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2 Year On Campus Masters Program
Sheffield Hallam UniversityThe MSc Artificial Intelligence at Sheffield Hallam delivers advanced AI theory and practice, including robotics, deep learning, and intelligent systems, giving students hands-on experience with cutting-edge tools and real projects. It suits students with a technical or computing background wanting to build careers in AI, robotics, or machine learning engineering.
Curriculum Structure
Year 1:
Students gain a strong foundation in Machine Learning and Data Mining, Big Data Analytics, and Data Visualisation, developing skills in processing, analysing, and interpreting large data sets. Modules such as Programming for Data Science and Research Skills for Computing enhance technical proficiency and critical thinking for AI model development.
Year 2 (Work Experience Route):
Students undertake a paid or voluntary industry placement, applying their technical knowledge in a professional setting. Alongside, they complete an independent Computing Research Project exploring innovative AI or data science solutions to real-world challenges.
Focus Areas
“Neural networks & deep learning; robotics & intelligent systems; AI development & deployment; research skills & seminar engagement; ethical and professional awareness”
Learning Outcomes
“Ability to design, build and evaluate AI systems; competence with robotics platforms; mastery of deep learning techniques; skill in research methods and seminar-based critique; ability to undertake a major independent AI project”
Professional Alignment (Accreditation)
The course is professionally oriented, includes up-to-date AI project work, uses industry-relevant tools and robotics platforms; and is aligned with the British Computer Society (BCS) accreditation standards for computing/IT professionals
Reputation (Employability Rankings)
While specific QS/Guardian ranking data for this exact MSc was not found, Sheffield Hallam advertises strong future careers outcomes in AI systems development, robotics programming, and machine learning engineering for graduates of this programme.
This programme focuses on applying advanced computing principles through practical project work in the University's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:
Specialist Computing Laboratories: Access to Sheffield Hallam's computing labs with high-specification workstations for software development, systems analysis, and project work.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems and development environments.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.
Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.
Graduates of the MSc Artificial Intelligence at Sheffield Hallam University secure roles such as AI Systems Developer, Data Mining Analyst, Robotics Programmer, and Machine Learning Engineer, applying advanced skills in neural networks, natural language processing, and computer vision. The program’s applied learning, industry partnerships, and practical project modules prepare graduates to innovate in AI across business, healthcare, and tech sectors.
The university’s Careers & Employability Service offers targeted job clinics, networking events, and support for securing up to 12 months of paid work placement in AI companies and research labs.
95% of UK graduates are employed or in further study within 15 months; typical salaries for AI roles start at £28,000–£45,000 based on role and experience.
Sheffield Hallam maintains partnerships with AstraZeneca, the British Machine Vision Association, Sheffield Robotics, and healthcare institutions, providing guest lectures, live projects, and collaboration opportunities.
The MSc curriculum is regularly revised with strong industry input, and the program offers hands-on experience with AI hardware accelerators, robotics platforms, and cloud computing tools.
Graduates demonstrate advanced technical knowledge, creativity, ethical awareness, and collaborative problem-solving for future-proof careers in AI.
Further Academic Progression:
Graduates may progress to PhD research, advanced AI or robotics certifications, or undertake academic and industry research roles for ongoing career development.
Normally you need a 2:2 honours degree or above in a relevant subject area, including (but not limited to) Computer Science, Software Engineering, Games Programming. USA- A first degree (2.7) or professional qualification recognised as being equivalent to degree standardIndia- A three or four year Bachelor's degree with a minimum score of 55% to 60% or higher (from a recognised university).ILETS- Overall: 6.0 Listening: 5.5 Speaking: 5.5 Reading: 5.5 Writing: 5.5TOEFL iBT (including TOEFL iBT Special Home Edition): Overall: 79 Listening: 17 Speaking: 20 Reading: 18 Writing: 17AI EngineerMachine Learning EngineerData ScientistNLP EngineerComputer Vision EngineerAI Research Scientist
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