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Artificial Intelligence

2 Study options · UndergraduateUniversity of Greater Manchester Main Site, Bolton

Course summary

In December 2024, the University of Bolton was granted permission by the Office for Students (OfS) to change its name to the University of Greater Manchester with immediate effect. While we work to update our systems, you may see both names used in the information we provide.

Artificial intelligence (AI) is changing how we work and live. Combining a constellation of technologies and methods, the University of Greater Manchester'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.

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 Greater Manchester'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 July 2024

How to apply

Application codes

Course code:
W350
Institution code:
B44

This course may be available at alternative locations, please check if other course options are available.

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

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Student Outcomes

Operated by the Office for Students

65 Employment after 15 months (Most common jobs)

75 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

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