Elective Courses in Advanced Quantitative Methods
Elective Courses in Advanced Quantitative Methods
2018-2024
(Note: This list needs to be updated annually.)
BUSN 36906 Stochastic Processes
BUSN 36912 Stochastic Optimization
BUSN 37904 Advanced Quantitative Marketing
BUSN 37906 Applied Bayesian Econometrics
BUSN 37907 Behavioral Science Research Methods in Marketing
BUSN 40206 Healthcare Business Analytics
BUSN 41917 Causal Machine Learning
BUSN 41918 Data, Learning, and Algorithms
BUSN 41100 Applied Regression Analysis
BUSN 41201 Big Data
BUSN 41202 Analysis of Financial Time Series
BUSN 41203 Financial Econometrics
BUSN 41204 Machine Learning
BUSN 41207 Causal Inference for Business Applications
BUSN 41210 Financial Analytics [open only to Booth Students]
BUSN 41305 Statistical Insight into Entrepreneurial Quantitative Consulting with Wide Business Applications
BUSN 41600/ECPN 51400 Econometrics and Statistics Colloquium
BUSN 41903 Applied Econometrics
BUSN 41910/STAT 33500 Time Series Analysis for Forecasting and Model Building
BUSN 41912 Applied Multivariate Analysis
BUSN 41913 Bayesian Inference
BUSN 41914 Multivariate Time Series Analysis
BUSN 41916 Bayes, AI and Deep Learning
BUSN 41918 Data, Learning, and Algorithms
CHDV 30102/MACS 50100/PBHS 43201/SOCI 30315/STAT 31900 Introduction to Causal Inference
CHDV 32411/CCTS 32411/PBPL 29411/PSYC 32411/SOCI 30318/STAT 33211 Mediation, Moderation, and Spillover Effects
ECMA 33220 Introduction to Advanced Macroeconomic Analysis
ECMA 33221 Intro to Advanced Macroeconomic Analysis II
ECON 31000 Empirical Analysis I
ECON 31100 Empirical Analysis II: Stochastic Processes and Time-Series Econometrics
ECON 31200 Empirical Analysis III
ECON 31703 Topics in Econometrics
ECON 31715 Econometrics with Partial Identification
ECON 31720 Applied Microeconometrics
ECON 31740/PPHA 48403 Optimization-Conscious Econometrics
ECON 31750 Topics on the Analysis of Randomized Experiments
ECON 31760 Topics in Modern Econometrics
ECON 31761 Frontiers of Causal Inference [intended for Econ PhD students]
ECON 31800 Advanced Econometrics
ECON 35003 Human Capital, Markets, and the Family
ECON 33550 Spatial Economics
ECON 35550/PPHA 35561/ECMA 35550 The Practicalities of Running Randomized Control Trials
MACS 33002 Introduction to Machine Learning
MACS 40200 Structural Estimation
MACS 40101/SOCI 40248 Social Network Analysis
MACS 40800 Unsupervised Machine Learning
MACS 60000/SOCI 40133/CHDV 30510 Computational Content Analysis
MDEC/ISTP 42000 Topics in Data Analysis in Biomedical Research: Big Data
PBHS 30910 Epidemiology and Population Health
PBHS 31001/STAT 35700 Epidemiologic Methods
PBHS 33300/STAT 36900 Applied Longitudinal Data Analysis
PBHS 33400/CHDV 32401 Multilevel Modeling
PBHS 33500/STAT 35800/CHDV 32702 Statistical Applications
PBHS 34500 Machine Learning
PBHS 40500 Advanced Epidemiologic Methods
PBHS 43010/STAT 35920 Applied Bayesian Modeling and Inference
PLSC 30600 Causal Inference
PLSC 40502 Data Analysis with Statistical Models
PLSC 40601 Advanced Topics in Causal Inference
PLSC 43100 Maximum Likelihood
PLSC 43200 Maximum Likelihood II
PLSC 57200 Network Analysis and Social Structure
PPHA 31300 Regression Analysis for Public Policy II
PPHA 34600 Program Evaluation
PPHA 41103 Political Economy III
PPHA 41300 Cost Benefit Analysis
PPHA 41400 Applied Regression Analysis
PPHA 41420 Multilevel Regression Modeling for Public Policy
PPHA 41600 Survey Research Methodology
PPHA 41800/PSYC 47500 Survey Questionnaire Design
PPHA 42000 Applied Econometrics I
PPHA 42100 Applied Econometrics II
PPHA 42200 Applied Econometrics III
PPHA 42600 Survey Research Methods and Analysis
PSYC 31300 Experimental Design
PSYC 34410 Computational Approaches for Cognitive Neuroscience
PSYC 36210/CPNS 31000 Mathematical Methods for Biological Sciences I
PSYC 36211/CPNS 31100 Mathematical Methods for Biological Sciences II
PSYC 37900 Experimental Design and Statistical Modeling II
PSYC 43360 Computational Models of Cognition and Development
SOCI 30005 Statistical Methods of Research 2
SOCI 30111 Survey Analysis 1
SOCI 30112 Applications of Hierarchical Linear Models
SOCI 30118 Survey Research Overview
SOCI 30157 Mathematical Models
SOCI 30253/MACS 54000 Introduction to Spatial Data Science
SOCI 40103 Event History Analysis
SOCI 40202 Advanced Topics in Causal Inference
SOCI 40204 Categorical Data Analysis
SOCI 40212 Demographic Technique
SOCI 40217/GEOG 40217/MACS 55000 Spatial Regression Analysis
SOCI 40236/MACS 40236 Panel Data Spatial Econometrics
SOCI 40242 Parametric and Semi-parametric Methods of Categorical Data Analysis
SOCI 40258 Causal Mediation Analysis
SOCI 50123 Seminar: Elegant Models for Social Structure, Probability and Non-Probability Applications
SOCI 50132 Seminar: Causal Inference in Studies of Educational Interventions
SOSC 36008/CHDV 36008/EDSO 36008/PSYC 28926 Principles and Methods of Measurement
SOSC 36011 Fundamentals of Item Response Theory
STAT 22200 Linear Models and Experimental Design
STAT 22400/PBHS 32400 Applied Regression Analysis
STAT 22600/PBHS 32600 Analysis of Categorical Data
STAT 22700/PBHS 32700 Biostatistical Methods
STAT 24300/30750 Numerical Linear Algebra
STAT 24620/32950 Multivariate Statistical Analysis: Applications and Techniques
STAT 24630 Causal Inference Methods and Case Studies
STAT 25300/31700 Introduction to Probability Models
STAT 26100/33600 Time Dependent Data
STAT 26300/35490 Introduction to Statistical Genetics
STAT 27400/37400 Nonparametric Inference
STAT 27410 Introduction to Bayesian Data analysis
STAT 27420 Introduction to Causality with Machine Learning
STAT 27725 Machine Learning
STAT 27850/30850 Multiple Testing, Modern Inference, and Replicability
STAT 27855 Hypothesis Testing with Empirical Bayes Methodology
STAT 30100 Mathematical Statistics-1
STAT 30200 Mathematical Statistics-2
STAT 30400 Distribution Theory
STAT 30600 Advanced Statistical Inference 1
STAT 30800 Advanced Statistical Inference II
STAT 30810 High Dimensional Time Series Analysis
STAT 31140/CMSC 31140/CAAM 31140 Computational Imaging: Theory and Methods
STAT 31150/CAAM 31150 Inverse Problems and Data Assimilation
STAT 31200 Introduction to Stochastic Processes I
STAT 31511 Monte Carlo Simulation
STAT 31550 Uncertainty Quantification
STAT 32940/FINM 33180/CAAM 32940 Multivariate Data Analysis via Matrix Decompositions
STAT 33100 Sample Surveys
STAT 33910/FINM 33170 Financial Statistics: Time Series, Forecasting, Mean Reversion, and High Frequency Data
STAT 34300 Applied Linear Stat Methods
STAT 34500 Design and Analysis of Experiments
STAT 34700 Generalized Linear Models
STAT 34800 Modern Methods in Applied Statistics
STAT 35450/HGEN 48600 Fundamentals of Computational Biology: Models and Inference
STAT 35460/HGEN 48800 Fundamentals of Computational Biology: Algorithms and Applications
STAT 35920 Applied Bayesian Modeling and Inference
STAT 36900/PBHS 33300 Applied Longitudinal Data Analysis
STAT 37601/CMSC 25025 Machine Learning and Large-Scale Data Analysis
STAT 37710 Machine Learning
STAT 37790/CMSC 35425 Topics in Statistical Machine Learning
STAT 37791 Topics in Machine Learning
STAT 37792 Topics in Deep Learning: Generative Models
Note: This list of courses is updated regularly. Courses that are not included in this list generally do not count toward the Certificate requirement. For such a course to be considered, the instructor must file a petition, which will be reviewed and decided upon by the curriculum subcommittee of the Quantitative Methods Committee on a quarterly basis.