UPSC IES ISS Syllabus 2024 – Check Here Indian Economics/Statistical Service Exam Pattern & Syllabus

UPSC IES ISS Syllabus 2024:संघ लोक सेवा आयोग (यूपीएससी) 21 जून 2024 को भारतीय अर्थशास्त्र/सांख्यिकीय सेवा परीक्षा 2024 आयोजित करेगा। योग्य व्यक्ति जो यूपीएससी अर्थशास्त्र और सांख्यिकी सेवा रिक्तियों में रुचि रखते हैं, वे यहां से विस्तृत UPSC IES ISS Syllabus and परीक्षा पैटर्न की जांच कर सकते हैं। After checking the UPSC IES ISS Syllabus you can start your preparation accordingly.

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UPSC IES ISS Syllabus 2024

UPSC IES ISS Syllabus 2024 – Highlights

Commission Name Union Public Service Commission (UPSC)


Article Type UPSC IES ISS Syllabus and Exam Pattern
Mode of Application Online
Online Application Starts From 10-04-2024
Last Date of Online Application 30-04-2024
Date of Exam 21st June, 2024
Official Website

UPSC IES ISS Selection Process

  • Written Examination (1000 Marks)
  • Interview/ Viva Voice (200 Marks)

UPSC IES ISS Exam Pattern 2024

The general overview of both the UPSC IES and ISS 2024 Exam Pattern is as follows:

UPSC IES Recruitment Exam Pattern

  • Mode of Exam: Offline
  • Type of Questions: Subjective Type (Offline)
  • Language: English only
Subjects Maximum Marks Time Allotted
General Studies 100 3 Hours
General English 100 3 Hours
General Economics – I 200 3 Hours
General Economics – II 200 3 Hours
General Economics – III 200 3 Hours
Indian Economics 200 3 Hours


UPSC ISS Recruitment Exam Pattern

Subjects Maximum Marks Time Allotted
General Studies 100 3 Hours
General English 100 3 Hours
Statistics – I (Objective) 200 2 Hours
Statistics – II (Objective) 200 2 Hours
Statistics – III 200 3 Hours
Statistics – IV 200 3 Hours


Note: There will be 80 objective-type questions (MCQ) of Statistics I and Statistics II subjects in the Indian Statistical Service (ISS) exam. The rest of the UPSC ISS papers will be subjective/ Descriptive Type.


UPSC IES ISS Syllabus 2024

Candidates can check here topics for the UPSC IES ISS Syllabus and start their preparation for their upcoming examination –

UPSC ESIC Nursing Officer Recruitment 2024

UPSC ISS Syllabus


Topics for UPSC IES ISS Syllabus

General English
  • Essay Writing
  • Understanding of English language and vocabulary
  • Summary or Precis Writing
  • Passages
General Studies
  • General Knowledge
  • Current Events or Affairs
  • Indian Polity
  • History of India
  • Geography
Statistics I (Objective Type) Probability:

  • Classical & Axiomatic Definition of Probability,
  • Law of total probability,
  • Conditional probability,
  • Bayes’ theorem and applications,
  • Discrete and continuous random variables,
  • Standard discrete & continuous probability distributions,
  • Modes of convergences,
  • Mathematical expectation and conditional expectation,
  • Inversion,
  • uniqueness and continuity theorems,
  • Borel 0-1 law,
  • Kolmogorov’s 0-1 law,
  • Tchebycheff’s and Kolmogorov’s inequalities,
  • Laws of large numbers &
  • central limit theorems.

Statistical Methods:

  • Collection,
  • compilation & presentation of data/charts/diagrams/histogram,
  • Frequency distribution,
  • Measures of location/dispersion/skewness/kurtosis,
  • Bivariate and multivariate data,
  • Association and contingency,
  • Curve fitting and orthogonal polynomials,
  • Bivariate normal distribution,
  • Regression-linear,
  • polynomial,
  • The correlation coefficient,
  • Partial and multiple correlations,
  • Intraclass correlation,
  • Correlation ratio,
  • Standard errors & large sample test,
  • Sampling distributions of sample mean,
  • Non-parametric tests,
  • Order statistics,
  • Concept of Asymptotic relative efficiency.

Numerical Analysis:

  • Finite differences of different orders,
  • Concept of interpolation and extrapolation,
  • Inverse interpolation,
  • Numerical differentiation,
  • Summation of Series,
  • Numerical solutions of differential equations,

Computer Application & Data Processing:

  • Basics of Computer,
  • Operations of a computer,
  • Different units of a computer system,
  • Output and peripheral devices,
  • Software,
  • system and application software,
  • Operating systems,
  • Low and High-level languages,
  • RAM, ROM,
  • unit of computer memory,
  • Network – LAN, WAN, internet, intranet,
  • Basics of computer security,
  • Basics of Programming
Statistics II (Objective Type) Linear Models:

  • Theory of linear estimation,
  • Gauss-Markov Linear Models,
  • Error & Estimation Space,
  • Normal Equations,
  • Estimation of error variance,
  • Estimation with correlated observations,
  • Variances and covariances,
  • One-way and two-way classifications,
  • Analysis of variance,

Statistical Inference & Hypothesis Testing:

  • Characteristics of a good estimator,
  • Estimation methods,
  • Minimum variance unbiased estimators,
  • Minimum variance bound estimators,
  • Hypothesis testing,

Official Statistics:

  • National and International official statistical system,
  • National Statistical Organization,
  • National Statistical Commission,
  • Index Numbers,
  • Sector Wise Statistics,
  • National Accounts,
  • Population Census,
  • Socio-Economic Indicators,
  • Gender Awareness/Statistics,
  • Important Surveys and
  • Censuses.
Statistics- III
(Descriptive Type)
Sampling Techniques:

  • Concept of population and sample,
  • Need for sampling,
  • Complete enumeration versus sampling,
  • Methodologies in sample surveys by NSSO,
  • Subjective or purposive sampling,
  • Probability sampling or random sampling,
  • Estimation of population mean,
  • Stratified random sampling,
  • Covariance and Variance Function,
  • Ratio,
  • product and regression methods of estimation,
  • Systematic sampling,
  • Sampling with probability proportional to the size,
  • Concept of multistage sampling and its application


  • Nature of econometrics,
  • General Linear Model (GLM) and its extensions,
  • Ordinary Least Squares (OLS) estimation and prediction,
  • Generalized Least Squares (GLS) estimation and prediction,
  • Heteroscedastic disturbances,
  • pure and mixed estimation,
  • Autocorrelation,
  • Autocorrelation consequences and tests,
  • Theil BLUS procedure,
  • estimation and prediction,
  • Linear regression and stochastic regression,
  • Simultaneous linear equations model and its generalization,
  • Estimation in simultaneous equations model.

Applied Statistics:

  • Index Numbers,
  • Time Series Analysis,
  • Exploratory Time Series Analysis,
  • Detailed study of the stationary processes,
  • Discussion (without proof) of estimation of mean,
  • Spectral analysis of the weakly stationary process
(Descriptive Type)

(50% Questions from all subsections below & Candidates need to choose two subsections)

Operations Research and Reliability:

  • Definition & Scope of Operations Research,
  • Transportation and assignment problems,
  • Decision-making in the face of competition,
  • Analytical structure of inventory problems,
  • Queuing models,
  • Sequencing and scheduling problems,
  • Branch and Bound method,
  • Replacement problems,
  • PERT and CPM –
    • basic concepts,
    • Notions of aging,
    • Reliability estimation based on failure times.

Demography and Vital Statistics:

  • Sources of demographic data,
  • Complete life table and its main features,
  • UN model life tables,
  • Measurement of Fertility,
  • Measurement of Mortality,
  • Internal migration and its measurement,
  • Projection method including logistic curve fitting

Survival Analysis & Clinical Trial:

  • Concept of time,
  • Life tables,
  • failure rate,
  • mean residual life,
  • Estimation of the survival function,
  • Two-sample problem,
  • Semi-parametric regression for failure rate,
  • Competing risk model,
  • Data management,
  • Design of clinical trials,
  • Reporting and analysis

Quality Control:

  • Statistical process and product control,
  • General theory and review of control charts,
  • Acceptance sampling plans for attribute inspection.

Multivariate Analysis:

  • Multivariate normal distribution and its properties,
  • Maximum likelihood estimators,
  • Wishart matrix,
  • Hotelling’s T2 and its sampling distribution,
  • Classification problem,
  • Principal components,
  • dimension reduction.

Design and Analysis of Experiments:

  • Analysis of variance for one-way and two-way classifications,
  • Need for design of experiments,
  • The basic principle of experimental design,
  • Complete analysis as well as layout of the completely randomized design,
  • Missing plot technique,
  • Split Plot Design and Strip Plot Design,
  • Factorial experiments,
  • Analysis of covariance,
  • Analysis of non-orthogonal data,
  • Analysis of missing data.

Computing with C and R:

  • Basics of C,
  • Control Statements,
  • Functions,
  • Structure,
  • Files in C,
  • Statistics Methods and
  • techniques in R.


UPSC IES Syllabus

There are six papers in the written examination. Check here the topics that cover the UPSC IES Syllabus:-


Topics for UPSC IES ISS Syllabus

General English
  • Essay Writing
  • Understanding of English language and vocabulary
  • Summary or Precis Writing
  • Passages
General Studies
  • General Knowledge
  • Current Events or Affairs
  • Indian Polity
  • History of India
  • Geography
General Economics I Part – A:

  • Theory of Consumer’s Demand,
  • Theory of Production,
  • Theory of Value,
  • Theory of Distribution,
  • Welfare Economics

Part – B:

  • Mathematical Methods in Economics,
  • Statistical and Econometric Methods
General Economics II
  • Economic Thought,
  • Concept of National Income and Social Accounting,
  • Theory of employment,
  • Output,
  • Inflation,
  • Money and Finance,
  • Financial and Capital Market,
  • Economic Growth and Development,
  • International Economics,
  • Balance of Payments,
  • Global Institutions
General Economics III
  • Public Finance,
  • Environmental Economics,
  • Industrial Economics,
  • State,
  • Market and Planning
Indian Economics
  • History of Development and Planning,
  • Federal Finance,
  • Budgeting and Fiscal Policy,
  • Poverty Unemployment and Human Development,
  • Agriculture and Rural Development Strategies,
  • India’s experience with Urbanisation and Migration,
  • Industry,
  • Labour,
  • Foreign Trade,
  • Money and Banking,
  • Inflation

Important Links

UPSC IES ISS Recruitment 2024 Click Here
UPSC Official Calendar Click Here
UPSC Official Website Click Here
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FAQs Related to UPSC IES ISS Syllabus 2024

Question: Is there any negative marking in the UPSC Indian Statistical Services  Exam?

Answer: Yes, there will be a negative marking of 0.33 for every incorrect response in the Objective type Paper.

Question: Will there be any marks deduction if the handwriting is not easily understood by the examiner?

Answer: The examiner may deduct marks if the handwriting is not easily understood. No marks will be given for superficial (slight) knowledge.

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