24 Online Summer Course Programs in United Kingdom

The LAT Summer Trading School Programme has been designed for school and university students looking for a more vocational approach to finance and trading. Based online, on the LAT trading floor or via a blended combination, students will learn about different financial markets and how they are traded, as well as the practicalities of trading from a fundamental or technical perspective.

Our Fundamentals of Graduate Economics and Finance Summer School will equip you with the fundamental tools you need to succeed. In just one week, our expert Oxford faculty will guide you through key concepts and techniques that form the backbone of many graduate-level courses in Economics.

The goal of this course is to provide you with a quick but solid introduction to a theoretical foundations of machine learning.

Understand how economies connect across borders. Get a strong grounding in international macroeconomics' core ideas, then build and solve quantitative open-economy models with hands-on solution methods. Along the way, you’ll see how differences across countries in household income and wealth inequality shape global linkages and outcomes.

Gain a solid foundation in the critical concepts of applied monetary economics, including a coverage of techniques essential for understanding economic dynamics and the effects of central bank policy decisions.

Most macroeconomic outcomes depend on people’s beliefs about the future. Different models of expectation formation will, as such, have different implications for macroeconomic dynamics. This short course aims to introduce you to the main methodological tools used in behavioural macroeconomics, while at the same time providing a survey of the main questions and answers given in the modern literature.

This course explores the central ideas and evidence that economists have proposed to understand global poverty and sustainable development. These are essential analytical tools to design effective solutions to some of the greatest social problems of our time.

Through a mixture of theory and substantive applications, this short course will introduce you to important issues that are typically ignored in the first course in causal inference.

This course explores the economic forces shaping the digital and AI-driven economy and the unique challenges they pose for business strategy, competition, and public policy. It examines how online platforms and artificial intelligence technologies leverage data, algorithms, and network effects to transform markets - and the implications for market power, innovation, and regulation.

Getting things wrong is part of what makes us human, and our natural intelligence helps us learn from our mistakes. Reinforcement learning is an area of machine learning which enables artificial intelligence to learn from its mistakes as well, for example allowing a robot to use trial-and-error to interact with a new environment and achieve an objective. This advanced course examines the fundamentals of reinforcement learning and explores the varied applications of dynamic programming methods.

Deep Unsupervised Learning is an exciting emerging area of research in the field of artificial intelligence and machine learning, in which the goal is to develop systems that can learn from unlabelled data. Such systems closely mimic natural human intelligence by finding patterns in data without instructions on what to look for.

From self-driving cars and augmented reality to intelligent medical imaging helping doctors identify diseases more quickly, computer vision is a rapidly growing field within artificial intelligence and machine learning. In this course, students who are already familiar with the key theoretical foundations of artificial intelligence and machine learning will dive deeper into the exciting capabilities of this area of research and its applications.

In our age of burgeoning smart technology and automation, we are already seeing the transformative potential of Artificial Intelligence and Machine Learning in fields as diverse as finance, medicine, and manufacturing. This course offers a hands-on introduction to this future-focused area of research.

Advanced Artificial Intelligence and Machine Learning: Natural Language Processing is a course that delves into the theoretical concepts of NLP, exploring its current applications and envisioning the potential future uses in diverse domains. The course highlights the significance of NLP in our daily lives, emphasizing its integration through predictive text, translation tools, and smart devices, showcasing the immense future potential within this exciting area of research, particularly evident in large language models like Chat-GPT.

While the world has been moving increasingly towards greater inter-connectivity through trade, infrastructure, communications, and migration, criticism of ‘globalisation’ has been growing ever louder. This wide-ranging course explores the process of globalisation, its macroeconomic implications, and the role of international organisations such as the United Nations. You will examine some of the responses to globalisation, from populist political movements like Brexit and Trumpism to diverse transnational social movements such as Black Lives Matter and the Arab Spring of 2011. In so doing, the programme will engage with ethical and theoretical constructs to help us to understand better the thinking behind the differing dynamics we are examining. This course is perfect for students seeking to understand some of the most significant political phenomena of our time.