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 545 - Biostatistical Methods for Big Omics Data
- 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 502 - Financial Data Science
- CFRM 505 - Monte Carlo Methods in Finance
- CFRM 506 - Financial Data Access and Analysis with SQL, VBA and Excel
- CFRM 530 - Fixed Income Analytics
- 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 503 - Software Engineering
- 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 599 - Machine Learning for Neuroscience
- 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