IGNOU MST-024 Previous Year Question Papers – Download TEE Papers
About IGNOU MST-024 – Data Analysis with Python
Data science and statistical computing form the backbone of this curriculum, which is specifically designed for students enrolled in the Post Graduate Diploma in Applied Statistics. The course focuses on leveraging the Python programming language to perform complex data manipulation, visualization, and statistical modeling in a real-world context.
What MST-024 Covers — Key Themes for the Exam
Understanding the core pillars of the syllabus is essential for navigating the Term End Examination effectively. Examiners often structure these papers to test both theoretical understanding and practical script-writing logic. By identifying these recurring themes, students can prioritize high-weightage topics that appear consistently across various exam cycles.
- Python Libraries for Data Science — Examiners frequently test the application of NumPy and Pandas for array manipulation and data frame handling. Candidates are expected to know specific functions for cleaning datasets, merging tables, and handling missing values, as these are fundamental to any data analysis task.
- Data Visualization Techniques — A significant portion of the TEE focuses on Matplotlib and Seaborn libraries. Questions often require students to explain how to generate histograms, scatter plots, and heatmaps to represent statistical distributions and correlations visually.
- Statistical Computing and Inference — The exam evaluates the ability to perform hypothesis testing, t-tests, and ANOVA using Python scripts. Understanding how to interpret the output of these statistical tests is as important as writing the code itself for scoring well.
- File Handling and Data Ingestion — Students are often asked about importing data from diverse formats like CSV, Excel, and SQL databases. This theme tests the technical competency of moving raw data into a Python environment for subsequent processing and analysis.
- Control Structures and Functions — Logical reasoning via loops, conditional statements, and user-defined functions is a staple in the question papers. Examiners look for efficient code structures that demonstrate a clear grasp of Pythonic syntax and algorithmic thinking.
- Exploratory Data Analysis (EDA) — This theme covers the holistic process of summarizing the main characteristics of a dataset. Questions usually revolve around descriptive statistics, such as mean, median, and standard deviation, calculated through automated Python methods.
Mapping the past papers to these specific themes allows for a strategic revision process. It helps in identifying whether the current TEE trend leans more toward theoretical explanations or practical code implementation, ensuring a balanced preparation for the final assessment.
Introduction
Preparing for the Term End Examination (TEE) requires more than just reading textbooks; it demands a deep dive into the historical trends of the assessment. Utilizing these papers allows students to familiarize themselves with the language used by examiners and the depth of technical knowledge required. It serves as a diagnostic tool to identify personal strengths and weaknesses before the actual test day arrives.
The exam pattern for Data Analysis with Python typically blends conceptual questions with practical programming challenges. Students are often required to write snippets of code or explain the output of a given script. Analyzing these past papers reveals a structured approach where marks are distributed between basic Python syntax and advanced statistical application, making it a comprehensive test of data science skills.
IGNOU MST-024 Previous Year Question Papers
| Year | June TEE | December TEE |
|---|---|---|
| 2024 | Download | Download |
| 2023 | Download | Download |
| 2022 | Download | Download |
| 2021 | Download | Download |
| 2020 | Download | Download |
| 2019 | Download | Download |
| 2018 | Download | Download |
| 2017 | Download | Download |
| 2016 | Download | Download |
| 2015 | Download | Download |
| 2014 | Download | Download |
| 2013 | Download | Download |
| 2012 | Download | Download |
| 2011 | Download | Download |
| 2010 | Download | Download |
Download MST-024 Question Papers December 2024 Onwards
IGNOU MST-024 Question Papers — December 2024
| # | Course | TEE Session | Download |
|---|---|---|---|
| 1 | MST-024 | Dec 2024 | Download |
→ Download All December 2024 Question Papers
IGNOU MST-024 Question Papers — June 2025
| # | Course | TEE Session | Download |
|---|---|---|---|
| 1 | MST-024 | June 2025 | Download |
→ Download All June 2025 Question Papers
How Past Papers Help You Score Better in TEE
Exam Pattern
The paper is usually worth 50 marks with a duration of 2 hours. It contains a mix of direct descriptive questions and short programming exercises.
Important Topics
Pandas DataFrames, NumPy array operations, and statistical hypothesis testing are the most frequently repeated sections in this course.
Answer Writing
When writing Python code, ensure you use proper indentation and comments. For theoretical questions, use bullet points to explain library functions clearly.
Time Management
Spend 40 minutes on the descriptive section, 60 minutes on coding problems, and keep the final 20 minutes for reviewing logic and syntax.
Important Note for Students
⚠️ Question papers for the upcoming 2026 session will be updated
here after IGNOU releases them. Always cross-reference with the latest syllabus
at ignou.ac.in. Past papers work best alongside the official IGNOU study blocks,
not as a replacement for them.
Also Read
More resources for MST-024 preparation:
FAQs – IGNOU MST-024 Previous Year Question Papers
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at ignou.ac.in.
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✔ Last updated: April 2026
