MSc Artificial Intelligence


University of Sheffield    Department of Computer Science

Full time September MSc 1 year full-time Award winner
Computer Science (8) Mathematics (25)

FindAMasters summary

Embark on a transformative journey with the MSc Artificial Intelligence programme at the University of Sheffield. This advanced course delves deep into the theoretical and practical realms of AI, equipping you with the essential skills to navigate and manipulate vast data sets crucial for developing cutting-edge AI systems. Designed for numerate individuals with backgrounds in mathematics, economics, or engineering, this programme offers a comprehensive curriculum spanning computer science, AI, mathematics, and statistics. Accredited by the British Computer Society, the course opens doors to becoming a Chartered Information Technology Professional or Chartered Engineer. With a focus on practical analysis of diverse data sets, including structured and unstructured data, you will engage in lectures, tutorials, and group work, culminating in assessments through examinations, assignments, and a dissertation project. Gain a competitive edge in the job market with our industry-focused approach and innovative project-based learning, ensuring you graduate as a highly sought-after AI professional. Join us to unlock your potential in the dynamic field of Artificial Intelligence.

About the course

This course not only teaches you the theoretical aspects of Artificial Intelligence (AI), but also provides you with the practical skills needed to work with big data sets, a fundamental component in building robust and efficient AI systems.

Course description

This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry. 

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Entry Requirements

Minimum 2:1 undergraduate honours degree in a numerate discipline, such as computer science, mathematics, economics, engineering, physics or chemistry. Some previous programming experience is essential.


 Course Content

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Student Profiles

Ashleigh Randall - MSc Data Analytics (MSc Artificial Intelligence)

Within 3 months of starting the course I secured a graduate placement as a Technology Analyst at Barclays for after my masters, which I would not have got if I had not studied this course!

Aneeq ur Rehman

The University of Sheffield has some of the best teachers and research in the computer science department! You definitely get to learn a lot. It is a chance to learn from the best!

A lot of factors [made me choose to study at Sheffield] to be honest. The future lies with AI, machine learning and Natural Language Processing, and I am strongly drawn to AI from the very start. I believe there is tremendous untapped potential in these areas and it offers so much learning, I also like to engage in challenging tasks and kind of get bored with the mundane, so this area is all about diversity, learning, engaging, expanding and leveraging my skillset in the best possible way! Also did I mention how much you’re in demand and the diversity of jobs in which data analysts can engage in!

Vamsi Sai Turlapati

I found that the programme goes through the field of machine learning and other related fields from the first principles, which is an amazing way to learn about data science than to learn to just use the frameworks available.

The regular course work that pushes me to the fullest makes me enjoy the programme a lot. Assignments and the lab work are well thought out for any student to understand the essence of the concepts and further enhances my ability to understand them, and the academic and research staff are knowledgeable and well equipped with the advancements in the field.

As a software engineer by profession and having worked in the data engineering side of things, I believe the insight in data science will help on my path towards building software that is more involved in the realm of artificial intelligence.