MSC Applied Artificial Intelligence
Overview
A Master of Science (MSc) in Applied Artificial Intelligence is a postgraduate degree program that focuses on providing students with advanced knowledge and practical skills in the field of artificial intelligence (AI) and its applications across various industries. This program is designed to prepare students to become AI experts and data scientists who can develop, implement, and deploy AI solutions to solve real-world problems.
- Comprehensive AI Curriculum: The program covers a wide range of topics related to artificial intelligence, including machine learning, deep learning, natural language processing, computer vision, robotics, data mining, and statistical modeling.
- AI Programming: Learning programming languages commonly used in AI development, such as Python, R, and TensorFlow, to build and implement AI models and algorithms.
Data Analytics: Understanding the process of data collection, preprocessing, and analysis, as well as techniques for handling large-scale data.
MSC Applied Artificial Intelligence Syllabus
Semester I
Introduction to Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Data Mining and Big Data Analytics, Research Methods in AI.
Semester II
Reinforcement Learning, Computer Vision, AI Ethics and Responsible AI, AI in Robotics, AI in Business and Industry, Elective Course 1( autonomous vehicles, AI for social good, AI in healthcare, etc.)
Semester III
Dissertation or Capstone Project, Elective Course 2(specialization interests), Industrial Visits and Practical Experience.
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