IGNOU MSc Applied Statistics Syllabus 2026: Semester-wise Subjects, Credits and Study Blocks
Part of IGNOU Syllabus: IGNOU Syllabus 2026: Programme-wise Course Structure
IGNOU MSc Applied Statistics syllabus structure: 4 semesters, 80 credits
The IGNOU MSc Applied Statistics programme requires 80 credits for completion. This two-year Master’s degree is structured across four semesters, with 20 credits in the first year’s first semester and 20 credits in the second semester. The second year’s third semester also carries 20 credits, while the fourth semester has 28 credits.
The programme includes 16 core theory courses, totalling 54 credits, and 5 core lab courses, which account for 18 credits. Students can choose between a project/dissertation worth 8 credits or two theory courses, “Operations Research” (4 credits) and “Stochastic Processes” (4 credits), in the fourth semester. The total programme fee for the minimum duration is Rs. 31,200 for the July 2026 session, paid at Rs. 7,800 per semester.
MSc Applied Statistics structure at a glance
| Semester / group | Courses | Credits |
|---|---|---|
| 1st semester | 6 courses | 20 |
| 2nd semester | 5 courses | 20 |
| 3rd semester | 5 courses | 20 |
| 4th semester | 8 courses | 28 |
Syllabus for other programmes: IGNOU syllabus, programme by programme.
IGNOU MSc Applied Statistics 1st semester subjects: Real Analysis, Calculus and Geometry
The IGNOU MSc Applied Statistics programme requires 80 credits over four semesters. The first semester includes six courses. MST 011 Real Analysis, Calculus and Geometry, with 2 credits, provides foundational concepts for later courses. The semester also includes MSTL 011 Statistical Computing using R-I, a 4-credit lab course.
The first semester balances theoretical understanding with practical application. MST 015 Introduction to R Software, a 2-credit course, introduces the R language fundamentals.
IGNOU MSc Applied Statistics 1st semester: courses and credits
| Course code | Course title | Credits | Type |
|---|---|---|---|
| MST 011 | Real Analysis, Calculus and Geometry | 2 | Theory |
| MST 012 | Probability and Probability Distributions | 4 | Theory |
| MST 013 | Survey Sampling and Design of Experiments-I | 4 | Theory |
| MST 014 | Statistical Quality Control and Time Series Analysis | 4 | Theory |
| MST 015 | Introduction to R Software | 2 | Theory |
| MSTL 011 | Statistical Computing using R-I | 4 | Lab |
MST 011 Real Analysis, Calculus and Geometry: study blocks
- Block 1: Real Analysis
- Block 2: Hyperplane and Calculus
MST 012 Probability and Probability Distributions: study blocks
- Block 1: Probability Measure and Random Variable
- Block 2: Discrete Probability Distributions
- Block 3: Continuous Probability Distributions
- Block 4: Inequalities and Sequence of Random Variables
MST 013 Survey Sampling and Design of Experiments-I: study blocks
- Block 1: Simple Random Sampling and Probability Proportional to Size Sampling
- Block 2: Stratified and Systematic Samplings
- Block 3: Analysis of Variance
- Block 4: Design of Experiments
MST 014 Statistical Quality Control and Time Series Analysis: study blocks
- Block 1: Process Control
- Block 2: Product Control
- Block 3: Time Series Analysis
- Block 4: Reliability Theory
MST 015 Introduction to R Software: study blocks
- Block 1: Fundamentals of R Language
- Block 2: Functions, Conditional Statements, Loops and Descriptive Statistics with R
IGNOU MSc Applied Statistics 2nd semester subjects: Statistical Inference, Applied Regression Analysis
Students study MST 016 Statistical Inference, MST 017 Applied Regression Analysis, MST 018 Multivariate Analysis, and MST 019 Epidemiology and Clinical Trials as theory courses. The semester also includes MSTL 012 Statistical Computing using R-II, a 6-credit lab course.
MST 016 Statistical Inference, with its four eGyanKosh blocks, provides the base for understanding hypothesis testing and estimation methods. MST 017 Applied Regression Analysis, also a 4-credit course, then applies these principles to linear regression models and diagnostics. Students must complete assignments for all theory courses, and the practical component of MSTL 012 requires hands-on work in statistical computing.
IGNOU MSc Applied Statistics 2nd semester: courses and credits
| Course code | Course title | Credits | Type |
|---|---|---|---|
| MST 016 | Statistical Inference | 4 | Theory |
| MST 017 | Applied Regression Analysis | 4 | Theory |
| MST 018 | Multivariate Analysis | 4 | Theory |
| MST 019 | Epidemiology and Clinical Trials | 2 | Theory |
| MSTL 012 | Statistical Computing using R-II | 6 | Lab |
MST 016 Statistical Inference: study blocks
- Block 1: Fundamentals of Statistical Inference
- Block 2: Properties of Good Estimators
- Block 3: Methods of Estimation
- Block 4: Testing of Hypothesis: Parametric Tests
MST 017 Applied Regression Analysis: study blocks
- Block 1: Linear Regression Model
- Block 2: Model Adequacy Checking
- Block 3: Diagnostics of Model Assumptions and Variable Selection
- Block 4: Regression Models for Qualitative Response
MST 018 Multivariate Analysis: study blocks
- Block 1: Multivariate Analysis Prerequisites
- Block 2: Aspects of Multivariate Normal Distribution
- Block 3: Multivariate Techniques-I
- Block 4: Multivariate Techniques-II
MST 019 Epidemiology and Clinical Trials: study blocks
- Block 1: Epidemiology
- Block 2: Clinical Trials
IGNOU student services
IGNOU MSc Applied Statistics 3rd semester subjects: Survey Sampling and Design of Experiments-II
This semester focuses on advanced statistical methods, including MST 020 Survey Sampling and Design of Experiments-II, which builds on foundational sampling concepts. Learners also study MST 021 Classical and Bayesian Inference, covering topics from Uniformly Minimum Variance Unbiased Estimators to Bayesian Estimation.
MST 022 Linear Algebra and Multivariable Calculus provides essential mathematical tools for statistical analysis, while MST 023 Research Methodology covers the practical aspects of statistical research, from proposal writing to research ethics. The practical component, MSTL 013 Statistical Computing using R-III, is a lab course that reinforces the theoretical knowledge gained in other courses.
IGNOU MSc Applied Statistics 3rd semester: courses and credits
| Course code | Course title | Credits | Type |
|---|---|---|---|
| MST 020 | Survey Sampling and Design of Experiments-II | 4 | Theory |
| MST 021 | Classical and Bayesian Inference | 4 | Theory |
| MST 022 | Linear Algebra and Multivariable Calculus | 4 | Theory |
| MST 023 | Research Methodology | 4 | Theory |
| MSTL 013 | Statistical Computing using R-III | 4 | Lab |
MST 020 Survey Sampling and Design of Experiments-II: study blocks
- Block 1: Use of Auxiliary Information in Estimation
- Block 2: Cluster and Two Stage Samplings
- Block 3: Factorial Experiments
- Block 4: Incomplete Block Designs
MST 021 Classical and Bayesian Inference: study blocks
- Block 1: Uniformaly Minimum Variance Unbiased Estimators
- Block 2: Neyman-Pearson Lemma, Likelihood Ratio and Sequential Probability Ratio Tests
- Block 3: Testing of Hypothesis: Non-Parametric Tests
- Block 4: Bayesian Estimation and Random Numbers Generation
MST 022 Linear Algebra and Multivariable Calculus: study blocks
- Block 1: Vector Space
- Block 2: Linear Transformation and Inner Product Space
- Block 3: Multivariable Differential Calculus
- Block 4: Taylor Series, Optimisation and Gradient Descent
MST 023 Research Methodology: study blocks
- Block 1: Overview of Research in Statistics
- Block 2: Research Proposal and Managing References
- Block 3: Data Preparation, Analysis and Presentation
- Block 4: Technical Writing and Research Ethics
IGNOU MSc Applied Statistics 4th semester subjects: Data Analysis with Python, Categorical and Survival Analysis
Students complete MST 024 Data Analysis with Python, a 2-credit theory course, alongside MSTL 014 Data Analysis with Python Lab, which also carries 2 credits. This pairing ensures practical application of Python skills.
Students also take MST 025 Categorical and Survival Analysis (2 credits) and MSTL 015 Statistical Computing using R-IV (2 credits).
IGNOU MSc Applied Statistics 4th semester: courses and credits
| Course code | Course title | Credits | Type |
|---|---|---|---|
| MST 024 | Data Analysis with Python | 2 | Theory |
| MSTL 014 | Data Analysis with Python Lab | 2 | Lab |
| MST 025 | Categorical and Survival Analysis | 2 | Theory |
| MST 026 | Introduction to Machine Learning | 4 | Theory |
| MSTL 015 | Statistical Computing using R-IV | 2 | Lab |
| MSTE 011 | Operations Research* | 4 | Theory |
| MSTE 012 | Stochastic Processes* | 4 | Theory |
| MSTP 011 | Project/Dissertation* | 8 | Project |
MST 024 Data Analysis with Python: study blocks
- Block 1: Getting Started with Python
MST 025 Categorical and Survival Analysis: study blocks
- Block 1: Categorical Data Analysis
- Block 2: Survival Analysis
MST 026 Introduction to Machine Learning: study blocks
- Block 1: Data Types, Evaluation Metrics and Cross-Validation for Machine Learning Algorithms
- Block 2: Some Supervised and Unsupervised Machine Learning Algorithms
- Block 3: Neural Networks
- Block 4: Applications of Neural Networks
MSTE 011 Operations Research*: study blocks
- Block 1:
- Block 2:
- Block 3:
- Block 4:
MSTE 012 Stochastic Processes*: study blocks
- Block 1: Stochastic Processes and Markov Chain
- Block 2: Poisson and Wiener Processes
- Block 3: Non-Markovian Stochastic Processes
- Block 4: Applications of Stochastic Processes
IGNOU MSc Applied Statistics assessment: assignments, term-end exams and pass marks
The IGNOU MSc Applied Statistics programme assesses learners through assignments, term-end examinations, and practical components. Assignments are compulsory for all courses. Learners must submit their assignment responses to the Coordinator of their Learner Support Centre before appearing for the Term-End Examination (TEE).
The project/dissertation (MSTP 011) is worth 8 credits. Alternatively, learners can opt for two theory courses, Operations Research (MSTE 011) and Stochastic Processes (MSTE 012), each worth 4 credits, instead of the project.
Term-end examinations take place twice a year, in June and December. The examination fee is Rs. 200 per theory course. For projects and practical exams, the fee is Rs. 300 for up to 4 credits and Rs. 500 for above 4 credits, applicable from the January 2023 admission cycle. Hall tickets are uploaded on the University website and are not sent by post. Learners can write the exam in Hindi even if registered in English medium, except for language programmes.
Exam and assignment guides: IGNOU assignment format; IGNOU TEE date sheet and IGNOU result and grade card.
IGNOU MSc Applied Statistics study material: printed blocks and eGyanKosh
Printed self-instructional study material is provided as a print book and/or e-book for the IGNOU MSc Applied Statistics programme. Learners who opt for soft copy instead of printed material receive a 15% discount on the programme fee. The full programme fee for the minimum duration is Rs. 31,200 (July 2026 prospectus), so this discount can be significant.
The self-learning material for over 3923 courses of 384 programmes is available on eGyanKosh. For the IGNOU MSc Applied Statistics programme, eGyanKosh lists specific study blocks for each course. For example, MST 011 Real Analysis, Calculus and Geometry (2 credits) has two blocks: Block 1: Real Analysis and Block 2: Hyperplane and Calculus. MST 012 Probability and Probability Distributions (4 credits) has four blocks, including Block 1: Probability Measure and Random Variable and Block 2: Discrete Probability Distributions.
Counselling sessions are held as per the schedule drawn up by the Learner Support Centre. Technology-enabled support is also available through Gyan Darshan, Gyan Vani, Swayam Prabha, and web-based support. Practical sessions are compulsory where a programme includes them, such as MSTL 011 Statistical Computing using R-I (4 credits, Lab) in the first semester.
Study support: IGNOU study material status; IGNOU previous year question papers and IGNOU regional and study centres.
Notices and Documents from IGNOU
Common IGNOU Questions
What is the total fee for the IGNOU MSc Applied Statistics programme?
The total programme fee for the IGNOU MSc Applied Statistics is Rs. 31,200 for the minimum two-year duration. This amount covers four semesters, with each semester costing Rs. 7,800, as per the July 2026 prospectus. This does not include registration, development, or examination fees.
Which semester has the most credits in the IGNOU MSc Applied Statistics programme?
The fourth semester of the IGNOU MSc Applied Statistics programme has the most credits, totalling 28. The first, second, and third semesters each carry 20 credits. This makes the final semester the heaviest in terms of workload.
Are there any lab courses in the IGNOU MSc Applied Statistics syllabus?
Yes, the IGNOU MSc Applied Statistics programme includes five core and compulsory lab courses, worth a total of 18 credits. These are MSTL 011, MSTL 012, MSTL 013, MSTL 014, and MSTL 015, spread across the four semesters.
Can I choose a project or alternative courses in the final year of IGNOU MSc Applied Statistics?
Yes, in the fourth semester, you can choose between a Project/Dissertation (MSTP 011) worth 8 credits, or two theory courses: Operations Research (MSTE 011) and Stochastic Processes (MSTE 012), each worth 4 credits. You must opt for one of these two options.
What is the minimum and maximum duration to complete the IGNOU MSc Applied Statistics programme?
The minimum duration to complete the IGNOU MSc Applied Statistics programme is 2 years. Learners have a maximum of 4 years to earn the required 80 credits for successful completion of the degree.
What are the study blocks for MST 012 Probability and Probability Distributions?
The eGyanKosh study blocks for MST 012 Probability and Probability Distributions include Block 1: Probability Measure and Random Variable, Block 2: Discrete Probability Distributions, Block 3: Continuous Probability Distributions, and Block 4: Inequalities and Sequence of Random Variables.
Is there an exit option from the IGNOU MSc Applied Statistics programme?
Yes, there is an exit option. A Post Graduate Diploma in Statistics and Applications (PGDSA) is awarded after the successful completion of the first two semesters of the IGNOU MSc Applied Statistics programme.
How many credits are theory courses and how many are lab courses in the IGNOU MSc Applied Statistics?
The programme comprises 16 core and compulsory theory courses, totalling 54 credits. Additionally, there are 5 core and compulsory lab courses, which account for 18 credits. The project/dissertation or alternative theory courses make up the remaining 8 credits.
What are the eligibility criteria for the IGNOU MSc Applied Statistics programme?
Eligibility requires a B.A./B.Sc. (Major/Honours) Degree in Statistics/Mathematics, or a B.A./B.Sc. degree with Statistics/Mathematics as one of three subjects with equal weightage, or a one-year Post Graduate Diploma in Statistics/Applied Statistics/Data Science/Data Analytics from a recognised university.
What are the study blocks for MST 026 Introduction to Machine Learning?
The eGyanKosh study blocks for MST 026 Introduction to Machine Learning are Block 1: Data Types, Evaluation Metrics and Cross-Validation for Machine Learning Algorithms; Block 2: Some Supervised and Unsupervised Machine Learning Algorithms; Block 3: Neural Networks; and Block 4: Applications of Neural Networks.