This page gives the paper-wise date and course code for all six I Semester exams, along with the exam timing and mode. It also lists details the official notice does not cover, such as hall ticket, venue, syllabus and result dates, so you know what to confirm with the college. Everything here is taken from the official time table PDF, which is linked in the Important Links section.
Direct Link to CMS College M.Sc Time Table 2026
CMS College M.Sc Time Table 2026 – Quick Overview
| Detail | Information |
|---|---|
| Institution | CMS College Kottayam (Autonomous) |
| Affiliation | Mahatma Gandhi University |
| Programme | M.Sc. Data Science and Analytics |
| Examination | I Semester CSS Postgraduate Examinations, November 2026 |
| Batch | 2026 Admissions (Regular) |
| Exam dates | 23 November 2026 to 11 December 2026 |
| Time table dated | 06.11.2026 |
| Official Website | cmscollege.ac.in |
CMS College M.Sc. Data Science and Analytics Exam Dates and Schedule
| Date | Day | Paper | Course Code |
|---|---|---|---|
| 23.11.2026 | Monday | Introduction to Data Science & Data Analytics | CMSDA26211101 |
| 25.11.2026 | Wednesday | Linear Algebra and Matrices | CMSDA26211102 |
| 27.11.2026 | Friday | Probability and Distribution Theory | CMSDA26211103 |
| 07.12.2026 | Monday | Database Management Systems | CMSDA26211104 |
| 09.12.2026 | Wednesday | Python Programming for Data Science | CMSDA26211105 |
| 11.12.2026 | Friday | Statistical Inference | CMSDA26211106 |
Exam Timing and Mode
- Timing: 9:30 a.m. to 12:30 p.m. on all exam days (3 hours).
- Type: Multiple Choice Objective (MCQ).
- Mode: Online.
I Semester Subjects and Course Codes
The time table lists six papers for the 2026 admission batch. Course codes are given exactly as published.
- Introduction to Data Science & Data Analytics (CMSDA26211101)
- Linear Algebra and Matrices (CMSDA26211102)
- Probability and Distribution Theory (CMSDA26211103)
- Database Management Systems (CMSDA26211104)
- Python Programming for Data Science (CMSDA26211105)
- Statistical Inference (CMSDA26211106)
How to Download the CMS College M.Sc. Data Science and Analytics Time Table
The time table is available as a PDF file on the CMS College website. You can open it directly from the link in the steps below.
- Open the official time table PDF.
- Check the heading: “Timetable for I Semester (2026 Admissions – Regular) CSS Postgraduate Examinations, November 2026” and the programme name, M.Sc. Data Science and Analytics.
- Use the download or save option in your browser or PDF viewer to save the file to your device.
- Verify the reference number (CMS/CE/1660/2026) and the date of the notice (06.11.2026) to make sure you have the correct document.
- Take a printout or save a copy for reference during the exam period.
Important Instructions
- Check the date, paper name and course code against your enrolment before each exam.
- Be ready for an online MCQ exam. The notice does not describe the platform or the software requirements.
- Note the gap between exams: papers are held on alternate days from 23 to 27 November, then resume on 7 December.
- Confirm any change or additional notice on the official college website or notice board.
CMS College M.Sc Time Table 2026 – Important Links
Have a Question About This Job?
Ask doubts, report errors and get helpful replies.
Q1. When do the CMS College M.Sc. Data Science and Analytics I Semester exams start?
The exams start on 23 November 2026 with Introduction to Data Science & Data Analytics.
Q2. What is the last exam date?
The last exam is Statistical Inference on 11 December 2026.
Q3. What is the exam time?
All exams run from 9:30 a.m. to 12:30 p.m.
Q4. Is the exam online or offline?
The time table states that the exam is a multiple choice objective (MCQ) type test in online mode.
Q5. How many papers are there in the I Semester?
There are six papers listed for the 2026 admission batch.
About the Author
Dheshini is a dedicated content writer who focuses on Education and Competitive exams like, admit card, exam updates. She believes in writing in a way that breaks down technical details, making sure that every student can easily understand and act on the latest news.
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