MSc Intelligent VisionUniversity of Lincoln
MSc Intelligent Vision
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About this program
MSc Intelligent Vision
The MSc Intelligent Vision is designed to equip students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global AI Vision industry in healthcare, brain sciences, medical imaging, robotics, manufacturing, retail, agriculture, space, energy, and nuclear.
Course content is informed by research carried out in the School of Computer Science, especially in brain-inspired AI, deep learning, machine learning, data analytics, computer vision, and neurobotics. This approach aims to ensure content is both leading-edge and underpinned by the latest thinking in the field.
The programe provides students the chance to enhance and apply existing knowledge of computer programing and mathematical frameworks through laboratory workshops, lectures, debates, and independent research.
The course assumes a familiarity with programing concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain.
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.
There are two requirements and you will need to provide evidence of both of them in your application:
- A first or upper second class honours degree in computer science or a related discipline. This could include engineering, mathematics, physics, or other numerate science and technology subjects.
- Competence in computer programing. Acceptable forms of evidence of this skill to include in your application include, but are not limited to: (a) academic degree transcript showing 2:1 level scores in one or more programing classes; (b) a copy of a university, employment, or hobby project report detailing programing work; (c) a link to a source code site such as gitlab or github containing samples of your code; (d) a certificate of completion of an online programing course and exam such as
If you have a good numerate degree but no programing experience then you may be able to satisfy the requirements by self-studying programing and passing a programing test online, such as through the above links. This may take a few weeks or months of part-time study depending on your previous knowledge. It is quite common for students to apply in this way.
If your application does not include sufficient evidence of both of the above, you may be asked to provide samples of self-directed project work or to have an informal conversation to clarify them.
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.
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.
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 programe of study.
For more information about admission requirements, please visit the university website.
Does this course require proof of English proficiency?
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- Advanced Artificial Intelligence
- Advanced Machine Learning
- Applied Signal and Image Processing
- Big Data Analytics and Modelling
- Computer Vision
- Frontiers of Machine Learning and Computer Vision Research
- Neural Computing
- Research Methods (MSc Computer Science)
- Research Project
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
- Home: £9000
- International: £16300
How You Study
Students on this Program can experience a blend of different teaching and learning approaches. The Program aims to enable the development of skills through practical workshops in the laboratory, and academic knowledge through debate, lectures, discussion, and personal research.
Modules assume a familiarity with programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain. Each module typically consists of 12 weeks of study. This time includes a supporting lecture Program, a series of supported laboratory sessions, and time for the completion of assignment exercises and examinations. Weekly contact hours on this Program may vary depending on the individual module options chosen and the stage of study. The Program is also 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.
Students must 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.
This programe 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.
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About this institute
Situated in the heart of a beautiful and historic city, we are placed among the top 20 universities in the UK for student satisfaction in both the Complete University Guide 2022 and the Guardian University Guide 2022. Employers are increasingly...
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