Clearing offers from 48 UCAS tariff points. Subject-specific requirements still apply. See the entry requirements section for details.
Computer science is about solving real problems using technology, from building and deploying applications to understanding artificial intelligence and how computers operate.
At Lincoln, this course is designed to take you from curious beginner to confident developer, with practical experience, industry exposure, and clear career outcomes built in.
You'll graduate with the skills, projects, and confidence employers look for in software developers, engineers, and technology specialists.
Computer science is about solving real problems using technology, from building and deploying applications to understanding artificial intelligence and how computers operate.
At Lincoln, this course is designed to take you from curious beginner to confident developer, with practical experience, industry exposure, and clear career outcomes built in.
You'll graduate with the skills, projects, and confidence employers look for in software developers, engineers, and technology specialists.
You’ll develop skills in:
A diverse range of assessment methods are used on the programme and are designed to evaluate your mastery of theoretical computer science and practical proficiencies. Assessments include in-class tests, individual and group projects, and time-constrained assessments.
Every topic is taught with real-world use in mind, so you understand not just how things work, but why they matter in industry.
You'll graduate with:
This module aims to equip students with an understanding of time and space efficiency, enabling them to select appropriate algorithms for the programming problems they are presented with. Students will be introduced to relevant theoretical concepts around algorithms and data structures in lectures, together with practical experience of implementing them in the workshops.
This module introduces the fundamentals of computer hardware. You will be provided with the knowledge of how core computer components function and how they come together to form a single system. The module will introduce data representation and digital logic, followed by a study of the Central Processing Unit, memory, interconnections and I/O devices. Standard, sequential (i.e. von Neumann) architecture will be compared to modern hardware platforms that are based on multi-core processors, parallel units and embedded systems.
This module introduces students to software constructs and the development of programs using a high-level programming language. Students will learn about standard programming practices and develop software using the object-oriented programming paradigm. Attention is paid to the fundamentals that constitute a complete computer program including layout, structure, and functionality. There is also emphasis upon the use of debugging tools and unit testing.
This module will outline the main components of the software design and development process that ensure software is fit for purpose and of sufficient quality. Students will develop their practical understanding and appreciation of frameworks for software development processes using case studies and practical implementations.
In 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.
In industry, computer scientists and software developers work in teams to create solutions to a variety of different problems. This module aims to introduce the art of problem solving, teamwork, and the industry employment process to help equip students with the skillsets required for an industry setting.
This module offers a hands‑on introduction to the core concepts of machine learning, showing you how intelligent systems learn from data to make predictions and uncover hidden patterns. Through practical work with both supervised and unsupervised methods, you will build the skills needed to tackle real‑world data science challenges and apply machine learning techniques across a wide range of domains.
The module aims to provide a modern introduction to the concepts of symbolic artificial intelligence, set in the context of intelligent agents.
The module covers the concepts such as state space representations and search, heuristic and adversarial search methods, and optimization techniques. The module also covers knowledge representation, AI planning, and some nonstatistical, machine learning methods.
This module will explore the ‘full stack’ of web application technologies. You will have the opportunity to learn how to design and develop both the frontend and backend of modern web applications. The module aims to cover the three-tier architecture approach for developing web applications: i) presentation tier, ii) application tier, and iii) data tier. You can learn how to use the relevant technologies for each tier, encompassing web presentation, application programmable interfaces (APIs), and database technologies. The overall aim of the module is for you to learn the how to develop robust client-server applications using secure and scalable technologies.
This 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.
This purpose of this module is to provide students with the experience of working as part of a team within a simulated commercial setting. Students will go through the key phases of software development from ideation through to development, testing, delivery, and publishing. Through the module students will 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.
This module develops on the skills learnt in the first year and places them in a simulated commercial setting. The artefact produced as part of the software development process should be suitable for inclusion within a professional portfolio.
This 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.
This module provides an opportunity for students in the School of Engineering and Physical Sciences to spend a year abroad at one of the University’s partner institutions. During the year abroad, students share classes with students at their chosen destination and study on a suite of locally delivered modules. This module will extend the length of your programme by one year and is taken between level 5 (year 2) and level 6 (year 3).
The 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.
This module aims to equip you with the skills to design and develop connected, data-driven mobile applications, leveraging smartphone sensor technologies such as location, camera and proximity sensors. Consuming RESTful web services will be an area of focus for the data driven components of mobile app development. You can utilize contemporary tools to build mobile applications by applying industry-standard techniques for both code-base development and user-centered design.
This 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.
The field of software development is continuously evolving, driven in part by the increasing usage of generative AI and the requirement to protect applications from sophisticated cyber-attacks. This module aims to introduce students to modern development practices. Students will gain hands-on experience in tools and practices used for secure application development, deployment and monitoring.
The 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.
This 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.
Digital image processing techniques are used in a wide variety of application areas such as computer vision, robotics, remote sensing, industrial inspection and medical imaging. Image processing is the study of algorithms that take images as an input and return information about these images. 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 raw images and interpret the result.
This module is intended to introduce students with the fast growing area of consumer electronics design.
Apart from interface and size issues, portable consumer electronics present some of the toughest design and engineering challenges in all of technology. This module breaks the complex design process down into its component parts, detailing every crucial issue from interface design to chip packaging, focusing upon the key design parameters of convenience, utility and size.
Realistic 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.
In 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.
† 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.
This module aims to equip students with an understanding of time and space efficiency, enabling them to select appropriate algorithms for the programming problems they are presented with. Students will be introduced to relevant theoretical concepts around algorithms and data structures in lectures, together with practical experience of implementing them in the workshops.
This module introduces the fundamentals of computer hardware. You will be provided with the knowledge of how core computer components function and how they come together to form a single system. The module will introduce data representation and digital logic, followed by a study of the Central Processing Unit, memory, interconnections and I/O devices. Standard, sequential (i.e. von Neumann) architecture will be compared to modern hardware platforms that are based on multi-core processors, parallel units and embedded systems.
This module introduces students to software constructs and the development of programs using a high-level programming language. Students will learn about standard programming practices and develop software using the object-oriented programming paradigm. Attention is paid to the fundamentals that constitute a complete computer program including layout, structure, and functionality. There is also emphasis upon the use of debugging tools and unit testing.
This module will outline the main components of the software design and development process that ensure software is fit for purpose and of sufficient quality. Students will develop their practical understanding and appreciation of frameworks for software development processes using case studies and practical implementations.
In 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.
In industry, computer scientists and software developers work in teams to create solutions to a variety of different problems. This module aims to introduce the art of problem solving, teamwork, and the industry employment process to help equip students with the skillsets required for an industry setting.
This module offers a hands‑on introduction to the core concepts of machine learning, showing you how intelligent systems learn from data to make predictions and uncover hidden patterns. Through practical work with both supervised and unsupervised methods, you will build the skills needed to tackle real‑world data science challenges and apply machine learning techniques across a wide range of domains.
The module aims to provide a modern introduction to the concepts of symbolic artificial intelligence, set in the context of intelligent agents.
The module covers the concepts such as state space representations and search, heuristic and adversarial search methods, and optimization techniques. The module also covers knowledge representation, AI planning, and some nonstatistical, machine learning methods.
This module will explore the ‘full stack’ of web application technologies. You will have the opportunity to learn how to design and develop both the frontend and backend of modern web applications. The module aims to cover the three-tier architecture approach for developing web applications: i) presentation tier, ii) application tier, and iii) data tier. You can learn how to use the relevant technologies for each tier, encompassing web presentation, application programmable interfaces (APIs), and database technologies. The overall aim of the module is for you to learn the how to develop robust client-server applications using secure and scalable technologies.
This 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.
This purpose of this module is to provide students with the experience of working as part of a team within a simulated commercial setting. Students will go through the key phases of software development from ideation through to development, testing, delivery, and publishing. Through the module students will 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.
This module develops on the skills learnt in the first year and places them in a simulated commercial setting. The artefact produced as part of the software development process should be suitable for inclusion within a professional portfolio.
This 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.
This module provides an opportunity for students in the School of Engineering and Physical Sciences to spend a year abroad at one of the University’s partner institutions. During the year abroad, students share classes with students at their chosen destination and study on a suite of locally delivered modules. This module will extend the length of your programme by one year and is taken between level 5 (year 2) and level 6 (year 3).
The 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.
This module aims to equip you with the skills to design and develop connected, data-driven mobile applications, leveraging smartphone sensor technologies such as location, camera and proximity sensors. Consuming RESTful web services will be an area of focus for the data driven components of mobile app development. You can utilize contemporary tools to build mobile applications by applying industry-standard techniques for both code-base development and user-centered design.
This 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.
The field of software development is continuously evolving, driven in part by the increasing usage of generative AI and the requirement to protect applications from sophisticated cyber-attacks. This module aims to introduce students to modern development practices. Students will gain hands-on experience in tools and practices used for secure application development, deployment and monitoring.
The 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.
This 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.
Digital image processing techniques are used in a wide variety of application areas such as computer vision, robotics, remote sensing, industrial inspection and medical imaging. Image processing is the study of algorithms that take images as an input and return information about these images. 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 raw images and interpret the result.
This module is intended to introduce students with the fast growing area of consumer electronics design.
Apart from interface and size issues, portable consumer electronics present some of the toughest design and engineering challenges in all of technology. This module breaks the complex design process down into its component parts, detailing every crucial issue from interface design to chip packaging, focusing upon the key design parameters of convenience, utility and size.
Realistic 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.
In 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.
† 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.
Starting university, especially in a technical subject, can feel like a big step. Lincoln is designed to support you throughout.
You'll benefit from:
You won’t be expected to figure everything out alone; support is built into your experience.
The Computer Science programme at Lincoln has done an excellent job of providing a diverse range of topics relevant to the current industry. This has not only increased my confidence in my ability to enter the workplace, but it has also encouraged me to develop and pursue my own specific interests.
Emma Baskerville
BSc (Hons) Computer Science
This programme offers an optional sandwich year. By choosing this route, you can spend a year in industry between your second and third years, gaining valuable professional experience. You will receive support throughout your placement, including opportunities overseas.
A Placement Year Fee applies for students starting in 2025/26 and beyond, and you are responsible for your own travel, accommodation, and living costs. In addition, you can pursue shorter placements - such as summer internships - or contribute to academic research projects.
Students have secured placements with organisations including CGI IT UK, BMW, Lincolnshire County Council, Lloyds Banking Group, and Intel Corporation (UK) Ltd.
A Computer Science degree opens the door to a wide range of high-demand careers.
The UK tech sector continues to grow rapidly, and digital skills are in demand across nearly every industry - giving you flexibility and long-term career security.
104 to 112 UCAS Tariff points.
This must be achieved from a minimum of 2 A Levels or equivalent Level 3 qualifications. For example:
A Level: BCC to BBC
BTEC Extended Diploma: Distinction Merit Merit
T Level: Merit Overall
Access to Higher Education Diploma: 104 to 112 UCAS points to be achieved from 45 Level 3 credits.
International Baccalaureate: 29 points overall.
GCSE's: Minimum of three at grade 4 or above, which must include English and Maths . Equivalent Level 2 qualifications may be considered.
The University accepts a wide range of qualifications as the basis for entry and do accept a combination of qualifications which may include A Levels, BTECs, Extended Project Qualification (EPQ).
We may 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.
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
/studywithus/internationalstudents/entryrequirementsandyourcountry/ for information on equivalent qualifications.
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
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
104 to 112 UCAS Tariff points from a minimum of 2 A Levels or equivalent Level 3 qualifications.
If you are eligible for a contextual offer, a one grade or 8 UCAS Tariff point reduction to the standard entry requirements will be applied.
A Level: BBC
BTEC Extended Diploma: DMM
T Level: Merit
Access to Higher Education Diploma: 45 Level 3 credits with a minimum of 112 UCAS Tariff points.
International Baccalaureate: 29 points overall
GCSE's: Minimum of three at grade 4 or above, which must include English and Maths . Equivalent Level 2 qualifications may be considered.
The University accepts a wide range of qualifications as the basis for entry and do accept a combination of qualifications which may include A Levels, BTECs, Extended Project Qualification (EPQ).
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.
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
/studywithus/internationalstudents/entryrequirementsandyourcountry/ for information on equivalent qualifications.
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
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
This course could be a good fit if you:
University Study is a major investment, so it’s important to understand the costs and support available. A full breakdown of the fees associated with this programme can be found below. Eligible students may be able to access scholarships and bursaries to help with study costs.
University Study is a major investment, so it’s important to understand the costs and support available. A full breakdown of the fees associated with this programme can be found below. Eligible students may be able to access scholarships and bursaries to help with study costs.
This degree has been accredited by BCS, The Chartered Institute for IT. Accreditation is a mark of assurance that the degree meets the standards set by BCS. A full CITP accredited degree entitles you to apply for professional membership of BCS and meets the evidence of breadth of knowledge in the assessment for registration as a Chartered IT Professional (CITP).
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The best way to find out what it is really like to live and learn at Lincoln is to visit us in person. We offer a range of opportunities across the year to help you to get a real feel for what it might be like to study here.
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We want you to have all the information you need to make an informed decision on where and what you want to study. In addition to the information provided on this course page, our What You Need to Know page offers explanations on key topics including programme validation/revalidation, additional costs, and contact hours.
We want you to have all the information you need to make an informed decision on where and what you want to study. In addition to the information provided on this course page, our What You Need to Know page offers explanations on key topics including programme validation/revalidation, additional costs, and contact hours.