEL4001 (30 credits)

This is a foundational module designed to equip you with an in-depth understanding of communication networks and their application in a real-world context. This module aims to provide a comprehensive introduction to the basic principles of computer networking, focusing on layered network models, and the design, connection, configuration, and testing of computer networks that involve PCs, switches, and routers. Hands-on laboratory experiments will allow you to implement and validate network designs using a range of analytical and simulation tools, reinforcing theoretical knowledge with practical application.

Upon successful completion of this module, you will have a firm grasp of the principles that underpin communication networks. This module is an engaging introduction into the world of communications and PC networking and a first step towards becoming a proficient network designer and operator.

Year 2

Compulsory modules

• Foundations of Computation (15 credits)
• Software Development in C and C++ (15 credits)
• Databases (15 credits)
• Innovative Product Development (30 credits)

• Data Structure and Algorithms (15 credits)

In this module you will delve deeper into the world of programming, expanding your expertise and confidence in various key areas. This module is designed to enhance your programming skills to the point where you can confidently utilise recursion, perform effective testing, and manipulate essential data structures like graphs and trees. Through engaging with these concepts, you will acquire valuable knowledge and practical skills that will empower you in the field of computer science.

By the end of this module, you will be able to create and anticipate the behaviour of programs that employ data structures such as graphs and trees. You will develop the ability to devise comprehensive test plans for programs, ensuring their effectiveness and reliability. Furthermore, you will be capable of creating and comprehending programs that leverage recursion, a powerful technique for solving complex problems.

• Foundation of Security (15 credits)

• Advanced AI (15 credits)

This module reinforces and builds on key modelling skills learned in previous modules while introducing novel principles like probability theory, a crucial component of Artificial Intelligence and Cognitive Science. In order to effectively apply Artificial Intelligence systems to the real world, probabilistic reasoning must be incorporated into the models to indicate the degree of uncertainty in knowledge. It was one of the first machine learning methods ever implemented and is still widely used today.

On successful completion of this module, you will have gained a rich understanding of probabilistic reasoning and have hands-on experience designing Artificial Intelligence systems. You’ll also have the opportunity to manage your own research project, enhancing your critical assessment skills and aptitude for research-based work.

Optional modules

• Independent Study Level 5 (5 credits)

Optional Work Placement Year

Although it is optional, we encourage you to take a supervised work placement in the computer industry for 12 months between Year 2 and your final year. You will be taught about how to apply for jobs effectively in a second year module and we have a placements office with dedicated staff to provide information and advice to help you secure a placement. We maintain our links with industry and most students who go on placement find out about the position they secured through this department. More and more students are finding that a placement benefits their final-year studies and career prospects. Possible placement organisations include IBM, Microsoft and PepsiCo. It is possible to change your programme of study to include or exclude the work placement option up to the end of your second year. Your tuition fees are reduced to £1350 for the year you are on placement and the positions are normally paid which should cover your living expenses.

Year 3 (placement year)

Optional modules

Optional Placement

Year 4 (or year 3 if no placement)

Compulsory modules

• Machine Learning (Hons) (15 credits)

• Advanced Artificial Intelligence Project, COMP7017 (30 credits)

This module is an opportunity to consolidate and enrich knowledge gained during previous modules. You’ll be tasked with undertaking an individual research project in a chosen subject area that’s closely related to your field of study. It’s encouraged that you cooperate with a commercial, research or industrial organisation to help provide an appropriately focused perspective on the project. Via the delivery of a multi-medium research project, you will delve deep into the world of Artificial Intelligence.

On successful completion of this module, you will have a deep understanding of the chosen subject matter, as well as the research methodology appropriate to the discipline. Through a written thesis and presentations at various junctures in the module, you will develop a variety of soft skills such as research literacy, clear communication and project management.

• Game Development (Hons) (15 credits)

• Cognitive Robotics (Hons) (15 credits)

This module offers a comprehensive exploration of the architecture and development of advanced robotic systems that exhibit higher-level intelligent behaviour, enabling them to navigate complex environments and interact effectively with humans. Additionally, you will design and construct robotic systems capable of intelligent interactions. Explore current research problems in robotics and propose innovative solutions for investigation. Furthermore, you’ll develop essential transferable skills in documentation, reporting, and project analysis to effectively communicate your research findings. Lastly, you’ll collaborate within small groups, honing your communication and teamwork abilities while undertaking research tasks.

By the module's end, you will possess the knowledge and skills to design, construct, and evaluate intelligent robotic systems. Engage with the forefront of Cognitive Robotics, driving innovation and shaping the future of robotics and human-robot interactions.

• Applications and Ethics of Artificial Intelligence (Hons) (15 credits)
This module aims to provide you with an in-depth understanding of the scientific and business applications of Artificial Intelligence (AI), including Natural Language Processing, face recognition, and autonomous moral machines. Through this module, you will explore both the risks and opportunities of applying AI in these domains, and develop a critical understanding of the ethical implications of AI technology.

By the end of the module, you will be able to create and evaluate AI software solutions, using transferable skills to document, report, and analyse your work. You will also gain experience working collaboratively in small groups to analyse AI software applications, and develop a strong awareness of the ethical issues related to the application of AI technologies. These skills and knowledge will prepare you for a wide range of career opportunities in the rapidly growing field of AI.

• Advanced Machine Learning & Deep Learning (Hons) (15 credits)

This module aims to acquaint you with advanced concepts of machine learning and deep learning. It builds on the foundation laid by the Advanced AI and Machine Learning modules and covers topics such as statistical learning theory, deep learning, multi-task learning, reinforcement learning, explainable AI, and neuroscience-inspired AI. Through this module, you will gain a comprehensive understanding of the latest developments in machine learning and learn how to apply these techniques to solve complex real-world problems.

Upon completion of this module, you will be capable of managing complex machine learning projects, developing solutions to challenging machine learning problems, and critically evaluating the suitability and constraints of various machine learning algorithms in specific situations.

• Machine Vision (Hons) (15 credits)

Optional modules

• Independent Study Level (15 credits)

Entry Criteria

ENTRY REQUIRED DOCUMENTS
Home Office Share Code
For EU students only.

IF no Qualification
Please provide CV with at least 2 years of work experience, and employee reference letter.

Entry requirements

Wherever possible we make our conditional offers using the UCAS Tariff. The combination of A-level grades listed here would be just one way of achieving the UCAS Tariff points for this course.

Standard offer

UCAS Tariff Points: 112
A Level: BBC
IB Points: 30
BTEC: DMM

Contextual offer

UCAS Tariff Points: 88
A Level: CCD
IB Points: 27
BTEC: MMM

Further offer details

We welcome applications from candidates with alternative qualifications, and from mature students.

Entry requirements

Specific entry requirements

GCSE: Mathematics at grade 4/C minimum and English Language at grade 4/C minimum normally required

If you don't know about Computing already our first year modules will quickly get you up to speed. Any previous experience you have might help you to get started more comfortably but even if you think you know a lot about computing already there will still be many new things for you to learn.

Having an A-level or BTEC Level 3 qualification in a computing-related subject will not exempt you taking any first-year modules, as we want to make sure that we give you a quality introduction to all of the relevant topics.

If you don't have the right qualifications to apply for a place on one of our degree courses, we may be able to consider you for our Computing Foundation course. This course, which lasts one year, is an excellent preparation for any of our computing degree courses.

Our standard entry requirement is three A-levels or equivalent qualifications. In some cases, courses have specific required subjects and additional GCSE requirements. In addition to A-levels, we accept a wide range of other qualifications including:

 the Welsh Baccalaureate
 the Access to Higher Education Diploma
 a BTEC National Certificate, Diploma or Extended Diploma at a good standard and in a relevant subject
 the International Baccalaureate Diploma
 the European Baccalaureate Diploma
 Scottish qualifications – five subjects in SCE with two at Higher level or one at Advanced Higher level, or three subjects in Scottish Highers or two at Advanced Higher level
 a recognised foundation course
 T-levels*.
 * T-levels are a relatively new qualification but are already included in the UCAS tariff. We welcome prospective students who are taking this qualification to apply. For some programmes with specific required subjects, particular subject areas or occupational specialisms may be required.

English language requirements

If English is not your first language then you will need to show that your English language skills are at a high enough level to succeed in your studies.

The entry requirement for your course will be expressed as an IELTS level and refers to the IELTS Academic version of this test. We are now also accepting the IELTS Indicator test, you can find out more about the test on the IELTS Indication site. The University however does accept a wide range of additional English language qualifications, which can be found below.

The university’s English language requirements in IELTS levels are as follows:

Course IELTS level
All other undergraduate courses 6.0 overall with 6.0 in reading and writing, 5.5 in listening and speaking
Law, Architecture, Interior Architecture, English Literature (including combined honours), English Literature and Creative Writing 6.5 overall with 6.0 in reading and writing, 5.5 in listening and speaking
Health and Social Care courses 6.5 or 7.0 overall with 6.5 or 7.0 in all components (see individual entries for course details)
Nutrition BSc (Hons) 6.5 overall with a minimum of 6.0 in each component
Built Environment Foundation,
Computing Foundation,
Engineering Foundation 6.0 with 6.0 in reading and writing, 5.5 in listening and speaking
International Foundation Business and Technology,
International Foundation Arts, Humanities and Law 5.5 overall with 5.5 in all skills
International Foundation Diploma 5.0 overall with 5.0 in all skills
If you need a student visa you must take an IELTS for UKVI test.
International Foundation Diploma (Extended pathway) 4.5 overall with 4.5 in all skills
If you need a student visa you must take an IELTS for UKVI test.


Assessment

ASSESSMENT METHODS

1. INTERNAL ENGLISH TEST if you don't have an English accredited certificate
2. Academic Interview
All modules have an element of continuous assessment.

Not all modules have written examinations but where they are used they are worth 30%, 50% or 70% of your grade.

Career Opportunities

When you graduate from our Artificial Intelligence course, exciting career opportunities await. Our graduates are highly valued by employers.

You will enter the workplace with a deeper understanding of AI. You will also be armed with strong technical and practical skills.

Previous Artificial Intelligence students have gone on to work for companies such as Google, IBM, Sophos and Elsevier.

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CONTACT

+44 777 477 5759
+44 33 3303 4135

info@study4abetterfuture.uk
admissions@study4abetterfuture.uk

Hours

Monday - Friday:

09:00 am - 06:00 pm

Saturday - Sunday: Closed

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