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Artificial intelligence (AI) is changing how we work and live by solving problems through automation. If you're a graduate with a background in computing, the University of Bolton's MSc in Artificial Intelligence will support you in developing a breadth of knowledge and practical capability in AI methods and techniques. You'll study machine learning, deep learning, computer vision and natural language processing, 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 $15trillion to the global economy by 2030 (1). Major industries such as healthcare, financial services, entertainment, manufacturing and retail all offer significant and growing employment opportunities in AI. A wealth of career opportunities await highly qualified and talented graduates with expertise in AI design, development and deployment.
The University of Bolton's MSc in Artificial Intelligence is an ideal choice for graduates with a computing or software engineering background. Our expert team will support you in developing wide-ranging knowledge of AI methods and techniques, along with strong practical skills in applying these technologies. We'll cover essential areas, including machine learning, deep learning, computer vision, and natural language processing (NLP).
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. Our expert team will support you in developing a detailed understanding of specialised and advanced AI topics, emphasising deep learning. Our dedicated tutors will promote lifelong learning skills, creativity and critical thinking so you're ready to adapt as the AI industry evolves throughout your career.
We'll 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 technical issues, develop proposals, and write reports. This vital experience will help prepare you for a successful postgraduate career.
Interpersonal and transferable skills are also vital, 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 AI.
(1) https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html accessed on 22 October 2022
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 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.
AI offers a wealth of potential career destinations. As a graduate of Bolton University's MSc 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 PhD research studies 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 details of how to apply for this course, please choose your status from the options below:
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.
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 65%, Practical exams 35%|
|Level one||Guided independent study 85%, Scheduled learning and teaching activities 15%|
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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