Post Graduate Programme in Data Science with Artificial Intelligence and Machine Learning

Programme Objective:

• Prepare graduates with a deep understanding of probability, statistics, linear algebra, and other mathematical concepts relevant to data science.
• Prepare graduates capable of developing and applying Artificial Intelligence based Machine Learning algorithms and models to solve complex problems, including supervised and unsupervised learning, deep learning, and natural language processing.
• Prepare graduates that effectively communicate data-derived insights and conclusions using data visualization tools and presentations.

Prepare efficient graduates with python programming skills and working with structured and unstructured data.

Programme Outcome:

• Proficiency in developing object-oriented solutions for data science problems using python programming.
• Apply linear algebra concepts for data science and visualize data using tableau to become proficient in building interactive dashboards.
• Implement mathematical computing using the NumPy and Scikit-learn packages and get proficient in probability and statistics for machine learning.
• Use linear and non-linear regression models and classification techniques for data analysis.
• Develop supervised and unsupervised learning models, deep learning models to solve classification and regression problems, and natural language processing-based solutions to analyze user sentiments and opinions.
• Learn complete machine learning cycle implementation on the cloud using MLFlow, as well as an in-depth understanding of SQL and NoSQL.