The growth of big data, social computing and the Internet of things are accelerating the demand for high level computing skills. This course offers the opportunity to study both the theory of computation and practical approaches to the design and implementation of systems.
The course is based upon the internationally recognised Association of Computing Machinery recommendations for Computer Science curriculum guidelines and equips students with the solid base of computing knowledge required in this fast-moving field.
Why Computer Science at LSBU?
Choose to specialise in a variety of aspects of computer science including computer engineering; big data and business intelligence; collaborative computing and devices and sensors.
Students gain a wealth of experience in using industry-standard equipment, computer programming and simulation facilities.
Ranked joint 2nd for Overall Score amongst London Modern Competitors for Computer Science (Complete University Guide 2021).
Our London location puts you in the heart of the UK’s vibrant and rapidly expanding tech-industry.
Once we have made you an offer, you can apply for accommodation. You can rent from LSBU and you’ll deal directly with the university, not third party providers. That means we can guarantee you options to suit all budgets, with clear tenancy agreements and all-inclusive rents that include insurance for your personal belongings, internet access in each bedroom and on-site laundry facilities.
Or, if you’d rather rent privately, we can give you a list of landlords – just ask our Accommodation Service.
You don't need to wait for a confirmed place on a course to start applying for student finance. Read how to pay your fees as an undergraduate student.
Prepare to start
After you’ve received your offer we’ll send you emails about events we run to help you prepare for your course.
Before you start your course we’ll send you information on what you’ll need to do before you arrive and during your first few days on campus. You can read about the process on our Enrolment pages.
The course offers a balanced programme including the theory of computation, machine architecture, machine language, algorithms, data structures, programming and software development, software engineering, operating systems, databases, user-centred design and security. It also offers various speciality areas such as artificial intelligence, mobile and cloud computing.
Principles of data networks This module introduces the principles of data networks, the inter-networked environment, and various technologies related to data networking using experimentation and programming assignments. The module lays the foundations of the data-networking course. You'll develop an understanding of the networking environment, which forms the basis of the inter-networked computer infrastructure, as well as of the applications and terminology used in an inter-networked environment.
Systems and cyber security This module covers all aspects of the complex field of security in computer systems and networks. It will teach the fundamental principles of computer security and how they impact the many different areas in which computer technology is used. It will explore the diverse range of threats faced by systems and the network infrastructure that connect them together and the measures that can be taken to counter them. Assessment methods: 60% coursework, 40% exam.
Object-oriented programming This module will introduce the more sophisticated programming constructs associated with object-oriented programming, the dominant programming paradigm in current use. It will also introduce event-driven programming and how it relates to the development of graphical user interfaces. This module will explore practical application development using graphical user interfaces and will cover the use of classes and objects of a kind found in many real world applications. The use of professional development tools will give a rounded picture of the development process. Assessment method: 100% coursework.
ICT project management in practice This module provides students with an opportunity to work collaboratively with students from other disciplines on ICT projects. Students will work in teams and will go through the full ICT development lifecycle from requirements elicitation, feasibility study, design and development, testing and deployment. The module involves real clients and users who have genuine expectations that the developed digital solution will address their needs.
Project (double-weighted) The project is a level 6 double module (i.e. worth 40 credits) for the Honours degree, enabling students to demonstrate the extent of the theoretical knowledge and practical skills which they have gained through prior study and industrial internships, if any.
Artificial intelligence This module covers the history and contemporary development of artificial intelligence systems and looks forward to likely near-future developments. It will cover all the major techniques of problem description, knowledge representation and data searching that represent the current toolkit for developing intelligent applications. Assessment methods: 60% coursework, 40% exam.
Data mining and big data analytics This module provides a broad introduction to the basic theory, concepts, and techniques of data mining, and its role in business intelligence. It will cover the main topics in the area. The focus of the practical aspect of this module is business analytics. SAS® Enterprise Miner and SAS® Enterprise Guide will be taught and used throughout in order for you to develop practical skills in solving real world data mining problems. Assessment methods: 60% coursework, 40% exam.
Mobile computing Mobile devices are among the most common devices used for every day computing tasks. Their portable nature, inherent connectivity and multiple sensors make them a distinctive platform with unique characteristics. This module explores these unique aspects, the special considerations developers must take into account when developing for mobile platforms and the opportunities for new kinds of applications they offer. Assessment methods: 60% coursework, 40% exam.
Smart internet technologies Smart Internet Technologies comprise set of enablers to deal with the limitation of existing Internet. This includes but not limited All-IP Networking Architectures, evolution towards Cloud Computing and 5G networking architectures, open-based networking technologies, SDN/NFV challenges and IoT technologies and its interworking with Cloud and 5G networks.
AR/VR technologies This module covers the technologies and the algorithms required to develop and deploy virtual reality and augmented reality applications. The module will cover VR and AR hardware, stereoscopic vision, rendering, AR/VR software development, 3D user interfaces and presence and 360 video.
At LSBU, we want to set you up for a successful career. During your studies – and for two years after you graduate – you’ll have access to our Employability Service, which includes:
Free employability workshop and events for student all year round, more details can be found on our event section.
Online board where you can see a wide range of placements: part-time, full-time or voluntary. You can also drop in to see our Job Shop advisers, who are always available to help you take the next step in your search.
LSBU Careers Hub offering group workshops on CVs, interview techniques and support, guidance on future careers, as well as loads of career resources, connecting you with employers, exciting events, 1-1 support and relevant workshops.
Our Student Enterprise team can also help you start your own business and develop valuable entrepreneurial skills.
After completing this course you'll understand how to specify, develop, design and test software and use industry-standard software for the specification, design, simulation and prototyping of computer systems.
Career opportunities include computer programming, software and web development, IT consultancy, and application design. You could work in any number of sectors, or choose to start your own business.
LSBU and IBM are strategic partners, and are collaborating on the content of this course.
Teaching and Assessment
Our teaching staff are involved in research and consultancy at the forefront of the industry. You'll learn in a modern, well-equipped environment complete with sophisticated technology.
Approach to learning
Taking on both group and individual projects, we assess your work through a mixture of coursework and exams, with project and laboratory work counting towards your final award. You’ll be taught problem solving, project planning and team management to give you the best chance of getting the job you want once you graduate.
As an undergraduate or MEng Engineering student, you will be allocated a named tutor during your first three weeks at LSBU. The role of your tutor is to be your primary contact for academic and professional development support.
Your tutor will support you to get the most of your time at LSBU, providing advice and signposting to other sources of support in the University.
Your tutor should be the first person at the university that you speak to if you are having any difficulties that are affecting your work. These could be academic, financial, health-related or another type of problem.
You will have appointments with your personal tutor at least twice a semester throughout your course. You can contact your tutor for additional support by email or in person.