M. Tech. Artificial Intelligence and Data Science

Statements that describe what students are expected to know, and are able to do at the end of each course. These relate to the skills, knowledge and behaviour that students acquire in their progress through the course.

Program Outcomes are statements that describe what students are expected to know and be able to do upon graduating from the Program. These relate to the skills, knowledge, attitude and behaviour that students acquire through the program.

• PO1: Develop an in depth understanding about the principles, tools and techniques pertinent to data science.
• PO2: Apply the principles of data science to solve real life problems in various fields of Engineering, Physical and Natural Sciences.
• PO3: Implement state of the art data analysis techniques in different computing platforms.
• PO4: Arrive at innovative solutions for problems pertinent to data analysis in multiple domains.
• PO5: Able to identify and execute projects relevant to data analysis that will benefit the society.
• PO6: Able to communicate the findings of their analysis to scientific community through quality publications.

• PSO1 Understand the mathematical concepts behind the algorithms employed in data science and analyse the existing algorithms from a mathematical perspective.
• PSO2 Understand and implement the state-of-the-art bigdata platforms and high-performance computing platforms for solving problems related to data science.
• PSO3 Conduct research in the area of data science and pursue a career in research and development pertinent to data science.
• PSO4 Apply the tools and techniques of data science in the areas of NLP, Healthcare, Cyber Security, Smart Grids and Game Physics.