MSc Artificial Intelligence: Extended

• Normally, you should have at least an upper second class (2.1) honours degree in a computing-related subject.
• For applicants without a first or upper second, a lower second class (2.2) honours degree will be considered on a case-by-case basis (particularly for candidates with good relevant industrial experience).
• We'll consider applications where appropriate work experience can be demonstrated in lieu of, or in addition to, the published academic qualifications in line with the University’s Recognition of Prior Experiential Learning (RPEL) procedures.
• You may be required to attend an interview and/or provide a portfolio of work.
• If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications – please visit our English Language Requirements web page for more details.

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 MSc in Artificial Intelligence: Extended is ideal for computer science graduates and experienced computing professionals. As a graduate of this postgraduate 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 analytical skills, communication, creativity and innovation, independence, logic, numeracy, project management and organisation.

What can I do with this qualification?

AI offers a wealth of potential career destinations. As a graduate of Bolton University's MSc in Artificial Intelligence: Extended, 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 PhD research studies in AI and computing-related subjects.

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:

• Finance
• Commerce
• Quality management
• Research and development
• Teaching and education
• Public services and local government
• Information management
• Digital communications

Home students starting this course in the first year will be required to pay a Home fee of £5,664 for the academic year 2024/25.

Overseas students starting this course in the first year will be required to pay a Overseas fee of £15,950 for the academic year 2024/25.

Important note regarding tuition fees for the 2023-2024 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.

Bursaries

Click here for more information on our Master's Bursaries.

We use a blended approach, meaning you'll have face-to-face sessions, sometimes one-to-one, and take part in online learning. You can expect a mix of seminars, lectures, tutorials and critiques, laboratory/workshop sessions, self-directed learning, e-learning, and online sessions and support.

Technical introductions and support, along with workshop sessions, demonstrations and activity-based assignments will support you in acquiring and enhancing your practical skills. We emphasise active learning and apply a strong practical theme throughout your studies.

We'll provide regular written feedback on your work, with assessments normally completed by the end of each module. Assessment is varied and can include methods such as assignments, projects, exams and presentations. Most of your overall grade will be based on coursework.

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 Practice
• Research Methods
• Applied Artificial Intelligence
• Computer Vision and Deep Learning
• Advanced Software Development
• Data Analysis and Visualisation
• Data Mining and Machine Learning
• Project

Assessment methods

Learning activities

Disclaimer

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.