M. Tech. in Artificial Intelligence and Data Science
The M. Tech. (Master of Technology) program in Artificial Intelligence and Data Science (AI and DS) at Shiv Nadar University (SNU) Chennai offers specialization verticals, research areas, a comprehensive curriculum, and diverse career opportunities. The curriculum includes courses such as Data Science, Essentials of AI, Optimization Techniques, Advanced Data Structures and Algorithms, Evolutionary Computing, Reinforcement Learning, Computer Vision, Architectures for AI, and elective courses based on specialization. The program combines theory and practical applications.
Graduates have career opportunities as Data Engineers/Scientists, Machine Learning Engineers, Data Analysts, Interactive Visualizers/Graphic Designers, Big Data Engineers/Architects, Database Developers, Statisticians, and ML Intelligent System Researchers. Opportunities also exist in speech technology, computational biology, radiogenomics, IoT, blockchain technology, graph theory, and more.
- Theoretical AI
- Finance, Economics, and Management
- Data Science
- Sensory AI
- Systems AI
- Applications
Technical Excellence
Develop students’ analytical thinking and advanced programming skills, enabling them to design robust software systems and create optimized algorithmic solutions.
Research & Innovation
Cultivate independent research capabilities and an entrepreneurial mindset to drive breakthrough transformative innovations and develop cutting-edge computing technologies aimed at addressing real-world challenges.
Professional Preparedness
Prepare graduates to be industry-ready through structured internship programs, strategic industry collaborations, and targeted professional certifications aligned with contemporary market requirements.
Global Leadership
Nurture adaptive thinking, ethical decision-making, and leadership excellence to prepare graduates for successful international careers or further pursuit of advanced academic programs.
Core foundation
- Data Structures
- Algorithms
- Operating Systems
- Computer Networks
- Databases
- Software Engineering
Advanced electives
- AI/ML
- Cloud Computing
- Cybersecurity
- Big Data Analytics
- IoT
Capstone design project and industry internship integrated into the final year.
M.Tech in Artificial Intelligence and Datascience
QUALIFYING DEGREES
- Four-year undergraduate course in CSE, IT, AI, and associated fields
- M.Sc integrated course (five years) in associated fields
- BS (four-year course) in associated fields
- Four-year undergraduate course in CSE, IT, AI, and associated fields
- M.Sc integrated course (five years) in associated fields
- BS (four-year course) in associated fields
