SRM Data Science syllabus units, course code and exam plan for Semester 6.
Data Science (DS) is a Semester 6 subject under the SRMIST 2021 regulation. The checklist below lists its units; the exam pattern and a unit-by-unit preparation plan follow.
Data Science syllabus unit checklist
Course code 21CSS303T · 2 credits · Semester 6. The 3 unit titles below are from the SRMIST 2021 regulation syllabus (official curriculum); tick each one as you revise it.
- Unit 1 — Introduction to Data Science, Numpy and Pandas
- Unit 2 — Data Wrangling, Data Cleaning and Preparation
- Unit 3 — Visualization
DS in the Semester 6 subject map
Data Science is listed for Semester 6 under the SRMIST 2021 regulation. These are the pages around it: the semester hub first, then the other subjects listed for the same semester.
Data Science study resources
Exam pattern
What the SEM, CT and model papers are for DS, how long each runs, and where the marks sit across Part A, Part B and Part C.
Revision plan
How to fit the 3 units above into a one-night or multi-day plan, and what to do in each block.
Using your papers
This site does not host question papers. Collect the DS papers you have and use the unit-topic matrix method to see what repeats.
Tools
GPA and attendance calculators plus browser study tools, so planning and revision do not need a separate app.
How to prepare DS for SRM semester exams
Check the syllabus
Open the syllabus guide and confirm the DS unit topics. Only study what is listed for the 2021 regulation.
Collect your DS papers
Gather the DS SEM papers you already have and build a unit-topic matrix: one row per unit, one column per year. Anything that appears twice is worth learning properly.
Revise unit by unit
Work the units in the order above and answer the questions your matrix flagged. The exam strategy guide covers how Part B and Part C answers are marked.
Attempt a full paper under time
Pick a SEM paper you have and attempt it in the three hours with no notes. Note what cost you time, then revise those units again.