Dr Vassilis Cutsuridis - Programme Leader
Dr Vassilis Cutsuridis is an expert at the interface between AI and Neuroscience. He is broadly interested in reverse engineering how the brain and mind work in order to understand the neural circuits and systems that give rise to mental experience and to extract the neural algorithms for the design and development of more efficient intelligent methods and systems for complex data analysis. After a 10 years in the software industry, he returned to academia in 2006 to hold research and teaching positions in Europe, UK, US, and China.Academic Staff List Make an Enquiry
Welcome to MSc Intelligent Vision
How You Study
"A brilliant and well-structured programme that encompasses all necessary modules for someone looking to enter the industry as an engineer or researcher. With state-of-the-art facilities and devoted lecturers, you will be encouraged to pursue excellence."Diogo Ribeiro, MSc Intelligent Vision graduate and currently a Data Scientist at YouLend
An Introduction to Your Modules
† Some courses may offer optional modules. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by staff availability.
How you are assessed
An informal interview by Skype with the Programme Leader may also be required to make sure candidates have the right background for the course. This informal contact may also include requests for samples of self-directed project work involving a significant element of software and/or systems development.
Students in Intelligent Vision are taught by academics with specialist experience in areas including brain-inspired AI, medical imaging, computer vision, machine learning, neurobotics, data analytics, and parallel computing.
The School of Computer Science's highly active research centres are focused on world-leading developments in computer vision, robotics and autonomous systems, and agri-food technologies, with strong links to many industrial collaborators and other universities around the world. We aim to incorporate as much of our research as possible into our taught curriculum and we provide students with opportunities to get involved in our exciting cutting-edge research activity.
Student Project Work
Below you can find examples of previous student project work including their project posters. These projects may give you a feel for the areas of study you might wish to pursue during your final project on the programme.
Shashank Boite — 3D Reconstruction Of Strawberries In Complex Outdoor Environments To Assist Evaluation And Picking Tasks: Project Poster (PDF)
Oskar Hatfield — Estimating the Proliferation Indices from Microscopic Images: Project Poster (PDF)
Nathan Little — An Attempt to Identify Humpback Whales from Flukes Using Similarity Comparison Neural Networks: Project Poster (PDF)
Joshua McKone — A Machine Learning Based Classification System for Brain Signals: Project Poster (PDF)
Miguel Moreno-Rodriguez — Segmentation Of Esophageal Abnormalities In Endoscopic Images With Mask R-CN: Project Poster (PDF)
"One of the main reasons I did the Master's was because I wanted to prove to myself I can do a research project well. This helped me consider a funded PhD as an option after my degree, something I probably would not have considered otherwise. The MSc gave a large overview of machine learning and data analysis techniques, which has aided me in my doctoral studies."Jack Stevenson, MSc Intelligent Vision graduate and currently a PhD student at the University of Lincoln
Specialist facilities for Intelligent Vision include research facilities and laboratories, a computer engineering workshop, workstations with flexible development software platforms, and a range of equipment for loan including, Raspberry Pi, Oculus Rift and HTC Vive virtual reality kit, smartphones, and robots.
Entry Requirements 2023-24
This programme aims to provide students with skills spanning two key disciplines of modern computing and its applications, namely imaging and data science, and their combined use. Such skills are in high demand not only in academia and industries dealing with imaging technologies and related challenges, but also in many other areas where analytical and multidisciplinary mindsets and skills are critical. Some students may choose to continue towards doctoral level, including within the School of Computer Science.
"Throughout the Intelligent Vision course, I gained better insights into the data analysis segment and improved my analytical thinking. I am happy I went through this programme as it helped me expand my skill set and secure a job as a Data Quality Analyst for an analytics software company."Kosta Yankov, MSc Intelligent Vision graduate and currently a Data Analyst at Emsi Burning Glass
Find out more about how postgraduate study can help further your career, develop your knowledge, or even prepare you to start your own business at one of our postgraduate events.Find out More