Exclusive Careers360 Premium Content

Get education, career guidance; live webinars; learning resources and more

Subscribe Now

Latest Update for UPSC IES ISS

Stay up-to date with UPSC IES ISS News

Get Updates

About UPSC IES ISS 2024

UPSC IES/ISS 2024 - The UPSC IES/ISS application form window has closed on April 30, 2024 and the application form correction window is  opened. The IES/ISS 2024 application form correction window will last until May 7, 2024. The Commission released the UPSC IES/ISS notification 2024 on April 10 at upsc.gov.in. Along with the notification, the commission also released the UPSC IES/ISS application form 2024.

UPSC IES/ISS 2024 exam is scheduled to be conducted on June 21, 2024. Candidates must be 21 to 30 years of age to be eligible to appear for UPSC IES/ISS exam. To apply for the Junior Time Scale in Indian Economic Service, candidates must be post-graduate in Applied Economics/ Econometrics /Economics/ Business Economics/ from a University or Foreign University approved by the Central Government.

Candidates applying for Indian Statistical Service must have a bachelor's degree or Master's degree with Mathematical Statistics/Applied Statistics/Statistics/ as one of the subjects from a University or equivalent. The written exam for Indian Economic Service and Indian Statistical Service is conducted separately. Candidates who qualify the written exam will be called for Viva-voce. The allotment of various posts of IES/ISS will be done on the basis of candidates’ performance in written exam and Viva-voce/Interview.

About UPSC IES/ISS

UPSC conducts UPSC IES/ISS exam for the recruitment of Junior Time Scale in Indian Economic Service and Indian Statistical Service. The selection process of UPSC IES/ISS is done in 2 stages- written exam followed by Viva-voce or Interview.

UPSC IES ISS 2024 Highlights

Full Exam NameUPSC Indian Economic Service/Indian Statistical Service Exam
Short Exam NameUPSC IES ISS
Conducting BodyUnion Public Service Commission
Frequency of ConductOnce a year
Exam LevelNational Level Exam
LanguagesEnglish
Mode of ApplicationOnline
Application Fee (General)200 Rs [Offline] +1 More
Mode of ExamOffline
Number of Seats48 Seats

Download all details about UPSC IES ISS 2024

Download Brochure

UPSC IES ISS 2024 Important Dates

Upcoming Dates and Events

01 May, 2024 - 07 May, 2024

Application Correction | Mode: Online Ongoing

21 Jun, 2024

Exam | Mode: Offline

Past Dates and Events

10 Apr, 2024 - 30 Apr, 2024

Application | Mode: Online

10 Apr, 2024

Advertisement | Mode: Online

UPSC IES ISS 2024 Eligibility Criteria

Candidates must check the eligibility criteria to be eligible to appear for UPSC IES/ISS.

Post Name

Age Limit

Educational Qualification

Junior Time Scale in Indian Economic Service


21 to 30 years of age

Post Graduation degree  in Applied Economics/ Economtrics /Economics/ Business Economics/ from a University or Foreign University approved by the Central Government

Junior Time Scale in  Indian Statistical Service

Bachelor's degree or Master's degree with Mathematical Statistics/Applied Statistics/Statistics/ as one of the subject from a University or Foreign University approved by the Central Government

Nationality

Candidates applying for UPSC IES/ISS must be

  1. an Indian citizen, or Tibetan refugee ( before January 1962), or a subject to Nepal or Bhutan, or

  2. Migrants from Pakistan, Burma, the United Republic of Tanzania, Zambia, Malawi, Zaire and Ethiopia or Vietnam Sri Lanka and East African Countries of Kenya, Uganda, with the intention of permanently settling in India with certificates of eligibility issued by Government of India.

UPSC IES ISS 2024 Application Process

Mode of Application : Online

Mode of Payment : Net Banking | Credit Card | Debit Card | Other

The UPSC IES/ISS 2024 application form has been released on April 10, 2024. Candidate can fill and submit the application form of UPSC IES/ISS 2024 till April 30, 2024. The application fee of UPSC IES/ISS is Rs. 200 for General and OBC candidates while Persons with Benchmark Disability/SC/Female/ST candidates are exempted from fee payment.

Candidates can choose the mode of payment either online or offline through SBI challan or net banking or by using Debit Card/Master/RuPay/Visa/ Credit card. Candidates also have to fill the details of any one photo identity proofs like Aadhar Card/Driving LicensePAN Card/Voter Card/Passport.

Steps to fill the UPSC IES/ISS Application form

To know the steps to fill the online application form of UPSC IES/ISS check the steps given below.

  • Open the UPSC official website - upsc.gov.in.

  • Click on the ‘Apply Online link’ available on the web page.

  • Online One-Time Registration (OTR)- If the applicants are not completed the One Time Registration, They have to complete it by providing some basic details such as personal and contact details.

  • Login by using valid login credentials Email ID and OTP/Password or Mobile number and  OTP/Password or OTR ID and OTP/Password.

  • Candidates have to fill out the UPSC IES/ISS 2024 application form in two parts which include filling in other details, fee payment, uploading of scanned documents, signature, photo identity card document and selection of preferred exam centre.

  • Check all the details furnished in the UPSC IES/ISS application form 2024 thoroughly and edit the details if needed.

  • Once submitted, Applicants will not able to make changes in their UPSC IES/IS application form 2024.

  • After submission, a registration number will be generated. Candidates have to download it as a pdf file and take a printout for future reference.

Specification of payment and payment gateway

Mode of payment

Payment gateway

Online

Visa/RuPay Credit/Master/Debit Card or net banking

Offline

Bank challan

Specifications of Documents

Document

Specification

Signature

20 kb to 300 kb

Photograph

20 kb to 300 kb

Documents Required While Filling UPSC IES/ISS Application Form

  • Active Email ID

  • Scanned Signature

  • Scanned photograph

  • One photo identity proof like Aadhar Card/Voter Card/PAN Card/Passport/Driving License

UPSC IES/ISS Detailed Application Form

The Detailed Application Form (DAF) of UPSC IES/ISS will be filled by the candidates who qualify the prelims exam. Candidates first have to register themselves and fill details including their name, roll number, email ID, date of birth and submit the UPSC IES/ISS detailed application form.

The login credential details will be sent to the email id provided by the candidates. To proceed further to fill the detailed application form, candidates will have to log in with the roll number and password generated and fill details including Personal, parental, educational, Employment information,  and upload the documents submit the application form.

Documents to be uploaded along with UPSC IES/ISS Detailed Application Form

  • Educational Qualification Certificates
  • Age Certificate
  • Category Certificate (for SC, ST, OBC candidates if applicable)

  • Certificate in support of claim for age/fee concession, where applicable

  • PH certificate (if applicable)

Application Fees

CategoryQuotaModeGenderAmount
OBC, GeneralOffline, OnlineMale₹ 200
Graduate Record Exam
Apply for GRE® Test now & save 10% with gift card | World's most used Admission Test for Graduate & Professional Schools
Test of English as Foreign La...
Thinking of Studying Abroad? Think the TOEFL® test. Save 10% on your TOEFL exam with ApplyShop gift cards!

UPSC IES ISS 2024 Syllabus

General English-

General English: Unit 01
Essay writing
General English: Unit 02
Understanding of English and workman like use of words
General English: Unit 03
Passages for summary or precis

General studies+

General studies: Unit 01
Knowledge of current events and of such matters of everyday observation and experience in their scientific aspects
General studies: Unit 02
Indian polity
Including the political system and the constitution of India
General studies: Unit 03
History of India and geography of a nature

General economics–I+

General economics–I: Unit 01
Theory of consumer’s demand
Cardinal utility analysis: Marginal utility and demand, consumer’s surplus, indifference curve, analysis and utility function, price income and substitution effects, Slutsky theorem and derivation of demand curve, revealed preference theory
Duality and indirect utility function and expenditure function, choice under risk and uncertainty
Simple games of complete information, concept of Nash equilibrium
General economics–I: Unit 02
Theory of production
Factors of production and production function
Forms of production functions: Cobb Douglas, CES and fixed coefficient type, translog production function
Laws of return, returns to scale and return to factors of production
Duality and cost function, measures of productive efficiency of firms, technical and allocative efficiency
Partial equilibrium versus general equilibrium approach
Equilibrium of the firm and industry
General economics–I: Unit 03
Theory of value
Pricing under different market structures, public sector pricing, marginal cost pricing, peak load pricing, cross-subsidy free pricing and average cost pricing. Marshallian and Walrasian stability analysis
Pricing with incomplete information and moral hazard problems
General economics–I: Unit 04
Theory of distribution
Neoclassical distribution theories; marginal productivity theory of determination of factor prices, factor shares and adding up problems
Euler’s theorem, pricing of factors under imperfect competition, monopoly and bilateral monopoly
Macro-distribution theories of Ricardo, Marx, Kaldor, Kalecki
General economics–I: Unit 05
Welfare economics
Interpersonal comparison and aggression problem, public goods and externalities, divergence between social and private welfare, compensation principle
Pareto optimality
Social choice and other recent schools, including Coase and Sen
General economics–I: Unit 06
Mathematical methods in economics
Differentiation and integration and their application in economics
Optimisation techniques, sets, matrices and their application in economics
Linear algebra and linear programming in economics and input-output model of leontief
General economics–I: Unit 07
Statistical and econometric methods
Measures of central tendency and dispersions, correlation and regression
Time series
Index numbers
Sampling of curves based on various linear and nonlinear function
Least square methods and other multivariate analysis (only concepts and interpretation of results)
Analysis of variance, factor analysis, principal component analysis, discriminant analysis
Income distribution: Pareto law of distribution, lognormal distribution, measurement of income inequality
Lorenz curve and gini coefficient
Univariate and multivariate regression analysis
Problems and remedies of heteroscedasticity, autocorrelation and multicollinearity

General economics–II+

General economics–II: Unit 01
Economic thought
Mercantilism physiocrats, classical, Marxist, Neoclassical, Keynesian and Monetarist schools of thought
General economics–II: Unit 02
Concept of national income and social accounting
Measurement of national income, inter relationship between three measures of national income in the presence of government sector and international transactions
Environmental considerations, green national income
General economics–II: Unit 03
Theory of employment, output, inflation, money and finance
The classical theory of employment and output and neo classical approaches
Equilibrium, analysis under classical and neo classical analysis
Keynesian theory of employment and output
Post Keynesian developments. the inflationary gap; demand pull versus cost push inflation, the Phillips curve and its policy implication
Classical theory of money, quantity theory of money
Friedman’s restatement of the quantity theory, the neutrality of money
The supply and demand for loanable funds and equilibrium in financial markets, Keynes’ theory on demand for money
IS-IM model and AD-AS model in Keynesian theory
General economics–II: Unit 04
Financial and capital market
Finance and economic development, financial markets, stock market, gift market, banking and insurance
Equity markets, role of primary and secondary markets and efficiency, derivatives markets; future and options
General economics–II: Unit 05
Economic growth and development
Concepts of economic growth and development and their measurement: Characteristics of less developed countries and obstacles to their development-growth, poverty and income distribution
Theories of growth: Classical approach-Adam Smith, Marx and Schumpeter-neo classical approach; Robinson, Solow, Kaldor and Harrod Domar
Theories of economic development, Rostow, Rosenstein-Rodan, Nurkse, Hirschman, Leibenstein and Arthur Lewis, Amin and Frank (dependency school) respective role of state and the market
Utilitarian and welfarist approach to social development and a.k. sen’s critique
Sen’s capability approach to economic development
The human development index
Physical quality of life index and human poverty index
Basics of endogenous growth theory
General economics–II: Unit 06
International economics
Gains from international trade, terms of trade, policy, international trade and economic development-theories of international trade; Ricardo, Haberler, Heckscher-Ohlin and Stolper-Samuelson-theory of tariffs-regional trade arrangements
Asian financial crisis of 1997, global financial crisis of 2008 and Eurozone crisis-causes and impact
General economics–II: Unit 07
Balance of payments
Disequilibrium in balance of payments, mechanism of adjustments, foreign trade multiplier, exchange rates, import and exchange controls and multiple exchange rates
IS-IM model and Mundell-Fleming model of balance of payments
General economics–II: Unit 08
Global institutions
UN agencies dealing with economic aspects, role of multilateral development bodies (MDBs), such as World Bank, IMF and WTO, multinational corporations
G-20

General economics–III+

General economics–III: Unit 01
Public finance
Theories of taxation: Optimal taxes and tax reforms, incidence of taxation
Theories of public expenditure: Objectives and effects of public expenditure, public expenditure policy and social cost benefit analysis, criteria of public investment decisions, social rate of discount, shadow prices of investment
Theories of public expenditure: Unskilled labour and foreign exchange
Budgetary deficits
Theory of public debt management
General economics–III: Unit 02
Environmental economics
Environmentally sustainable development, Rio process 1992 to 2012, green GDP, UN methodology of integrated environmental and economic accounting
Environmental values: Users and non-users values, option value
Valuation methods: Stated and revealed preference methods
Design of environmental policy instruments: Pollution taxes and pollution permits, collective action and informal regulation by local communities
Theories of exhaustible and renewable resources
International environmental agreements, Rio conventions
Climatic change problems
Kyoto protocol, UNFCCC, Bali action plan, agreements up to 2017, tradable permits and carbon taxes
Carbon markets and market mechanisms
Climate change finance and green climate fund
General economics–III: Unit 03
Industrial economics
Market structure, conduct and performance of firms, product differentiation and market concentration, monopolistic price theory and oligopolistic interdependence and pricing, entry preventing pricing
Micro level investment decisions and the behaviour of firms, research and development and innovation, market structure and profitability, public policy and development of firms
General economics–III: Unit 04
State, market and planning
Planning in a developing economy
Planning regulation and market
Indicative planning
Decentralised planning

Indian economics+

Indian economics: Unit 01
History of development and planning
Alternative development strategies-goal of self-reliance based on import substitution and protection, the post-1991 globalisation strategies based on stabilization and structural adjustment packages: Fiscal reforms
The post-1991 globalisation strategies based on stabilization and structural adjustment packages: Financial sector reforms and trade reforms
Indian economics: Unit 02
Federal finance
Constitutional provisions relating to fiscal and financial powers of the states, finance commissions and their formulae for sharing taxes, financial aspect of Sarkaria commission report, financial aspects of 73rd and 74th constitutional amendments
Indian economics: Unit 03
Budgeting and fiscal policy
Tax, expenditure, budgetary deficits, pension and fiscal reforms, public debt management and reforms, fiscal Responsibility and budget management (FRBM) act, black money and parallel economy in India-definition, estimates, genesis
Black money and parallel economy in India-consequences and remedies
Indian economics: Unit 04
Poverty, unemployment and human development
Estimates of inequality and poverty measures for India, appraisal of government measures, India’s human development record in global perspective
India’s population policy and development
Indian economics: Unit 05
Agriculture and rural development strategies
Technologies and institutions, land relations and land reforms, rural credit, modern farm inputs and marketing-price policy and subsidies; commercialisation and diversification
Rural development programmes including poverty alleviation programmes, development of economic and social infrastructure and new rural employment guarantee scheme
Indian economics: Unit 06
India’s experience with urbanization and migration
Different types of migratory flows and their impact on the economies of their origin and destination, the process of growth of urban settlements; urban development strategies
Indian economics: Unit 07
Industry: strategy of industrial development
Industrial policy reform; reservation policy relating to small scale industries
Competition policy, sources of industrial finances
Bank, share market, insurance companies, pension funds, non-banking sources and foreign direct investment, role of foreign capital for direct investment and portfolio investment, public sector reform, privatisation and disinvestment
Indian economics: Unit 08
Labour
Employment, unemployment and underemployment, industrial relations and labour welfare-strategies for employment generation-urban labour market and informal sector employment, report of National Commission on Labour
Social issues relating to labour e.g. child labour, bonded labour international labour standard and its impact
Indian economics: Unit 09
Foreign trade
Salient features of India’s foreign trade, composition, direction and organisation of trade, recent changes in trade, balance of payments, tariff policy, exchange rate, India and WTO requirements
Bilateral trade agreements and their implications
Indian economics: Unit 10
Money and banking
Financial sector reforms, organisation of India’s money market, changing roles of the Reserve Bank of India, commercial banks, development finance institutions, foreign banks and non-banking financial institutions, Indian capital market and SEBI
Development in global financial market and its relationship with indian financial sector
Commodity Market in India-spot and futures market, role of FMC
Indian economics: Unit 11
Inflation
Definition, trends, estimates, consequences and remedies (control): Wholesale price index
Consumer price index: Components and trends

Statistics-I+

Statistics-I: Unit 01
Probability
Classical and axiomatic definitions of probability and consequences
Law of total probability, conditional probability, Bayes' theorem and applications
Discrete and continuous random variables
Distribution functions and their properties
Standard discrete and continuous probability distributions-Bernoulli, uniform, binomial, Poisson, geometric, rectangular, exponential, normal, Cauchy, hyper geometric, multinomial, Laplace, negative binomial, beta, gamma, lognormal
Random vectors, joint and marginal distributions, conditional distributions, distributions of functions of random variables
Modes of convergences of sequences of random variables-in distribution, in probability, with probability one and in mean square
Mathematical expectation and conditional expectation
Characteristic function, moment and probability generating functions, inversion, uniqueness and continuity theorems
Borel 0-1 law, Kolmogorov's 0-1 law
Tchebycheff's and kolmogorov's inequalities
Laws of large numbers and central limit theorems for independent variables
Statistics-I: Unit 02
Statistical methods
Collection, compilation and presentation of data, charts, diagrams and histogram
Frequency distribution
Measures of location, dispersion, Skewness and Kurtosis
Bivariate and multivariate data
Association and contingency
Curve fitting and orthogonal polynomials
Bivariate normal distribution
Regression-linear, polynomial
Distribution of the correlation coefficient, partial and multiple correlation, intraclass correlation, correlation ratio
Standard errors and large sample test.
Sampling distributions of sample mean, sample variance, T, chi-square and F; tests of significance based on them, small sample tests
Non-parametric tests-goodness of fit, sign, median, run, Wilcoxon, Mann-Whitney, Wald-Wolfowitz and Kolmogorov-Smirnov
Order statistics-minimum, maximum, range and median
Concept of asymptotic relative efficiency
Statistics-I: Unit 03
Numerical analysis
Finite differences of different orders: ∆, E and D operators, factorial representation of a polynomial, separation of symbols, sub-division of intervals, differences of zero
Concept of interpolation and extrapolation: Newton Gregory forward and backward interpolation formula for equal intervals, divided differences and their properties, Newton's formula for divided difference, Lagrange’s formula for unequal intervals
Concept of interpolation and extrapolation: Central difference formula due to Gauss, Sterling, and Bessel, concept of error terms in interpolation formula
Inverse interpolation: Different methods of inverse interpolation
Numerical differentiation: Trapezoidal, Simpson’s one-third and three-eight rule and Waddles rule
Summation of series: Whose general term-(i) is the first difference of a function, (ii) is in geometric progression
Numerical solutions of differential equations: Euler's Method, Milne’s method, Picard’s method and Runge-Kutta method
Statistics-I: Unit 04
Computer application and data processing
Basics of computer: Operations of a computer, different units of a computer system like central processing unit, memory unit, arithmetic and logical unit, input unit, output unit, etc
Basics of computer: Hardware including different types of input, output and peripheral devices, software, system and application software, number systems, operating systems, packages and utilities, low and high level languages, compiler, assembler
Basics of computer: Memory-RAM, ROM, unit of computer memory (bits, bytes, etc), network-LAN, WAN, internet, intranet, basics of computer security, virus, antivirus, firewall, spyware, malware, etc
Basics of programming: Algorithm, flowchart, data, information, database, overview of different programming languages, frontend and backend of a project, variables, control structures, arrays and their usages, functions, modules, loops
Basics of programming: Conditional statements, exceptions, debugging and related concepts

Statistics-II+

Statistics-II: Unit 01
Linear models
Theory of linear estimation, Gauss-Markov linear models, estimable functions, error and estimation space, normal equations and least square estimators, estimation of error variance, estimation with correlated observations
Properties of least square estimators, generalized inverse of a matrix and solution of normal equations, variances and covariances of least square estimators
One way and two-way classifications, fixed, random and mixed effects models
Analysis of variance (two-way classification only), multiple comparison tests due to Tukey, Scheffe and Student-Newman-Keul-Duncan
Statistics-II: Unit 02
Statistical inference and hypothesis testing
Characteristics of good estimator: Estimation methods of maximum likelihood, minimum chi-square, moments and least squares. Optimal properties of maximum likelihood estimators. Minimum variance unbiased estimators. Minimum variance bound estimators
Characteristics of good estimator: Cramer-Rao inequality. Bhattacharya bounds. Sufficient estimator. Factorization theorem. Complete statistics. Rao-Blackwell theorem. Confidence interval estimation. Optimum confidence bounds
Characteristics of good estimator: Resampling, bootstrap and Jackknife
Hypothesis testing: Simple and composite hypotheses. Two kinds of error. Critical region. Different types of critical regions and similar regions. Power function. Most powerful and uniformly most powerful tests
Hypothesis testing: Neyman-Pearson fundamental lemma. Unbiased test. Randomized test. Likelihood ratio test. Wald's SPRT, OC and ASN functions. Elements of decision theory
Statistics-II: Unit 03
Official statistics
National and international official statistical system official statistics: (a) Need, uses, users, reliability, relevance, limitations, transparency, its visibility, (b) compilation, collection, processing, analysis and dissemination
National and international official statistical system official statistics: (b) Agencies involved, methods
National statistical organization: Vision and mission, NSSO and CSO; roles and responsibilities; important activities, publications, etc
National statistical commission: Need, constitution, its role, functions, etc; legal acts/ provisions/ support for official statistics; important acts
Index numbers: Different types, need, data collection mechanism, periodicity, agencies involved, uses
Sector wise statistics: Agriculture, health, education, women and child, etc, important surveys and census, indicators, agencies and usages, etc
National accounts: Definition, basic concepts; issues; the strategy, collection of data and release
Population census: Need, data collected, periodicity, methods of data collection, dissemination, agencies involved
Misc: Socio economic indicators, gender awareness/ statistics, important surveys and censuses

Statistics-III+

Statistics-III: Unit 01
Sampling techniques
Concept of population and sample, need for sampling, complete enumeration versus sampling, basic concepts in sampling, sampling and non-sampling error
Methodologies in sample surveys (questionnaires, sampling design and methods followed in field investigation) by NSSO
Subjective or purposive sampling, probability sampling or random sampling, simple random sampling with and without replacement, estimation of population mean, population proportions and their standard errors
Stratified random sampling, proportional and optimum allocation, comparison with simple random sampling for fixed sample size
Covariance and variance function
Ratio, product and regression methods of estimation, estimation of population mean, evaluation of bias and variance to the first order of approximation, comparison with simple random sampling
Systematic sampling (when population size (N) is an integer multiple of sampling size (n))
Estimation of population mean and standard error of this estimate, comparison with simple random sampling
Sampling with probability proportional to size (with and without replacement method), Des Raj and Das estimators for n=2, Horvitz-Thompson estimator, equal size cluster sampling: Estimators of population mean and total and their standard errors
Equal size cluster sampling: Comparison of cluster sampling with SRS in terms of intra-class correlation coefficient
Concept of multistage sampling and its application, two-stage sampling with equal number of second stage units, estimation of population mean and total
Double sampling in ratio and regression methods of estimation
Concept of interpenetrating sub-sampling
Statistics-III: Unit 02
Econometrics
Nature of econometrics, the 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, multicollinearity problem, its implications and tools for handling the problem, ridge regression
Linear regression and stochastic regression, instrumental variable estimation, errors in variables, autoregressive linear regression, lagged variables, distributed lag models, estimation of lags by OLS method, Koyck geometric lag model
Simultaneous linear equations model and its generalization, identification problem, restrictions on structural parameters, rank and order conditions
Estimation in simultaneous equations model, recursive systems, 2SLS estimators, limited information estimators, K-class estimators, 3 SLS estimator, full information maximum likelihood method, prediction and simultaneous confidence intervals
Statistics-III: Unit 03
Applied statistics
Index numbers: Price relatives and quantity or volume relatives, link and chain relatives composition of index numbers; Laspeyres, Paasches’, Marshal Edgeworth and Fisher index numbers; chain base index number, tests for index number
Index numbers: Construction of index numbers of wholesale and consumer prices, income distribution-Pareto and Engel curves, concentration curve, methods of estimating national income, inter-sectoral flows, inter-industry table, role of CSO
Index numbers: Demand analysis
Time series analysis: Economic time series, different components, illustration, additive and multiplicative models, determination of trend, seasonal and cyclical fluctuations. Time-series as discrete parameter stochastic process
Time series analysis: Autocovariance and autocorrelation functions and their properties. Exploratory time series analysis, tests for trend and seasonality, exponential and moving average smoothing. Holt and winters smoothing
Time series analysis: Forecasting based on smoothing
Detailed study of the stationary processes: (i) Moving average (MA), (ii) auto regressive (AR), (iii) ARMA and, (iv) AR integrated MA (ARIMA) models. Box-Jenkins models, choice of AR and MA periods. Discussion (without proof) of estimation of mean
Detailed study of the stationary processes: Autocovariance and autocorrelation functions under large sample theory, estimation of ARIMA model parameters. Spectral analysis of weakly stationary process, periodogram and correlogram analyses
Detailed study of the stationary processes: Computations based on Fourier transform

Statistics-IV+

Statistics-IV: Unit 01
Operations research and reliability
Definition and scope of operations research: Phases in operation research, models and their solutions, decision-making under uncertainty and risk, use of different criteria, sensitivity analysis
Transportation and assignment problems
Bellman’s principle of optimality, general formulation, computational methods and application of dynamic programming to LPP
Decision-making in the face of competition, two-person games, pure and mixed strategies, existence of solution and uniqueness of value in zero-sum games, finding solutions in 2x2, 2xm and mxn games
Analytical structure of inventory problems, EOQ formula of Harris, its sensitivity analysis and extensions allowing quantity discounts and shortages
Multi-item inventory subject to constraints
Models with random demand, the static risk model
P and Q-systems with constant and random lead times
Queuing models-specification and effectiveness measures
Steady-state solutions of m/m/1 and m/m/c models with associated distributions of queue-length and waiting time
M/G/1 queue and Pollaczek-Khintchine result
Sequencing and scheduling problems
2-machine n-job and 3-machine n-job problems with identical machine sequence for all jobs branch and bound method for solving travelling salesman problem
Replacement problems-block and age replacement policies
PERT and CPM-basic concepts
Probability of project completion
Reliability concepts and measures, components and systems, coherent systems, reliability of coherent systems
Life-distributions, reliability function, hazard rate, common univariate life distributions-exponential, Weibull, gamma, etc
Bivariate exponential distributions
Estimation of parameters and tests in these models
Notions of aging-IFR, IFRA, NBU, DMRL and NBUE classes and their duals
Loss of memory property of the exponential distribution
Reliability estimation based on failure times in variously censored life-tests and in tests with replacement of failed items
Stress-strength reliability and its estimation
Statistics-IV: Unit 02
Demography and vital statistics
Sources of demographic data, census, registration, ad-hoc surveys, hospital records, demographic profiles of the Indian census
Complete life table and its main features, uses of life table
Makeham and Gompertz curves
National life tables
Un model life tables
Abridged life tables
Stable and stationary populations
Measurement of fertility: Crude birth rate, general fertility rate, age specific birth rate, total fertility rate, gross reproduction rate, net reproduction rate
Measurement of mortality: Crude death rate, standardized death rates, age-specific death rates, infant mortality rate, death rate by cause
Internal migration and its measurement, migration models, concept of international migration
Net migration
International and postcensal estimates
Projection method including logistic curve fitting
Decennial population census in india
Statistics-IV: Unit 03
Survival analysis and clinical trial
Concept of time, order and random censoring, likelihood in the distributions-exponential, gamma, Weibull, lognormal, Pareto, linear failure rate, inference for these distribution
Life tables, failure rate, mean residual life and their elementary classes and their properties
Estimation of survival function-actuarial estimator, Kaplan-Meier estimator, estimation under the assumption of IFR/DFR, tests of exponentiality against non-parametric classes, total time on test
Two sample problem-Gehan test, log rank test
Semi-parametric regression for failure rate-Cox’s proportional hazards model with one and several covariates, rank test for the regression coefficient
Competing risk model, parametric and non-parametric inference for this model
Introduction to clinical trials: The need and ethics of clinical trials, bias and random error in clinical studies, conduct of clinical trials, overview of phase I-IV trials, multicenter trials
Data management: Data definitions, case report forms, database design, data collection systems for good clinical practice
Design of clinical trials: Parallel vs. cross-over designs, cross-sectional vs. longitudinal designs, review of factorial designs, objectives and endpoints of clinical trials, design of phase-I trials
Design of clinical trials: Design of single-stage and multi-stage phase-II trials
Design of clinical trials: Design and monitoring of phase-III trials with sequential stopping, reporting and analysis: Analysis of categorical outcomes from phase I-III trials, analysis of survival data from clinical trials
Statistics-IV: Unit 04
Quality control
Statistical process and product control: Quality of a product, need for quality control, basic concept of process control, process capability and product control, general theory of control charts, causes of variation in quality, control limits
Statistical process and product control: Sub grouping summary of out of control criteria, charts for attributes p chart, np chart, c-chart, V chart, charts for variables: R, ( X, R), (X, σ) charts
Basic concepts of process monitoring and control; process capability and process optimization
General theory and review of control charts for attribute and variable data; O.C. and A.R.L. of control charts; control by gauging; moving average and exponentially weighted moving average charts; Cusum charts using V-masks and decision intervals
Economic design of x-bar chart
Acceptance sampling plans for attributes inspection; single and double sampling plans and their properties; plans for inspection by variables for one-sided and two sided specification
Statistics-IV: Unit 05
Multivariate analysis
Multivariate normal distribution and its properties
Random sampling from multivariate normal distribution
Maximum likelihood estimators of parameters, distribution of sample mean vector
Wishart matrix-its distribution and properties, distribution of sample generalized variance, null and non-null distribution of multiple correlation coefficients
Hotelling’s T2 and its sampling distribution, application in test on mean vector for one and more multivariate normal population and also on equality of components of a mean vector in multivariate normal population
Classification problem: Standards of good classification, procedure of classification based on multivariate normal distributions
Principal components, dimension reduction, canonical variates and canonical correlation-definition, use, estimation and computation
Statistics-IV: Unit 06
Design and analysis of experiments
Analysis of variance for one way and two way classifications, need for design of experiments, basic principle of experimental design (randomization, replication and local control), complete analysis and layout of completely randomized design
Randomized block design and Latin square design, missing plot technique
Split plot design and strip plot design
Factorial experiments and confounding in 2n and 3n experiments
Analysis of covariance
Analysis of non-orthogonal data
Analysis of missing data
Statistics-IV: Unit 07
Computing with C and R
Basics of C: Components of C language, structure of a C program, data type, basic data types, enumerated data types, derived data types, variable declaration, local, global, parametric variables, assignment of variables, numeric, character
Basics of C: Real and string constants, arithmetic, relation and logical operators, assignment operators, increment and decrement operators, conditional operators, bitwise operators, type modifiers and expressions, writing and interpreting expressions
Basics of C: Using expressions in statements. Basic input/output
Control statements: Conditional statements, if-else, nesting of if-else, else if ladder, switch statements, loops in C, for, while, do-while loops, break, continue, exit ( ), goto and label declarations
Control statements: One dimensional, two dimensional, and multidimensional arrays
Storage classes: Automatic variables, external variables, static variables, scope and lifetime of declarations
Functions: Classification of functions, functions definition and declaration, assessing a function, return statement, parameter passing in functions. Pointers (concept only)
Structure: Definition and declaration; structure (initialization) comparison of structure variable; array of structures: Array within structures, structures within structures, passing structures to functions; unions accessing a union member
Structure: Union of structure, initialization of a union variable, uses of union. Introduction to linked list, linear linked list, insertion of a node in list, removal of a node from list
Files in C: Defining and opening a file, input-output operation on a file, creating a file, reading a file. Statistics methods and techniques in R

UPSC IES ISS 2024 Exam Pattern

Union Public Service Commission prescribed the exam pattern for UPSC IES and ISS. As per the exam pattern of IES (Indian Economic Service), all the questions are subjective in nature. All the question for all each subject in IES and ISS will be of Conventional type except Statistics Paper 1 and Statistics Paper 2. These 2 papers will be objective in nature.

UPSC IES Exam Pattern

All the questions asked in IES is in subjective in nature. Candidates will have to answer each paper in 3 hours.

Subject

Type of questions

Maximum Marks

Duration

General English

Subjective

100

3 hours

General Studies

Subjective

100

3 hours

General Economics 1

Subjective

200

3 hours

General Economics 2

Subjective

200

3 hours

General Economics 3

Subjective

200

3 hours

Indian Economics

Subjective

200

3 hours

UPSC ISS Exam pattern

As per the exam pattern of UPSC ISS, the questions asked in Statistics  1 and 2 will be of objective type. Each paper of UPSC IES will have 80 questions with maximum of 200 marks. The questions asked in Statistics 3 and 4 will be of the descriptive type with short answer and the long answer. It is compulsory for the candidates' short answer and one long answer question from each section. In Statistics paper 4, candidates have to choose any two sub-sections from the subsections available. All the subsection will have 50% weightage.

Subject

Type of questions

Maximum Marks

Duration

General English

Subjective

100

3 hours

General Studies

Subjective

100

3 hours

Statistics 1

Objective

200

2 hours

Statistics 2

Objective

200

2 hours

Statistics 3

Descriptive

200

3hours

Statistics

Descriptive

200

3 hours

UPSC IES ISS E-books and Sample Papers

UPSC IES ISS 2024 Admit Card

The exam authorities will release the UPSC IES ISS admit card 2024 online at upsc.gov.in. UPSC ISS/IES admit card can be downloaded by entering the registration ID or roll number and date of birth. Candidates who do not receive the admit card must inform the commission three weeks before the commencement of the examination.

The admit card contains details like exam centre, candidate’s name, signature, time, photograph, date and guidelines for the exam. Candidates who qualify written exam will be issued admit card for viva- voce.

The admit card card of UPSC IES/ISS is released separately for written exam and Viva voce online. The admit card of written exam is issued to only those candidates who fill the application form successfully.

Details printed on Admit card

UPSC IES/ISS admit card contains the following details:

  • Candidate’s roll number

  • Candidate’s name

  • Address of examination centre

  • Registration number

  • Candidate’s photograph

  • Reporting time

  • Category of the candidate

  • Candidate’s signature

  • Exam time

  • Date of examination

UPSC IES ISS 2024 Exam Centers

StateCity
GujaratAhmedabad
Uttar PradeshAllahabad
Lucknow
KarnatakaBangalore
Madhya PradeshBhopal
ChandigarhChandigarh
Tamil NaduChennai
DelhiDelhi
OdishaCuttack
TelanganaHyderabad
RajasthanJaipur
Jammu and KashmirJammu
West BengalKolkata
MaharashtraMumbai
BiharPatna
MeghalayaShillong
Himachal PradeshShimla
KeralaThiruvananthapuram

Documents Required at Exam

  • Admit card
  • Aadhar card
  • Voter id card
  • Passport
  • Driving License

UPSC IES ISS 2024 Result

UPSC will announce the result of UPSC IES/ISS 2024 in online mode. The roll number and names of qualified candidates for the written exam are mentioned in the pdf file. Only those candidates who qualify the written exam are eligible to appear for Viva-voce. The commission also releases the final result of the candidates who qualify the Viva-voce.

UPSC IES ISS 2024 Cutoff

Union Public Service Commission (UPSC) will release the cutoff separately for written exam and Viva-voce for IES and ISS. The commission will release the category-wise cutoff. The cutoff of UPSC IES/ISS will be released in 3 phases - minimum qualifying cutoff, cutoff for written exam and final cutoff.

UPSC IES Cutoff

As per previous year cutoff, candidates have to secure minimum qualifying marks fixed by the commission which was 15% for OBC and General category candidates. The cutoff for the written exam was calculated out of 800 marks for 4 Economics Papers. UPSC IES cutoff for all the 6 papers was calculated out of  1000. The final cutoff was based on marks obtained by the last recommended candidate and calculated out of 1200 marks.

UPSC ISS Cutoff

On the basis of previous year cutoff, the candidates have to secure minimum qualifying marks fixed by the commission. The minimum qualifying cutoff for General, OBC, ST and PH candidates were 10%. The marks of all four Statistics papers will be calculated out of 800 marks. For all 6 papers of ISS was calculated out of 1000 marks. The final cutoff of UPSC ISS was calculated out of 1200 marks.

Manipal University Online MBA
Apply
Apply for Online MBA from Manipal University
TOEFL ® Registrations 2024
Apply
Thinking of Studying Abroad? Think the TOEFL® test. Save 10% on your TOEFL exam with ApplyShop gift cards!
Manipal Online M.Com Admissions
Apply
Apply for Online M.Com from Manipal University
GRE ® Registrations 2024
Apply
Apply for GRE® Test now & save 10% with gift card | World's most used Admission Test for Graduate & Professional Schools
View All Application Forms

General Information

Questions related to UPSC IES ISS

1 Million+ Questions answered |Get answers within 24 hours Ask Now
Showing 6 out of 6 Questions
209 Views

Hi, Everyone, Can Master of commerce student apply for the Indian Economic Service ?

Aditya kumar singh 10th Sep, 2021
Hi
To apply for the Indian economic service the candidates must have obtained a Post Graduate Degree in Economics/Applied Economics/Business Economics/Econometrics from a recognized university or a foreign university approved by the Central Government of India from time to time.
Hope it helps...

231 Views

Will UIT-RGPV Bhopal provide good atmosphere to prepare for competitive exams like UPSC ESE (IES)?

Srikanth Sreeram 31st Aug, 2020

Hi aspirant

Yes, they create a good environment to prepare any kind of exams.

The college has vast books in the library and students can refer anything of their choice.

You will have peace of mind and focus towards the work in the library for a good preparation of UPSC ESE.

ALL THE BEST!!

580 Views

I am doing my B.Tech. From Computer science engineering, How tough it is to clear IES(upsc) exam, And which engineering Subject should I choose for preparing IES..... HELP ME

Raza Imam 21st Aug, 2020

IES is considered as one of the toughest examinations in India. It is due to the difficulty related to the examination and also the selection procedure. Thereare less number of posts and more number of aspirants for IES every year. Although IES is difficult, it can be achieved by proper plan and execution of result oriented study.

In view of the vast syllabus and tough competition in IES, only a few candidates can get good ranks in their very first attempt. Majority of the candidates get good ranks in their 2nd or 3rd or higher attempts.

In terms of branch selection, there is no preferable branch if you want to take up IES exam. Choose a branch in accordance with you interest areas and talent and can prepare for the exam as per the UPSC schedule.

Whatever your core branch is, a versatile approach towards engineering can enhance your chances to qualify this exam.Like any other UPSC exam, this one also needs a dedicated and strategic preparation of 16–18 hours a day.

1214 Views

Are MAKAUT university BSc+MSc data science graduate eligible to apply for RBI grade B DSIM/DEPR post? SSC CGL JSO and Complier post and UPSC ISS, IES post? Please mentioned other opportunities?

pallavi patil 23rd Jun, 2020

• Age Limit: The candidate must be 21 Years to 30 Years as on 01.04.2020 i.e. candidates must have been born between 02.04.1990 and 01.04.1999 (both dates inclusive)

• Educational Qualification: The candidate must be a graduate in any discipline from a recognized University or any equivalent qualification recognized as such by the Central Government. Those who are in the Final year/Semester of their Graduation may also apply provisionally subject to the condition that, if called for interview, they must produce proof of having passed the graduation examination on or before 01.07.2020. Candidates with Integrated Dual Degree (IDD) certificate must ensure that the date of passing the IDD is on or before 31.08.2020. Candidates with Chartered Accountant certification may also apply.

SBI PO Selection Procedure: Important Points

The candidates should keep in mind the following points related to the SBI PO selection process:

• Biometric Verification: To ensure an error-free and secure selection procedure for SBI PO 2020, the bank may digitally capture the thumb impression of the candidate. This is done to verify the genuineness of the candidates. Any inconsistency in the biometric verification will lead to rejection of the candidature and punitive legal actions. Candidates are thus advised not to apply any kind of external matter like ink, mehandi, chemical etc. on their hands.

• Number of Attempts: The maximum number of chances are fixed for each category. Candidates who have used up all the chances are not eligible to apply. Appearing in Preliminary Exam is not counted as an attempt but appearing in Mains Exam is counted.


All about Online MBADownload Brochure
Contact Number
Close
x

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books