Artificial Intelligence and Machine Learning MSc

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.

Curriculum

First Year

Core

• Software Development
• Cloud AI
• MSc Group Project
• Advanced Machine Learning
• Advanced Topics in AI and Digital Healthcare
• Dissertation

Optional

• Responsible AI: Ethics, Law and Governance
• Big Data Visualisation

Teaching, Learning and Assessment

Learning and teaching activities include lectures that introduce and explore theory, concepts, and case studies that illustrate how practical outcomes are derived from theoretical principles. In laboratory sessions, you will use industry-standard tools hands-on to develop practical skills relevant to your subject. These sessions also facilitate individual and small group feedback. Seminars and tutorials help to build communication, teamwork and strengthen the connections between theory and practice.

Most modules in this course will assess your attainment through practical coursework exercises, reflecting the emphasis on demonstrable applied skills that support future career paths and progression. Assessments using real world problems and limited scope case studies will increase your engagement, creating stronger links between the academic subject, the assessment of learning outcomes, and transferrable skills. Written or computer-based examinations are also used to measure specific theoretical and knowledge aims, which are also assessed in written reports for many coursework assignments.

Fees and Finance

Tuition Fee

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

Additional Course Costs

While there are no compulsory additional costs associated with this course, there may be general additional costs that you may incur as a student. A list of the sort of costs you might expect can be found on our fees and finance section.

Funding Your Studies

It can be hard to know what financial help is available to you as a student. Further information about the variety of options that can help fund your studies and maximise the money available to you is available on our funding your studies 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 Opportunities

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.

Support for Your Studies

At Bradford, we’re committed to supporting your success, well-being and future ambitions. We’re here to provide everything you need to make the most of your time with us, ensuring you not only excel in your studies, but also step confidently into the world of graduate employment.

In addition to the support you receive from your academic tutors, our Student Support Services are here for you throughout your journey - before, during, and after your studies.

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.

University of Bradford

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Overview:

The University of Bradford is a public research university located in Bradford, West Yorkshire, England. It is known for its strong focus on research and its commitment to social mobility. The university offers a wide range of undergraduate and postgraduate programs across various disciplines.

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Services Offered:

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Student Life and Campus Experience:

The university provides a vibrant student life experience with a range of clubs, societies, and events. Students can expect a welcoming and supportive campus environment.

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Key Reasons to Study There:

Strong research focus:

The university is recognized for its high-quality research, with 77% of its research impact rated internationally excellent or world-leading.

Social mobility:

The University of Bradford is ranked first in England for its impact on social mobility.

Value for money:

The university's Distance Learning MBA is ranked the best value for money by the Financial Times.

Excellent academic programs:

The university excels in various fields, including Physiotherapy, Forensic Science, and Children's Nursing.

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Academic Programs:

The university offers a wide range of academic programs, including:

Business:

The University of Bradford's Business School is recognized for its support of firms and students.

Nursing:

The university provides financial help for nursing students.

Computer Science:

The university has invested £600k in new computer science labs.

Other:

The university also offers programs in various other fields, including engineering, law, and the arts.

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Other:

The university is a member of Yorkshire Universities and is a Stonewall Diversity Champion. It has also received the Athena Swan Bronze Award and the Queen's Anniversary Prizes.