APPROVED ELECTIVE COURSES (ONLY APPROVED GRADED ELECTIVES WILL COUNT)
- AMATH 515 - Optimization: Fundamentals and Applications
- AMATH/MATH 516- Numerical Optimization
- AMATH 523 - Mathematical Analysis in Biology and Medicine
- AMATH 562 - Advanced Stochastic Processes
- BIOST 517 - Applied Biostatistics I
- BIOST 518-Applied Biostatistics II
- BIOST 537-Survival Data Analysis in Epidemiology
- BIOST 540- Longitudinal and Multilevel Analysis
- BIOST 544- Introduction to Biomedical Data Science
- BIOST 550 - Statistical Genetics I: Mendelian Traits
- BIOST 551 - Statistical Genetics II: Quantitative Traits
- BIOST 552- Statistical Genetics III: Design and Analysis
- BIOST 555-Statistical Methods for Spatial Epidemiology
- BIOST/STAT 578- Special Topic: Causal Inference in Biomedical Studies (SPR 2024)
- CFRM 505-Monte Carlo Methods in Finance
- CFRM 506-Financial Data Access and Analysis with SQL, VBA and Excel
- CFRM 542 Credit Risk Management
- CSE 414-Introductions to Database Systems
- CSE 415-Introduction to Artificial Intelligence
- CSE 417-Algorithms and Computational Complexity
- CSE 422 Advanced Toolkit for Modern Algorithms
- CSE 442-Data Visualization
- CSE 447-Natural Language Processing
- CSE 473-Introduction to Artificial Intelligence
- CSE 493G1/599G1-Deep Learning
- CSE 510 - Advanced Topics in HCI
- CSE 512 - Data Visualization
- CSE 515 - Statistical Methods in Computer Science
- CSE 517-Natural Language Processing
- CSE 535-Theory of Optimization and Continuous Algorithms
- CSE 541 - Interactive Learning
- CSE 543- Deep Learning
- CSE 544 - Principles of Database Systems
- CSE 546 - Machine Learning
- CSE 573 - Artificial Intelligence I
- CSE 578 - Convex Optimization
- CSE 583- Software Development for Data Scientists
- CSE 599 - Foundations of Fairness in Machine Learning
- CSE 599-Theoretical Deep Learning
- CSE 599- Explainable AI
- CSE M 547-Natural Language Processing
- CSE M 552/ CSE 452- Distributed Systems
- CSSS 512 - Time Series and Panel Data for the Social Sciences
- CSSS 526-Structural Equation Models for the Social Sciences
- CSSS 533- Research Methods in Demography
- CSSS 544-Bayesian Statistical Methods
- CSSS 554-Statistical Methods for Spatial Data
- CSSS 552-Statistics and Philosophy of Voting (graduate version)
- CSSS 563-Statistical Demography
- CSSS 569-Visualizing Data
- CSSS 589-Multivariate Data Analysis for the Social Sciences
- ECON 586- Advanced Applied Time Series Analysis
- EDPSY 575 - Structural Equation Modeling
- EE 578/ME 578 - Convex Optimization
- GEN 540-Introduction to Computational Molecular Biology: Genome and Protein Sequence Analysis
- GEN 541-Introduction to Computational Molecular Biology: Molecular Evolution
- GEN 562-Population Genetics
- IND E 512- Introduction to Optimization Models
- IND E 524-Robust Design for Process Improvement
- MATH 408-Non-Linear Optimization
- MATH 514-Networks and Combinatorial Optimization
- MATH 515-Optimization: Fundamentals and Applications
- MATH 524- Real Analysis
- MATH 525- Real Analysis
- MATH 574-Fundamental Concepts of Analysis
- MATH 581G-Special Topics (Autumn 2022)
- MATH 583B-Topological Data Analysis (SPR 2024)
- ME 574-Introduction to Applied Parallel Computing for Engineers
- ME 578/EE 578-Convex Optimization
- MKTG 596- Adaptive Experimentation in Practice
- QERM 514 - Analysis of Ecological and Environmental Data
- SOC 513-Demography and Society
- SOC 530-Urbanism and Urbanization
- SOC 531-Fertility and Mortality
- SOC/CSSS/CSDE 533-Research Methods in Demography
- STAT 451-Visualizing Data
- STAT 491-Introduction to Stochastic Processes
- STAT 493-Stochastic Calculus for Option Pricing
- STAT 516-Stochastic Modeling of Scientific Data
- STAT 517-Stochastic Modeling of Scientific Data
- STAT 521-Advanced Probability
- STAT 522-Advanced Probability
- STAT 523-Advanced Probability
- STAT/BIOST 524- Design of Medical Studies
- STAT 527-Nonparametric Regression and Classification
- STAT 529-Sample Survey Techniques
- STAT 533/ BIOST 533- Theory of Linear Models
- STAT 535-Statistical Learning: Modeling, Prediction, and Computing
- STAT 536-Analysis of Categorical and Count Data
- STAT 538- Statistical Learning: Modeling, Prediction, and Computing
- STAT 542-Multivariate Analysis
- STAT 544-Bayesian Statistical Methods
- STAT 548-Machine Learning for Big Data
- STAT/BIOST 550-Statistical Genetics I: Mendelian Traits
- STAT/BIOST 551-Statistical Genetics II: Quantitative Traits
- STAT/BIOST 552- Statistical Genetics III: Design and Analysis
- STAT/CSSS 554/SOC 534-Statistical Methods for Spatial Data
- STAT 559 - Measure Theory
- STAT 560- Hierarchical Modeling for the Social Sciences
- STAT/CSSS/SOC 563-Statistical Demography
- STAT 564- Bayesian Statistics for the Social Sciences
- STAT 566- Causal Modeling
- STAT/CSSS 567- Statistical Analysis of Social Networks
- STAT 581-Advanced Theory of Statistical Inference I
- STAT 582- Advanced Theory of Statistical Inference II
- STAT 583- Advanced Theory of Statistical Inference III
- STAT 591 - Special Topics in Statistics (only graded special topics will be approved)
- STAT 593D-Statistical Demography (Spring 2017)
DENIED ELECTIVE COURSES
- BIOST 405-Introduction to Health Data Analysis
- BIOST 546 - Machine Learning for Biomedical and Public Health Big Data
- BIOST 561- Computational Skills for Biostatistics I
- CFRM 410- Probability and Statistics for Computational Finance
- CFRM 420- Introduction to Computational Finance and Financial Econometrics
- CFRM 425-R Programming for Quantitative Finance
- CHEM E 556 - Colloidal Systems
- CSE/STAT 416- Introduction to Machine Learning
- CSE 446- Machine Learning
- CSE 515 - Statistical Methods in Computer Science
- HSERV 558 - Tobacco and Public Health: Prevention, Treatment, Policy and Social Change
- IMT 543-Relational Database Management Systems
- MATH 510- Seminar in Algebra
- PHYS 567 - Theory of Solids
- SOC 505-Applied Social Statistics
- SOC 506 - Methodology: Quantitative Techniques in Sociology
- STAT 435-Introduction to Statistical Machine Learning
- STAT 509-Econometrics I: Introduction to Mathematical Statistics