M.Tech. Artificial Intelligence and Machine Learning at Birla Institute of Technology and Science Pilani

INR 288,250

Birla Institute of Technology and Science Pilani, IND

Type: Masters Duration: 2.0 years

Explore the M.Tech. Artificial Intelligence and Machine Learning program at Birla Institute of Technology and Science Pilani. This program is offered in IND and provides an excellent learning opportunity in Masters studies.

The M.Tech. in Artificial Intelligence and Machine Learning at BITS Pilani is a comprehensive two-year program designed for working professionals. This program spans four semesters and is delivered through a Work Integrated Learning approach, allowing students to balance their studies with their careers. The curriculum covers essential topics such as machine learning, deep learning, natural language processing, and computer vision, equipping students with the skills needed for advanced roles in AI and ML. The program includes both core and elective courses, with options for specialization in areas like deep learning and NLP. Students will also engage in a dissertation project in their final semester, applying their knowledge to real-world challenges. Classes are conducted live online, primarily on weekends, ensuring flexibility for working professionals. Graduates will join a global network of BITS Pilani alumni, enhancing their career prospects in a rapidly evolving job market.

University
Birla Institute of Technology and Science Pilani
University Location
IND (Online)
Program Duration
2.0 years
Ranking
#809
Part-time allowed
Yes

Required Courses
  • Mathematical Foundations for Machine Learning
  • Machine Learning
  • Introduction to Statistical Methods
  • Artificial and Computational Intelligence
  • Deep Neural Networks
  • Deep Reinforcement Learning
  • Dissertation
Elective Courses
  • Unsupervised Deep Learning
  • Graph Neural Networks
  • ML System Optimization
  • Fair Interpretable Trustworthy Machine Learning
  • NLP Applications
  • Social Media Analytics
  • Natural Language Processing
  • Information Retrieval
  • Conversational AI
  • MLOps
  • Design of Algorithms
  • Computer Vision
  • Probabilistic Graphical Models
  • Data Management for Machine Learning
  • Video Analysis
  • Advanced Data Mining
  • AI and ML techniques for Cyber Security