Post Graduate Programmme in Data Science Syllabus 2026: Subjects, Specializations, and Semester-wise Syllabus

Syllabus of Post Graduate Program in Data Science is given below, the program equips students with the knowledge and skills needed to excel in the dynamic and data-driven field of data science.

Syllabus: PGP in Data Science

A Post Graduate Program in Data Science typically covers a comprehensive syllabus that includes core topics such as statistics, machine learning, data visualization, and data management. The curriculum also delves into advanced subjects like deep learning, natural language processing, and big data technologies. Additionally, students learn to apply these concepts to real-world problems through hands-on projects and case studies. Ethical considerations, data ethics, and domain-specific applications are often integrated into the syllabus. Soft skills like communication, teamwork, and problem-solving are emphasized. Overall, the program equips students with the knowledge and skills needed to excel in the dynamic and data-driven field of data science.

S.No	Subjects
1	Data Visualization for Data Scientists
2	Introduction to Statistics & Probability
3	Topics in Data Science
4	Applied Statistics & Experimental Design
5	Software Design for Data Science
6	Statistical Machine Learning for Data Science
7	Data Management for Data Science