Full-time
1 year
Typical Offer
Campus
Brayford Pool
Validation Status
Validated
Fees
Course Code
INTVISMS
Full-time
1 year
Typical Offer
Campus
Brayford Pool
Validation Status
Validated
Fees
Course Code
INTVISMS
Dr Vassilis Cutsuridis - Programme Leader
Dr Vassilis Cutsuridis is an expert at the interface between computer science and neuroscience. He is broadly interested in reverse engineering how the brain and mind work in health and disease, in order to understand the neural circuits that give rise to mental experience and to extract brain inspired 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 and has held research and teaching positions in Europe, the UK, the US, and China.
Academic Staff List Make an EnquiryThis programme combines a computing core with computer vision, data science, and machine learning specialisms. This offers students the theoretical and practical experience needed to develop the innovative solutions required in a dynamic and innovative technology sector.
Course content is informed by the work and research carried out in the School, especially in machine learning and Computer Vision, as well as related areas. This approach aims to ensure content is both leading-edge and underpinned by the latest thinking in the field.
The programme enables students to explore topics including advanced artificial intelligence, computer vision, machine learning, applied signal and image processing, and neural computing.
Students also have the opportunity to undertake a substantial research project focusing on an area of personal and professional interest, through the development of a dissertation and substantive software implementation.
This programme combines a computing core with computer vision, data science, and machine learning specialisms. This offers students the theoretical and practical experience needed to develop the innovative solutions required in a dynamic and innovative technology sector.
Course content is informed by the work and research carried out in the School, especially in machine learning and Computer Vision, as well as related areas. This approach aims to ensure content is both leading-edge and underpinned by the latest thinking in the field.
The programme enables students to explore topics including advanced artificial intelligence, computer vision, machine learning, applied signal and image processing, and neural computing.
Students also have the opportunity to undertake a substantial research project focusing on an area of personal and professional interest, through the development of a dissertation and substantive software implementation.
Students on this course are expected to study the core modules which include Advanced Artificial Intelligence, Computer Vision, Frontiers of Machine Learning and Computer Vision Research, Machine Learning, Applied Signal and Image Processing, and Neural Computing.
Students also have the opportunity to undertake a research methods module designed to cover the fundamental skills and background knowledge that students may require for undertaking research in this area.
Students can then complete a substantial research project focusing on an area of personal and professional interest, for example through a substantive software implementation and the development of a dissertation.
Postgraduate level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour in class, students are expected to spend at least two to three hours in independent study. For more detailed information please contact the Programme Leader.
Students on this course are expected to study the core modules which include Advanced Artificial Intelligence, Computer Vision, Frontiers of Machine Learning and Computer Vision Research, Machine Learning, Applied Signal and Image Processing, and Neural Computing.
Students also have the opportunity to undertake a research methods module designed to cover the fundamental skills and background knowledge that students may require for undertaking research in this area.
Students can then complete a substantial research project focusing on an area of personal and professional interest, for example through a substantive software implementation and the development of a dissertation.
The programme offers two approaches depending on the time of entry:
The October 2022 intake will take the following structure:
Term A: Applied Signal and Image Processing (Core), Advanced Artificial Intelligence (Core), and Neural Computing (Core).
Term B: Computer Vision (Core), Frontiers of Machine Learning and Computer Vision Research (Core), Machine Learning (Core), and Big Data Analytics and Modelling (Core).
Term C: Research Methods (Core) and Research Project (Core).
The February 2023 intake will take the following structure:
Term B: Computer Vision (Core), Frontiers of Machine Learning and Computer Vision Research (Core), Machine Learning (Core) and Big Data Analytics and Modelling (Core)
Term C: Research Project (Core) and Research Methods (Core)
Term A: Applied Signal and Image Processing (Core), Advanced Artificial Intelligence (Core) and Neural Computing (Core).
Each module consists typically of 12 weeks of study, which includes a supporting lecture programme, a series of supported laboratory sessions, and time for the completion of assignment exercises and/or examinations. The research project module is an independent study supported by a specialised supervisor, and is carried out during Term C independently of the time of entry to the programme.
Weekly contact hours on this programme may vary depending on the individual module options chosen and the stage of the study. The programme is supported by online access to lecture material and related information.
Postgraduate level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour spent in class, students are expected to spend at least two to three hours in independent study. For more detailed information please contact the Programme Leader.
† 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.
† 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.
The programme may be assessed through a variety of means, including in-class tests, coursework, projects and examinations. The final stage research project provides further opportunity to specialise and to complete an extended piece of work.
The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to you promptly usually within 15 working days after the submission date.
The programme may be assessed through a variety of means, including in-class tests, coursework, projects and examinations. The final stage research project provides further opportunity to specialise and to complete an extended piece of work.
The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to you promptly usually within 15 working days after the submission date.
Students in the School of Computer Science are taught by academics with specialist experience in areas including computer vision and medical imaging, autonomous systems and robotics, cloud computing, data science, and games 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.
At Lincoln, we constantly invest in our campus as we aim to provide the best learning environment for our students. Whatever the area of study, the University strives to ensure students have access to specialist equipment and resources, to develop the skills, which they may need in their future career.
Technical resources for Computer Science include research facilities and laboratories, a computer engineering workshop, workstations with full development software platforms, and a range of equipment for loan including, Raspberry Pi, Oculus Rift and HTC Vive virtual reality kit, smartphones, and robots.
Postgraduate study is an investment in yourself and your future, and it's important to understand the costs involved and the funding options available before you start. A full breakdown of the fees associated with this programme can be found on our course fees pages.
For eligible students, there are more ways than ever before to fund your postgraduate study, whether you want to do a taught or research course. For those wishing to undertake a Master's course, you can apply for a loan as a contribution towards the course and living costs. Loans are also available to those who wish to undertake doctoral study. The University offers a number of scholarships and funded studentships for those interested in postgraduate study. Learn how Master's and PhD loans, scholarships, and studentships can help you fund your studies on our Postgraduate Fees and Funding pages.
For each course students may find that there are additional costs. These may be with regard to the specific clothing, materials, or equipment required. Some courses provide opportunities for to undertake field work or field trips. Where these are compulsory, the cost for travel and accommodation will be covered by the University and so is included in the fee. Where these are optional, students will normally be required to pay their own transport, accommodation, and general living costs.
With regards to text books, the University provides students who enrol with a comprehensive reading list and students will find that our extensive library holds either material or virtual versions of the core texts that they are required to read. However, students may prefer to purchase some of these for themselves and will be responsible for this cost.
Postgraduate study is an investment in yourself and your future, and it's important to understand the costs involved and the funding options available before you start. A full breakdown of the fees associated with this programme can be found on our course fees pages.
For eligible students, there are more ways than ever before to fund your postgraduate study, whether you want to do a taught or research course. For those wishing to undertake a Master's course, you can apply for a loan as a contribution towards the course and living costs. Loans are also available to those who wish to undertake doctoral study. The University offers a number of scholarships and funded studentships for those interested in postgraduate study. Learn how Master's and PhD loans, scholarships, and studentships can help you fund your studies on our Postgraduate Fees and Funding pages.
For each course students may find that there are additional costs. These may be with regard to the specific clothing, materials, or equipment required. Some courses provide opportunities for to undertake field work or field trips. Where these are compulsory, the cost for travel and accommodation will be covered by the University and so is included in the fee. Where these are optional, students will normally be required to pay their own transport, accommodation, and general living costs.
With regards to text books, the University provides students who enrol with a comprehensive reading list and students will find that our extensive library holds either material or virtual versions of the core texts that they are required to read. However, students may prefer to purchase some of these for themselves and will be responsible for this cost.
Please note that International applications for the January/February 2022 intake have now closed. Places are still open for October 2022.
First or second class honours degree in a discipline involving a significant element of computer programming, such as computer science, engineering, or other science and technology subjects.
If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages for information on equivalent qualifications.
https://www.lincoln.ac.uk/home/studywithus/internationalstudents/entryrequirementsandyourcountry/
Overseas students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element. For information regarding other English language qualifications we accept, please visit the English Requirements page.
https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/englishlanguagerequirements/
If you do not meet the above IELTS requirements, you may be able to take part in one of our Pre-sessional English and Academic Study Skills courses. These specialist courses are designed to help students meet the English language requirements for their intended programme of study.
https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/pre-sessionalenglishandacademicstudyskills/
Please note that International applications for the January/February 2022 intake have now closed. Places are still open for October 2022.
First or second class honours degree in a discipline involving a significant element of computer programming, such as computer science, engineering, or other science and technology subjects.
If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages for information on equivalent qualifications.
https://www.lincoln.ac.uk/home/studywithus/internationalstudents/entryrequirementsandyourcountry/
Overseas students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element. For information regarding other English language qualifications we accept, please visit the English Requirements page.
https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/englishlanguagerequirements/
If you do not meet the above IELTS requirements, you may be able to take part in one of our Pre-sessional English and Academic Study Skills courses. These specialist courses are designed to help students meet the English language requirements for their intended programme of study.
https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/pre-sessionalenglishandacademicstudyskills/
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.
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 MoreAt Lincoln, we strive to make sure our student experience is engaging, supportive, and academically challenging. That is why, in response to the issues presented by the Covid-19 pandemic, we have been prioritising face-to-face teaching sessions for our new and returning students in areas where they are the most valuable, such as seminars, tutorials, workshops, and lab and practical sessions. Additional online opportunities have been introduced where they support learning and have been shown to be successful and popular with our current students.
Safety remains a key focus. We are fully prepared to adapt our plans if changes in Government guidance makes this necessary, and we will endeavour to keep current and prospective students informed. For more information about how we are working to keep our community safe, please visit our coronavirus web pages.