MSc Applied Computer Science and Artificial Intelligence

1 Years On Campus Masters Program

The University of Bradford

Program Overview

The MSc Applied Computer Science and Artificial Intelligence at the University of Bradford is designed for graduates eager to launch or enhance careers in artificial intelligence, data science, and software development—no prior computing or mathematics experience required. Students gain a unique blend of practical skills and theoretical knowledge, working with leading-edge technologies such as cloud computing, machine learning, big data, and networks while preparing for real-world applications and innovation.

Curriculum structure

In this one-year programme, students start by building core competencies in software development, programming, and applied machine learning, gaining strong foundations in Python, data analysis, and intelligent algorithms. As they progress, they undertake modules in Mobile Application Development, Big Data Strategy, Networks, and Intelligent Systems, deepening their expertise through practical workshops and collaborative group projects. The course culminates in an MSc Group Project and individual dissertation, challenging students to deliver innovative solutions to real-world computing problems using industry-standard tools like Amazon AWS and open-source software, all guided by Bradford’s 50 years of academic excellence.

Focus areas

"Programming, Applied Machine Learning, Big Data Strategy, Cloud AI, Mobile Application Development, Networks, Intelligent Systems, Network Security, Data Science"

Learning outcomes

"Graduates will become proficient in software development, machine learning, designing intelligent systems, big data analytics, using cloud platforms, and critical problem-solving; ready for innovation in global tech industries."

Professional alignment (accreditation)

All students are automatically enrolled as student members of the British Computer Society (BCS), supporting Chartered IT Professional status and industrial recognition.

Reputation (employability rankings)

Bradford’s computing graduates enjoy strong international employability, industry partnerships, and benefit from a refurbished high-performance computing lab, with competitive starting salaries and career support throughout the program.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Applied Computer Science and Artificial Intelligence at the University of Bradford provides a truly hands-on learning environment where students develop industry-ready skills using advanced computing labs and the latest digital tools. With a curriculum built around practical workshops, real-world projects, and collaboration with the largest AI student population in the UK, students learn how to integrate intelligent software and data-driven techniques into impactful solutions.

Here’s how experiential learning comes to life in this program:

  • Direct access to a refurbished, on-campus high-performance computing lab designed for hands-on development and research.

  • Group projects simulating professional software and AI development, including practical work in mobile apps, cloud-based AI, and autonomous systems.

  • Training and project work on industry-standard software platforms, such as Amazon AWS, and open-source machine learning tools (e.g., Python frameworks).

  • Active collaboration with the Applied AI Society, student-organized hackathons, and guest speaker events create a vibrant peer network and exposure to real-world industry challenges.

  • Opportunities for three-month placements with Bradford’s industry partners, providing practical work experience after dissertation submission.

  • Support from an industrial advisory board, local innovation hubs, and regular input from PhD students and faculty experts in computer science and AI.

  • Extensive digital library, social learning spaces, and face-to-face workshops ensure students receive tailored support and access to resources for independent study and collaborative research.

This environment is designed so Bradford MSc graduates enter the workforce with real project experience, advanced digital skills, and the adaptability sought by global employers.

Progression & Future Opportunities

Graduates of the MSc Applied Computer Science and Artificial Intelligence at the University of Bradford are prepared for high-impact careers as software engineers, data scientists, AI specialists, and systems analysts. The program helps launch graduates into global tech fields, supporting transitions from non-technical backgrounds and enabling advanced progression in artificial intelligence, cloud engineering, and data-driven industries.

Specifically:

  • The Career and Employability Services team offers tailored career support, internship placements, employer networking, and advice for international progression, including CV reviews and interview coaching.

  • Industry-aligned curriculum with three-month placements available after dissertation, plus group projects led by Bradford’s Applied AI Society, connects students with top regional tech employers and innovators.

  • All MSc students automatically receive student BCS (British Computer Society) membership, supporting Chartered IT Professional recognition and boosting career value.

  • Bradford computing graduates report strong employability rankings, leveraging partnerships across healthcare, data science, cloud computing, and AI solutions, and benefit from the university’s 50 years of experience in computer science.

  • Graduates secure positions in AI research labs, fintech, the NHS, software consultancies, and global IT firms, and are well-equipped for innovation and entrepreneurial ventures in technology.

Further Academic Progression:
Graduates may choose to pursue a PhD or specialist research degree in AI, machine learning, or data science at Bradford or other top universities, leveraging their advanced skills and industry experience for cutting-edge projects in academia or applied research.

Program Key Stats

£19,500 (Annual cost)


52 %
No
Yes

Eligibility Criteria

2.7
3 or 4 Years

N/A
N/A
N/A
6.0
80
2:2

Additional Information & Requirements

Career Options

  • Data Analyst
  • Cyber Security
  • Big Data
  • AI

Book Free Session with Our Admission Experts

Admission Experts