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About
IES ISS is a national-level entrance exam that is conducted by the Union public service commission (UPSC) of India to recruit candidates to serve under various administrative domains of the Government of India. Indian Economic Services (IES) and Indian Statistical Services (ISS) exams are held annually in various Indian states.
Indian Economic Services (IES) and Indian Statistical Services (ISS) are placed under the Group A of Central civil services and are responsible for the formulation, and implementation of Economic Reforms in the nation along with the compilation of various statistics associated with different ministries of the Government of India.
Latest Notification
The date of the written IES/ISS exam was scheduled for June 24-26, 2022.
Registration
Steps to apply:
The process to apply for the IES ISS is mentioned in the below steps:
- Step 1: Candidates must register themselves on the official website of UPSC i.e., https://upsconline.nic.in/.
- Step 2: A registration ID and password will be sent to the valid registered email ID.
- Step 3: Candidates are required to fill out the online application form online by entering their credentials.
- Step 4: The online application form consists of two stages which have to be duly filled for the complete process.
- Step 5: Candidates need to submit the following documents for the IES ISS exam: candidate photograph, signature, any photo ID like an Aadhaar card, voter card, PAN Card, Passport, driving license, etc along with the application form.
- Step 6: After successfully uploading the required documents, candidates need to pay the application fees.
- Step 7: After successful completion of the application process, candidates can download the application form and take a printout of it for future reference.
Syllabus
UPSC ISS Syllabus
| General English |
|
| General Studies |
|
| 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 |
|
| General Studies |
|
| 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 |
Eligibility Criteria
Eligibility: Nationality
A candidate who wishes to apply must be Indian. Apart from Indian citizenship, the following citizenships are applicable:
- A subject of Nepal or Bhutan
- A Tibetan refugee who came over to India, before the 1st January 1962, to permanently settle in India
- 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.
Application Fee
| IES ISS Categories | IES ISS Application Fees |
|---|---|
| Male candidates/ OBC/ EWS | Rs. 200/- |
| Female candidates/ ST/ SC/Persons with Benchmark Disability | NIL |
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
Eligibilty Criteria
Eligibility: Nationality
A candidate who wishes to apply must be Indian. Apart from Indian citizenship, the following citizenships are applicable:
- A subject of Nepal or Bhutan
- A Tibetan refugee who came over to India, before the 1st January 1962, to permanently settle in India
- 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 |
|
| General Studies |
|
| 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 |
|
| General Studies |
|
| 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 |
