JAM MS 2026 - Expcted Cut off ______________________________

UPSC–ISS 2025 Full Course Batch

Complete Preparation Program for Indian Statistical Service

Prepare comprehensively for the UPSC Indian Statistical Service (ISS) Examination with a structured, year-long program designed to build deep conceptual clarity, exam-level accuracy, and confident answer-writing skills.

This program is crafted for serious aspirants who want systematic preparation with continuous evaluation and expert guidance.


Course Duration

July to - Till Final Exam (Full Academic Cycle)

Includes: Classes + Tests + Discussions + Mentorship + Strategy Guidance

Syllabus Completion Before December

Ample time for revision, mock practice, and performance improvement.


What This Course Includes:

  • Live lectures for each topic of ISS syllabus
  • 150+ Tests (Topic-wise & Full-Length)
  • Practice Sets for every topic as per ISS pattern
  • Live + Recorded classes for unlimited revision
  • Test discussion classes with detailed solutions
  • Guidance & structured preparation till your exam
  • 24×7 Doubt Support & Mentorship

Why This Program Works

  • Strong conceptual foundation
  • High-volume exam-level practice
  • Continuous evaluation & performance tracking
  • Answer-writing improvement for descriptive papers

Who Should Enroll?

  • B.Sc Statistics Students
  • M.Sc Statistics Students
  • Serious ISS Aspirants
  • Candidates targeting Government Statistical Services

Your ISS Selection Strategy Starts Here

Structured preparation + disciplined practice + expert mentorship = Higher probability of selection.

Enroll in the UPSC–ISS Full Course Batch and prepare with clarity, confidence, and consistency.

ISS Statistics Syllabus

General English (100 Marks | 3 Hours)

  • Essay Writing
  • Precis Writing
  • Comprehension
  • Summary Writing
  • Vocabulary & Workmanlike Use of Words

General Studies (100 Marks | 3 Hours)

  • Current Affairs (National & International)
  • Indian Polity & Constitution
  • Political System of India
  • History of India
  • Geography of India
  • General Scientific Awareness

Statistics I (Objective | 200 Marks | 2 Hours)

Probability

  • Classical & Axiomatic Probability
  • Conditional Probability & Bayes’ Theorem
  • Random Variables & Distribution Functions
  • Standard Distributions (Binomial, Poisson, Normal, Exponential, Gamma, Beta, etc.)
  • Joint & Conditional Distributions
  • Expectation & Conditional Expectation
  • Law of Large Numbers & Central Limit Theorem
  • Chebyshev & Kolmogorov Inequalities

Statistical Methods

  • Data Collection & Presentation
  • Measures of Location & Dispersion
  • Correlation & Regression
  • Sampling Distributions (t, Chi-square, F)
  • Hypothesis Testing
  • Non-Parametric Tests
  • Order Statistics

Numerical Analysis

  • Finite Differences
  • Interpolation & Extrapolation
  • Numerical Integration (Trapezoidal, Simpson’s)
  • Numerical Solutions of Differential Equations

Computer Applications

  • Computer Basics & Operating Systems
  • Programming Fundamentals
  • Algorithms & Flowcharts
  • Control Structures & Functions
  • Database Basics

Statistics II (Objective | 200 Marks | 2 Hours)

Linear Models

  • Gauss-Markov Theorem
  • Least Squares Estimation
  • ANOVA
  • Variance & Covariance of Estimators

Statistical Inference

  • MLE, Method of Moments
  • Cramer-Rao Bound
  • Sufficiency & Rao-Blackwell Theorem
  • Confidence Intervals
  • Likelihood Ratio Tests
  • Sequential Tests (SPRT)
  • Bootstrap & Jackknife

Official Statistics

  • NSSO, CSO & National Statistical System
  • Index Numbers
  • National Accounts
  • Population Census
  • Socio-Economic Indicators

Statistics III (Descriptive | 200 Marks | 3 Hours)

Sampling Techniques

  • SRSWR & SRSWOR
  • Stratified & Systematic Sampling
  • Cluster & Multistage Sampling
  • Ratio & Regression Estimation
  • Horvitz-Thompson Estimator

Econometrics

  • OLS & GLS Estimation
  • Autocorrelation & Multicollinearity
  • Instrumental Variables
  • Simultaneous Equation Models
  • 2SLS & 3SLS Estimators

Applied Statistics & Time Series

  • Index Numbers
  • National Income Estimation
  • AR, MA, ARMA, ARIMA Models
  • Box-Jenkins Method
  • Spectral Analysis

Statistics IV (Descriptive | 200 Marks | 3 Hours)

Candidates must choose any TWO sections:

Operations Research & Reliability

  • Transportation & Assignment Problems
  • Dynamic Programming
  • Game Theory
  • Inventory Models
  • Queuing Theory
  • PERT & CPM
  • Reliability & Life Distributions

Demography & Vital Statistics

  • Life Tables
  • Fertility & Mortality Measures
  • Migration Models
  • Population Projection

Survival Analysis & Clinical Trials

  • Kaplan-Meier Estimator
  • Cox Proportional Hazards Model
  • Clinical Trial Design

Quality Control

  • Control Charts (X̄, R, p, np, c)
  • Acceptance Sampling
  • Process Capability
  • CUSUM & EWMA Charts

Multivariate Analysis

  • Multivariate Normal Distribution
  • Wishart Distribution
  • Hotelling’s T²
  • Principal Component Analysis
  • Canonical Correlation

Design & Analysis of Experiments

  • CRD, RBD, LSD
  • Factorial Designs
  • Split Plot & Strip Plot
  • Analysis of Covariance

Computing with C & R

  • C Programming Basics
  • Control Structures & Functions
  • Arrays & Structures
  • File Handling
  • Statistical Computing in R

Total Marks Structure

  • Written Examination: 1000 Marks
  • Interview: 200 Marks
  • Grand Total: 1200 Marks

ISS Statistics Class Schedule

Coming Soon ...

ISS Previous Year Questions (PYQ)

Coming Soon ...

PYQ discussion ensures you understand real exam trends and improve answer structure accordingly.

Frequently Asked Question

1. What is the structure of the UPSC ISS Examination?

The UPSC Indian Statistical Service (ISS) Examination consists of 6 written papers (1000 marks) followed by a 200-mark interview. It includes General English, General Studies, and four Statistics papers (two objective and two descriptive).

2. Does this course cover the complete ISS syllabus?

Yes. The course covers the entire official UPSC ISS syllabus including Probability, Statistical Methods, Numerical Analysis, Linear Models, Inference, Econometrics, Sampling Techniques, Operations Research, Reliability, Demography, Survival Analysis, Multivariate Analysis, Design of Experiments, and Computing with C & R.

3. How many tests are included in the course?

The course includes 150+ tests including topic-wise tests, sectional tests, and full-length mock tests. Both objective and descriptive practice is included strictly as per ISS exam pattern.

4. Are classes live or recorded?

The course provides live interactive classes along with full access to recorded lectures for unlimited revision.

5. Is answer writing practice included for descriptive papers?

Yes. Dedicated test discussion classes are conducted for descriptive papers to improve answer structure, presentation, time management, and section selection strategy.

6. When will the syllabus be completed?

The complete syllabus is scheduled to be completed before December, giving sufficient time for revision, mock practice, and performance improvement.

7. Is doubt support available?

Yes. We provide 24×7 doubt-solving support through dedicated faculty and structured mentorship.

8. Who should enroll in this course?

B.Sc and M.Sc Statistics students, working professionals preparing for ISS, and serious aspirants targeting Government Statistical Services should enroll in this course.

9. Does the course include Previous Year Question (PYQ) discussion?

Yes. Topic-wise PYQ discussions are conducted along with pattern analysis and strategic guidance for both objective and descriptive papers.

10. How is this course different from a regular test series?

This is a complete preparation program that includes concept-building classes, practice sets, mock tests, test discussions, structured timeline, and continuous mentorship — not just a test series.

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