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Chemistry with Artificial Intelligence (with Industrial Experience)

  • MChem (H)
  • 5 Years
  • Full-time with year in industry
  • 23 September 2026
  • Undergraduate
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More about University of Leeds

Course options

2026-2027
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Course summary

Within STEM subjects, there is an increased student demand for opportunities to learn about and engage with the rapidly evolving field of artificial intelligence (AI) and machine learning (ML) and its application within their subject areas, and this is reflected in the widespread adoption of machine learning and generative AI in the typical employment destinations of STEM graduates. In addition to the high-profile announcements by central government about AI and the award of the Nobel Prize in Physics in 2024 for the development of machine learning, over recent years AI literacy has become an increasingly expected graduate skill.

Ways to study this course

Campuses

  • Main Site

Study options

  • MChem (H) • Full-time with year in industry • 5 Years

Start dates

  • 23 September 2026

Apply by
14 January

This is the equal consideration deadline. You can still apply after this date, but your application may not receive guaranteed consideration.

Application codes

Course code:
F116
Institution code:
L23
Campus name:
Main Site
Campus Code:
-
Points of Entry:
Year 1

University of Leeds has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

See why these ratings were awarded
What does this TEF outcome mean?

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
F116
Institution code:
L23
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Open days

Entry requirements

A level AAA

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

If the most common grade accepted is higher than our entry requirements, this is due to the attainment of our applicants. If you have been made an offer and you meet or exceed the grades of your offer, you will be accepted.

If grades lower than our entry requirements have been accepted, in most cases this is because we operate contextual admissions as part of our decision making, which considers factors beyond grades. For more information about contextual admissions, please visit our website.

Learn more on the University of Leeds website

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course 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

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

For further information please see http://www.leeds.ac.uk/undergraduatefees

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