Course overview
Few technological advancements have captured the public imagination quite like artificial intelligence. If you’re interested in a career in this exciting and rapidly growing field, then our MSc Artificial Intelligence programme can give you the theoretical and practical skills needed to start working with AI and machine learning in real-world situations.
Flexible online learning lets you complete this degree to your schedule, while our cutting-edge platform and expert support mean that you’ll get all the help and guidance you need to be successful in your studies. Join us to connect with a community of leading academics, experts and fellow students worldwide, and achieve your career aspirations in artificial intelligence.
This program is subject to validation*
Job outcomes
- Deep learning engineer
- AI research scientist
- Self-driving vehicle engineer
Study method
- Online
- Blended
- In-class
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Duration study load
- 12 months (full-time), 18 months (part-time option 1) and 24 months (part-time option 2)
Entry requirements
- 2:2 honours degree and above or equivalent – from a recognised institution.
- English language: IELTS Level 6.5 or above with no element below 6 (or equivalent).
Course features
- Flexible online learning: Fit learning around your life but study in a structured way, using a flexible online approach with full support from your lecturers and tutors. Learn part-time or full-time – at your own pace, fully online, anywhere.
- Over 140 years of expertise: Upgrade your expertise with the skills of the future. To help you succeed and progress your career, we’re combining our long history of education in finance, business, and technology with an up-to-the-minute online learning platform.
- Innovative personalised learning: Learn on your own terms. Gain the skills you need to reach your full potential and achieve your ambitions. You’ll have support, as well as access to advanced digital learning tools and practical real-life expertise.
- Rewarding your ambition: Distance learning is an affordable, tailored option that fits your lifestyle. Fees for our online degree are spread over the length of your chosen programme, making it easier for you to manage your finances.
Testimonials
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Tazneem K"I started studying with LIBF a couple of months ago and it has been a pleasant surprise of how flexible and stress free the course is! Being a busy person with many commitments the course has fitted into my lifestyle amazingly. The platform is straightforward and easy to navigate with several learning materials. Also, the support received from LIBF is fantastic and would recommend to everyone. Thank you LIBF!"
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Phanas N"As a parent juggling a multitude of responsibilities, finding time for my own personal development was challenging. LIBF's online degrees were exactly what I was looking for, giving me the flexibility to learn in the evenings at a time that works for me. It's also teaching me how to manage distractions! LIBF has a great reputation too, which is what made it my first choice."
Who's it for?
Artificial Intelligence (AI) is a rapidly growing field that has become increasingly important for modern technology. Pursuing an undergraduate degree in BSc Data Science or BSc Computer Science can provide students with the fundamental knowledge and skills to excel in this field and prepare them for a career as a data scientist or AI specialist. Additionally, our MSc Artificial Intelligence is an advanced study programme that’s ideally suited to those looking to further their education and specialise in this exciting field. With coursework focused on machine learning, natural language processing, and mathematics, this online Master’s in artificial intelligence provides students with comprehensive knowledge of AI concepts and tools, making them well-prepared for a career in the field.
What skills are needed to study artificial intelligence?
Having a background or interest in mathematics, computer science fundamentals, statistics, or machine learning can be advantageous for those interested in studying Artificial Intelligence.
Subjects
By enrolling in our MSc Artificial Intelligence postgraduate programme, you’ll become a master of AI, gaining the skills and knowledge necessary to develop innovative solutions to complex problems. Our comprehensive curriculum prepares you for a thriving career in this rapidly expanding field, with modules covering machine learning, natural language processing, and deep learning. With our programme, you’ll explore cutting-edge AI technologies and applications, developing the expertise necessary to excel in one of the most dynamic and fastest-growing industries in the world.
- Programming with Python
One of the most versatile scripting languages, Python is widely used in web development to scientific computing. Develop your knowledge of Python, including uncovering its key features and applications. - Advanced Mathematics
Did you know that modern techniques used to analyse data and make predictions for the future are rooted in advanced mathematics? You’ll explore concepts behind advanced algorithms used to process data. As well as growing your knowledge of vector algebra, vector calculus and information theory. - Advanced Statistics
Nearly all processes in nature, including most technical and scientific scenarios, are not deterministic but stochastic. This means the processes are described in terms of probabilities. Learning the concepts of statistics, you’ll be able to apply your new knowledge to various application situations. - Machine learning
Machine learning is a scientific field that teaches machines to perform tasks by finding patterns in data. Explore how you can combine statistics and computing power, as well as a variety of approaches and methods, to achieve this. - Deep learning
Neural networks and deep learning approaches have revolutionised the field of artificial intelligence in recent years. Applications built on these techniques have even surpassed human performance. Discover common neural network architectures and methods to train AI in a range of application scenarios. - Reinforcement learning
Reinforcement learning is a way for computers to absorb problem-solving strategies without explicit programming. From Markov chains to single- and multi-armed bandits, Q-learning to reinforcement learning approaches, you’ll evaluate the trade-off between exploitation and exploration. - Inference and causality
Examine statistical inference. Understand causal analysis. Analyse interventions. Follow the rules of do-calculus. And evaluate common fallacies. Explore the crucial tools of inference and causality to work with data at a fundamental level. - Elective (see Electives section below)
- Master thesis
With the guidance of a supervisor, prepare a written dissertation focused on a major field of study. Scientifically evaluate and critically discuss a chosen issue and suggest possible solutions.
- Natural language processing
Explore the techniques, challenges, and solutions of basic and advanced natural language processing (NLP). Using theory and practical examples, you’ll find out how NLP can be used successfully in different case scenarios. - Image processing and low-level vision
Computer vision is a subfield of artificial intelligence. It enables computers to understand images and videos to perform advanced visual tasks. To discover more, you’ll dive into image acquisition, image geometry, image representation and morphology, filtering and texture representation. - Concepts of FinTechs and Artificial Intelligence
There has been a huge advancement in technology during the last two decades, causing a revolution in the financial services industry. Discover the acceleration of FinTech and AI in banking and finance and discuss issues around regulatory reforms, data protection, ethics, cryptocurrency and innovation challenges. - AI in healthcare
Blockchain in healthcare. Drug discovery. Fraud detection. Artificial intelligence has the potential to transform the way healthcare operates. Explore AI in healthcare to analyse and evaluate the impact of data-driven methods in application. - AI in production
AI is revolutionising production: transforming it with new processes and strategic decision-making. Discover how production is successfully embracing AI in design, quality, supply chain, and autonomous planning and scheduling, to make the most of the future. - Concepts of artificial intelligence in supply chain management
The COVID-19 pandemic really exposed the vulnerability of global supply chains, impacting production and causing shortages. Explore how artificial intelligence can enhance resilience, effectiveness and efficiency in the supply chain – as well as the challenges in its application. - Introduction to AI in e-commerce and marketing
Uncover the ways artificial intelligence has been historically used in e-commerce and marketing, and how this looks today. You’ll investigate case studies to find out how virtual assistants and visual search are being used. As well as how AI helps to optimise pricing. - Architectures of self-driving vehicles
Delve into the architectural aspects of self-driving cars: from hardware and software platforms to sensor and motion control solutions for braking and steering. You’ll also discuss the ways a self-driving car exchanges information with the outside world, including the ethical and safety considerations. - Internship (*)
This is your opportunity to put knowledge into action as you learn to work within an organisation. Apply your intellectual and social skills, in return gaining an insight into organisational structures and improving your future employability. - * Check eligibility before booking the module.
Once enrolled, you will be expected to meet LIBF’s policies and standards.
About LIBF
We are LIBF – a professional body that has been providing industry-leading education for more than 140 years.
Throughout our history, we’ve been helping people build successful careers in business, finance and technology – working to make the industry accessible to all.
Our focus is on life-long learning. We equip our students with real-world skills and globally recognised qualifications that allow them to achieve their career ambitions. This emphasis on practical skills means our students can quickly apply the knowledge gained in our courses in their working lives.
Our engaging webinars offer a unique opportunity to delve into the distinct benefits of online learning with us, crafted to ignite your ambitions.
Why join a webinar?
- Obtain a thorough understanding of our online learning methodology directly from our Study Advisors.
- Receive a step-by-step guide on the application process, funding options, entry requirements, and more.
- Get instant answers and personalized advice from our Study Advisors to navigate your online learning pathway.
Register for a webinar that fits your schedule. Let’s begin this educational journey together, unlocking your potential and beyond. All webinars are conducted on Zoom and commence at 6.00 pm UK time.
The LIBF faculty itself is comprised of business, banking, finance and technology experts with extensive experience in the industry. We embrace innovation in education and our courses are flexible and delivered through a variety of media, to provide a rich learning experience.
