Online degree MSc Artificial Intelligence

• 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.

• Advanced research methods
  Master the art of empirical research with a focus on business contexts. Learn to develop comprehensive research proposals, handle various data collection strategies, and analyse both quantitative and qualitative data efficiently.

• 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 casual 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. 

• Self-arranged internship (*)

  Gain practical experience by securing and completing an internship, applying your knowledge in a real-world setting and developing hands-on skills in artificial intelligence.

*You'll be responsible for arranging a suitable internship for your field of study. Once arranged, please complete an application to the internship module via myCampus, to make sure your internship can be recognised and credited towards your course requirements.

You can find more details about your MSc Artificial Intelligence course in these PDF files:

• Online programme schedule: MSc Artificial Intelligence

• Programme specification: MSc Artificial Intelligence

• Once enrolled, you will be expected to meet LIBF's policies and standards.

• LIBF has Taught Degree Awarding Powers (TDAP).

Artificial Intelligence (AI) is a rapidly growing field that has become increasingly important for modern technology. Pursuing an undergraduate degree in BSc Data Science online or BSc (Hons) 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.

At LIBF, we understand that completing an MSc in artificial intelligence can be challenging. That's why we provide a variety of support for students. Our study advisors offer guidance, while our resources and peer interactions help make the journey more manageable. Together, we will give you all the support and guidance you need to be successful in this exciting field.

Our programme equips you with advanced knowledge and skills that are highly sought after in today's tech-driven world. With the growing demand for AI professionals and the potential for exciting career opportunities, investing in an MSc in artificial intelligence can open doors to a rewarding and impactful future.

Having a background or interest in mathematics, computer science fundamentals, statistics, or machine learning can be advantageous for those interested in studying Artificial Intelligence.

For information about the specific modules required for our artificial intelligence programme, please refer to the "course details" section on this page.

You'll study in a virtual learning environment that uses the latest learning technology and benefit from innovative multimedia tools and study materials including:

• lecture notes

• learning videos

• revision courses

• online consultations, and

• live sessions with lecturers.

We also incorporate reports and case studies from everyday professional life into our courses.

If you find the leap to master's-level maths daunting, you can sign up for an additional support module on this course, that will ensure maths becomes a valued skill, rather than a hurdle to progress.

Our extra-curricular maths module is designed to help you overcome challenges, boost your confidence and achieve your academic goals. You won't earn any additional credits, but the skills you learn will help you confidently thrive in your course. And the best part? It's absolutely free. Once you're enrolled in your studies, you just need to enrol for the module and then you can start whenever it suits you. There's no need to submit any additional application or paperwork.