BSc (Hons) COMPUTER SCIENCE (ARTIFICIAL INTELLIGENCE)

London South Bank University

United Kingdom, London

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Home/United Kingdom/London /London South Bank University/BSc (Hons) COMPUTER SCIENCE (ARTIFICIAL INTELLIGENCE)

London South Bank University

United Kingdom , London

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Southwark

Program Language

English

Start & Deadlines

Next Intake Deadlines24-Sep-2026

Apply to this program

Go to the official application for the university

Duration 4 year(s)

Tuition Fee

GBP 17,600 / year(s)

Next Intake 24-Sep-2026

BSc (Hons) COMPUTER SCIENCE (ARTIFICIAL INTELLIGENCE)

About

Building on our track record of developing the digital workforce of the future, we're excited to launch a new Artificial Intelligence pathway as part of our established Computer Science BSc (Hons) programme.

Shape the future of tech

This specialist degree is more than just an investment in your career: it’s a chance to influence the future of technology and society. With a strong focus on employability, you'll gain in-depth training in AI, underpinned by core skills in data science and data engineering. You'll graduate ready to thrive across a wide range of industries, with the knowledge and experience to succeed in the fast-moving world of tech.

Why Computer Science and Artificial Intelligence at LSBU?

book reader: The programme is designed to align with The Chartered Institute of IT (BCS) and Chartered Engineers (CEng) accreditation requirements.
book reader: We produce many entrepreneurial graduates, who start their own companies such as Reward Gateway and Silicone Rhino. Others have gained employment shortly after graduation at companies including F5, Framatome, Accenture, JP Morgan, PWC, NHS and Skanska.
laptop: Gain hands-on experience with core and advanced AI tools and techniques, including Python, deep learning, computer vision, and natural language processing, through practical modules and industry-standard software like OpenCV. You'll access high-performance labs, cloud-based software, and research-grade infrastructure to build real-world skills and drive innovation across tech sectors. Visit our School of Computer Science and Digital Technologies webpage to explore the full list of facilities.
puzzle-piece: Industry partners: Including Amazon Web Services, Taylor and Francis Group and EC Council who have enhanced the development of our undergraduate Computer Science programmes.
fa fa-users: From AI machine learning boot camp to silent film processing, there is a range of extracurricular activities for students to get involved in.

Requirements

Entry Requirements

Entry Level Requirements

Need further information? Call us on 0800 923 8888 to discuss entry requirements.

112 UCAS points. Visit UCAS for guidance on the tariff.
GCSE Maths grade 4 (C) or equivalent.
If you do not meet the entry criteria above we also review any previous skills, knowledge or experience you have gained outside of your education and are happy to talk through any extenuating circumstances you feel relevant. You may also be interested in our Computer Science with Foundation Year (BSc Hons) programme.

Career

Careers

Employability Service

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:

An 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.
Our Careers Gym offering group workshops on CVs, interview techniques and finding work experience, as well as regular presentations from employers across a range of sectors.

Our Student Enterprise team can also help you start your own business and develop valuable entrepreneurial skills.

Careers

Worldwide, Artificial Intelligence specialists are in increasingly high demand across all business and public sectors where process automation and pattern recognition are needed. Artificial Intelligence professionals enable the processes and algorithms for automation processes and pattern recognition via learning.

The course modules have been developed with a strong focus on practical applications of the taught techniques to real-world scenarios and applications. Students can demonstrate not only what they have learned on the course, but also how they can apply to address real-world problems, and therefore, can enhance students' employability. During the course, students can also join various technical clubs or a research project under supervision of academics.

Recent graduates from the BSc (Hons) Computer Science programme have gone on to start tech careers at companies including:

Accenture
F5
Framatome
JP Morgan
NHS
PWC
Skanska.

Placements

For those students who choose to take the four year sandwich course, the third year is spent on an industrial placement in the UK and guided by our dedicated team. This four-year Sandwich option is a great opportunity to understand the way that the industry functions and to gain an appreciation of the commercial environment. You’ll spend a year in the workplace, honing your skills and enacting what you've learnt in real-world systems. Regular online contact with tutors, peer-contact and placement support will be maintained throughout the year.

Access to industry-standard tools and software

You will get experience using industry-standard tools and software as part of your studies which will be invaluable on your CV. These include:

Python - Jupyter Notebook
R
Tableau Desktop
Microsoft Power BI
Microsoft Excel
Google Collab
Microsoft SQL Server
NetBeans with JDK
Oracle
SAS
Visual Paradigm.

You will have remote access to most software via AppsAnywhere. We also have a cyber security lab, which is used for specialised modules and several printers, including large format printers.

Professional links

We have worked with a number of commercial organisations on a consultative basis, and this has enhanced the development of this undergraduate programme. Examples include:

Amazon Web Services (IS software development and IT infrastructure). We have consulted with AWS on Data Engineering and Cloud/Security Technologies and on various aspects of IS software development and IT infrastructure. We have a number of new modules that can benefit directly from the support of a state-of-the-art virtualised environment. Our team have spent a considerable amount of time discussing our new course plans with experts from the AWS team to ensure our proposed curriculum aligns with expected industry standards and best practice.

Taylor and Francis Group (IT Publishing Industry). We have collaborated in projects in the area of web development and security, including various aspects of software development and IT infrastructure. They have supplied guest speakers providing contemporary/specialist advice in the area of software project management for IT based projects. For this course we’ve shared our course plans with them and discussed ways to potentially enhance the content and delivery.