MSc Artificial Intelligence and Machine Learning

at University of Birmingham

• Gain a deep understanding of the core concepts and methodologies that form the foundation of Artificial Intelligence and Machine Learning, including algorithms, neural networks, and data processing techniques.
• Explore how AI and ML are integrated into everyday technologies such as automated language translation, speech recognition and generation, recommender systems, and facial identification, and understand the impact of these applications.
• Learn how AI techniques are revolutionising medical diagnostics by filtering vast datasets to provide doctors with new insights, aiding in more accurate diagnoses and treatment plans.
• Apply your knowledge in a substantial individual project, collaborating with world-leading researchers. 

Modules 

• Artificial Intelligence and Machine Learning Project - 60 credits
• Current Topics in Artificial Intelligence and Machine Learning - 20 credits
• Machine Learning (Extended) - 20 credits
• Mathematical Foundations of Artificial Intelligence (AI) and Machine Learning (ML) - 20 credits

Important Dates

The programme begins in September 2024. Prospective students are advised to start the application process early, taking into account preparations such as IELTS or TOEFL exams. It's recommended to begin approximately a year in advance and to submit applications at least six months prior to the start date.

• Individuals holding a Bachelor's degree of three or four years from a recognized university in India are eligible for postgraduate taught programmes. 
• Typically, a Bachelor's degree should have a score of 55% - 60% or higher to be considered equivalent to a UK 2:1.
• IELTS: 6.5
• TOEFL: 88

The MSc Artificial Intelligence and Machine Learning fees are £31,410/Yr . Students are advised to visit the university's website for detailed information on tuition fees and to explore available financial support options, including scholarships and student loans.

With an MSc in Artificial Intelligence and Machine Learning, you will acquire the skills and knowledge necessary to address immediate, real-world problems. You will understand the capabilities and limitations of current AI technologies, be aware of contemporary challenges, and consider societal and ethical implications. This will enable you to make informed decisions about the application of AI techniques in various professional contexts, enhancing your ability to drive innovation and responsible AI integration in industry and academia.