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1 Year On Campus Masters Program
Sheffield Hallam UniversityThe MSc Data Science and Artificial Intelligence at Sheffield Hallam University equips students with advanced analytical, computational, and AI skills to solve real-world problems. It suits graduates and professionals aiming to pursue data-driven roles in business, research, or technology sectors.
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.
Focus areas: “Machine learning, data analytics, AI systems, programming, research and visualization”
Learning outcomes: “Develop expertise in data analysis, machine learning, and AI model deployment; apply computational methods to solve complex data problems; conduct applied research”
Professional alignment (accreditation): “Aligned with BCS and industry standards; includes work experience for practical exposure”
Reputation (employability rankings): “95% of Sheffield Hallam postgraduates are in work or further study within 15 months (Graduate Outcomes Survey)”
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 Data Science and Artificial Intelligence at Sheffield Hallam University develop critical skills in data analytics, machine learning, and neural network applications, preparing for roles such as Data Scientist, Machine Learning Engineer, AI Developer, and Business Intelligence Analyst. The course combines real-world projects and industry collaborations to ensure employability in diverse sectors including healthcare, finance, and technology.
Sheffield Hallam’s Careers & Employability Service offers career clinics, networking opportunities, CV and interview workshops, plus an option for up to 12 months of paid industry placement to enhance practical experience.
Employment rates are high with postgraduates typically securing jobs or further study within 15 months; salaries range from £28,000 to £45,000 depending on experience and role.
Strong partnerships with Sheffield Hallam Research Centres, AstraZeneca, British Machine Vision Association, and Sheffield Robotics provide students access to live projects and cutting-edge AI technologies.
The MSc is designed with input from industry experts and ethical AI considerations, ensuring long-term accreditation value and career relevance.
Graduates demonstrate proficiency in responsible AI use, data-driven decision making, and innovation leadership, poised for future-oriented careers.
Further Academic Progression:
Graduates may pursue doctoral research (PhD), advanced professional certifications, or research and innovation roles to advance specialization and leadership opportunities
Undergraduate degree at 2:2 or above with evidence of some programming experience (work experience or degree).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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