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Professor George E Holmes DL | President & Vice Chancellor
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Ellisse Vernon | BSc (Hons) Adult Nursing
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From Amazon's Alexa to Tesla's self-driving cars, artificial intelligence (AI) is changing how we work and live. Combining a constellation of technologies and methods, the University of Bolton's BSc (Hons) in Artificial Intelligence offers vital knowledge and skills in key AI areas. You'll study machine learning, deep learning, computer vision, natural language processing, and essential computing disciplines, ready for a career in this rapidly developing field.
Mode of Study:
University of Bolton
To be confirmed
It's estimated that artificial intelligence (AI) could contribute over $15 trillion to the global economy by 2030 (1). Major industries such as healthcare, financial services, entertainment, manufacturing and retail offer significant and growing employment opportunities in AI. A wealth of career opportunities await ambitious and talented graduates with AI design, development and deployment expertise.
The University of Bolton's BSc (Hons) in Artificial Intelligence is an ideal choice if you seek a career in this innovative and fast-moving field and wish to study at a supportive, student-focused, multicultural university. Our expert team will support you in developing wide-ranging knowledge of AI, programming and computing methods and techniques, along with strong practical skills in applying these technologies. We'll cover the essential areas of computer and software systems science that underpin AI and explore specialised AI topics and the latest trends shaping the future of computer science.
While studying at our town centre campus in the North of England, you'll explore the latest methodologies and development techniques based on industry standards. We'll support you in developing your understanding in areas such as machine learning, computer vision, deep learning and natural language processing. Our dedicated tutors will also promote lifelong learning skills, creativity and critical thinking so you're ready to adapt as the computing and AI industry evolves throughout your career.
Our degree is tool-based. For each topic, we focus on developing your conceptual understanding and then support you as you learn to apply this theoretical knowledge in a practical setting. We use realistic scenarios developed with industry partners to test your skills and understanding. During the course, you'll build a coursework portfolio demonstrating your ability to solve real-world AI problems. This vital experience will help prepare you for a successful graduate career.
Interpersonal and transferable skills are also essential, so we'll challenge you to develop sought-after communication, problem-solving, analytical, self-management, and decision-making skills. Our dedicated team will focus on helping you gain the skills employers value and a detailed understanding of the technologies and methods underpinning computing and AI.
(1) https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html accessed on 19 September 2023
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.
Bolton University's BSc (Hons) in Artificial Intelligence 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.
AI offers a wealth of potential career destinations. As a graduate of Bolton University's BSc (Hons) in Artificial Intelligence, you'll be well placed to apply for roles in many different AI fields, such as machine learning, perception, language, knowledge building, decision making and human-AI interaction.
You'll be able to seek employment in areas such as machine learning, data science, computer vision, business intelligence, robotic science and research science. Employers range from established big-tech firms to ambitious young start-ups with opportunities across the UK and the globe. AI is already transforming sectors such as retail, entertainment, finance, and transportation and has enormous potential in healthcare, manufacturing, pharmaceuticals, telecommunications, energy, education, and even agriculture. As a graduate of this course, your skills will be in high demand. Additionally, your lifelong learning skills will support you to customise your skillset, adapt and specialise as your career and the field of AI develops.
This course also paves the way for postgraduate studies and research degrees in AI and computing-related subjects.
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:
Important note regarding tuition fees for the 2022-2023 academic year: 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.
The fees for a student's course of study will be set for the normal duration of that course subject only to inflationary increases – measured by the Consumer Price Index (CPI) recorded in March each year to take effect for subsequent start dates.
For 2022-2023 entry, the maximum government approved undergraduate tuition fee for UK students is £9,250 per year. The University is able to charge this fee subject to an approved Access and Participation Plan for 2022-2023 and its current rating in the Teaching Excellence Framework.
For details of how to apply for this course, please choose your status from the options below:
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.
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.
|Level one||Coursework 100%|
|Level two||Coursework 100%|
|Level three||Coursework 100%|
|Level one||Guided independent study 66%, Scheduled learning and teaching activities 34%|
|Level two||Guided independent study 77%, Scheduled learning and teaching activities 23%|
|Level three||Guided independent study 77%, Scheduled learning and teaching activities 23%|
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.
The academic staff detailed above teach across a range of courses in this subject area and may not teach on this course specifically.
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