Executive-Friendly Program | High Impact Format

Key Highlights of IIT Kanpur e-Masters Degree

  • SelectionBased on academic and professional background and test, interview where necessary. No GATE required.
  • High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning.
  • Executive Friendly Schedule Learn while you earn, with the flexibility to complete the program between 1 - 3 years.
  • Career Advancement and Networking Support for placement and facilitation of incubation at IIT Kanpur's Incubation Centre.
  • IIT Kanpur Alumni Status Become an IIT Kanpur alumni with access to all the alumni privileges.
  • Credits Transfer Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.

Admission Process

  • Application
    Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection
    Application Review
    Interview
  • Admission

Class Start - January 2025

* Selection test differs for every programme

e-Masters in Applied Health Economics, Financing, and Policy Course Overview

The e-Masters in Applied Health Economics, Financing, and Policy. at IIT Kanpur is designed to tackle the complexities of the global healthcare sector. This e-Masters degree in Applied Health focuses on the unique challenges in India and other emerging health systems. Students will acquire multidisciplinary knowledge in economics, financing, and Applied Health, emphasizing health economics, systems, policies, and advanced computational skills.

The curriculum integrates theoretical foundations and empirical applications, covering health informatics courses and quantitative methods. Students will be equipped with tools for data analysis, interpretation, and decision-making. This program prepares graduates to manage healthcare systems effectively, addressing issues of access, quality, efficiency, and equity. Understanding economic and financial environments, including fiscal and monetary policies, will enable students to lead in the dynamic healthcare sector. This makes it a top choice for those seeking a master's degree in Applied Health Economics, Financing, and Policy.


Graduation Ceremony at IIT Kanpur Campus

Outcomes

  • Gain the Skills to Lead & Solve Complex
    Challenges in healthcare
  • Get an e-Masters Degree
    from IIT Kanpur
  • Become a part of IIT Kanpur's
    alumni network
  • Learn from a leading research
    faculty group
  • Receive mentorship and career support from
    the IIT Kanpur placement cell
  • Incubation support for promising
    startup initiatives
  • Opportunity to forge a meaningful network
    with diverse professionals

Faculty

Acquire knowledge from accomplished faculty members driving advancements in
Healthcare and policy transformation.


  • Sukumar Vellakkal
    Post-doc (Oxford University),
    PhD in Economics (ISEC),
    MSc in Health Economics and Policy (Erasmus University Rotterdam) & MA in Economics (Calicut)


    Research Expertise: Health Economics and Policy, Macroeconomic Policies and Health, Impact Evaluation
    More Details
  • Thirumulanathan D
    PhD (IISc, Bengaluru)

    Research Expertise: Game Theory, Mechanism Design, Optimization, Mathematical Economics, Machine Learning
  • Nisheeth Srivastava
    PhD (University of Minnesota)

    Research Expertise: Computational cognitive science, human factors in computing
  • Sanjeev Kumar
    Ph.D, IITH, India & Swinburne University of Technology, Australia.

    Research Expertise: macroeconomics, Macroprudential policy, systemic risk, the banking sector, and the open economy, Time series & Panel data.
  • Anna Thottappilly
    Ph.D., Cornell University,
    Assistant Professor, Department of Economic Science, IIT Kanpur


    Research Expertise: Agricultural Economics, Climate Change, Nutrition
  • Mohammad Arshad Rahman
    PhD (University of California, Irvine)
    Associate Professor, Department of Economic Sciences


    Research Expertise: Theoretical and Applied Econometrics: Bayesian Econometrics, Quantile and Discrete Choice Models, Applications to energy and environment
  • Sohini Sahu
    P.h.D, State University of New York, Albany, New York
    Associate Professor, Department of Economic Sciences

    Research Expertise: Macroeconomics

Guest Faculty

  • VR Raman
    Master's , Public Health, University of Western Cape, South Africa

    Research Expertise: Senior Policy Research Expert at ATREE, head of policy research at WaterAid India, Principal Fellow at Public Health Foundation of India.
  • Kabir Sheikh
    P.hD, Public Heatlh and Policy, LSHTM, UK,
    Professor of Global Health Systems and Policy,
    University College London, Global Business School for Health

    Research Expertise: Health Policy and Systems Research (HSPR), Health Systems Governance,
    the Health Workforce, Health Systems Strengthening, and Hpsr Approaches and Methods

e-Masters in Applied Health Economics, Financing, and Policy Curriculum

Dive into a comprehensive curriculum designed by experts at IIT Kanpur for the e-Masters in Applied Health Economics, Financing, and Policy. Blend theory with hands-on learning, gaining expertise in health economics and policy formulation through real-world case studies.

The e-Masters in Applied Health Economics, Financing and Policy consists of 12 core modules, Students must take all the core modules to fulfill the credit requirements for the program

  • Health Systems and Public Health
  • Microeconomics and Policy Applications
  • Macroeconomics and Economic Policies
  • Health Economics and Policy
  • Financial and Economic Environment
  • Applied Health Econometrics using R and Python
  • Evaluation of Health Programs and Policy
  • Health Analytics and Machine Learnings
  • Large Data Analysis
  • Public Finance and Policy
  • Health Insurance and Financing
  • Research Project

Detailed Curriculum

Immersive Learning Format

  • Live Interactive Sessions & Guest Lectures
  • Projects
  • Online Examination
  • Campus Visit
  • Online LIVE and self-paced sessions are delivered
    through AI-powered iPearl.ai
  • Live interaction as per the
    faculty availability
  • Apply learnings through projects while working in teams and
    establish a peer network
  • Final module-level exams will be
    conducted online
  • Opportunity to meet experts and experience the IITK campus
    during campus visits

Eligibility

  • Bachelor’s Degree (3- or 4-year program) or a Master’s Degree in the relevant discipline (Medicine/ public health/ statistics/ epidemiology/ Science/ Economics/ hospital administration / Commerce/ finance or related fields.) with at least 55% marks or 5.5/10 CPI
  • Minimum of 2 years of full time work experience (You need not be currently employed to be eligible).
  • Candidates with relevant experience in the healthcare sector will be preferred.
  • Understanding of the basics of statistics is necessary.

e-Masters in Applied Health Economics, Financing and Policy Fees

Application fee ₹1500 (to be paid during application submission)

Fee structure for candidates opting to complete the program in 1 year.

Details Amount
Registration Fee
To be paid within 1 week of selection
₹40,000
Admission Fee
To be paid to complete enrollment
₹1,60,000
Module Fee
To be paid at the beginning of every quarter based on no. of modules selected
(Total 12 Modules)
₹5,40,000
₹45,000 per module
Quarter Fee*
To be paid at the beginning of every quarter
₹60,000
₹15,000 per quarter
Total Fee ₹8,00,000

*For every additional quarter, fees of Rs 15,000 will be applicable.

For Example

Candidates opting to complete the program in 5 quarters need to pay an additional fee of ₹15,000

Candidates opting to complete the program in 11 quarters need to pay an additional fee of ₹1,05,000

All other fees remain the same.

Fees paid are non-refundable(after a certain time period) and non-transferable.

About IIT Kanpur

Established in 1959 by the Government of India, Indian Institute of Technology Kanpur (IIT Kanpur) is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.

  • Ranked 5th in Innovation, 4th in Engineering and 4th in Overall Category by NIRF 2024
  • Built on world-class academic research culture
  • Offers various undergraduate, post-graduate, integrated, and research programs in the field of engineering, science, management, and design
IIT Kanpur Online Masters Degree Courses

State-of-the-Art Digital Learning Platform

The e-Masters Program by IIT Kanpur will be delivered on iPearl.ai, a State-of-the-Art digital learning platform, powered by TalentSprint. iPearl.ai, highly rated for its user experience, is a direct-to-device platform that works seamlessly on any internet-connected device and provides a single-sign on experience for all your learning needs including recorded videos, reading material, live interactive sessions, assignments, quizzes, discussion forums, virtual lounges and more.

Frequently Asked Questions

The Compulsory Modules include

Health Systems and Public Health

  • Public Health and its determinants: an overview: Public Health: what it is and how it works, Public health history, philosophy and values, Determinants of health: socio, economic, political and cultural factors; environmental factors; biological and genetic factors; behavioral and psychological factors; globalization, Critical importance of evidence in advancing public health knowledge
  • Burdens and prevention of diseases and applications of epidemiology: Causes and trends of morbidity and mortality, The science of primary, secondary, and tertiary prevention in population health, Basic concept, and applications of epidemiology
  • Health Policies and Systems, and its performance Health Systems, Health Policies, WHO’s Health Systems Building Blocks Framework, Complex and Mixed Health Systems, Discrete components of performance vs. composite scores/rankings, Systems theory: the environment/ context of healthcare system functionshistory, culture, and politics on shaping and informing healthcare policies and systems
  • Understanding the Concept and Practices of Universal Health Coverage UHC Concepts, Strategies and pathways to UHC, Country experiences and lessons for India: Thailand, China, Brazil.
  • Health Systems and Policies: Indian Scenario: Burden of Communicable and non-communicable diseases, Maternal and child health situation and other key health challenges, Health systems situation in India, Central and state missions, Programs and policies for health, Structure of public and private health care system, Water, Sanitation and Nutrition initiatives for health, Union and state budgets for health, Financing for health: PM-JAY and state level schemes, State of health systems data and evidence, Regulatory arrangement for health systems

Microeconomics and Policy Applications

  • Fundamentals of Market Economy: Need for choice in decision making, Basic principles of economics, Laws of demand and supply, Price determination, Consumer and producer surplus, Price controls, Elasticity
  • Consumer Choice: Utility theory, Indifference curves and budget constraint, Optimizing conditions
  • Theory of Production and Cost: Economic versus accounting measures of cost and profit; Law of production, Revenue, Cost, and Profit functions, Isoquant and Isocost, Optimizing conditions; Breakeven analysis and the shutdown rule
  • Types of Market: Perfect competition, Monopoly, Oligopoly, Monopolistic competition, Price and output determination, Strategic decision making in oligopoly markets, Advanced pricing techniques
  • Welfare Analysis: Welfare analysis: market regulation and health sector, Welfare loss in imperfect competitive markets
  • Externalities and Market Regulation: Positive and negative externalities and population health, Externality taxes, Regulation of externalities, Public goods and the risk of free rider problem, Limitations of market regulation

Macroeconomics and Economic Policy

  • Macroeconomic Concepts: An overview of macroeconomic environment and health; National income accounting and health accounting; Inflation measurement methods: CPI, GDP deflator and healthcare inflation; Money: functions and measures
  • Macroeconomic Equilibrium: Business cycles, Macroeconomic equilibrium though various schools of thought, Inflation-unemployment trade-off
  • Policy Effects: Fiscal and monetary policy effectiveness, Trickledown effects, and development goals
  • Economic Policy: Tools of monetary and fiscal policy, Central banking, Credit creation and money multiplier, Strategies and tactics of monetary policy: interest rate versus monetary aggregate targeting; Inflation targeting and international experiences; Macroeconomics policies and health sector
  • Foreign Sector: Balance of Payments Account and Exchange Rate Systems; Bretton woods system, Foreign aid, IMF and international liquidity

Health Economics and Policy

  • Overview and Demand for Health: Uniqueness of health sector and market, Role of economics in healthcare, Demand for health; determinants of healthcare demand, Consumer choice and demand
  • Supply of Healthcare: Healthcare production and technology, Healthcare providers and their behavior, Market structure in healthcare, Healthcare cost measurement, Cost drivers in healthcare,
  • Healthcare Markets and Managed Care: Market failures in healthcare, asymmetric information ad agency, Government intervention in healthcare, Antitrust policy and healthcare Regulated competition, Managed care organizations, Provider payment mechanisms, Managed care theories and relevance for policy
  • Inequality, Equity, Efficiency, and Need: Equity Analysis: Measuring, decomposing, and explaining inequalities in health, Equity in distribution and delivery of health; Efficiency analysis: Data Envelope Analysis-theory and applications
  • Theory and Principles of Economic Evaluation: Theoretical foundations of economic evaluation, Cost-Benefit Analysis, Cost-Effectiveness Analysis, Cost-Utility Analysis
  • Economic Evaluation: Monetary Valuation of Health: Non-monetary Valuation of Health: QALY, DALY & HLYE, Costing, Discounting & Evaluation under Uncertainty

Financial and Economic Environment

  • Finance environment: Direct and Indirect finance, financial institutions, instruments and markets
  • Debt and equity market: Bond markets; interest rates and its determination, basic theories of interest rate; credit ratings; sovereign ratings and public health spending; equity pricing
  • Financial institutions Banking, insurance, mutual funds and pension funds, Regulation of Financial markets
  • Future and Option contracts Futures contracts, futures and leveraged speculation, future price in relation to current spot price, nature of option trading, price discovery, hedging. Index futures, future trading platforms, equity index basis, trading strategies
  • Demand for insurance and pricing strategy Nature of general insurance-classification-effects of different marketing strategies. Uncertainty, risk aversion, and insurance, comparing insurance contracts. Insurance cost and fair premium, life insurance and annuities. Basic methods for rating, reserving, financial planning, assets, and liability position
  • Healthcare financial management: Finance management in hospital, insurance companies, pharmaceuticals
  • Financial statements analysis Objective and Technique of financial statement analysis, meaning and usefulness of financial ratios, analysis of financial ratios, profitability ratios, solvency ratios, liquidity ratios

Applied Health Econometrics using R and Python

  • Introduction to R and Python: Introduction to Python
  • Basic statistical methods: Types of data, descriptive statistics, graphical analysis, sampling and sampling distribution, interval estimation, hypothesis testing and statistical inference
  • Simple and Multiple Linear Regression: Assumptions, diagnostics, specifications, and forecasts
  • Limited Dependent Variable Regression: LPM, Logit, Probit, Tobit with the ordered, multinomial, and nested variants, count data models and their applications in health data analysis. Nonparametric methods
  • Panel Data Modelling: Basics of panel data modelling – fixed and random effects and GMM
  • Multilevel Modelling: Mixed effects models, Random intercept, and random coefficient models in applied health econometrics

Evaluation of Health Programs and Policy

  • Introduction: Health programs and policies, Process and outcome evaluation, Program logic models, and evaluation framework
  • Evaluating program and policy impacts: Theory of change, Endogeneity concerns and identification strategies, Randomised field experiments, Internal and external validity
  • Quasi-experimentalapproaches: Application of IVs and LATE, RDD; DiD, Matching methods, Recent developments
  • Impact of population level policy interventions: Interrupted time-series, Event study analysis, applications in alcohol and tobacco control policies
  • Evidence-based policy formulation: Contextualizing the research inferences, ATT and ITT in various health policy goals contexts

Health Analytics and Machine Learnings

  • Introduction & Electronic Health Records: Introduction to data analytics and informatics in healthcare, Healthcare performance metrics, Electronic Health Records (EHR) systems, Networking, Interoperable HIT, Health Information Exchange
  • Data mining: Mining of Sensor Data in Healthcare, Information Retrieval for Healthcare, Clinical Decision Support Systems, Natural Language Processing, Data Mining for Clinical Text
  • Health Data Management: Data collection, storage, and retrieval in healthcare settings. Data standards and interoperability. Data privacy and security in healthcare
  • Machine Learning in Healthcare Data Analysis (using Python): Machine learning methods, Statistical analysis of health data, Predictive modelling, and machine learning in healthcare
  • ML approaches: Linear Regression, Clustering, Classification methods and Resampling, Decision trees, Deep learning, Support vector machine
  • Applications of ML: Survival Analysis and Censored Data, Unsupervised Learning

Large Data Analysis

  • Handling Large Data: Familiarization and handholding with unit level publicly available data sets
  • Data Management: Data management, data extraction, coding and decoding variables, value labelling, graphical analysis, statistical analysis
  • Repeated Cross-sectional Data Analysis: Building panel data from repeated cross-sectional data from NSSO and NFHS; Basic statistical analysis
  • Cohort Data Analysis: Analyzing cohort data sets (IHDS, DFID YL, UNICEF, and WHO SAGE data)
  • Data Replication: Replication of a published research paper

Public Finance and Policy

  • Tools of public finance: Why public finance, size and growth of governments, Theoretical tools and social welfare maximization, Empirical tools
  • Budget Analysis and Deficit Financing: Budget process, Fiscal deficit, and public debt, measuring the budgetary position, Importance of government fiscal position
  • Taxation in Theory and Practice: Type of taxes; Measuring the fairness in taxation, Principles and Theories of taxation; Tax incidence and equity implications; Optimal taxation, Taxes on labor supply, savings, risk taking, wealth and business income
  • Externalities and Public Goods Externality theory, private and public sector solutions, Public Goods, Public Choice: Mechanisms and Dilemmas, Cost-benefit analysis
  • Social insurance and distribution: Social insurance, Social security, Unemployment insurance, Health insurance, Income inequality and government transfer program
  • Indian Public Finance: Fiscal Federalism, Finance commission: Revenue Sharing Formula Design, Indian budget and health

Health Insurance and Financing

  • Introduction: Healthcare financing models, OECD and WHO frameworks, Developing a health financing strategy, Equity in Finance
  • Organization of Health Insurance Markets: Insurance principles, Types of health insurance, Limits of insurance, Benefits package design
  • Demand for Health Insurance: Theories of insurance demand, Market failure in insurance market: adverse selection and cherry picking, and moral hazard
  • Supply of Health Insurance: Supply side and control of healthcare utilization, Managed care and claim payment
  • Social Health Insurance: SHI models in OECD and LMICs settings, Managed competition, Towards competitive health insurance markets
  • Provider Payment Mechanism: Prospective vs. retrospective, Aggregate vs. disaggregated units, Common provider payment mechanisms, Relevance of managed care
  • Indian Health Insurance Market: Structure of Indian health insurance market: social, voluntary and community health insurance models, TPAs, Regulations

Research Project

  • Research Project: Research theme from health sector