IGNOU MSCAST Previous Year Question Paper Solved Download PDF
Are you preparing for your upcoming Ignou MSCAST exams? Don’t let uncertainty hold you back! Gain a competitive edge with our comprehensive collection of IGNOU MSCAST Previous Year Question Paper Solved Download PDF.Our meticulously crafted solutions provide you with the perfect roadmap to success. We have analyzed and decoded each question, enabling you to understand the exam pattern, identify key concepts, and boost your confidence. With our solved papers, you’ll gain valuable insights into the marking scheme and learn effective time management strategies.
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| Course Code | Name of the Course | Solved PDF |
| First Semester | ||
| MST-011 | Real Analysis, Calculus and Geometry | Download |
| MST-012 | Probability and Probability Distributions | Download |
| MST-013 | Survey Sampling and Design of Experiments-I | Download |
| MST-014 | Statistical Quality Control and Time Series | Download |
| MST-015 | Introduction to R Software | Download |
| MSTL-011 | Statistical Computing using R-I | |
| Second Semester | ||
| MST-016 | Statistical Inference | Download |
| MST-017 | Applied Regression Analysis | Download |
| MST-018 | Multivariate Analysis | Download |
| MST-019 | Epidemiology and Clinical Trials | Download |
| MSTL-012 | Statistical Computing using R-II | |
| Third Semester | ||
| MST-020 | Survey Sampling and Design of Experiments-II | Download |
| MST-021 | Classical and Bayesian Inference | Download |
| MST-022 | Linear Algebra and Multivariate Calculus | Download |
| MST-023 | Research Methodology | Download |
| MSTL-013 | Statistical Computing using R-III | |
| Fourth Semester | ||
| MST-024 | Data Analysis with Python | Download |
| MSTL-014 | Data Analysis with Python Lab | Download |
| MST-025 | Categorical and Survival Analysis | Download |
| MST-026 | Introduction to Machine Learning | Download |
| MSTL-015 | Statistical Computing using R-IV | |
| MSTE-011 | Operations Research* | |
| MSTE-012 | Stochastic Processes* | |
| MSTP-011 | Project/Dissertation* | |
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