Master of Science Artificial Intelligence

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Duration:

12 months (Full-time/ Part- time)

Award by:

London Metropolitan University, UK

Brand statement

London Metropolitan University’s mission is to transform lives through the power of education – and it does that by welcoming students from all kinds of backgrounds and supporting them to achieve success. Each and every one of them belongs there and uniquely contributes to the university and the city around them. They are The Real London. This is The Real London.

Overview:
Based in one of the world’s most exciting capital cities, London Metropolitan University is home to an inclusive community of inspiring and determined learners, teachers and innovative thinkers.

The University’s mission is to transform lives through the power of education – and it does that by welcoming students from all kinds of backgrounds and supporting them to achieve success. Each and every one of them belongs there and uniquely contributes to the university and the city around them. They are The Real London. This is The Real London.

London Met’s campuses are based in central London and offer students the excitement of the capital at their fingertips. London is an exciting international city with something for everyone. Whatever their course, students find inspiration in London’s wealth of culture, industries, innovation and heritage.

High-quality teaching is at the heart of the experience offered to students at London Met and the university is ranked ninth in the UK for teaching quality by The Times and Sunday Times Good University Guide 2024, as well as 10th for student experience.

Working with partners
London Met works closely with a number of collaborative partners both in the UK and overseas to deliver courses that lead to a university award. These relationships give the University the opportunity to enhance its academic offering and provide the best possible learning experience to a wider audience.

Working with Stanfort Academy: Franchised Agreement
London Metropolitan University (London Met) authorises and approves Stanfort Academy to deliver and assess part or all of the course. This course is also taught and assessed at London Met’s main campus in London, United Kingdom. London Met holds direct responsibility for quality assurance, curriculum content, and the teaching, learning and assessment strategy.

The collaborative partner page

PROGRAMME AIM

(Awarded by London Metropolitan University, UK)

    The MSc Artificial Intelligence equips students with the knowledge and practical skills to develop and implement intelligent systems across diverse industries. The course covers AI and Machine Learning, IoT, Cloud Computing, and Cyber Security, providing hands-on experience with tools like Arduino, Raspberry Pi, and cloud platforms. Students learn to design, deploy, and manage AI solutions for real-world applications.

PROGRAMME OBJECTIVES

  • Provide solid theoretical foundation for understanding the current state of art in AI research and technologies to students with traditionally technological preparation from their undergraduate study.
  • Focus on industrial sectors where exist wider market opportunities, like fintech industry, eCommerce, mental and physical healthcare, Internet service provision, business process automation and autonomous systems.
  • Prepare the students to work in technological areas with particularly high demand for employing AI methods, such as Big Data, Cloud, Internet of Things and Cyber Security.
  • Achieve high degree of blending of different styles of learning by combine multiple forms of learning and teaching with particular stress on agile methodology for software development through adopting DevOps methodology and utilizing public domain repositories and tools directly in the teaching process.
  • Bring to the attention of the students social, ethical, and legal problems related to AI which may affect their future professional practice, like privacy, security, and intellectual property rights.

Module

  1. CS7002SR – AI Vision and Deep Learning
    The module is designed to impart essential mathematical principles and concepts of computer vision alongside its practical applications. The module encompasses core topics in image formation and low-level image processing; mid-level scene representation; model-based description and tracking. Appropriate hardware/software tools will be integrated into the module to enable students to apply and test computer vision algorithms including deep learning on real world data sets.
  2. CS7003SR – Advanced AI Technologies
    This module explores the evolution of Artificial Intelligence, covering its key areas, including state-space problem solving, decision making, automated reasoning, knowledge-based planning, and machine learning. Students gain an understanding of AI paradigms, models, and technologies, with opportunities to investigate and apply the approaches that interest them most.
  3. CS7050SR – Artificial Intelligence
    This module provides an introduction to the core principles, methods, and techniques of Artificial Intelligence, covering topics such as search, planning, logic, knowledge representation, and inference. Students explore intelligent systems and learn to develop applications like expert systems, natural language systems, and autonomous robots. Practical workshops complement lectures to build hands-on skills in designing and implementing AI solutions.
  4. CS7052SR – Machine Learning
    This module introduces the fundamentals of Machine Learning as a branch of AI, focusing on how data and algorithms are used to mimic human learning. Students gain practical skills in Python and related tools to build machine learning solutions for real-world applications such as customer profiling, product recommendations, market trend analysis, cybersecurity, and financial forecasting.
  5. CS7079SR – Data Warehousing and Big Data
    This module develops skills in data technologies, from databases and data warehousing to Big Data. Students gain a solid understanding of database concepts, management systems, and enterprise-level development, followed by data warehousing principles and practices. Hands-on sessions with tools such as SQL Server Management Studio (SSMS) and Azure Data Studio provide practical experience in reporting solutions.
  6. CS7080SR – Cloud Computing and Internet of Things
    This module provides an in-depth understanding of the Internet of Things (IoT) and Cloud Computing, focusing on system architecture, Autonomous Intelligent Systems (AIS), key wireless/mobile/sensor technologies, and issues of privacy and trust. Students will gain hands-on experience in building IoT infrastructures that connect to Cloud services while further developing their Python programming skills.
  7. CS7P01SR – MSc Project
    The module provides students with the experience of planning and bringing to fruition a major piece of individual work. Also, the module aims to encourage and reward individual inventiveness and application of effort through working on research or company/local government projects. The project is an exercise that may take a variety of forms depending on the nature of the project and the subject area.

Entry requirements

Minimum Age 20 Years
Academic qualification The applicant will be required to have one of the following:

  • A minimum of a 2:2 Honours degree from a UK or recognised international university or another equivalent international qualification in computer or data science, software or network engineering, computing or ICT, cyber security;

    • (OR)

  • A minimum of a 2:2 Honours degree from a UK or recognised international university or another equivalent international qualification that requires mathematics and computing skills, including mathematics, physics, chemistry, economics, business or finance;

    • (OR)

  • Post-Graduate Diploma in in related discipline;

    • (OR)

  • Non-standard applicants with relevant professional certificates with minimum 5 years of related working experience will also be considered case by case basis by the University. Programming skills with one of the languages such as Java or Python is strongly recommended.
Language proficiency requirement Any of the following:

  • English Language at GCE O-level at grade C or above; (OR)
  • IELTS score of 6.0 with no component lower than 5.5 (or equivalent); (OR)
  • Pearson Test of English Academic with a minimum score of 59 in each element (only in-person Pearson Test of English (PTE) is accepted, not the online version); (OR)
  • Cambridge Certification in Advanced English (CAE) with Grade C or above; (OR)
  • Completed Stanfort Academy Certificate in English for Foreign Students (Advanced Level); (OR)
  • Obtained at least 80% for Stanfort Academy English Proficiency Test

Assessment:

London Metropolitan University (London Met) authorises and approves Stanfort Academy to deliver and assess part or all of the course. This course is also taught and assessed at London Met’s main campus in London, United Kingdom. London Met holds direct responsibility for quality assurance, curriculum content, and the teaching, learning and assessment strategy.

  • Group Assignment, Individual Report, Business Research Report, Individual blog, Group presentation, Individual investigation report, Portfolio

Marking and grades:

Each component of assessed work is assigned a percentage mark with a pass/fail threshold at 50%. Overall average mark obtained for all modules and the dissertation, with classification thresholds for each grade of award as follows:

  • 70% and above: Distinction
  • 60% – 69%: Merit
  • 50% – 59%: Pass
  • 0% – 49%: Fail

AWARD TITLES:

At postgraduate level degrees are awarded according to the overall average mark obtained for all modules and the dissertation, with classification thresholds for each grade of award as follows:
• 70% and above Masters degree with Distinction
• 60% – 69.99% Masters degree with Merit
• 50% – 59.99% Masters degree
• 0% – 49.99% Fail
At the end of each semester, module results and awards are confirmed by Assessment Boards (Subject Standards Boards and Awards Boards). Assessment Boards uphold the academic standards of your course and ensure that each student is treated fairly and equally through the assessment process.