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MSc Intelligent Vision

MSc Intelligent Vision

Expertise in the School of Computer Science span computing technologies and information systems, including robotics and autonomous systems, computer vision and image engineering, medical applications of technology, games computing, VR/AR, data science/ML/AI, and human-computer interaction.

The Course

This programme combines a computing core with computer vision, data science, and machine learning specialisms to offer 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 carried out in the School, especially in machine learning and Computer Vision as well as related areas. This 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.

The Course

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 need to undertake research in this area. Students can then complete a substantial research project focusing on an area of personal and professional interest, through the development of a dissertation and substantive software implementation.

Contact Hours and Independent Study

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.

Advanced Artificial Intelligence (Core)
Find out more

Advanced Artificial Intelligence (Core)

This module aims to cover the theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents.

Search is introduced as a unifying framework for Artificial Intelligence (AI), followed by key topics including blind and informed search algorithms, planning and reasoning, both with certain and uncertain (e.g. probabilistic) knowledge. Practical exercises in AI programming will complement and apply the theoretical knowledge acquired to real-world problems.

Applied Signal and Image Processing (Core)
Find out more

Applied Signal and Image Processing (Core)

This module will explore current methodologies in the field of signal and image processing, covering a range of aspects in capturing, processing, analysing and interpreting n-dimensional content.

The aim is to offer students with a deep understanding and to allow an exposure to the latest developments in signal and image processing, equipping them with knowledge in practical depth. The module will also provide training in programming skills (e.g. Matlab), tools and methods that are necessary for the implementation of such systems.

The module will also cover applications of signal and image processing in various fields, allowing the students the chance to establish a full awareness of technology advances in this rapidly evolving field.

Big Data Analytics and Modelling (Core)
Find out more

Big Data Analytics and Modelling (Core)

This module explores current methodologies in the field of big data analytics and modelling, covering a range of aspects in collecting, transforming, processing, analysing and make inferences out of large amounts of data, which can either be signals or visual data.

The aim is to offer students a deeper understanding and to allow an exposure to the latest developments in big data analytics, equipping them with knowledge in practical depth. The module will also provide training in programming skills (e.g. python), tools and methods (e.g. Apache Spark, Spark Machine/Deep Learning, distributed analytics, etc.) that are necessary for the implementation of big data analytics systems.

The module will also cover applications of big data analytics in various fields, such as Cybersecurity, Internet of Things, and Computer Vision, allowing students the chance to establish a full awareness to the technology advance in this rapidly evolving field.

Computer Vision (Core)
Find out more

Computer Vision (Core)

This module aims to explore current methodologies in the field of computer vision, covering a range of aspects in capturing, processing, analysing and interpreting rich visual content.

The aim is to offer students with a deep understanding and to allow an exposure to the latest developments in computer vision, equipping them with knowledge in practical depth. The module will also provide the opportunity for training in programming skills (e.g. Matlab), tools and methods that are necessary for the implementation of computer vision systems.

The module will also cover applications of computer vision in various fields, such as in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems, allowing the students the opportunity to establish a full awareness to the technology advance in this rapidly evolving field.

Frontiers of Machine Learning and Computer Vision Research (Core)
Find out more

Frontiers of Machine Learning and Computer Vision Research (Core)

This module is designed to give students the opportunity to develop an understanding of the “state of the art” in machine learning and computer vision research, including an understanding of the theoretical developments and current applications in the field.

Machine Learning (Core)
Find out more

Machine Learning (Core)

This module aims to cover the theoretical fundamentals and practical application of machine learning algorithms, including supervised, unsupervised, reinforcement and evolutionary learning. Practical programming exercises complement and apply the theoretical knowledge acquired to real-world problems such as data mining.

Neural Computing (Core)
Find out more

Neural Computing (Core)

The module introduces the fundamentals of neural computing, an emergent specialised area of computer science that is concerned to describe how the brain “computes” by simplifying neuronal biology to a set of equations.

Emphasis will be given on mathematical descriptions and computational techniques used to study and understand neurons and network of neurons. Specific topics will cover synaptic transmission and plasticity, learning and memory and vision processing including applications in object recognition and scene understanding.

Students can develop an understanding of core neural computing concepts and models, the current vision technology landscape, and topical application scenarios using a number of computational tools.

Research Methods (MSc Computer Science) (Core)
Find out more

Research Methods (MSc Computer Science) (Core)

This module is designed to cover the fundamental skills and background knowledge that students may need to undertake research related to the title of the award being studied, including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations.

Research Project (Core)
Find out more

Research Project (Core)

This module gives students with the opportunity to carry out a significant project, focusing on an area of particular personal and professional interest, through the development of a dissertation and substantive software implementation.

The research project is an individual piece of work, which gives students the chance to apply and integrate elements of study from a range of modules, centred on a specific research question. Students are expected to undertake work that is relevant to the ongoing research in one of the established research centres within the Lincoln School of Computer Science and will work closely under the supervision of a member of that research centre.

Students are required to undertake the development of a software artefact that is non-trivial in scale and goals, and is supported by best-practice application of appropriate theoretical frameworks.

† 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 the opportunity to specialise and to complete an extended piece of work.

Assessment Feedback

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.

 2020/21 Entry*
Home/EU £7,700

Home/EU
(including Alumni Scholarship 20% reduction )**

£6,160
International £16,000
International
(Including International Alumni / Global Postgraduate Scholarship £2,000 reduction)**
£14,000
   
 Part-time Home/EU £43 per credit point
 Part-time International £89 per credit point

 

Loans

A Postgraduate Master's Loan can help with course fees and living costs while you study. Individuals** will be able to borrow up to £10,906 for the purpose of completing an eligible postgraduate Master's qualification. The amount available will depend on the start date of your course.

Scholarships

As a postgraduate student you may be eligible for scholarships in addition to those shown above.

Guidance for Part-time Postgraduate Fees

To complete a standard Master's Taught programme, you must complete 180 credit points.

Full time students will be invoiced for the programme in full upon initial enrolment.

For part-time students, tuition fees are payable each credit point enrolled. To calculate your part-time fees, multiply the part-time fee per credit point by the number of credits you intend to complete within that academic year. This is usually between 60 and 90 credit points per year.

For example, if the fee per credit point for your programme is £49, and you enrol on 60 credits, the tuition fee payable for that academic year will be £2,940.

Fees for enrolment on additional modules

Tuition fees for additional activity are payable by the student/sponsor and charged at the equivalent £ per credit point rate for each module. Additional activity includes:

- Enrolment on modules that are in addition to the validated programme curriculum

- Enrolment on modules that are over and above the full credit diet for the relevant academic year

- Retakes of modules as permitted by the Board of Examiners

Exceptionally tuition fees may not be payable where a student has been granted a retake with approved extenuating circumstances.

For further information and for details about funding your study, scholarships and bursaries, please see our Postgraduate Fees & Funding pages [www.lincoln.ac.uk/home/studyatlincoln/postgraduateprogrammes/feesandfunding/].

Other Costs

For each course you 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 you 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 your fee. Where these are optional, you will normally be required to pay your own transport, accommodation and general living costs.

With regards to text books, the University provides students who enrol with a comprehensive reading list and you will find that our extensive library holds either material or virtual versions of the core texts that you are required to read. However, you may prefer to purchase some of these for yourself and you will be responsible for this cost.

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-session 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/

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.

Advanced Artificial Intelligence (Core)
Find out more

Advanced Artificial Intelligence (Core)

This module aims to cover the theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents.

Search is introduced as a unifying framework for Artificial Intelligence (AI), followed by key topics including blind and informed search algorithms, planning and reasoning, both with certain and uncertain (e.g. probabilistic) knowledge. Practical exercises in AI programming will complement and apply the theoretical knowledge acquired to real-world problems.

Applied Signal and Image Processing (Core)
Find out more

Applied Signal and Image Processing (Core)

This module will explore current methodologies in the field of signal and image processing, covering a range of aspects in capturing, processing, analysing and interpreting n-dimensional content.

The aim is to offer students with a deep understanding and to allow an exposure to the latest developments in signal and image processing, equipping them with knowledge in practical depth. The module will also provide training in programming skills (e.g. Matlab), tools and methods that are necessary for the implementation of such systems.

The module will also cover applications of signal and image processing in various fields, allowing the students the chance to establish a full awareness of technology advances in this rapidly evolving field.

Big Data Analytics and Modelling (Core)
Find out more

Big Data Analytics and Modelling (Core)

This module explores current methodologies in the field of big data analytics and modelling, covering a range of aspects in collecting, transforming, processing, analysing and make inferences out of large amounts of data, which can either be signals or visual data.

The aim is to offer students a deeper understanding and to allow an exposure to the latest developments in big data analytics, equipping them with knowledge in practical depth. The module will also provide training in programming skills (e.g. python), tools and methods (e.g. Apache Spark, Spark Machine/Deep Learning, distributed analytics, etc.) that are necessary for the implementation of big data analytics systems.

The module will also cover applications of big data analytics in various fields, such as Cybersecurity, Internet of Things, and Computer Vision, allowing students the chance to establish a full awareness to the technology advance in this rapidly evolving field.

Computer Vision (Core)
Find out more

Computer Vision (Core)

This module aims to explore current methodologies in the field of computer vision, covering a range of aspects in capturing, processing, analysing and interpreting rich visual content.

The aim is to offer students with a deep understanding and to allow an exposure to the latest developments in computer vision, equipping them with knowledge in practical depth. The module will also provide the opportunity for training in programming skills (e.g. Matlab), tools and methods that are necessary for the implementation of computer vision systems.

The module will also cover applications of computer vision in various fields, such as in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems, allowing the students the opportunity to establish a full awareness to the technology advance in this rapidly evolving field.

Frontiers of Machine Learning and Computer Vision Research (Core)
Find out more

Frontiers of Machine Learning and Computer Vision Research (Core)

This module is designed to give students the opportunity to develop an understanding of the “state of the art” in machine learning and computer vision research, including an understanding of the theoretical developments and current applications in the field.

Machine Learning (Core)
Find out more

Machine Learning (Core)

This module aims to cover the theoretical fundamentals and practical application of machine learning algorithms, including supervised, unsupervised, reinforcement and evolutionary learning. Practical programming exercises complement and apply the theoretical knowledge acquired to real-world problems such as data mining.

Neural Computing (Core)
Find out more

Neural Computing (Core)

The module introduces the fundamentals of neural computing, an emergent specialised area of computer science that is concerned to describe how the brain “computes” by simplifying neuronal biology to a set of equations.

Emphasis will be given on mathematical descriptions and computational techniques used to study and understand neurons and network of neurons. Specific topics will cover synaptic transmission and plasticity, learning and memory and vision processing including applications in object recognition and scene understanding.

Students can develop an understanding of core neural computing concepts and models, the current vision technology landscape, and topical application scenarios using a number of computational tools.

Research Methods (MSc Computer Science) (Core)
Find out more

Research Methods (MSc Computer Science) (Core)

This module is designed to cover the fundamental skills and background knowledge that students need to undertake research related to the title of the award being studied, including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations.

Research Project (Core)
Find out more

Research Project (Core)

This module gives students with the opportunity to carry out a significant project, focusing on an area of particular personal and professional interest, through the development of a dissertation and substantive software implementation.

The research project is an individual piece of work, which gives students the chance to apply and integrate elements of study from a range of modules, centred on a specific research question. Students are expected to undertake work that is relevant to the ongoing research in one of the established research centres within the Lincoln School of Computer Science and will work closely under the supervision of a member of that research centre.

Students are required to undertake the development of a software artefact that is non-trivial in scale and goals, and is supported by best-practice application of appropriate theoretical frameworks.

† 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.

 2020/21 Entry*
Home/EU £7,700

Home/EU
(including Alumni Scholarship 20% reduction )**

£6,160
International £16,000
International
(Including International Alumni / Global Postgraduate Scholarship £2,000 reduction)**
£14,000
   
 Part-time Home/EU £43 per credit point
 Part-time International £89 per credit point

 

Loans

A Postgraduate Master's Loan can help with course fees and living costs while you study. Individuals** will be able to borrow up to £10,906 for the purpose of completing an eligible postgraduate Master's qualification. The amount available will depend on the start date of your course.

Scholarships

As a postgraduate student you may be eligible for scholarships in addition to those shown above.

Guidance for Part-time Postgraduate Fees

To complete a standard Master's Taught programme, you must complete 180 credit points.

Full time students will be invoiced for the programme in full upon initial enrolment.

For part-time students, tuition fees are payable each credit point enrolled. To calculate your part-time fees, multiply the part-time fee per credit point by the number of credits you intend to complete within that academic year. This is usually between 60 and 90 credit points per year.

For example, if the fee per credit point for your programme is £49, and you enrol on 60 credits, the tuition fee payable for that academic year will be £2,940.

Fees for enrolment on additional modules

Tuition fees for additional activity are payable by the student/sponsor and charged at the equivalent £ per credit point rate for each module. Additional activity includes:

- Enrolment on modules that are in addition to the validated programme curriculum

- Enrolment on modules that are over and above the full credit diet for the relevant academic year

- Retakes of modules as permitted by the Board of Examiners

Exceptionally tuition fees may not be payable where a student has been granted a retake with approved extenuating circumstances.

For further information and for details about funding your study, scholarships and bursaries, please see our Postgraduate Fees & Funding pages [www.lincoln.ac.uk/home/studyatlincoln/postgraduateprogrammes/feesandfunding/].

Other Costs

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.

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/

Learn from Experts

Throughout this degree, students may receive tuition from professors, senior lecturers, lecturers, researchers, practitioners, visiting experts or technicians, and they may also be supported in their learning by other students.

Tryphon Lambrou Image

Dr Tryphon Lambrou

Programme Leader

Dr Tryphon Lambrou joined the School of Computer Science in November 2012. Dr Lambrou's specialisms include Medical Imaging, Medical Signal/Image Processing, and Computer Vision. Before joining the University of Lincoln Tryphon held several post-doctoral research posts with UCL and KCL.


Your Future Career

Career and Personal Development

The University Careers and Employability Team offer qualified advisors who can work with students to provide tailored, individual support and careers advice during their time at the University. As a member of our alumni we also offer one-to-one support in the first year after completing a course, including access to events, vacancy information and website resources; with access to online vacancies and virtual resources for the following two years.

This service can include one-to-one coaching, CV advice and interview preparation to help you maximise our graduates future opportunities.

The service works closely with local, national and international employers, acting as a gateway to the business world.

Visit our Careers Service pages for further information http://www.lincoln.ac.uk/home/campuslife/studentsupport/careersservice/.

Career and Personal Development

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.

The University Careers and Employability Team offer qualified advisors who can work with students to provide tailored, individual support and careers advice during their time at the University. As a member of our alumni we also offer one-to-one support in the first year after completing a course, including access to events, vacancy information and website resources; with access to online vacancies and virtual resources for the following two years.

This service can include one-to-one coaching, CV advice and interview preparation to help you maximise our graduates future opportunities.

The service works closely with local, national and international employers, acting as a gateway to the business world.

Visit our Careers Service pages for further information:
http://www.lincoln.ac.uk/home/campuslife/studentsupport/careersservice/.


Facilities

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.

Students can study and research in the University's Great Central Warehouse Library, which provides more than 250,000 printed books and approximately 400,000 electronic books and journals, as well as databases and specialist collections. The Library has a range of different spaces for shared and individual learning.


The University intends to provide its courses as outlined in these pages, although the University may make changes in accordance with the Student Admissions Terms and Conditions.