AI at Nottingham
Code representing AI

Study AI at Nottingham

 

Interested in studying artificial intelligence? Browse our undergraduate and postgraduate courses featuring elements of artificial intelligence.

 

The University of Nottingham has a long tradition of AI teaching and offers both undergraduate and master’s degree programmes, which draw on a wide range of specialist AI courses across the AI curriculum. We have also funded postgraduate (inter/multidisciplinary) research opportunities on AI and AI-related topics and excel in training the next generation of AI experts and academics through  integrated research and doctoral training programmes. Students with a diverse set of backgrounds can individually focus on specific application areas, collaborate and explore wider solutions to the fundamental AI challenges enjoying our state-of-the-art facilities.

All course information is correct as of January 2021, please check with each school for more information.


Undergraduate degrees

School of Computer Science

Artificial intelligence is changing our homes, workplaces and lifestyles. This course lets you explore this subject with optional modules in user experience design, autonomous systems and machine learning.  

Computer Science with Artificial Intelligence (BSc) 

Computer Science with Artificial Intelligence (MSci) 

 The benefit of the following course is that the students will spend the third year abroad and could be studying in Australia, Canada, Hong Kong, Ireland, Mexico, New Zealand or Singapore.   

Computer Science with Artificial Intelligence including International Year (MSci) 
 

The industry year in the following course lets the students to take what they have learned and apply it to real projects in industry.   

Computer Science with Artificial Intelligence with Year in Industry (BSc) 

 

School of Mathematics

An interdisciplinary course with computer science that covers the fundamentals of statistics and probability, alongside advanced techniques of data analysis and uncertainty modelling, and core areas of applied mathematics. Statistics plays a vital role in global business, data analytics, healthcare modelling and artificial intelligence. 

Statistics (BSc) 

 

Masters degrees

School of Computer Science

Computer Science is playing a key role in many industries all around the world. This course will give students the skills and knowledge to prepare them for a range of high-level careers covering the key topics such as UX design, artificial intelligence and data analysis providing flexibility to broaden their knowledge in specialist areas, including machine learning and autonomous robotics. 

Computer Science (MSc) (one-year) 

Computer Science (MSc) (two-year) 

 

School of Mathematics 

This course provides students with the essential knowledge and skills relevant for a career as a professional statistician or researcher and gives flexibility to tailor the degree according to the interests and career aspirations of applicants through optional modules including, amongst others, Statistical Machine Learning, Computational Statistics, and Applied Multivariate Analysis. 

Statistics (MSc) 

 

School of Physics and Astronomy

A multidisciplinary course which provides advanced training into the fundamentals of modern machine learning and artificial intelligence with particular focus on their application to problems across the sciences. 

Machine Learning in Science (MSc)  

 

School of Psychology

An interdisciplinary course that uniquely combines aspects of psychology, mathematics and computer science. Computational neuroscience aims to better understand brain function, develop better analysis tools for neural data and inspire artificial intelligence algorithms 

Computational Neuroscience, Cognition and AI (MSc) 

 

 


Postgraduate research

School of Computer Science

The Nottingham DTC in AI 

The multidisciplinary Nottingham Doctoral Training Centre (DTC) in Artificial Intelligence offers fully funded four-year PhD studentships that encompass taught module and internship components. A variety of research topics will be available to select from. 

EPSRC Horizon Centre for Doctoral Training – Creating our Lives in Data 

The CDT focuses on digital identity, personal data and data creativity within the global digital economy and is affiliated with the Horizon Digital Economy Research Institute. Each PhD student is paired with an industry partner to carry out collaborative research and completes an industry-based internship.

 

School of Chemistry

EPSRC CDT in Sustainable Chemistry Atoms-2-Products: An Integrated Approach 

The EPSRC Atoms to Products (A2P) CDT in Sustainable Chemistry is a four-year programme that will provide advanced training and education to students, to prepare for rewarding careers in academia, industry and related sectors.  

 

Mechanical Materials and Manufacturing Engineering

OptiMACS: European Industrial Doctorate for Efficient Multidisciplinary Design Optimisation (MDO) of Multifunctional Aerospace Composite Structures

This Marie Skłodowska-Curie Innovative Training Network provides advanced training to the next generation of MDO researchers to develop, deliver and implement novel, accurate and efficient structural MDO tools in collaboration with the industrial beneficiaries. 

No2Noise: European Industrial Doctorate for Advanced, Lightweight and Silent, Multifunctional Composite Structures

No2Noise is a Marie Skłodowska-Curie Innovative Training Network to drive scientific excellence developing an efficient high-fidelity MDO scheme for multifunctional composites having poroelastic inclusions.

The Midlands Centre for Data-Driven Metrology CDT

The MCDDM Centre for Doctoral Training will provide a pipeline of trained engineers with expertise in digital manufacturing and metrology techniques, covering the topics, such as, creating digital twins using AI, in-process manufacturing measurement, 5G manufacturing systems and robotics.

 

 

 

Our Address:
The University of Nottingham
University Park
Nottingham, NG7 2RD

Email us:
AI@Nottingham.ac.uk