Use your knowledge and interest in quantitative methods and economics to meet the financial challenges of the 21st century.
| Application of advanced theoretical knowledge, statistical and econometric methods to solve concrete and current problems in finance. |
| Acquisition of portfolio management analysis and business diagnosis techniques. |
| Utilization of financial concepts (capital markets, financial asset valuation models) and applied mathematics (financial engineering, financial econometrics). |
| Development of skills for making recommendations in the field of market finance or corporate finance. |
| Research groups and chairs renowned in Canada and abroad. |
| French language courses and the Experience Quebec course can help international students integrate into the Quebec and Canadian job markets. This pathway is offered to most students who choose the supervised project stream. |
« Être impliqué dans les décisions d'allocation d'actifs et l'analyse de secteurs d'envergure pour le fonds d’investissement géré par les étudiantes et les étudiants a été très marquant. Les connaissances acquises me servent encore aujourd'hui. »
A credit is a unit used to assign a numerical value to the workload required for students to meet the objectives of a given course. One credit represents 45 hours of work. Courses in the Québec university system are generally worth three credits each.
The NBI Fund – HEC Montréal provides a group of students with the opportunity to invest 5 million dollars in a multi-asset portfolio (equities, bonds, alternative investments). This fund is one of the largest investment funds managed by students in Canada. It’s a unique opportunity to gain hands-on experience on top of academic training.
The National Bank Capital Markets trading room at HEC Montréal, supplied with real-time financial data and linked to the Bloomberg and Reuters information and analysis services, is like an actual trading room at a major financial institution.
Organizations trust the expertise acquired by students with this master’s degree. This is evidenced by examples of proposed supervised projects.
Are you looking to develop skills in analytical and quantitative techniques to support decision-making in an international context? Spend a term at one of the institutions in the prestigious QTEM network and earn your QTEM certification in quantitative technology in economics and management.
Positions held by program graduates:
Already started your program? Check your course list in HEC en ligne > Academic Progress
This specialization offers either a thesis or a supervised project stream, for a total of 45 credits over a period of 16 to 24 months.
Select a stream:
Introduction and review of principles of valuation; Corporate legal forms; separation of ownership and control; Project evaluation; estimating cash flows; risk and return
Capital Structure: Capital structure irrelevance and relevance Valuation with leverage; capital budgeting
Financing policy; Equity financing: IPOs and SEOs; Debt financing and leasing; Financing over the life-cycle ( Square Inc.: Financing a Unicorn )
Liquidity management: Cash management Payout policyWorking capital management
Corporate Governance; Agency conflicts; Board of directors; CEO compensation; Case study: The TELUS Share Conversion Proposal;
Event study analysis; Principles of event study analysis; Empirical applications
M&As; Mergers; Acquisitions; Case study: $19B 4 txt app WhatsApp...omg!
Preliminary concepts
Binomial model
Calculations with normal and lognormal distributions
Lognormal price model
Risk measures and other uses of Black-Sholes
Corporate application: corporate debt and default risk
Exotic options: pricing by simulation
Overview of derivative pricing models
Brownian Motion and Ito's Lemma
Risk-neutral process and forward pricing
The Black-Scholes equation
Financial disasters and derivatives: lessons from recent history
- Financial databases available at HEC Montréal.
- The empiricist workflow: from idea to reproducible research.
- Fundamental concepts in programming: variables types flow control debugging documentation an overview of scientific libraries and their use to calculate financial ratios and manipulation of financial data.
- Data visualization: Features of a good graph and choice of graph for the representation of financial data.
- Advanced programming for finance research: profiling object-oriented programming with use for yield curve estimation and portfolio allocation by numerical optimization.
- Common probability distributions (PDF CDF and their inverses).
- Random numbers generation and the use of density functions for estimation and visualization.
- Property of estimators confidence intervals and hypothesis tests.
- P-values p-hacking and ethics in empirical financial research.
- Nonparametric statistics.
- Simulations and bootstrapping method for statistical inference.
- Simulations of parametric models in finance.
- Common uses of linear regression.
- Panel methods in finance.
- Robust and clustered standard errors pooling and fixed effects.
- Asset pricing models: CAPM and APT PCA Futures Models Fama-MacBeth Fama-French and conditional factor models.
- Overfitting.
- AR and VAR models: specification model selection impulse response functions and applications in finance (variance decomposition Campbell-Shiller present value decomposition momentum trading tests of market efficiency).
- Forecast evaluation and combination (Diebold-Mariano and Giacomini-White).
- Probit logit and NLLS.
- Density forecasting and PIT tests.
- ML and QML Estimation
- Value at risk.
- Inference: delta method and likelihood ratio tests.
- Numerical optimization: an overview of popular algorithms constrained optimization and practical applications.
- GARCH volatility modeling: estimation and diagnosis.
- Event studies in finance.
- Penalized regressions (LASSO Ridge and ElasticNet).
- The emergence of Western modern society
- The model of modern Western society and its social and environmental implications
- The economic and social foundations of business organizations
- The individual and collective driving forces of business organizations
- The business organization in the face of major social and environmental challenges
All courses at another university must be pre-approved by the academic advisor for the specialization.
Before completing the 24-credit thesis, you must successfully complete 2 non-credit activities.
Responsible conduct of research (RCR): History and definitions
The values underlying the responsible conduct of research
Framing the responsible conduct of research
Responsible research conduct issues related to research contexts fields or methods
Research ethics
Good research data management
Conflicts of interest in research
Power issues in research
Dissemination of research results: good practices and issues
Societal impacts of research
Misconducts in research
If your previous training does not meet the requirements of the specialization, you will need to take one or more preparatory undergraduate courses. You have one year to take these courses, preferably at the start of your MSc studies.
- Bivariate Linear Model
- Multivariate Linear Model
- Specification and Functional Form
- Heteroskedasticity
- Autocorrelation
- Instrumental Variables
- Introduction to Panel Data
Introduction and review of principles of valuation; Corporate legal forms; separation of ownership and control; Project evaluation; estimating cash flows; risk and return
Capital Structure: Capital structure irrelevance and relevance Valuation with leverage; capital budgeting
Financing policy; Equity financing: IPOs and SEOs; Debt financing and leasing; Financing over the life-cycle ( Square Inc.: Financing a Unicorn )
Liquidity management: Cash management Payout policyWorking capital management
Corporate Governance; Agency conflicts; Board of directors; CEO compensation; Case study: The TELUS Share Conversion Proposal;
Event study analysis; Principles of event study analysis; Empirical applications
M&As; Mergers; Acquisitions; Case study: $19B 4 txt app WhatsApp...omg!
Preliminary concepts
Binomial model
Calculations with normal and lognormal distributions
Lognormal price model
Risk measures and other uses of Black-Sholes
Corporate application: corporate debt and default risk
Exotic options: pricing by simulation
Overview of derivative pricing models
Brownian Motion and Ito's Lemma
Risk-neutral process and forward pricing
The Black-Scholes equation
Financial disasters and derivatives: lessons from recent history
- Financial databases available at HEC Montréal.
- The empiricist workflow: from idea to reproducible research.
- Fundamental concepts in programming: variables types flow control debugging documentation an overview of scientific libraries and their use to calculate financial ratios and manipulation of financial data.
- Data visualization: Features of a good graph and choice of graph for the representation of financial data.
- Advanced programming for finance research: profiling object-oriented programming with use for yield curve estimation and portfolio allocation by numerical optimization.
- Common probability distributions (PDF CDF and their inverses).
- Random numbers generation and the use of density functions for estimation and visualization.
- Property of estimators confidence intervals and hypothesis tests.
- P-values p-hacking and ethics in empirical financial research.
- Nonparametric statistics.
- Simulations and bootstrapping method for statistical inference.
- Simulations of parametric models in finance.
- Common uses of linear regression.
- Panel methods in finance.
- Robust and clustered standard errors pooling and fixed effects.
- Asset pricing models: CAPM and APT PCA Futures Models Fama-MacBeth Fama-French and conditional factor models.
- Overfitting.
- AR and VAR models: specification model selection impulse response functions and applications in finance (variance decomposition Campbell-Shiller present value decomposition momentum trading tests of market efficiency).
- Forecast evaluation and combination (Diebold-Mariano and Giacomini-White).
- Probit logit and NLLS.
- Density forecasting and PIT tests.
- ML and QML Estimation
- Value at risk.
- Inference: delta method and likelihood ratio tests.
- Numerical optimization: an overview of popular algorithms constrained optimization and practical applications.
- GARCH volatility modeling: estimation and diagnosis.
- Event studies in finance.
- Penalized regressions (LASSO Ridge and ElasticNet).
- The emergence of Western modern society
- The model of modern Western society and its social and environmental implications
- The economic and social foundations of business organizations
- The individual and collective driving forces of business organizations
- The business organization in the face of major social and environmental challenges
You can either choose:
- Diffusion Models
- Black-Merton-Scholes Model
- Discrete Time Approach
- Replication of Derivatives
- Quasi-Analytical Models for American Options
- Exotic Options
- Numerical Methods
- Volatility Modeling
- Models with jumps
1. Introduction to rates zero coupon and swaps
2. Nelson-Siegel model and Risk Management
3. Risk-neutral valuation
4. Short term interest rate processes
5. Mortgage back securities and binomial approaches
6. Term structure of interest rate models
7. Options on interest rates
8. Fixed income securities and credit risk
Bank lending decisions
Loan contract design
Banking regulations and shadow banking
Mutual funds and hedge funds
Corporate governance shareholder voting and activism
Sell-side analyst coverage
Portfolio management
Exchange rate market
International financial markets
Exchange risk
Risk management
1. Introduction to portfolio management
2. Markowitz-style portfolio allocation - Theory
3. Markowitz-style portfolio allocation - Practice
4. Portfolio allocation à la Black-Litterman
5. Forecasting and machine learning and artificial intelligence (ML/AI) considerations in portfolio management
6. Long-term portfolio allocation à la Merton - Theory
7. Long-term portfolio allocation à la Merton - Practice
8. Factor investing - Theory
9. Factor Investing - Practical
10. Performance measurement
11. Environmental social and governance (ESG) in portfolio management
12. Delegated portfolio management
1) Consumption-saving decisions in a life-cycle model
2) Income shocks and income risk
3) Consumer credit
4) Mortgage borrowing
5) Portfolio choices and human capital
6) Behavioral biases
7) Financial literacy and education
8) Financial advice
9) Insurance decision
1. Insurance Demand
A. Individuals' demand for insurance; B. Corporate demand for insurance; C.Annuities and pensions.
2.The Insurance Company
A. The technology - Pooling of risks insurability ownership structure and distribution; B.Underwriting; C.Premium calculation; D. Accounting and reserving; E. Solvency and market discipline; F. Reinsurance and securitization.
3.Asymmetric Information
A. Models of asymmetric information; B. Empirical evidence of asymmetric information in insurance markets.
4.Special Topics
A. Pension plans B. Climate risk C.The value of a statistical life
Capital structure and CEO managing styles based on panel-data models
Agency problems based on potential outcomes
Investment competition and financing startup financing based on difference-in-differences
Debt maturity competition and investment based on matching methods
Payout policy and entrepreneurial finance based on regression discontinuity design
Financing decisions and analysts' forecasts based on event study analysis
Causality and the experimental ideal
Endogeneity
Longitudinal methods
Dichotomous and polychotomous choice models
Program and policy evaluation
Statistical Learning
Bank lending decisions
Loan contract design
Banking regulations and shadow banking
Mutual funds and hedge funds
Corporate governance shareholder voting and activism
Sell-side analyst coverage
1. Risk management: definition and historical development
2. Theoretical determinants of risk management in non-financial firms
3. Risk management and investment financing
4. Significant determinants of risk management of non-financial firms
5. Choice of hedging instruments and maturities in the oil industry
6. Value at risk: measurement implications and back-testing
7. CVaR or conditional VaR
8. Market risk VaR in portfolios with options
9. Regulation of bank risk and use of VaR
10. Bank credit risk: scoring of individual risks
11. Portfolio management of credit risk
12. Quantification of banks' operational risk 13. Liquidity risk
14. Structured finance risk management and financial crisis of 2007-2009
15. Risk management and corporate governance 16. Value of risk management
17. Optimal financial contracts and incentives for borrowers 18. Climate risk: measurement management and climate derivatives
18. Term structure of risk: forecasting and the calculation of VaR
1) capital formation and investment
2) evaluation of innovation projects and innovative companies
3) characteristics of financing structures and relationships with fund managers
4) risk analysis and management
5) ethical issues activism of VC fund managers and executive compensation.
1. Insurance Demand
A. Individuals' demand for insurance; B. Corporate demand for insurance; C.Annuities and pensions.
2.The Insurance Company
A. The technology - Pooling of risks insurability ownership structure and distribution; B.Underwriting; C.Premium calculation; D. Accounting and reserving; E. Solvency and market discipline; F. Reinsurance and securitization.
3.Asymmetric Information
A. Models of asymmetric information; B. Empirical evidence of asymmetric information in insurance markets.
4.Special Topics
A. Pension plans B. Climate risk C.The value of a statistical life
1. Introduction to rates zero coupon and swaps
2. Nelson-Siegel model and Risk Management
3. Risk-neutral valuation
4. Short term interest rate processes
5. Mortgage back securities and binomial approaches
6. Term structure of interest rate models
7. Options on interest rates
8. Fixed income securities and credit risk
Bank lending decisions
Loan contract design
Banking regulations and shadow banking
Mutual funds and hedge funds
Corporate governance shareholder voting and activism
Sell-side analyst coverage
1. Risk management: definition and historical development
2. Theoretical determinants of risk management in non-financial firms
3. Risk management and investment financing
4. Significant determinants of risk management of non-financial firms
5. Choice of hedging instruments and maturities in the oil industry
6. Value at risk: measurement implications and back-testing
7. CVaR or conditional VaR
8. Market risk VaR in portfolios with options
9. Regulation of bank risk and use of VaR
10. Bank credit risk: scoring of individual risks
11. Portfolio management of credit risk
12. Quantification of banks' operational risk 13. Liquidity risk
14. Structured finance risk management and financial crisis of 2007-2009
15. Risk management and corporate governance 16. Value of risk management
17. Optimal financial contracts and incentives for borrowers 18. Climate risk: measurement management and climate derivatives
18. Term structure of risk: forecasting and the calculation of VaR
1) Consumption-saving decisions in a life-cycle model
2) Income shocks and income risk
3) Consumer credit
4) Mortgage borrowing
5) Portfolio choices and human capital
6) Behavioral biases
7) Financial literacy and education
8) Financial advice
9) Insurance decision
Sustainable corporate finance
Corporate investment and environmental responsibility (game theory analysis tragedy of the commons).
The role of regulators in the transition to a low carbon economy; the market for carbon emissions rights.
Green and social bond issuance; social impact investment in private equity and venture capital.
Climate risk management
Methods to evaluate climate risk (scenario analysis).
Instruments to manage climate risk (weather derivatives the market for carbon trading) and their applications.
Corporate governance
Application of the difference-in-difference estimator and natural experiments to the concept of governance.
Incentives for a long-term perspective (executive compensation).
Responsibilities of the board of directors; diversity.
ESG Measures
Cross-sectional asset valuation models (the carbon premium).
ESG methodologies interpretation and limitations.
Demand for socially responsible funds.
Performance of sustainable investments
Factor models to assess the performance of ESG portfolios.
Sustainable investments and performance evaluation.
Green and social bonds and their performance.
All courses at another university must be pre-approved by the academic advisor for the specialization.
Before completing the 9-credit supervised project, you must successfully complete the non-credit activity.
Responsible conduct of research (RCR): History and definitions
The values underlying the responsible conduct of research
Framing the responsible conduct of research
Responsible research conduct issues related to research contexts fields or methods
Research ethics
Good research data management
Conflicts of interest in research
Power issues in research
Dissemination of research results: good practices and issues
Societal impacts of research
Misconducts in research
The supervised project in one of the following forms:
A mandate to intervene in an organization (making a diagnosis; Participating in the planning and implementation of management practices; Designing tools and models that can be used as the basis for decision-making; Performance analysis of an organisation's activities; Making recommendations on a problem).
A university mandate (1) the study of a case; 2) a specific search mandate; 3) an expert opinion; 4) an entrepreneurial project).
If your previous training does not meet the requirements of the specialization, you will need to take one or more preparatory undergraduate courses. You have one year to take these courses, preferably at the start of your MSc studies.
- Bivariate Linear Model
- Multivariate Linear Model
- Specification and Functional Form
- Heteroskedasticity
- Autocorrelation
- Instrumental Variables
- Introduction to Panel Data
International applicants
Apply in fall term to allow more time to obtain immigration documents (minimum 2 months). Please note, however, that it is possible to defer your admission to the following term free of charge if the deadlines are extended.
Select the education system in which you studied:
You must hold an undergraduate degree of at least 90 credits (bachelor's degree) in business administration or in a related field, or a degree deemed equivalent by the program administration.
The following fields of study are prioritized: actuarial science, economics, finance, engineering, and mathematics.
You must have earned GPA of at least 3.0 out of 4.3 for your undergraduate degree. If the university in which you completed this degree requires a higher GPA for admission to a graduate program, this is the average to take into account.
You have the required level of English if you meet one of the criteria showing that you are an English speaker by virtue of your education.
Otherwise, you must pass an English test or complete an English program with a level of intermediate-advanced.
You will need to provide documents as part of the admission process.
Capacity is limited for certain programs. HEC Montréal does not guarantee that all eligible applicants will be accepted.
You must hold at least a general Licence degree or a State-recognized bachelor's degree after at least 3 years of university studies (180 ECTS) in management or a related field.
Not eligible:
The following fields of study are prioritized: actuarial science, economics, finance, engineering, and mathematics.
You must have earned an average of at least 12 out of 20 for all years of university studies.
You must pass one of the admission tests (TAGE MAGE, GMAT, GRE) before the deadline to apply for admission to a program. Certain tests are offered online.
Admission tests are compulsory unless, at the time you submit your application, you have successfully completed at least 45 credits of a Canadian undergraduate degree or at least 30 credits of a Canadian graduate degree. No exemption is granted on any basis other than for studies done in Canada.
You have the required level of English if you meet one of the criteria showing that you are an English speaker by virtue of your education.
Otherwise, you must pass an English test or complete an English program with a level of intermediate-advanced.
You will need to provide documents as part of the admission process.
Capacity is limited for certain programs. HEC Montréal does not guarantee that all eligible applicants will be accepted.
You must hold a State-recognized university degree that provides access to a master's program at the home university (180 ECTS) in management or a related field.
Not eligible: bachelor’s or License degrees including a technical degree (BTS, DTS, or DUT).
The following fields of study are prioritized: actuarial science, economics, finance, engineering, and mathematics.
You must have earned an average of at least 12 out of 20 or a comparable average for all years of university studies according to the country’s grading system.
You must pass one of the admission tests (TAGE MAGE, GMAT, GRE) before the deadline to apply for admission to a program. Certain tests are offered online.
Admission tests are compulsory unless, at the time you submit your application, you have successfully completed at least 45 credits of a Canadian undergraduate degree or at least 30 credits of a Canadian graduate degree. No exemption is granted on any basis other than for studies done in Canada.
You have the required level of English if you meet one of the criteria showing that you are an English speaker by virtue of your education.
Otherwise, you must pass an English test or complete an English program with a level of intermediate-advanced.
You will need to provide documents as part of the admission process.
Capacity is limited for certain programs. HEC Montréal does not guarantee that all eligible applicants will be accepted.
The amounts below are approximate. For the detailed amounts per credit or per term, see the tuition fee schedule for the thesis stream (PDF, 109 Kb) or the supervised project stream (PDF, 105 Kb). These amounts do not include the cost of health insurance, course materials, housing, or other expenses.
Each term, you will receive a bill with the exact amount you owe based on your credit load.
Fees are calculated per term for the thesis stream and per credit for the supervised project stream.
You pay the Quebec rate if you are a resident of Quebec according to certain criteria, such as having a Quebec birth certificate or a Québec Selection Certificate.
Total cost of a 45-credit program at full time
See if you meet one of the Quebec residence criteria.
You pay the Canadian rate if you are a citizen by birth or naturalization, an Indigenous person, or a permanent resident of Canada.
Total cost of a 45-credit program at full time
See whether you can receive an exemption and pay the Quebec rate.
Through an agreement between governments, you are eligible for an exemption allowing you to pay the Quebec rate instead of the international rate.
Total cost of a 45-credit program at full time
Check the conditions you must meet to receive this exemption.
You pay the international rate if you are from a country outside Canada. There is no exemption for your situation.
Total cost of a 45-credit program at full time
See whether you can receive an exemption and pay the Quebec or Canadian rate.
To ensure the proper rate is applied, you may need to provide documents proving your legal status once you have been admitted.
Every year, HEC Montréal awards close to $1.6 million in scholarships and other forms of awards to M.Sc. students. What a great way to help finance your studies!
These scholarships, worth from $2,000 to $10,000, are awarded by the MSc in Administration program office to the top candidates admitted, based on their academic record at the time of admission.
There are no applications to be completed; successful candidates will be notified by e-mail.
Federal and Quebec government granting agencies award scholarships worth $20,000 and $27,000 to students with an excellent average and who wish to pursue their studies at the Master’s level.
Social Sciences and Humanities Research Council of Canada (SSHRC)
Annual $27,000 scholarships for students in all specializations except Financial Engineering, Data science and business analytics and Business Intelligence.
Deadline: December 1st every year
Natural Sciences and Engineering Research Council of Canada (NSERC)
Annual $27,000 scholarships for students in the Financial Engineering, Data science and business analytics and Business Intelligence specializations.
Deadline: December 1st every year
Fonds de recherche du Québec – Société et culture (FRQSC)
Annual $20,000 scholarships, awarded for two years, for students in all specializations except Financial Engineering, Data science and business analytics and Business Intelligence.
Deadline: Usually during the 2nd week of October
Fonds de recherche du Québec – Nature et technologie (FRQNT)
Annual $20,000 scholarships, awarded for two years, for students in the Financial Engineering, Data science and business analytics and Business Intelligence specializations.
Deadline: Usually during the 1st week of October
$15,000 scholarships awarded for a 4-6 months research internship in a company. Students in the supervised project or thesis streams are eligible for these scholarships.
Applications may be submitted at any time (ideally 3 months before the project begins)
Exemptions offered by HEC Montréal
HEC Montréal offers a number of differential tuition fee exemptions to international newly admitted in the thesis stream.
Agreement between the government of Québec and some forty countries
The Quebec government has agreements with some forty countries and a number of organizations, exempting students who come to study in the province from differential tuition fees. The quota depends on the student’s country of origin. Students must contact the persons responsible for managing this program in their home country.
For further information, see the page on exemptions from the diffrential tuition fees.