Key Information

Full-time

1 year

Campus

Brayford Pool

Validation Status

Validated

Fees

View

Course Code

INTVISMS

MSc Intelligent Vision

Explore topics including advanced artificial intelligence, computer vision, machine learning, applied signal and image processing, and neural computing.

Key Information

Full-time

1 year

Campus

Brayford Pool

Validation Status

Validated

Fees

View

Course Code

INTVISMS

Teaching and Learning During COVID-19

The current COVID-19 pandemic has meant that at Lincoln we are making changes to our teaching and learning approach and to our campus, to ensure that students and staff can enjoy a safe and positive learning experience here at Lincoln.

From autumn 2020 our aim is to provide an on-campus learning experience. Our intention is that teaching will be delivered through a mixture of face-to-face and online sessions. There will be social activities in place for students - all in line with appropriate social distancing and fully adhering to any changes in government guidance as our students' safety is our primary concern.

We want to ensure that your Lincoln experience is as positive, exciting and enjoyable as possible as you embark on the next phase of your life. COVID-19 has encouraged us to review our practices and, as a result, to take the opportunity to find new ways to enhance the Lincoln experience. It has challenged us to find innovative new approaches to supporting students' learning and social interactions. These learning experiences, which blend digital and face-to-face, will be vital in helping to prepare our students for a 21st Century workplace.

Of course at Lincoln, personal tutoring is key to our delivery, providing every student with a dedicated tutor to support them throughout their time here at the University. Smaller class sizes mean our academic staff can engage with each student as an individual, and work with them to enhance their strengths. In this environment we hope that students have more opportunities for discussion and engagement and get to know each other better.

Course learning outcomes are vital to prepare you for your future and we aim to utilise this mix of face-to-face and online teaching to deliver these. Students benefit from and enjoy fieldtrips and placements and, whilst it is currently hard to predict the availability of these, we are working hard and with partners and will aspire to offer these wherever possible - obviously in compliance with whatever government guidance is in place at the time.

We are utilising a range of different digital tools for teaching including our dedicated online managed learning environment. All lectures for larger groups will be delivered online using interactive software and a range of different formats. We aim to make every contact count and seminars and small group sessions will maximise face-to-face interaction. Practicals, workshops, studio sessions and performance-based sessions are planned to be delivered face-to-face, in a socially distanced way with appropriate PPE.

The University of Lincoln is a top 20 TEF Gold University and we have won awards for our approach to teaching and learning, our partnerships and industry links, and the opportunities these provide for our students. Our aim is that our online and socially distanced delivery during this COVID-19 pandemic is engaging and that students can interact with their tutors and each other and contribute to our academic community.

As and when restrictions start to lift, we aim to deliver an increasing amount of face-to-face teaching and external engagements, depending on each course. Safety will continue to be our primary focus and we will respond to any changing circumstances as they arise to ensure our community is supported. More information about the specific approaches for each course will be shared when teaching starts.

Of course as you start a new academic year it will be challenging but we will be working with you every step of the way. For all our students new and established, we look forward to welcoming you to our vibrant community this Autumn. If you have any questions please visit our FAQs or contact us on 01522 886644.

Dr Tryphon Lambrou - Programme Leader

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 University College London and King's College London.

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Welcome to MSc Intelligent Vision

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.

How You Study

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.

What You Need to Know

We want you to have all the information you need to make an informed decision on where and what you want to study. To help you choose the course that’s right for you, we aim to bring to your attention all the important information you may need. Our What You Need to Know page offers detailed information on key areas including contact hours, assessment, optional modules, and additional costs. For research programmes this includes research fees and research support fees.

Find out More

An Introduction to Your Modules

Module Overview

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.

Module Overview

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.

Module Overview

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.

Module Overview

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.

Module Overview

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.

Module Overview

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.

Module Overview

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.

Module Overview

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.

Module Overview

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.

How you are assessed

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.

Fees and Scholarships

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.

Course Fees

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.

Course-Specific Additional 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.

Entry Requirements 2020-21

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/

Research Informed

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.

Special Features

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 access to more than 200,000 journals and 600,000 print and electronicbooks, as well as databases and specialist collections. The library is open 24/7 for the majority of the academic year.

Student using a HTC device.

Career Opportunities

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.

Postgraduate Events

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
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.
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