Key Information

Full-time

4-5 years

Part-time

8 years

Typical Offer

View

Campus

Brayford Pool

Validation Status

Validated

Fees

View

UCAS Code

G404

Course Code

CMPCMSUM

MComp Computer Science

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Key Information

Full-time

4-5 years

Part-time

8 years

Typical Offer

View

Campus

Brayford Pool

Validation Status

Validated

Fees

View

UCAS Code

G404

Course Code

CMPCMSUM

Dr James Brown - Programme Leader

Dr James Brown - Programme Leader

James is a Senior Lecturer whose research is focused on medical image analysis and computer vision. He teaches a range of undergraduate modules on programming, algorithms, and image processing.

Academic Staff List

Welcome to MComp Computer Science

Society is in the midst of a digital revolution, from the smartphones we use to navigate our daily lives to the advances in artificial intelligence set to transform global industries.

The MComp Computer Science degree is a four-year, integrated Master's degree designed to develop the experience, skills, and knowledge to research, design, and develop a variety of software and hardware computing solutions for real-world problems.

Particular attention is paid to cutting-edge topics, such as artificial intelligence and machine learning, in addition to core computer science disciplines. As an integrated Master's student you can undertake advanced studies in topics such as artificial intelligence, programming, and computer vision. This aims to ensure that your studies are at the forefront of research in the field and meeting the needs of the computing industry. In addition, students are encouraged to work with academics on research projects as well as developing research skills that contribute toward independent project work with a significant research component.

This degree aims to provide a broad foundation in computer science and provides students with the chance to develop the mathematical, analytical, and problem-solving skills required to succeed in the challenging and exciting modern computing industry. The degree covers digital technologies such as big data, cloud computing, artificial intelligence, and robotics, which are currently driving advances in all aspects of the modern world. As such, those with expertise in these areas of computer science may find employment and develop careers in a wide range of sectors such as finance, healthcare, telecommunications, power and energy, and cyber security.

How You Study

In the first year, students have the opportunity to study the fundamental areas of computer science. This includes operating systems, maths for computing, and computer architectures.

The second year aims to build on this foundation, covering artificial intelligence, database systems and networking, with industry certification opportunities available to students for topics such as database systems, networking, and software development. Students will also have the opportunity to work on a group project in the Team Software Engineering module.

In the third year, students study topics such as machine learning, Big Data, and parallel programming. Additionally, students can choose a number of optional areas of study that are of specific interest, such as autonomous mobile robotics, logic and computation, cloud computing, cross-platform development, or cyber security. Third-year students will also be expected to undertake a substantial individual project on a topic of interest.

Students who choose this four-year MComp programme also have the opportunity to study a range of optional modules at Master's level and to complete a research-driven project with real-world applications in an area of individual interest.

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.

Find out More

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.

Advanced Artificial Intelligence 2025-26CMP9132MLevel 72025-26This 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.OptionalAdvanced Programming 2025-26CMP9133MLevel 72025-26This module aims to explore advanced topics using a contemporary object-oriented programming language. The objective is to prepare students for professional-level programming in scientific and commercial computing, and to support programming tasks in other modules of this award. Students can explore a range of programming topics through a series of lectures and practical workshops, and will work on producing an individual programming assignment.OptionalCloud Development 2025-26CMP9785MLevel 72025-26OptionalComputer Vision 2025-26CMP9135MLevel 72025-26This 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.OptionalAlgorithms and Complexity 2022-23CMP1124MLevel 42022-23The module aims to introduce the concepts of Algorithms and Complexity, providing an understanding of the range of applications where algorithmic solutions are required. Students will have the opportunity to be introduced to the analysis of time and space efficiency of algorithms; to the key issues in algorithm design; to the range of techniques used in the design of various types of algorithms. Students can also be introduced to relevant theoretical concepts around algorithms and complexity in the lectures, together with a practical experience of implementing a range of algorithms in the workshops.CoreComputer Architectures 2022-23CMP1125MLevel 42022-23This module aims to introduce the fundamentals of computer hardware underpinning the key aspects of Computer Science. This knowledge is not only essential for deeper understanding of the governing processes behind computing but also for realising how hardware interacts with software. By studying Computer Architecture, students can gain greater confidence in their study subject and future benefits when improving their programming skills. The module will study the individual components of a computer system, their function, main characteristics, performance and their mutual interaction. Examples of the practical application of the skills developed in this module are given utilising a range of computing applications, including but not restricted to the domains of Games and Social Computing applications.CoreMaths for Computing 2022-23CMP1036MLevel 42022-23This module aims to equip students with mathematical knowledge and skills required to design and develop computer systems and software.CoreObject-Oriented Programming 2022-23CMP1903MLevel 42022-23This module extends the concepts and practice of simple computer programming, with attention paid to the essentials that constitute an object-oriented computer program including layout, structure, and functionality. The module aims to extend students' knowledge of computer programming and introduces them to the object-oriented paradigm and related concepts applied to algorithm and software development. There is also emphasis upon the use of version control and its role in archiving and facilitating software development.CoreOperating Systems 2022-23CMP1005MLevel 42022-23In this module students will have the opportunity to study both the theoretical design concepts which underpin all operating systems and, through case studies, the practical implementation techniques of current operating systems. Special attention will be given to shell programming languages and examples, to practically implement concepts and techniques at the basis of the various operating systems.CoreProblem Solving 2022-23CMP1032MLevel 42022-23Problems are a natural occurrence in an organisational context and this module aims to introduce students to problem solving from a mixture of theoretical and practical underpinnings. The module examines the principles of abstraction, decomposition, modelling and representation as a means to frame and characterise problem scenarios, and as tools to understand potential solutions. The module concentrates on problem-solving strategies and in particular the vocabulary through which these strategies are articulated. This type of vocabulary is explored as representational device for capturing organisational behaviour and form.CoreProgramming Fundamentals 2022-23CMP1902MLevel 42022-23This module introduces students to software constructs and the development of simple programs using a high-level programming language. Simple design concepts and standard programming practices are presented, and attention is paid to the fundamentals that constitute a complete computer program including layout, structure, and functionality. Additionally, the fundamental computing data structures allowing the representation of data in computer programs are explored and implemented.CoreAdvanced Programming 2023-24CMP2801MLevel 52023-24This module aims to provide a comprehensive analysis of the general principles and practices of advanced programming with respect to software development. Notions and techniques of advanced programming are emphasised in the context of analysis, design, and implementation of software and algorithms. Great importance is placed upon the Object-Oriented paradigm and related concepts applied to algorithm and software development using the C++ programming language, however students will also be exposed to the principles and underlying theories pertaining to functional programming.CoreArtificial Intelligence 2023-24CMP2020MLevel 52023-24This module aims to provide a basic introduction to the field of Artificial Intelligence (AI). The module first considers the symbolic model of intelligence, exploring some of the main conceptual issues, theoretical approaches and practical techniques. The module further explores knowledge-based systems such as expert systems, which mimic human reasoning performance by capturing knowledge of a domain and integrating it to deliver a performance comparable to that of a human practitioner. Modern developments such as artificial neural networks and uncertain reasoning are also covered using probability theory, culminating in a practical understanding of how to apply AI techniques in practice using logic programming.CoreCloud Computing 2023-24CMP2808MLevel 52023-24CoreNetwork Fundamentals 2023-24CMP2803MLevel 52023-24This module considers basic computer communications and networking with an emphasis on the Internet Protocol. The module examines the Internet Protocol as a model for intercommunication in modern network implementations. Additionally the module examines fundamental design features of a Network Protocol and the need to implement security in the modern Internet. The module adopts a standards driven approach and determines methods used in modern network systems for the distribution of data. An emphasis on network infrastructure and protocols underpins the module together with basic security considerations important in modern network architectures. Aspects of security concepts are extended to consider mechanisms that counter various forms of threat that exist from different sources.CoreScalable Database Systems 2023-24CMP2806MLevel 52023-24This module explores the fundamental concepts of designing, implementing, and using database technologies and students are expected to develop a conceptual view of database theory and then transform it into a practical design of a database application. Alternate design principles for implementing databases for different uses, for example in social media or gaming contexts are also considered.CoreTeam Software Engineering 2023-24CMP2804MLevel 52023-24This module aims to provide students with experience of working as part of a team within a simulated commercial setting. Students have the chance to go through the key phases of software development from ideation through to development, testing, delivery, and publishing. Throughout the module students can learn how to manage and deliver commercial software development projects. This will include ethical, social and professional issues, project management, communication, time management, and team-working strategies. The module aims to further skills developed in the first year and places them in a simulated commercial setting. The final piece of work produced as part of the software development process should be suitable for inclusion within a professional portfolio.CoreUser Experience Design 2023-24CMP2805MLevel 52023-24This module provides students with the opportunity to develop knowledge of the processes and principles of Human-Computer Interaction (HCI) and User Experience Design (UXD) starting with a history and overview of the role HCI in furthering the field of computer science. The module will guide students through notions of usability and accessibility, user-centred design and requirements analysis, prototyping, statistical analysis, and qualitative evaluation using state of the art methods and techniques. The professional, ethical, social, and legal issues in designing and studying interactive technology will be considered throughout.CoreStudy Period Abroad: Computer Science 2023-24CMP2079MLevel 52023-24OptionalBig Data 2024-25CMP3749MLevel 62024-25The module introduces the fundamentals of data science and big data analytics, an emergent specialised area of computer science that is concerned with knowledge on Big Data mining and visualisation, including state-of-the-art database platforms, development toolkits, and industrial and societal application scenarios. Students can be exposed to core Big Data analytics concepts and models, the current technology landscape, and topical application scenarios using a variety of simulation environments and open datasets.CoreMachine Learning 2024-25CMP3751MLevel 62024-25The module introduces the fundamentals of machine learning and principled application of machine learning techniques to extract information and insights from data. The module covers supervised and unsupervised learning methods. The primary aim is to provide students with knowledge and applied skills in machine learning tools and techniques which can be used to solve real-world data science problems.CoreParallel Programming 2024-25CMP3752MLevel 62024-25Parallel Programming is an important modern paradigm in computer science, and a promising direction for keeping up with the expected exponential growth in the discipline. Executing multiple processes at the same time can tremendously increase computational throughput, not only benefiting scientific computations, but also leading to new exciting applications like real-time animated 3D graphics, video processing, and physics simulation. The relevance of parallel computing is especially prominent due to availability of modern, affordable computer hardware utilising multi-core and/or large number of massively parallel units.CoreProject 2024-25CMP3753MLevel 62024-25This module offers students the chance to demonstrate their ability to work independently on a significant, in-depth project requiring the coherent and critical application of computer science theory and skills. Students must initially produce a project proposal and related materials to frame the work, specifying clear, specific, academically justified, and appropriately scoped aims and objectives, as well as feasible means for fulfilling those aims and objectives. Students then work independently to fulfil those project goals. Throughout this process students are expected to demonstrate the application of practical development and analytical skills, innovation and/or creativity, and the synthesis of information, ideas and practices to generate a coherent problem solution.CoreAutonomous Mobile Robotics 2024-25CMP3103MLevel 62024-25The module aims to introduce the main concepts of Autonomous Mobile Robotics, providing an understanding of the range of processing components required to build physically embodied robotic systems, from basic control architectures to spatial navigation in real-world environments. Students will have the opportunity to be introduced to relevant theoretical concepts around robotic sensing and control in the lectures, together with a practical hands on approach to robot programming in the workshops.OptionalCloud Computing 2024-25CMP3747MLevel 62024-25This module explores core Cloud Computing areas such as elastic compute, containers, networking, and durable, highly available storage services. The underlying theory on cloud virtualisation, storage, containerisation, and load-balancing is discussed, providing students with the opportunity to gain skills across the main cloud patterns of Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS). Additionally, students will have the opportunity to develop skills in cloud based Development-Operations (DevOps), with emphasis on cloud scripting and automation using powerful command-line tools. The importance of interoperability will be a key theme of the module by using platform-agnostic approaches when designing and developing cloud services. The module will primarily focus on the PaaS and IaaS cloud patterns. The ethical, legal and security implications of cloud computing data storage are also discussed.OptionalCross-Platform Development 2024-25CMP3035MLevel 62024-25This module aims to provide students with knowledge on an alternative, and increasingly important, platform agnostic approach for mobile development. This approach embraces the use of cross-platform methods by developing applications with a single code base that run efficiently across distinct mobile platforms, with maximum code reuse and interoperability. Students will have the opportunity to investigate platform-dependent constraints by critiquing the emergent space of cross-platform tools and frameworks that aim to maximise code sharing between mobile platforms, whilst retaining common like-for-like sensor features such as geolocation, camera, storage and push notifications without compromising performance or overall user experience. Contemporary cross-platform tools will be adopted throughout the module for the creation of applications that bridge multiple mobile platforms.OptionalCyber Security 2024-25CMP3750MLevel 62024-25This module provides an understanding of the challenges in cyber security faced by society and industry. This includes an examination of the impact of threats and develops an understanding of mechanisms to reduce the risk of attack. The module examines a range of cyber threats and attack types and introduces strategies to mitigate these. It also prompts students to consider the legal, social, and ethical implications of cyber security.OptionalGraphics 2024-25CGP3018MLevel 62024-25This module introduces the student to the theory, principles, methods, and techniques of 3D computer graphics. The specialised mathematical underpinnings are explored along with their practical application in algorithms commonly used in videogame development. The development of skills in implementing computer graphic applications with modern, standard graphics pipelines encourages students to develop their programming skills while observing the theory of 3D graphics in practice. This is delivered through a hands-on games programming context where students will be encouraged to develop interactive 3D graphics applications using industry standard tools and technologies. This module aims to develop students' awareness and ability to implement and utilise mathematical approaches commonly seen in real-time systems such as videogames. In addition, modern graphical techniques will be explored, with reference to current industry practice, and students will be expected to demonstrate an ability to analyse requirements, systematically appraise existing methods, and employ critical-thinking in the development of their own pieces of work.OptionalImage Processing 2024-25CMP3108MLevel 62024-25Digital image processing techniques are used in a wide variety of application areas such as computer vision, robotics, remote sensing, industrial inspection, medical imaging, etc. It is the study of any algorithms that take image as an input and returns useful information as output. This module aims to provide a broad introduction to the field of image processing, culminating in a practical understanding of how to apply and combine techniques to various image-related applications. Students will have the opportunity to extract useful data from the raw image and interpret the image data the techniques will be implemented using the mathematical programming language Matlab or OpenCV.OptionalLogic and Computation 2024-25CMP3755MLevel 62024-25This module explores Computation Theory, including logics, definitions and models of computation, proofs about programs, proofs as programs, and limits on what is computable. The module will aim to develop critical-thinking and problem conceptualisation and solving skills, as well as the formal concepts used to structure computational thinking.OptionalPhysics Simulation 2024-25CGP3012MLevel 62024-25Realistic physics simulation is a key component for many modern technologies including computer games, video animation, medical imaging, robotics, etc. This wide range of applications benefiting from real-time physics simulation is a result of recent advances in developing new efficient simulation techniques and the common availability of powerful hardware. The main application area considered in this module is computer games, but the taught content has much wider relevance and can be applied to other areas of Computer Science.OptionalVirtual and Augmented Reality 2024-25CMP3754MLevel 62024-25In this module, students can develop their understanding of how to design and develop and applications for Virtual and Augmented Reality (VR/AR) platforms. The module will start by introducing students to underpinning theoretical concepts of user experience in VR platforms, such as immersion, presence, fidelity, and embodiment. These will be used as a framework to explore a wide range of applications, primarily training and education, medical applications, therapy, and entertainment. Fundamental design aspects will be introduced, such as interfaces and interactions, interactions with non-human characters, locomotion, and object manipulations. Within the context of training/education, design considerations relating to learning outcomes, knowledge transfer, and retention will be discussed. Students are expected to consider the role of fidelity in relation to safety critical training, such as medical applications, and the advantages of VR over traditional displays will also be considered. Students can also learn how to assess user experience in VR using a variety of tools (primarily self-report measures). Students can also look at limitations such as simulator sickness, and accessibility of movement-based interfaces. The AR section of this module will mirror the VR topics mentioned, and compare and contrast AR platforms with VR, to enable students to make appropriate platform choices. Alongside theoretical aspects, students can engage in parallel practical workshops, during which they will put into practice some of the concepts discussed in lectures. This will involve the use of appropriate development tools and platforms, and consideration of design aspects. Students have the chance to build an application during workshops, and use this as a tool to conduct an evaluation related to user experience.OptionalMComp Research Project 2025-26CMP9056MLevel 72025-26The MComp Research Project is an individual piece of work that expects students to apply and integrate theoretical knowledge and practical skills from the breadth of their experience with computer science sub-disciplines, in order to address a specific research question or questions formulated with support from academic staff. The form and nature of this project is negotiable, but at MComp Level 4 there are typically three types of Project that are undertaken: - Industrial Based Project work (typically engaged with through a work placement) - Client-based project delivery (typically with an approved client in either public, private or third sector partners, and with a clearly articulated delivery) - A research based project (typically done in conjunction with a member of academic staff in the School and with a clear linkage to research activity of the staff member but which could include collaborative projects with research groups at other Universities) The student can undertake work that is predominantly relevant to the ongoing research in one of the established research centres within the School of Computer Science. In all cases the Project supervisor will ensure that the study undertaken is suitably grounded within the programme title of each student.CoreAutonomous Mobile Robotics (M) 2025-26CMP9050MLevel 72025-26This module introduces the main concepts of Autonomous Mobile Robotics, providing an understanding of the range of processing components required to build physically embodied robotic systems, from basic control architectures to spatial navigation in real-world environments. Students are introduced to relevant theoretical concepts around robotic sensing and control in the lectures, together with a practical hands on approach to robot programming in the workshops. Working at Master's level, students can research the area in depth and produce critical reports of their findings.OptionalCloud Computing (M) 2025-26CMP9768MLevel 72025-26This module explores core Cloud Computing areas such as elastic compute, containers, networking, and durable, highly available storage services. The underlying theory on cloud virtualisation, storage, containerisation, and load-balancing is discussed, providing students with the opportunity to gain skills across the main cloud patterns of Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS). Additionally, students will have the opportunity to develop skills in cloud based Development-Operations (DevOps), with emphasis on cloud scripting and automation using powerful command-line tools. The importance of interoperability will be a key theme of the module by using platform-agnostic approaches when designing and developing cloud services. The module will primarily focus on the PaaS and IaaS cloud patterns. The ethical, legal and security implications of cloud computing data storage are also discussed.OptionalCross-Platform Development (M) 2025-26CMP9062MLevel 72025-26OptionalCyber Security (M) 2025-26CMP9771MLevel 72025-26This module provides an understanding of the challenges in cyber security faced by society and industry. This includes an examination of the impact of threats and develops an understanding of mechanisms to reduce the risk of attack. The module examines a range of cyber threats and attack types and introduces strategies to mitigate these. It also prompts students to consider the legal, social, and ethical implications of cyber security. As a Master's level module students are also encouraged to consider current research in the field of cyber security.OptionalGraphics (M) 2025-26CGP9024MLevel 72025-26This module introduces students to the theory, principles, methods, and techniques of 3D computer graphics. The specialised mathematical underpinnings are explored along with their practical application in algorithms commonly used in videogame development. The development of skills in implementing computer graphic applications with modern, standard graphics pipelines encourages students to develop their programming skills while observing the theory of 3D graphics in practice. This will be delivered through a hands-on games programming context where students will be encouraged to develop interactive 3D graphics applications using industry standard tools and technologies. This module aims to develop students' awareness and ability to implement and utilise mathematical approaches commonly seen in real-time systems such as videogames. In addition, modern graphical techniques will be explored, with reference to current industry practice and students will be expected to demonstrate an ability to analyse requirements, systematically appraise existing methods and employ critical thinking in the development of their own work.OptionalImage Processing (M) 2025-26CMP9055MLevel 72025-26This module aims to provide a broad introduction to the field of image processing, culminating in a practical understanding of how to apply and combine techniques to various image-related applications. Students are expected to be able to extract useful information from the raw image and interpret the image data. The techniques will be implemented using the mathematical programming language Matlab or OpenCV.OptionalLogic and Computation (M) 2025-26CMP9784MLevel 72025-26OptionalPhysics Simulation (M) 2025-26CGP9025MLevel 72025-26Realistic physics simulation is a key component for many modern technologies including computer games, video animation, medical imaging, and robotics. This wide range of applications benefiting from real-time physics simulation is a result of recent advances in developing new efficient simulation techniques and the common availability of powerful hardware. The main application area considered in this module is computer games, but the taught content has much wider relevance and can be applied to other areas of computer science.OptionalVirtual and Augmented Reality (M) 2025-26CMP9774MLevel 72025-26In this module student can develop and design applications for Virtual and Augmented Reality (VR/AR) platforms. Students can consider different areas of applications, including training, simulation, medical/therapeutic, games, and other interactive experiences. This will comprise theoretical aspects of design for VR/AR systems, including such topics as locomotion and control methods, representation of virtual worlds, and non-human characters. It will also cover practicalities of development and deployment using appropriate tools. Students can also look at limitations such as simulator sickness, and accessibility, and how to evaluate user experience. Students can build and test their own applications using VR and AR equipment.Optional

Special Features

There is a range of equipment for loan, including Raspberry Pi devices, smartphones, robots, and virtual reality equipment such as HTC Vive and Oculus Quest.

Students on this course are taught by academics whose research has been internationally recognised. Researchers in the School include Marc Hanheide, Professor of Intelligent Robotics and Interactive Systems, and Nigel Allinson MBE, Distinguished Professor of Image Engineering, who has been supported with a £3.3 million grant from the UK’s Engineering and Physical Sciences Research Council for advances in medical imaging.

The School is also a Microsoft Imagine Academy member and Cisco Academy member, which gives students the opportunity to gain industry recognised qualifications such as Microsoft Technology Associate and Cisco certification.

Student using a HTC device.

Placements

This programme is optionally available in a sandwich mode variant. If students choose the sandwich placement option, they take a year out in industry between the second and third year. This provides the opportunity to gain industrial experience. Students are supported throughout their placement, which can be overseas. Students are required to pay for their own travel, accommodation, and general living costs while on placements and study visits. There is no tuition fee for the placement year.

There are also opportunities to take shorter work placements, for example over the summer period, and to be involved in systems development projects for real industry clients.

Accreditations and Memberships

This course is accredited by The British Computer Society. The University of Lincoln is also affiliated with The Institution of Analysts and Programmers.

How you are assessed

The course is assessed through a variety of means, including in-class tests, coursework, projects and examinations. The majority of assessments are coursework-based, reflecting the practical and applied nature of computer science, and in many instances are informed by the types of tasks currently undertaken in industry.

The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to students promptly usually within 15 working days after the submission date.

Fees and Scholarships

Going to university is a life-changing step 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

For eligible undergraduate students going to university for the first time, scholarships and bursaries are available to help cover costs. The University of Lincoln offers a variety of merit-based and subject-specific bursaries and scholarships. For full details and information about eligibility, visit our scholarships and bursaries pages.

Entry Requirements 2022-23

United Kingdom

A Level: BBB (120 UCAS Tariff points from a minimum of 3 A Levels or equivalent qualifications).

International Baccalaureate: 30 points overall

BTEC Extended Diploma: Distinction, Distinction, Merit or equivalent.

Access to Higher Education Diploma: 45 Level 3 credits with a minimum of 120 UCAS Tariff points.

A combination of qualifications which may include A Levels, BTEC, EPQ, etc.

Applicants will also need at least three GCSEs at grade 4 (C) or above, which must include English and Maths. Equivalent Level 2 qualifications may also be considered.

The University accepts a wide range of qualifications as the basis for entry. We will also consider applicants with extensive and relevant work experience and will give special individual consideration to those who do not meet the standard entry qualifications.

International

Non UK Qualifications:

If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages:

https://www.lincoln.ac.uk/home/studywithus/internationalstudents/entryrequirementsandyourcountry/

EU and 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.

If you would like further information about entry requirements, or would like to discuss whether the qualifications you are currently studying are acceptable, please contact the Admissions team on 01522 886097, or email admissions@lincoln.ac.uk

“The range of academics and facilities has been noted by many of my friends from other universities. The Careers and Employability team helped me get a dream placement as a software developer with J.P. Morgan.”

James Allington-Kay, BSc (Hons) Computer Science graduate

Career Opportunities

This degree aims to equip graduates with the mathematical, analytical, and problem-solving skills that make them well-placed for computer and technology-related roles across a range of sectors. Recent graduates have secured roles at GCHQ and major companies including IBM, Bloomberg, PwC, J.P. Morgan, Cisco, Sky, and G4S. Some graduates may wish to pursue academic careers and study at Doctoral level.

Visit Us in Person

The best way to find out what it is really like to live and learn at Lincoln is to join us for one of our Open Days. Visiting us in person is important and will help you to get a real feel for what it might be like to study here.

Book Your Place

Related Courses

Visit Us in Person

The best way to find out what it is like to live and learn at Lincoln is to join us for one of our Open Days. Visit us to explore the Isaac Newton Building, where our students can access specialist equipment such as Raspberry Pi devices, smartphones, robots, and virtual reality equipment.

Book Your Place

Prioritising Face-to-Face Teaching

At 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.

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.