There is sufficient flexibility to accommodate students with interests in applications to business, computing, economics, engineering, health, operations research, and biological and social sciences.
Graduate courses crosslisted with the Statistics Department are approved as elective credit for the program, as are the following table of suggested courses.
May be taken for CR/S.
Suggested courses: Please use the following list as a content guideline for choosing other courses of interest that are not found here. | |
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Biology (BIO) |
|
BIO 244 | Fundamentals of Molecular Evolution |
BIO 283 | Theoretical Population Genetics |
Biomedical Informatics (BIOMEDIN) |
|
BIOMEDIN 214 | Representations and Algorithms for Computational Molecular Biology |
BIOMEDIN 233 | Intermediate Biostatistics: Analysis of Discrete Data |
Civil Engineering (CEE) |
|
CEE 203 | Probabilistic Models in Civil Engineering |
CEE 289 | Random Vibrations |
Computational and Mathematical Engineering (CME) |
|
CME 302 | Numerical Linear Algebra |
CME 303 | Partial Differential Equations of Applied Mathematics |
CME 305 | Discrete Mathematics and Algorithms |
CME 306 | Numerical Solution of Partial Differential Equations |
CME 309 | Randomized Algorithms and Probabilistic Analysis |
CME 321A | Mathematical Methods of Imaging |
CME 323 | Distributed Algorithms and Optimization |
CME 364A | Convex Optimization I |
CME 364B | Convex Optimization II |
Computer Science (CS) |
|
CS 145 | Introduction to Databases |
CS 205A | Mathematical Methods for Robotics, Vision, and Graphics |
CS 221 | Artificial Intelligence: Principles and Techniques |
CS 228 | Probabilistic Graphical Models: Principles and Techniques |
CS 229 | Machine Learning |
CS 246 | Mining Massive Data Sets |
CS 261 | Optimization and Algorithmic Paradigms |
CS 269O |
Introduction to Optimization Theory (MS&E 213) |
CS 273A | A Computational Tour of the Human Genome |
CS 274 | Representations and Algorithms for Computational Molecular Biology |
Economics (ECON) |
|
ECON 202 | Microeconomics I |
ECON 203 | Microeconomics II |
ECON 210 | Macroeconomics I |
ECON 271 | Intermediate Econometrics II |
ECON 272 | Intermediate Econometrics III |
ECON 273 | Advanced Econometrics I |
ECON 274 | Advanced Econometrics II |
ECON 276 | Computational Econometrics |
ECON 286 | Game Theory and Economic Applications |
ECON 288 | Computational Economics |
Economic Analysis & Policy (MGTECON) |
|
MGTECON 634 | Machine Learning and Causal Inference |
Education (EDUC) |
|
EDUC 351A | Statistical Methods for Longitudinal Research |
EDUC 353A | Problems in Measurement: Item Response Theory |
Electrical Engineering (EE) |
|
EE 261 | The Fourier Transform and Its Applications |
EE 278 | Introduction to Statistical Signal Processing |
EE 364A | Convex Optimization I |
EE 364B | Convex Optimization II |
EE 368 | Digital Image Processing |
EE 372 | Data Science for High Throughput Sequencing |
EE 373A | Adaptive Signal Processing |
EE 387 | Error Correcting Codes: Theory and Applications |
EE 388 |
Modern Coding Theory |
Energy (ENERGY) |
|
ENERGY 240 | Geostatistics |
ENERGY 241 | Seismic Reservoir Characterization |
ENERGY 242 | Topics in Advanced Geostatistics |
Engineering (ENG) |
|
ENGR 207B | Linear Control Systems II |
ENGR 150 | Data Challenege Lab |
ENGR 350 | Data Impact Lab |
Genetics (GENE) |
|
GENE 211 | Genomics |
GENE 245 | Statistical and Machine Learning Methods for Genomics |
GSB: Finance (FINANCE), General & Interdisciplinary (GSBGEN) |
|
FINANCE 620 | Financial Markets I |
FINANCE 621 | Financial Markets II |
FINANCE 622 | Dynamic Asset Pricing Theory |
GSBGEN 641 | Advanced Empirical Methods |
Health Research and Policy (HRP) |
|
HRP 206 | Meta-research: Appraising Research Findings, Bias, and Meta-analysis |
HRP 226 | Advanced Epidemiologic and Clinical Research Methods |
Management Science & Engineering (MSE) |
|
MS&E 207 | Interactive Management Science |
MS&E 211 | Linear and Nonlinear Optimization |
MS&E 223 | Simulation |
MS&E 238 | Leading Trends in Information Technology |
MS&E 241 | Economic Analysis |
MS&E 245A | Investment Science |
MS&E 246 | Financial Risk Analytics |
MS&E 250A | Engineering Risk Analysis |
MS&E 250B | Project Course in Engineering Risk Analysis |
MS&E 251 | Stochastic Control |
MS&E 252 | Decision Analysis I: Foundations of Decision Analysis |
MS&E 260 | Introduction to Operations Management |
MS&E 311 | Optimization |
MS&E 313 | Almost Linear Time Graph Algorithms |
MS&E 321 | Stochastic Systems |
MS&E 322 | Stochastic Calculus and Control |
MS&E 327 | Topics in Causal Inference |
MS&E 335 | Queueing and Scheduling in Processing Networks |
MS&E 347 | Credit Risk: Modeling and Management |
MS&E 352 | Decision Analysis II: Professional Decision Analysis |
MS&E 353 | Decision Analysis III: Frontiers of Decision Analysis |
MS&E 355 | Influence Diagrams and Probabilistics Networks |
Mathematics (MATH) |
|
MATH 205A | Real Analysis |
MATH 220 | Partial Differential Equations of Applied Mathematics |
MATH 236 | Introduction to Stochastic Differential Equations |
Mechanical Engineering (ME) |
|
ME 300A | Linear Algebra with Application to Engineering Computations |
Philosophy (PHIL) |
|
PHIL 266 | Probability: Ten Great Ideas About Chance |
Political Science (POLISCI) |
|
POLISCI 450A |
Political Methodology I: Regression |
POLISCI 450B |
Political Methodology II: Causal Inference |
POLISCI 450C |
Political Methodology III: Model-Based Inference |
Psychology (PSYCH) |
|
PSYCH 253 | Statistical Theory, Models, and Methodology |
Sociology (SOC) |
|
SOC 383 | Sociological Methodology III: Models for Discrete Outcomes |
Students are advised to avoid redundancy in coursework. |
|
STATS 191 | Introduction to Applied Statistics |
MATH 115 | Functions of a Real Variable |
MATH 171 | Fundamental Concepts of Analysis |
CS 106A | Programming Methodology |
CS 106B | Programming Abstractions |
CS 106X | Programming Abstractions (Accelerated) |
CS 140 | Operating Systems and Systems Programming |
CS 142 | Web Applications |
CS 143 | Compilers |
CS 144 | Introduction to Computer Networking |
CS 145 | Data Management and Data Systems |
CS 147 | Introduction to Human-Computer Interaction Design |
CS 148 | Introduction to Computer Graphics and Imaging |
CS 149 | Parallel Computing |
CS 154 | Introduction to Automata and Complexity Theory |
CS 155 | Computer and Network Security |
CS 157 | Computational Logic |
CS 161 | Design and Analysis of Algorithms |
CS 170 | Stanford Laptop Orchestra: Composition, Coding, and Performance |
CS 181 | Computers, Ethics, and Public Policy |
Of the courses below 200, At most, one of these courses may be counted as an elective. 4 | |
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MATH 104 | Applied Matrix Theory |
MATH 113 | Linear Algebra and Matrix Theory |
STATS 116 | Theory of Probability 2 |
If and when a higher level course has been used to fulfill the degree requirements, only one of the above courses may be used as an elective. |