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Develop the expertise industry needs, with focus areas like smart manufacturing, Industry 4.0, computer vision, and natural language processing.
Designed for both computing and non-computing graduates, enabling you to solve practical problems using AI and machine learning.
Gain practical experience using Python, deep learning, and OpenCV, with access to advanced labs, expert seminars, and work placement opportunities.
Overview
Your gateway to the world’s most in-demand tech skills
Artificial Intelligence is becoming increasingly common in the modern world and there is a constant and sustained need for professionals who have the expertise and training needed to understand AI technologies and to use them responsibly. Additionally, from a societal perspective, it is crucial that citizens of the future have a basic understanding of AI concepts so that they can engage both effectively and critically with AI systems which are becoming a constant presence in our daily lives.
To meet the growing need for AI, experts and AI-educated professionals this MSc in Applied Artificial Intelligence aims to convert graduates into AI specialists who are able to meet the demands of industry and society in AI, with particular emphasis on crucial areas such as smart manufacturing and industry 4.0, natural language processing and computer vision.
The course is uniquely designed for both graduates or practitioners from a computing and non-computing background, wishing to pursue a career in the development of machine learning and artificial intelligence solutions to practical problems and addresses the latest developments in machine learning and artificial intelligence through a rich series of seminars from experts in the field.
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.
Course Content
This module will cover the fundamental concepts and techniques from linear algebra, differential calculus and probability.
The acquired tools will help the student to understand how AI is built and enable them to tailor standard methods to specific problems they will be facing and to interpret the results obtained through data analysis.
This module offers a comprehensive introduction to programming, focusing on Python for students with varying backgrounds. Beginning with fundamental programming concepts, the course progresses to explore data visualisation techniques and key libraries. Emphasis is placed on hands-on learning, enabling students to develop practical skills in data exploration and analysis. By the end of the course, students gain proficiency in programming, data visualisation, and problem-solving, preparing them to apply these skills across diverse fields and disciplines. Assessment method: 100% coursework.
The module introduces you to the basic theory, concepts, and techniques of machine learning using Python. It will cover the main topics and essential theory in the area. The module also focuses on developing practical skills in designing and developing machine learning systems using suitable software and algorithms in order to solve real-world problems.
The module introduces neural networks and deep learning, one of the key topics in modern applied AI.
The module will provide the student with an in-depth understanding of all the components of neural networks, from the different computational building blocks to the functions to be optimized and finally to the different optimization strategies.
The module will present how neural networks can be trained and validated to learn from data to solve specific tasks, and how they evolved into deep neural networks, convolutional neural networks and graph networks, presenting their major architecture concepts.
Industrial Cyber-Physical Systems (ICPS) are real-world networked industrial production systems having a cyber-representation through the digitalisation of data and information across the enterprise and value chain. This module offers a comprehensive overview of ICPS and outlines the challenges related to the fourth industrial revolution commonly referred to as Industry 4.0. The module consists of two parts. The first part will introduce the theoretical framework and supporting technologies of the fourth industrial revolution (e.g., industrial internet-of-things, digital twins, etc.). The second part focuses on system design and implementation aspects of ICPS along with multiple tutoring sessions.
The module covers theoretical and practical aspects of Natural Language Processing to design, develop and implement Collaborative and Cognitive Communication Systems for robotics while linking AI and NLP to human psychology patterns and applying it to Chabot’s, digital assistants and context-aware personalized interfaces. The lecture sessions will deliver state-of-the-art theories, models and algorithms covering neural Language models, speech tagging, Vector Semantics and Embedding, information extraction and sentimental analysis. The lab sessions will deliver hands-on practical sessions using Chabot frameworks, Python NLP libraries and tool kits for NLP.
The pervasive nature of visual tasks in everyday life, and the amount of imaging information accrued by mobile, wearable and classical devices, calls more and more for sophisticated tools able to relieve the burden of image scanning and screening from human users. Additionally, many task can benefit from image-guided augmented reality scenarios (e.g. surgery), or can be automated through visual-guidance (robotics). The module covers the theoretical and practical aspects of image processing and analysis, image understanding and computer vision: after introducing the basics principles and concepts of image formation and image representation, it will present the fundamentals of image processing. It then will dive in modern approaches to the processing of images and videos: object detection, object recognition, scene understanding using machine learning and artificial intelligence.
Future Internet technologies comprise set of enablers to deal with the limitation of the existing Internet. This includes but not limited All-IP Networking Architectures, the evolution towards 4G+/5G networking architectures, open-based networking technologies, Cloud Computing challenges and IoT technologies and its interworking with 4G+/5G networks. The module will provide both theoretical knowledge and practical exposure to the students.
Data Management and Data Quality are increasingly at the heart of every commercial and research enterprise, as the value of data increases along with the need for adaptive security. This module will give you a critical and evaluative knowledge of the theory, practice and research of software engineering techniques for Data Management amid today’s complex and changing business/commercial/research environments.
The module introduces you to the basic theory, concepts, and techniques of data mining, and its role in data science and business intelligence. It will cover the main topics in the area. The module also focuses on developing practical skills in solving real-world data mining problems by using appropriate software suites. Base SAS®, SAS® Enterprise Miner, SAS® Enterprise Guide and Tableau® may be taught and used for this purpose.
The module introduces students to the basic elements and principles of robotics. Essential geometric concepts of rigid-body displacements will be introduced and applied to the kinematic analysis of different machines. Differential kinematics will be developed and applied to study the statics and dynamics of robots. Some problems concerned with the control of these machines will be considered.
Laboratory exercises are designed to consolidate understanding of robot kinematics and programming as well as giving an appreciation of practical considerations.
The module will provide students with the critical skills, knowledge and analytical abilities needed to identify and address ethical challenges as they arise in practice from the application of AI. The module will engage with the ethical and societal challenges of AI and is thoroughly informed by the knowledge, theories and methods of established academic disciplines from philosophy to computer science.
Industrial seminars on AI applications will complement the content of the module, exposing the students to the challenges of developing an AI application, considering the short- and long-ranging societal fallout.
The module provides students with the ability to discuss, evaluate and use a variety of research methods and techniques for their chosen subject area of Computer Science and Informatics and to develop a professional and ethical approach to carrying out research-based projects. It also equips students with entrepreneurial and innovation skills increasingly sought by industry and employers.
NOTE: You will be required to pass the module before progressing to the Dissertation stage of your studies. In order to pass this module, students must obtain a weighted average grade of at least 50%.
The module requires students to undertake an independent piece of research/development work, investigating in depth a subject, in which they have a particular interest and of their own selection. The dissertation assesses students’ ability to integrate information from various sources, to conduct an in-depth investigation, where necessary specify, appropriately develop bespoke software/technology-based solutions, to critically analyse results and information obtained and to propose improvements/further work. Each student will submit a dissertation of between 12,000-15,000 words.
The module requires students to undertake an independent piece of research/development work, investigating in depth a subject, in which they have a particular interest and of their own selection. The dissertation assesses students’ ability to integrate information from various sources, to conduct an in-depth investigation, where necessary specify, appropriately develop bespoke software/technology-based solutions, to critically analyse results and information obtained and to propose improvements/further work. Each student will submit a dissertation of between 12,000-15,000 words.
Careers
What’s in it for me?
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.
Career opportunities range from IT services to business consultancy, and this course will prepare you for a career in the business intelligence community working actively with a range of resources including tools from major commercial vendors such as Microsoft and SAS.
As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.
LSBU CareerSmart is your ultimate gateway to career success. Our innovative programme is designed to ensure you graduate with more than just a degree, providing the support you need to stand out in a competitive job market. We've got all the tools you need, including:
- AI Powered Career Sets - Get instant personalised feedback on your CV and cover letter by submitting it via our AI powered career tool.
- Gamification Interviews - Get ready to pass those interviews with unlimited training access to our gamification interviews and psychometric tests!
- Personalised Career Development Dashboard - Keep up with your skills progression with free access to practical assessments, LinkedIn learning, mentoring, and industry-standard facilities.
We understand that you’re in the driver’s seat of your career, which is why we’re committed to matching your passion and energy every step of the way.
Entry Level Requirements
- 2:2 UK honours first degree or international equivalent in any subject
- A GCSE Grade 4 in Mathematics or equivalent
- A GCSE Grade 4 in English or equivalent
- We recognise that many people have a wealth of valuable skills and knowledge they've developed at work or through training. If candidates have the potential to succeed in postgraduate or post-experience studies we'll consider their application on its individual merit. Applications may be considered where candidates demonstrate a combination of educational qualifications and work experience.
- We welcome qualifications from around the world. English language qualifications for international students: IELTS score of 6.5.
- After admission, prospective students can apply for the accreditation of prior experiential learning (APEL), following the approved School of Engineering procedure.
Choose your country
- Afghanistan
- Albania
- Algeria
- Angola
- Argentina
- Australia
- Austria
- Azerbaijan
- Bahrain
- Bangladesh
- Barbados
- Belgium
- Botswana
- Brazil
- British Council Women in STEM Scholarships
- Bulgaria
- Cambodia
- Cameroon
- Canada
- Chile
- China
- Colombia
- Croatia
- Cyprus
- Czech Republic
- Denmark
- Dominican Republic
- Egypt
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Georgia
- Germany
- Ghana
- Greece
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- India
- Indonesia
- Iran
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- Ireland
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- Jamaica
- Japan
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- Kazakhstan
- Kenya
- Kuwait
- Latvia
- Lebanon
- Libya
- Lithuania
- Luxembourg
- Malaysia
- Malta
- Mauritius
- Mexico
- Mongolia
- Morocco
- Myanmar
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- Netherlands
- New Zealand
- Nigeria
- Norway
- Oman
- Pakistan
- Poland
- Portugal
- Qatar
- Romania
- Russian Federation
- Saudi Arabia
- Senegal
- Serbia
- Sierra Leone
- Singapore
- Slovakia
- Slovenia
- Somalia
- South Africa
- South Korea
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Thailand
- Trinidad and Tobago
- Tunisia
- Turkiye
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- United Arab Emirates
- United States of America
- Uzbekistan
- Venezuela
- Vietnam
- Zambia
- Zimbabwe
Apply
Course delivery modes and application methods
| Mode | Duration | Start date | Application code | Application method |
|---|---|---|---|---|
| Full-time | 1.5 years | January | 5795 | Direct to LSBU |
| Full-time | 1 year | September | 5794 | Direct to LSBU |
| Part-time | 2 years | September | 5796 | Direct to LSBU |
| Full-time | 2 years (with placement) | September | 6043 | Direct to LSBU |
| Full-time | 2.5 years (with placement) | January | 6044 | Direct to LSBU |
| Full-time | 1 year | May | 6164 | Direct to LSBU |
| Full-time | 2 years (with placement) | May | 6178 | Direct to LSBU |
International (non Home) applicants should follow our international how to apply guide.
How to apply
Read more about how to apply for undergraduate courses.
International students
International applicants can apply directly to LSBU and should consult our international how to apply guide for further information on the application process and key dates.
Accommodation
Read more about applying for accommodation at LSBU.
Prepare to start
Applicant events
After you’ve received your offer we’ll send you emails about events we run to help you prepare for your course. You’ll also be invited to our Applicant Taster Day so keep your eyes peeled!
Enrolment
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.
Fees
United Kingdom
£14040
Tuition fees for home students
International
£20160
Tuition fees for international students
Tuition fees are subject to annual inflationary increases. Find out more about tuition fees for Undergraduate or Postgraduate courses.
full-time
Full-time Year 1 - All Available Courses
MSc Applied Artificial Intelligence (FT) - Year 1 FT Southwark SEPT
| UK fee: £12780 | International fee: £18900 |
| AOS/LSBU code: 5794 | Session code: 1FS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £12780 |
| International: £18900 |
MSc Applied Artificial Intelligence (FT) (JAN) - Year 1 FT Southwark JAN
| UK fee: £12780 | International fee: £18900 |
| AOS/LSBU code: 5795 | Session code: 1FS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £12780 |
| International: £18900 |
MSc Applied Artificial Intelligence (with placement)(SEPT)(FT) - Year 1 FT Southwark SEPT
| UK fee: £14040 | International fee: £20160 |
| AOS/LSBU code: 6043 | Session code: 1FS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £14040 |
| International: £20160 |
MSc Applied Artificial Intelligence (with placement)(JAN)(FT) - Year 1 FT Southwark JAN
| UK fee: £14040 | International fee: £20160 |
| AOS/LSBU code: 6044 | Session code: 1FS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £14040 |
| International: £20160 |
MSc Applied Artificial Intelligence (FT) (MAY) - Year 1 FT Southwark MAY
| UK fee: £12780 | International fee: £18900 |
| AOS/LSBU code: 6164 | Session code: 1FS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £12780 |
| International: £18900 |
MSc Applied Artificial Intelligence (with placement)(MAY)(FT) - Year 1 FT Southwark MAY
| UK fee: £12780 | International fee: £18900 |
| AOS/LSBU code: 6178 | Session code: 1FS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £12780 |
| International: £18900 |
part-time
Part-time Year 1 - All Available Courses
MSc Applied Artificial Intelligence (PT) - Year 1 PT Southwark SEPT
| UK fee: £5680 | International fee: £8400 |
| AOS/LSBU code: 5796 | Session code: 1PS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £12780 |
| International: £18900 |
Part-time Year 2 - All Available Courses
MSc Applied Artificial Intelligence (PT) - Year 2 PT Southwark SEPT
| UK fee: £7100 | International fee: £10500 |
| AOS/LSBU code: 5796 | Session code: 2PS00 |
|
Total course fee for this location/stream: * The full amount is subject to fee increases, the total shown below is based on current fees. |
| UK: £12780 |
| International: £18900 |
For more information, including how and when to pay, see our fees and funding section for undergraduate students.
Please check your fee status and whether you are considered a Home, EU or International student for fee-paying purposes and for our regulatory returns, by checking at the the UK Council for International Student Affairs (UKCISA) find your fee status page.
Visit our Policies and procedures page for details on fees policies.
Possible fee changes
The University reserves the right to increase its fees in line with changes to legislation, regulation and any government guidance or decisions.
The fees for international students are reviewed annually and the University reserves the right to increase the tuition fees to reflect increased costs of delivery and to maintain an a high-quality student experience. This increase would be no more than Consumer Prices Index (CPI) increases plus 5%.
Scholarships
We offer several types of fee reduction through our scholarships and bursaries. Find the full list and other useful information on our scholarships page.
