BSc (Hons) Artificial Intelligence with foundation year

Where changes are made to material information contained in this course description or a decision is taken to suspend a course between the offer of admissions and enrolment, we will inform applicants at the earliest possible opportunity and will outline the various options available to the applicant.

Our BSc (Hons) in Artificial Intelligence with foundation year is ideal if you wish to pursue a career at the cutting edge of AI, helping to turn technological innovations into meaningful solutions that transform the way we live. It offers you the opportunity to develop a deep understanding of the scientific and practical applications of programming and computation in the fast-moving field of AI and machine learning.

As a graduate of this degree, you'll possess a solid understanding of the core technologies underpinning AI and be able to demonstrate your skills in applying AI concepts and methodologies to solve problems. You'll have strong programming skills in several programming languages and valuable knowledge in essential areas such as machine learning, deep learning and natural language processing.

You'll also be able to demonstrate vital transferable skills, including teamwork, leadership, communication, time management, commercial awareness, problem-solving and negotiation.

What can I do with this qualification?

Alternative career options

Graduates can also use the qualification as a stepping-stone into a range of other careers. Some of these roles may require relevant experience and/or postgraduate study. Possible fields include:

• Teaching
• Research and development
• Social media management
• Technical writing
• Product management
• ICT Training
• ICT sales
• Digital copywriting
• Telecommunications
• Network engineering
• Cyber analyst
• Machine security professional

Home/EU Fees

International Fees

Bursaries

Click here for more information about the scholarships and bursaries available to University of Bolton students.

Important note regarding tuition fees: EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for 'Home' fee status. If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for 'Home' fee status under the Common Travel Area arrangement. Please read the student finance for EU students web page on www.gov.uk for information.

Home Undergraduate Tuition Fee Adjustment

The tuition fee applicable to the first year of your programme of study is confirmed in your offer letter. The tuition fee set is based on the regulations and guidance in force at the time of offer but remains subject to adjustment in accordance with any government-approved inflationary increase. The University reserves the right to amend tuition fees for all years of study, including the first year, by no more than the maximum increase permitted under legislation and regulatory guidance issued by the UK Government and the Office for Students.

Where such increases are approved, they will not exceed the rate of inflation, as measured by an appropriate index such as the Consumer Prices Index (CPI), or any successor measure specified by government. The University will apply any adjustment consistently across affected student cohorts and will give reasonable notice to students of any confirmed change to the published fee before the start of the relevant academic year.

This approach ensures that tuition fees remain compliant with applicable legislation, proportionate to inflationary changes, and consistent with government policy linking permitted fee uplifts to the maintenance of high-quality education and outcomes. For more information, please refer to the government guidance at: gov.uk – Universities to deliver better outcomes in return for full fees.

Postgraduate and International Tuition Fee Adjustment

The tuition fee applicable to the first year of your programme of study is confirmed in your offer letter. The University reserves the right to amend tuition fees for subsequent years of study in accordance with its Course Fees Policy. Where such increases are approved, they will not exceed the rate of inflation, as measured by an appropriate index such as the Consumer Prices Index (CPI), or any successor measure specified by government. The University will apply any adjustment consistently across affected student cohorts and will give reasonable notice to students of any confirmed change to the published fee before the start of the relevant academic year.

We understand that our students' learning needs and preferred learning styles vary, so we use a range of learning and teaching methods, including online (where appropriate). Our team of highly knowledgeable and enthusiastic lecturers offer face-to-face sessions and one-to-one support. We'll also assign you a dedicated personal tutor to help guide you through your studies.

Lectures introduce the core course content, while practical laboratory sessions offer practical experience and help consolidate your learning. Tutorials allow you to ask questions to ensure you understand the topics covered in lectures and laboratory sessions. We use case studies and practical scenarios to help you learn to apply academic theory to real-life problems, allowing you to gain insights into AI in commercial environments.

Guest lectures/presentations by a variety of visiting speakers from relevant employment areas offer you the chance to develop your knowledge and understanding further.

Regarding assessment, you can expect time-constrained exams and coursework, such as essays, reports, presentations, portfolios, and others. These contribute to your final marks and allow you to demonstrate that you've met the learning outcomes for the course.

We also use other forms of assessment to help you learn, provide you with feedback and inform your development, though these do not count towards your final marks. For instance, you might be asked to complete quizzes or undertake practical exercises. You'll also receive feedback on assessment drafts. These will help identify any areas that would benefit from extra attention on your part or where you need additional support from your tutor.

We take our social, public and ethical responsibilities very seriously. All our student project work conforms with the University's policies on ethics and uses the University's research ethics procedure before work commences.

Modules

The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.

• Professional and Academic Skills
• Project Design, Academic Integrity and Ethics
• Collaborative Project
• Logical Analysis and Problem Solving
• Computer Systems
• Fundamentals of Programming
• Foundations of Computer Science and Academic Skills
• Programming
• Maths for Computing
• Databases
• Computing Infrastructures
• Object Oriented Programming
• Data Structures and Algorithms
• Big Data Analytics
• Web Design and Programming
• Introduction to Artificial Intelligence
• Image Processing and Computer Vision
• Data Science: Methods and Applications
• Research and Professional Issues
• Project
• Applied Machine Learning
• Emerging Technologies
• Neural Networks and Deep Learning
• Natural Language Processing and Generative AI

Assessment methods

Learning Activities

The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. The university considers changes to courses very carefully and the university will minimise any changes. Please be aware that our courses are subject to review on an ongoing basis and changes may be necessary due to legitimate staffing, financial, regulatory and academic reasons. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up-to-date and responsive to employment and sector needs. The published course material and the programme specification contain indicative ‘optional modules’ that may be subject to change due to circumstances outside of our control. For this reason, we cannot guarantee to run any specific optional module.