Our Computer Systems Engineering and Robotics (including foundation year) BEng is a four-year degree that includes a built-in foundation year (Year 0).
The foundation year will introduce you to the key principles of computer systems and engineering, preparing you for the next three years of your course. You’ll graduate with all the applied knowledge you’ll need to work in the computing and engineering industries.
Our Computer Systems Engineering and Robotics (including foundation year) BEng will prepare you to study at undergraduate level, developing your confidence and academic skills in areas relating to computing. This preparatory year is shared with other foundation year courses, so you’ll get to study with a wide range of students with various interests. Should you wish to change your specialism following your foundation year, there will be flexibility to do so.
During your foundation year you will become familiar with computer security, computer networks, mathematical techniques, programming language and theoretical concepts related to computer software design. Building skills in these key areas of study will ensure you’re well-equipped for the following three years of your course.
On the course you’ll have access to our specialist laboratories for computer-aided design (CAD), electronics, microwave and satellite communications, embedded systems and digital systems and opto-electronics. The computing and engineering skills you'll learn will help you succeed in becoming a computer systems professional.
You'll graduate with a full undergraduate degree with the same title and award as those who studied the traditional three-year course.
You’ll be assessed through coursework, reports, case studies and assignments. There will also be laboratory-based examinations, a final engineering project and a dissertation.
In addition to the University's standard entry requirements, you should have:
If you meet the UCAS points criteria but obtained a D/3 in English and/or Maths at GCSE, you may be offered a University test in these areas.
To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.
If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.
The modules listed below are for the academic year 2019/20 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.
Year 0 modules include:
On this module students will learn the fundamental knowledge concerning computer security, basic cyber threats and the corresponding detection and defence techniques. Core security concepts, terminology, technologies and professional cyber security skills will be introduced via case studies and laboratory experiments.
This module aims to introduce basic hardware and software elements relevant to robotics and internet of things (IoT) at foundation level (level 3). In particular, the module is designed to provide students with an introductory overview and practical experience in design and development of a simple system involving elements of robotics and IoT.
The module covers the necessary principles and theory through formal lectures/seminars followed by comprehensive laboratory practice involving workshop-based exercises and a case study.
This module introduces students to a range of mathematical techniques involving algebraic properties and graphs of the algebraic, logarithm, exponential and trigonometric functions. Furthermore the module introduces mathematical techniques of differentiation and integration of simple functions.
The module introduces students to theoretical concepts underpinning computer software design; and to programming using a high-level language concentrating on sequence, selection, iteration (loops) and list processing. It is assessed by three individual online tests (20%, 20%, and 30% weighting) and a group programming assignment (30% weighting).
It aims to enable the student to use a programming language in a familiar and confident way in a variety of practical situations, and to use an integrated programming development environment competently.
It also enables the student to design and write simple programs, individually and in groups, using the programming language constructs described in the syllabus below; and to develop techniques to ensure software quality and robustness, and to produce a reflective report.
Year 1 modules include:
The module introduces students to the basics of Information Technology; past, current and future trend in computer systems. The detailed design of a small scale Computer Systems is presented where students have the opportunity to build, configure and test a computer system for a given application. Students will identify the basic features of the Windows operating system and its elements. Health Safety issues and the safe disposal of equipment is also covered leading to an understanding and appreciation of social, ethical, environmental and economic issues related to computer’s hardware and software element. The module aims to
1. To introduce students to the fundamental concepts of Information Technology and basic networking,
2. To provide a working technical knowledge of modern computer systems and their respective components,
3. To introduce Operating systems by focusing on Windows products, identifying similarities and differences,
4. Identify the correct approach to preventive maintenance and upgrading, and troubleshooting
5. Introducing students to Assembly language and how it interacts with hardware
6. Awareness of social, environmental, commercial and economic aspects of PC technology
The module is designed to introduce the most common electronics devices and their applications in small-scale systems. The module is divided into two broad sections of analogue and digital electronics. The module is based on formal seminar/lecture sessions followed by comprehensive practicals/tutorials in both areas which provide an opportunity for students to gain experience in using and applying the laboratory’s test and measurement equipment/simulators.
The aims of the module are as follows:
1. 1. To familiarise students with commonly used electronic components, standard laboratory test and measurement equipment and their usage in designing/analysing, building, and testing simple electronic circuits/systems.
2. 2. To introduce students to circuit simulation software and develop an awareness of its strengths and limitations
3. 3. To introduce students to the basic electronics and measurement techniques through practical approach and provide scope for putting theory into practice and develop investigation/analysis skills that exemplify core electrical and measuring principles relevant to the course.
4. 4. To develop the ability to write a well-structured, concise and thoughtful logbook / report / poster.
5. To develop the ability to work independently as well as in team
This module develops a range of mathematical techniques including set theory, logic, relations and functions, algebra, differentiation and integration. The techniques provide the foundation for further study of mathematics and related applications in Computer Science, Computer Games Programming, Computer Systems Engineering and Robotics and Electronics and Internet of Things.
This is an introductory programming module, designed to develop interest, ability and confidence in using a programming language. Students will gain the basic knowledge and experience to solve simple programming problems using established techniques in program design, development and documentation.
The student is also expected to develop their confidence needed to program solutions to problems through a series of practical programming exercises.
Assessment: Coursework 1 (30%) + Coursework 2 (30%) + Multiple choice test (40%) [Pass on aggregate]
Year 2 modules include:
This module builds on the knowledge gained in the first-year module CT4002: Electronic Systems. It aims to introduce some subtle, real-world issues associated with electronic sub-systems by means of carefully chosen group design case study. The group design involves hands-on approach in analysis, design and troubleshooting of mixed-signal systems involving discrete components and ICs (Integrated Circuits).
The module follows a key set of engineering processes such as research skills, systems level analysis and design, circuit simulation, PCB/prototyping, soldering and testing which enable them to understand the real-world aspects of simple but sufficiently involved electronic systems.
This laboratory-based module is delivered in such a way that students have a balanced autonomy enabling them to explore personalised learning, creative problem solving, demonstrate and acquire transferable skills.
This module introduces students to the basic concepts of microprocessors and the role that hardware and software play in the functional behaviour of microprocessor systems. Students are then introduced to some of the more common microcontrollers. Interfacing external memories as well as various input/output devices and sensors are also covered. The module enables students to analyse the requirements of a given task, make decisions in selecting an appropriate controller, design and implement prototype hardware/software for a typical embedded systems product. Practical workshops are designed to introduce microprocessor software development, testing and debugging. Workshops provide students with an opportunity to use both ‘C’ and assembly language.
This module focuses on computer laws, social, ethical and professional issues (LSEPI) underpinning the IT discipline. It also covers techniques for the world of work such as job search, CV and interviews as well as professional ethics and responsibilities. Topics on academic research and academic writing are also presented. (Exam and course work).
Assessment: Coursework (60%) + Unseen exam (40%) [Pass on aggregate]
The aims of this module are to:
• Provide students with knowledge and understanding of the regulations governing the digital environment (e.g. Internet) and social, ethical and professional issues (LSEPI) underpinning the IT discipline.
• Prepare students for the world of work and equip them with the knowledge and appreciation of professional bodies, code of conducts and professional certifications.
• Introduce students to academic research and research ethics, and to academic writing.
This module consists of a short work placement (or work-related activity) lasting over one semester. This usually translates into 12 to 15 full working days (or the part time equivalent of this) in the framework of 150 hours (15-credit module) considering some time for reflection, research and documentation. The work placement is facilitated by University’s Careers and Employability Team. The module enables students to undertake an appropriate short period of professional activity, usually related to their course at level 5 (Intermediate level), with a business or community organisation and to gain credit for their achievements. The activity can be student’s part-time job, a volunteering activity, employment activity, an activity within Londonmet, an activity related to client’s brief or business start-up activity.
The module aims to provide students with the opportunity to:
• gain a useful experience of the working environment.
• undertake a real work-related activity/project appropriate at level 5.
• enhance and extend their learning experience by applying and building on their
academic skills and abilities by tackling real life problems in the workplace.
• enhance professional and personal development.
• develop and document employability related skills
This module will enable students to understand the fundamental concepts of data science and appreciate key techniques of data science and its applications in a wide range of business context. Students will be exposed to data understanding, preparation, modelling, results evaluation and data visualisation techniques that can assist businesses in making effective data-driven decisions to improve productivity and consumer satisfaction. Students will be introduced to the practical application of tools and techniques required to perform data science projects in a modern business environment.
This module further develops students’ knowledge and skills in developing software applications for solving problems. It focuses on the data structures and algorithms in programming and the software technologies for building standalone, networked and Internet applications. The module is designed to enhance employability through the use of modern industrial tools and technologies, and familiarisation with the software development life cycle.
The key skills and knowledge to be gained are:-
• Provide students with an understanding of theoretical concepts related to the use of data structures, algorithms, programming patterns and software infrastructure in standalone, networked and Internet environments.
• Develop students’ analytical skills in the context of processing, generating, transforming, transporting, storing, retrieving and presenting data.
• Enhance students’ practical skills using appropriate methods and techniques for designing, programming and integrating software applications using user interfaces, data structures and persistent storage.
• Provide students with an understanding of programming during the different stages of the software development lifecycle.
• Enable students to apply analytical and practical skill in solving typical problems in standalone, networked and Internet environments.
• Enhance students’ experience and employability through the use of appropriate current technologies, enterprise tools and development environments during software development.
Introduces techniques for analysing, designing and implementing database systems. An understanding of data modelling and design concepts is provided and database programming language skills are taught. The practical aspect of developing database systems is emphasised and use is made of a widely-used commercial database system (e.g. Oracle) for this purpose.
The module will enable students to give an introduction to the issues governing the design and implementation of database systems. Theoretical aspects of designing sound database systems, as well as the practical aspects of implementing such systems are presented. This therefore allows students to understand, and put into practice, the techniques available for analysing, designing and developing database systems.
This module is based on Networking Essentials (Cisco). It teaches networking based on application, covering networking concepts within the context of network environments students may encounter in their daily lives – from small office and home office (SOHO) networking. Students who complete this course are prepared to begin the CCNA Routing & Switching and IoT curricula.
Students will recognize the significant impact of networking in the world and learn skills needed for entry-level home and small business network installation positions.
The module covers the necessary background through formal lectures/seminars followed by comprehensive hands-on practical workshops.
The module aims:
• To explain the operation of Local Area Network (LAN), and the internet
• To enable students to perform subnetting of IP addresses as well as scaling IP addresses
• To gain an understanding of static and dynamic routing protocols
• To understand Network documentation, security and troubleshooting
• To understand WLANs, and how to configure residential wireless routers in a SOHO environment
This module helps the students to develop the theoretical and practical knowledge of Network Operating Systems, used by the enterprise today. This is achieved by exposing the student to some of the most commonly used network operating systems. The student will reinforce their theoretical knowledge in practical sessions where they will install configure, manage and troubleshoot network operating systems.
The module covers the necessary background through formal lectures/seminars followed by comprehensive hands-on practical workshops.
The aims of this module are:
1. To understand the importance of Network operating systems(NOS)
2. To explain the operation of Network operating systems , and their benefits
3. To describe hardware requirements for the effective operation of NOS
4. To compare some of the most commonly available NOS, and their abilities and limitations
5. To understand the concept of virtualisation and its application in modern server environments
6. To understand server documentation, security and trouble shooting
This module develops the skills required for the design and analysis of continuous-time signals and linear systems. It provides the necessary mathematical tools for linear circuit analysis and design such as operational amplifier-based active filters. It also provides analysis of periodic and non-periodic signals.
The aims of the module are:
• To understand the necessary mathematical tools for linear system analysis and design
• To understand the necessary mathematical tools for the analysis of signals
• To apply the mathematical tools on real applications involving signals and linear time-invariant systems
• To develop the ability in solving a real problem in the field of linear systems such as active filter design and analysis.
• To develop the ability in analysing periodic and non-periodic signals
Year 3 modules include:
This module aims to provide students with the technical background and skills necessary to design and construct robotic devices. It reviews a selection of sensors and actuators that are commonly used in robotic products and provides students with practical experience in the design, construction and evaluation of relatively simple fixed and mobile robots. It also helps students develop an awareness of legal requirements governing robotics, including personnel, health & safety, intellectual property rights, product safety and liability issues. The module covers the necessary background through formal lectures/seminars followed by comprehensive hands-on practical workshops.
The module aims to prepare students in analysing, designing and developing image processing algorithms routinely used in commercial computer vision systems (e.g. Robots). This module covers fundamental principles, underlying mathematics, algorithmic implementations and practical configurations of computer vision systems. After successful completion of this module, students are expected to professionally evaluate elements of computer vision systems and work with real-world computer vision systems.
This module extends the digital design techniques learnt at intermediate level to the use of Application Specific Integrated Circuits. It provides an extensive treatment of the use of Virtual Hardware Description Language using the industry's standard (Xilinx/Altera and its associated hardware).
The module enables students to demonstrate their acquired knowledge and skills through a systematic and creative investigation of a project work, either individually or as part of a group, in accordance with their course requirements. The topic of investigation will cover a broad spectrum of various analysis and techniques and will lead to a comprehensive and concise academic/industry-related report. Students will be assisted in exploring areas that may be unfamiliar to them and encouraged to develop innovative ideas and techniques. Students will be able to choose a project that may require the solution to a specific problem, creation of an artefact in a real-world environment or an investigation of innovative ideas and techniques related to an area within their field of study. Collaboration with outside agencies and projects with industrial, business or research partners/ sponsors will be encouraged.
This module equips students with professional level programming skills required for developing distributed software systems to solve real-world problems with guaranteed security. Students are taught alternative conceptual paradigms, design patterns, frameworks and programming techniques for developing distributed systems for local networks, Internet or the Web and securing data and applications. The typical phases of software development life cycle are covered using industry standard languages and tools, for example modelling (UML, XML), design, implementation and testing using popular IDEs, thereby improving students’ employment prospects. Successful completion of this module will give students an opportunity to gain professional Java certification or similar and essential modern requirements of risk assessment prior to embedding appropriate cybersecurity.
This module is designed to develop understanding, knowledge and skills associated with the various malicious hacking attacks targeting computer systems and the appropriate safeguards needed to minimise such attacks.
The module is designed to provide students with technical knowledge and skills on Internet of Things (IoT) technologies. Theoretical material delivered in the lectures is supported by practical lab work to ensure students have a sound grasp of the technical content where students are expected to develop IoT systems. A number of devices, platforms and software tools will be introduced during the course from different vendors. The module is assessed through lab reports and final examination
This module introduces a range of specialist programming techniques as applied to mobile platforms. Specific areas of study will include: programming strategies for resource-limited portable devices – including reviewing key components through the development of exemplar applications using an appropriate mobile-based programming platform such as Java ME and Google Android. The key skills and knowledge to be gained are:
• Understanding theoretical concepts related to the work of software in wireless networks and the use of different protocols, frameworks and tools for building mobile applications
• Learning techniques for programming mobile applications using standard technological frameworks, development tools, mobile device emulators and handsets
• Acquiring practical skills in developing mobile applications which utilize wireless services and mobile Internet
• Applying analytical knowledge and practical skills for building typical mobile applications
• Developing ability to compare protocols, models and paradigms for mobile applications and estimate trade-offs during design using different design patterns, development frameworks and programming techniques
• Building professional competence and increasing the employability through the use of industrial standard technologies and tools for software development
This module is based on Cisco CCNA Security curriculum delivered through Cisco Networking Academy at the University.
This module provides a next step for individuals who want to enhance their CCNA-level skillset and help meet the growing demand for network security professionals. The curriculum provides an introduction to the core security concepts and skills needed for the installation, troubleshooting, and monitoring of network devices to maintain the integrity, confidentiality, and availability of data and devices. This module helps prepare students for entry-level security career opportunities and the globally recognized Cisco CCNA Security certification.
This module is a hands-on, career-oriented e-learning solution with an emphasis on practical experience to help students develop specialized security skills, along with critical thinking and complex problem solving skills. It offers a blended curriculum with both online and classroom learning. To pass this module with good grades, students are expected to have CCNA-level networking concepts knowledge and skills, along with basic PC and Internet navigation skills. The module aims:
1. To provide a firm understanding of Security Policy design and management.
2. To introduce students to security technologies, products and solutions.
3. To provide students with practical experience of configuring firewalls and router security
4. To discuss VPN implementation using routers and firewalls
5. To introduce concepts of Intrusion Detection
6. To explain the implementation of AAA (Authentication, Authorisation and Accounting)
This module aims to provide students with the technical background and skills necessary to design and configure and maintain wireless Lans and Wans.
This module focuses on the design of these networks the devices used and their operation, the planning prior to installation and best practices , the implementation of the network design, security provisions and troubleshooting of Wireless LANs.
y issues. The module covers the necessary background through formal lectures/seminars followed by comprehensive hands-on practical workshops.
1. To introduce Wireless LAN set-up & troubleshooting, 802.11 (a, b, and g) technologies, products & solutions.
2. To describe WLAN applications and site surveys;
3. To discuss resilient WLAN products, design, installation, configuration and troubleshooting;
4. To investigate WLAN security issues and emerging wireless technologies;
5. To develop team work and presentation skills in the context of the module curricula;
Upon graduating from this degree you'll be fully prepared to start your career in computer systems engineering. You'll also have many technical skills that can be used for other areas of employment such as aerospeace, manufacturing, communications, electronics and robotics.
This is a four-year degree course with a built-in foundation year (Year 0). It's the perfect route into university if you don't meet the necessary entry requirements for the standard undergraduate degree. You'll graduate with a full undergraduate degree with the same title and award as those who studied the three-year course.
Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees.
Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
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UK/EU applicants for September full-time entry must apply via UCAS unless specified otherwise.
Applicants for September part-time entry should apply direct to the University using the apply online button.
Non-EU applicants looking to study part-time should apply direct to the University. If you require a Tier 4 (General) student visa, please be aware that you will not be able to study as a part-time student at undergraduate level.
The University and Colleges Admissions Service (UCAS) accepts applications for full-time courses starting in September one year before the start of the course.
Our UCAS institution code is L68.
Visit UCAS for more details.
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After an extensive process, three courses have been awarded Institution of Engineering and Technology accreditation.
Professor in Computer Science and Head of Intelligent Systems Research Centre