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Artificial Intelligence and Machine Learning

MSc

Duration
Start date
Location

Suitable for applications.

Overview

Artificial Intelligence (AI) and Machine Learning (ML) is an exciting, cutting-edge topic with technologies and applications that span almost every aspect of our lives. AI and ML are everywhere, from smartphone apps that recognise your speech, to self-driving cars that revolutionise the safety and efficiency of our transport networks.

AI and ML are built on a foundation of computer science. It combines problem-solving skills, practical skills like programming, and specialist knowledge on tools and techniques for creating smart algorithms and software.

On this course, you will benefit from our 50 years-plus of experience in computer science. You'll learn how to integrate a diverse set of skills from a variety of topics into real-world applications, through our industry-focused curriculum.

You will study topics such as programming, machine learning, classification, clustering, AI in Healthcare and more, with modules that challenge you to combine and apply these topics on practical projects with career-launching outcomes.

The programme includes project and dissertation modules with opportunities to leverage industry-standard software tools to develop cutting-edge solutions to real-world problems, with the support and guidance of academic experts from the artificial intelligence domain.

All of our computer science students are automatically enrolled as student members of the British Computer Society (BCS).

Entry requirements

2:2 or above in computer science, computer engineering, informatics or other computer-related subjects (including engineering and management disciplines such as finance, economics, business studies etc) from an approved degree-awarding body.

Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area are considered on an individual basis.

English language requirements

Minimum IELTS 6.0 or equivalent.

Teaching, learning and assessment

This course will use a mixture of examinations and coursework assignments to assess students.

In some modules students have the freedom to choose topics or datasets to work with, allowing them to explore areas relevant to their personal or professional interests.

Fees, finance and scholarships

Tuition fee 2025

  • Home: £9,698
  • International: £25,389

Additional costs

There may be additional costs that you may incur as a student. Though these are not essential to your programme of study you need to be aware of them as a student of the University. A list of the sort of costs you might expect can be found on our fees and finance section.

Financial support

See our fees and financial support section.

Postgraduate Master's Loan

If you live in England you may be able to apply for a special Government-funded Master's Loan to help pay your tuition fees and living costs.
You don't have to pay the loan back until you're earning a certain amount of money.

Scholarships

Every year we award numerous non-repayable scholarships to UK, EU and international students on the basis of academic excellence, personal circumstances or economic hardship. For full details, visit our scholarships section.

Career prospects

This course aims to equip graduates with the skills and knowledge necessary to succeed in a range of careers such as Data Science, Data Analytics, Machine Learning Engineering, AI Engineering, and many more in a wide range of industries.

The increasing capture of data by companies and organisations is driving demand for graduates able to analyse, transform and explore data to meet the needs of businesses.

Career support

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

Study support

We have a commitment to strong pastoral care for all of our students, which includes a Personal Tutor for all students, regular contact hours for tutor groups and our supportive student service teams who are always ready to help with any questions and provide the advice that you need.

In addition to standard study support through taught sessions, our Virtual Learning Environment allows students to access resources, participate in group work and submit work from anywhere in the world 24/7.

University central services are rich with support teams to assist students with every aspect of their journey through our degree programmes. From our Career and Employability Service, through our strong Students' Union, to our professional and efficient Student Finance team, there are always friendly faces ready to support you and provide you with the answers that you need.

Research

Our staff are research active and experts in their field; their knowledge and expertise directly inform our curriculum and the content delivered to students.

Our Artificial Intelligence Research Group helps embed research-active topics into our modules as well as the dissertation projects undertaken by students on the course, using links to local and national industry partners informing their design and delivery.

Terms and conditions of study

The University has a set of terms and conditions for all students accepting an offer to study on a course here at Bradford. This is called The Student Contract. This document sets out the Terms and Conditions which apply when you accept an offer of a place on a programme of study at the University of Bradford.

View our Student Contract for further details.

Transparency statement

Information about this programme and its modules has been published in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publication, but changes may occur given the interval between publishing and commencement of teaching. Any change which impacts the terms and conditions of an applicant’s offer will be communicated to them.