Master of Computer Science (Applied Artificial Intelligence)

Artificial intelligence is transforming the world. With a Master of Computer Science in Applied Artificial Intelligence (MCS AAI), you’ll be ready to innovate, solve complex problems, and lead the way forward. This course covers key machine learning methodologies, including supervised (decision trees, neural networks, SVM), unsupervised, and reinforcement learning. It explores challenges, computational learning theory, and algorithm evaluation. Prerequisites include linear algebra, calculus, probability/statistics, and ideally, basic AI concepts. A focus on algorithms and data structures crucial for modern database systems. It covers key aspects like buffer management, indexing, concurrency control, query optimization, and transaction management. The curriculum also explores database architectures, data models, and distributed database concepts, emphasizing security, integrity, and efficient data management techniques.

Career Path

Graduate career path includes AI Engineer (Designing & Deploying Machine Learning Models in Industry), Machine Learning Scientist (Research & Development in Algorithms,AI Driven Insights), Deep Learning, NLP, Computer Vision), Data Scientist (Predictive Analytics, Big Data, , Natural Language Processing (NLP) Specialist (Chatbots, Speech Recognition, Language Models), Cybersecurity AI Specialist (Threat Detection, AI Driven Security Systems), AI Product Manager (Strategy, Development, Deployment of AI Solutions).