MSc Applied Artificial Intelligence

Southwark Campus

Mode: Full-time

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Contact information

Course Enquiries - UK

Tel: 0207 815 7500

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Overview

This postgraduate Masters course is uniquely designed for both graduates without prior higher education wishing to pursue a career in artificial Intelligence.

Key course information - ordered by mode
Mode Duration Start date Location
Mode
Full-time
Duration
2 years
Start Date
January
Location
Southwark Campus
Mode
Full-time
Duration
1 year
Start Date
September
Location
Southwark Campus
Mode
Part-time
Duration
2 years
Start Date
September
Location
Southwark Campus

Modules

  • Foundations of calculus, statistics, and optimization
    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.
  • Python programming for AI and Visualization
    This module provides an intensive introduction to programming, especially for students without a computer science background.
    The module will cover the basics of program development in Python, with specific attention to its use in visualizing and exploring data, and in translating mathematical problems and models into a computational solution.
  • Machine Learning
    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.
  • Deep Learning
    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
    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.
  • Natural Language Processing
    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.
  • Computer Vision and Pattern Recognitio
    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
    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
    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.
  • Data Mining and Analysis
    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.
  • Robotics
    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.
  • Ethics in AI and Seminars
    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.
  • Research Methods
    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%.
  • Dissertation
    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.

All modules are assessed by a mix of coursework and examinations.

Employability

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.

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.

Placements

You are encouraged to actively seek placements, work experience and voluntary work during your studies to improve your CV and to give you the opportunity to put theory into practice. Many opportunities are offered through the University's central Employability team, who can support you in finding a placement.

Teaching and learning

Entry 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.

Course status

  • Accreditation and Course validation status

    This course is validated by London South Bank University. Applications are being accepted.

How to apply

Home/EU applicants

Mode Duration Start date Application code Application method
Mode
Full-time
Duration
2 years
Start date
January
Application code
5795
Application method
Mode
Full-time
Duration
1 year
Start date
September
Application code
5794
Application method
Mode
Part-time
Duration
2 years
Start date
September
Application code
5796
Application method

Postgraduate students and research students should apply through our dedicated application system. Full details of how to do this are supplied on our How to apply section for postgraduate students and our How to apply section for research students.

See our admissions policy (PDF File 1,043 KB) and complaints policy (PDF File 516 KB).

Accommodation

Students should apply for accommodation at London South Bank University (LSBU) as soon as possible, once we have made an offer of a place on one of our academic courses. Read more about applying for accommodation at LSBU.

Finance

It's a good idea to think about how you'll pay university tuition and maintenance costs while you're still applying for a place to study. Remember – 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 a postgraduate student.

Postgraduate Application Service

Book a session with one of our specialist Postgraduate Advisors. Over a one on one Advice Session they'll advise you on postgraduate degrees at LSBU that match your interests and experience.

Home/EU postgraduate students and research students should apply through our dedicated application system.

Full details of how to do this are supplied on our How to apply section for postgraduate students and our How to apply section for research students.

International applicants should use our international application system. Full details can be found on our How to apply section for international students.

See our admissions policy (PDF File 1,043 KB) and complaints policy (PDF File 516 KB).

Considering your application

Your application will be circulated to a number of potential supervisors who will look at your academic qualifications, experience and the research proposal to decide whether your research interest is something that could be supervised at LSBU.

There will also be an interview either by telephone or at the University. If you are successful you will be offered a place on a course and informed of the next enrolment date. The whole process normally takes between six to eight weeks, from receipt of your application to a decision being made about your application at the School.

Prepare to start

We help our students prepare for university even before the semester starts. To find out when you should apply for your LSBU accommodation or student finance read the How to apply tab for this course.

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.

Prepare to start

We help our students prepare for university even before the semester starts. To find out when you should apply for your LSBU accommodation or student finance read the How to apply tab for this course.

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 and funding

Fees are shown for new entrants to courses, for each individual year of a course, together with the total fee for all the years of a course. Continuing LSBU students should refer to the Finance section of our student portal, MyLSBU. Queries regarding fees should be directed to the Fees and Bursaries Team on: +44 (0)20 7815 6181.

Full-time

Part-time

MSc Applied Artificial Intelligence (FT) (JAN) - Year 1 FT Southwark JAN

The fee shown is for entry 2022/23
UK fee: £6786.66International fee: £9933.33
AOS/LSBU code: 5795Session code: 1FS00
Total course fee:
UK £10180
International £15066.67

MSc Applied Artificial Intelligence (FT) - Year 1 FT Southwark SEPT

The fee shown is for entry 2022/23
UK fee: £10180International fee: £15400
AOS/LSBU code: 5794Session code: 1FS00

MSc Applied Artificial Intelligence (PT) - Year 1 PT Southwark SEPT

The fee shown is for entry 2022/23
UK fee: £4524.44International fee: £6844.44
AOS/LSBU code: 5796Session code: 1PS00
Total course fee:
UK £10180
International £15400

For more information, including how and when to pay, see our fees and funding section for postgraduate students.

See our Tuition Fees Regulations (PDF File 391 KB) and Refund Policy (PDF File 775 KB).

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 in line with the RPIX measure of inflation up to 4 per cent.

Postgraduate loan (PGL) for Masters study

If you are starting a Masters course, studying either full- or part-time, you may be entitled to apply for a postgraduate study loan. Find out more at our postgraduate fees and funding section.

Scholarships

We offer several types of fee reduction through our scholarships and bursaries. Find the full list and other useful information on funding your studies on the scholarships and fee discounts page.

Fee status

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 reading the UKCISA regulations.

The individual fee for this course is shown above. For more information, including how and when to pay, see our fees and funding section for postgraduate students.

See our Tuition Fees Regulations (PDF File 391 KB) and Refund Policy (PDF File 775 KB).

We have a range of PhD Scholarships available in partnership with businesses and organisations; read notices of PhD studentships.

Contact information

Course Enquiries - UK

Tel: 0207 815 7500

Order a prospectus

Live Chat

Any questions? Use the green bubble on the bottom right hand corner to start a live chat with us

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