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Exam Highlights
  • Exam Name
    UPSC IES/ISS
  • Mode of Conduction
    Offline
  • Exam Frequency
    Once a year
  • Official Website
    www.upsc.gov.in
  • Total Marks
    The Round-I is Written Exam of 1000 marks The Round-II is Interview of 200 marks
  • Medium of the exam
    English
  • Marking Scheme
    negative marking of 0.33 for the incorrect answer in the Objective Paper.
Exam Dates
  • Start of Registration Process
    April 6, 2022
  • End of Registration Process
    April 26, 2022
  • Admit Card Release Date
    June 03, 2022
  • Declaration of Result
    August 2022
  • Exam Date
    Written: June 24-26, 2022
Eligibilty Criteria

Eligibility: Nationality

A candidate who wishes to apply must be Indian. Apart from Indian citizenship, the following citizenships are applicable:

  1. A subject of Nepal or Bhutan
  2. A Tibetan refugee who came over to India, before the 1st January 1962, to permanently settle in India
  3. A person of Indian origin who has migrated from Pakistan, Burma, Sri Lanka, East African countries of Kenya, Uganda, the United Republic of Tanzania, Zambia, Malawi, Zaire, Ethiopia, or Vietnam to permanently settle in India

Note: A candidate who is applying for this exam, must possess a certificate of eligibility issued by the Government of India.

Eligibility: Age limit and Relaxation

  • A candidate must have attained the age of 21 years and must not have attained the age of 30 years on August 01, 2020, i.e he/she must have been born not earlier than August 02, 1990, and not later than August 01, 1999
  • UPSC has prescribed age relaxations for the reserved categories. Here are the details:
Category Age relaxation
Scheduled Caste(SC) 5 years
Scheduled Tribe (ST) 5 years
A person who has ordinarily been domiciled in the State of Jammu & Kashmir during the period from January 1, 1980, to December 31, 1989 5 years
Defence Services Personnel disabled in operations during hostilities with any foreign country or in a disturbed area and released as a consequence thereof Up to 3 years
ex-servicemen including Commissioned Officers and ECOs/SSCOs who have rendered at least five years of Military Service as of August 1, 2020 Up to 5 years
A person with physical disabilities Up to 10 years

Eligibility: Academic Qualification

The minimum academic qualification to apply for the post of IES ISS 2022 are mentioned in the below points.

  • Candidates should have passed their Post-Graduate Degree in Economics/ Applied Economics/Business Economics/ Econometrics from a recognized University to apply for the post of Indian Economic Services (IES) exam.
  • To apply for Indian Statistical Services (ISS) exam candidates must have possessed a Bachelor's Degree in Statistics/Mathematical Statistics/Applied Statistics as one of the subjects from a recognized University or, have passed a Master's degree in Statistics/Mathematical Statistics/Applied Statistics from a recognized University.
Exam Pattern

The scheme of examination of UPSC IES ISS involves two rounds:

  • Round-I is a Written Exam of 1000 marks
  • Round-II is Viva voce or Interview of 200 marks

The exam pattern will make you aware of the subjects from which the questions will be asked in the written exam along with the marking scheme and time allotted to each subject. Here is the UPSC IES ISS Exam Pattern:

UPSC IES Exam Pattern

Subject Maximum Marks Duration
General English 100 3 hours
General Studies 100 3 hours
General Economics-I 200 3 hours
General Economics-II 200 3 hours
General Economics-II 200 3 hours
Indian Economics 200 3 hours

UPSC ISS Exam Pattern

Subject Maximum Marks Duration
General English 100 3 hours
General Studies 100 3 hours
Statistics-I(Objective) 200 2 hours
Statistics-II(Objective) 200 2 hours
Statistics-III(Objective) 200 3 hours
Statistics-I(Objective) 200 3 hours

Note :

  • Statistics I & II will be of Objective Type Questions (80 questions with maximum marks of 200 in each paper) to be attempted in 120 minutes.
  • Statistics III & IV will be of Descriptive Type having Short Answer/ Small Problems Questions (50%) and Long Answer and Comprehension problem questions (50%). At least one Short Answer and One Long Answer Question from each section are compulsory. In Statistics-IV, an equal number of questions i.e. 50% weightage from all the sub-sections below, and candidates have to choose any two subsections and answer.
  • The papers on General English and General Studies, common to both Indian Economic Service and Indian Statistical Service will be of the subjective type.
  • All other papers of Indian Economic Service will be of subjective type
Syllabus

UPSC 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, 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
Econometrics: 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, its 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
Statistics-IV
(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 the 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 attributes 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 the design of experiments, Basic principle of experimental design, Complete analysis and 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

In the written exam, there are six papers. Here are the topics that cover the syllabus of UPSC IES 2022 Syllabus:

Subject Topics
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

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