COURSE CURRICULUM

The MSc in Applied Artificial Intelligence curriculum offers a comprehensive blend of theoretical foundations and practical applications to prepare students for advanced roles in AI and related technologies. The program begins with core modules such as Foundations of Calculus, Statistics, and Optimization, and Introduction to Programming, which build essential mathematical and coding skills required for AI development. Students then progress to advanced topics like Machine Learning and Deep Learning, where they learn to design intelligent models capable of learning from data. Specialized modules such as Natural Language Processing, Computer Vision and Pattern Recognition, and Industrial Cyber-Physical Systems explore the application of AI in communication, automation, and smart manufacturing. Modules like Data Management, Data Mining and Analysis, and Future Internet Technologies focus on handling large-scale data and integrating AI within modern digital infrastructures. Robotics introduces students to autonomous system design, while Ethics in AI and Seminars encourage responsible innovation and awareness of AI’s societal impacts. Research Methods supports the development of independent research skills, culminating in a dissertation that demonstrates mastery of AI applications. An optional placement offers practical industry experience, allowing students to apply their learning in real-world environments and enhance their employability across technology-driven sectors.