Artificial Intelligence (AI) & Machine Learning (ML) are interdisciplinary fields that fall under the broader umbrella of computer science. They combine elements from mathematics, statistics, data science, and programming to create intelligent systems that can learn, adapt, and improve over time. This exciting field also draws upon insights from cognitive science, psychology, and neuroscience to better understand and model human intelligence.

The core areas of study in AI & ML include algorithms, data structures, programming languages, and software development. Students can choose to specialize in various subfields, such as natural language processing, computer vision, robotics, or neural networks. As the field continues to grow and evolve, new areas of specialization, such as reinforcement learning and adversarial learning, are emerging, offering even more opportunities for exploration and innovation.

A major in AI & ML can lead to a wide range of exciting and in-demand careers, both within and outside the field. Potential job titles include data scientist, machine learning engineer, AI researcher, and robotics engineer. Additionally, AI & ML skills are increasingly sought after in industries such as healthcare, finance, and entertainment. Graduates might find themselves working on self-driving cars, developing intelligent virtual assistants, or even designing algorithms to predict and prevent diseases.

What sets AI & ML apart from other majors is the potential for groundbreaking innovations and the opportunity to shape the future of technology. As AI continues to advance, it is becoming an integral part of daily life, revolutionizing industries, and even raising ethical questions about the role of machines in society. Unlike law or medicine, AI & ML can be studied at both undergraduate and postgraduate levels in the UK and the US, allowing for flexibility in pursuing this cutting-edge field.

Students majoring in AI & ML will develop a range of marketable, transferable, and in-demand skills that are highly valued in today's job market. These skills include critical thinking, problem-solving, programming, data analysis, and communication. As AI becomes more prevalent in various industries, graduates with these skills will be well-prepared to tackle complex challenges and contribute to the development of innovative solutions that will shape the future.