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Coursework by Degree - MS

Click here for the complete list of courses, including course descriptions, prerequisites, and semesters offered.

Master's Program Requirements

A minimum of 30 units of coursework (graded C or better) past the Bachelor’s Degree is required, made up as follows:

1.  Core MS Courses; 15 units as follows:

            STAT 564/MATH 564 – Theory of Probability

            STAT 566/MATH 566 – Theory of Statistics

            STAT 571A/MATH 571A – Advanced Statistical Regression Analysis

            STAT 571B/MATH 571B – Design of Experiments

            STAT 688/ABE 688/CPH 688 – Statistical Consulting

A maximum of 3 units of Statistical Consulting (STAT 688/ABE 688/CPH 688) may be applied towards the Core MS course requirements.

 

2.  Additional Elective Courses; minimum 12 units from any of the following:

            AME 574 – Reliability and Quality Analysis

            ANS 513/GENE 513 – Statistical Genetics for Quantitative Measures

            CPH 576B/EPID 576B – Biostatistics for Research

            CPH 576C/EPID 576C – Applied Biostatistics Analysis

            CPH 576D/EPID 576D – Data Management and the SAS Programming Language

            CPH 647/EPID 647 – Analysis of Categorical Data, or

                        STAT 574C/SOC 574C – Categorical Data Analysis

            CPH 648/EPID 648 – Analysis of High Dimensional Data

            CPH 675/EPID 675 – Clinical Trials and Intervention Studies

            CPH 684/EPID 684 – General Linear and Mixed Effects Models

            CPH 685 – Fundamentals in Statistical Genetics and Genomics           

            CPH 686/EPID 686 – Survival Analysis

            CPH 696S/EPID 696S – Biostatistics Seminar

            ECE 631 – Neural Networks

            ECE 639 –Detection and Estimation in Engineering Systems

            ECOL 518 – Spatio-Temporal Ecology

            ECON 518/AREC 518 – Introduction to Econometrics

            ECON 522A – Econometrics, or

                        AREC 559 – Advanced Applied Econometrics

            ECON 522B – Econometrics

            ECON 549/AREC 549 – Applied Econometric Analysis

            EDP 548 – Statistical Packages in Research

            EDP 558 – Educational Tests and Measurements, or

                        PSY 507B – Statistical Methods in Psychological Research

            EDP 646A – Multivariate Methods in Educational Research

            EDP 658A – Theory of Measurement

            EDP 658B – Theory of Measurement

            FSHD 617A – Advanced Data Analysis: Structural Equation Modeling

            FSHD 617B – Advanced Data Analysis: Dyadic Data Analysis

            FSHD 617C – Advanced Data Analysis: Multilevel Modeling

            GEOG 579/STAT 579/ECON 579 – Spatial Statistics and Spatial Econometrics

            GEOS 585A – Applied Time Series Analysis

            INFO 510 – Bayesian Modeling and Inference

            INFO 521 – Introduction to Machine Learning

            LAW 611C – Litigating with Experts/ ECON 538 – Law and Economics

            LING 539 – Statistical Natural Language Processing

            LING 582 – Advanced Statistical Natural Language Processing

            MATH 529 (temporary course ID) – Multivariate

            MATH 543 - Graph Theory

            MATH 563/STAT 563 – Probability Theory

            MATH 565A – Stochastic Processes

            MATH 565B – Stochastic Processes

            MATH 565C – Stochastic Differential Equations

            MATH 568 – Applied Stochastic Processes, or

                        HWR 655/C E 655 – Stochastic Methods in Surface Hydrology

            MATH 575A/C SC 575A – Numerical Analysis

            MATH 577 – Monte Carlo Methods

            MATH 579 – Game Theory and Mathematical Programming, or

                        SIE 543 – Game Theory

            MCB 516A/ABE 516A – Statistical Bioinformatics and Genomic Analysis

            MGMT 582D – Multivariate Analysis in Management

            OPTI 528 –Information and Noise in Quantum Optics and Photonics

            OPTI 637 – Principles of Image Science

            PHYS 528 – Statistical Mechanics

PLS 565 – Practical Skills for Next Generation Sequencing Data Analysis      
PSY 507C – Research Design & Analysis of Variance

            PSY 597G – Graphical Exploratory Data Analysis

            RNR 520/GEOG 520 – Advanced Geographic Information Systems

            SIE 520 – Stochastic Modeling I

            SIE 522 – Engineering Decision Making Under Uncertainty

            SIE 525 – Queuing Theory

            SIE 531 – Simulation Modeling and Analysis

            SIE 545 – Fundamentals of Optimization

            SIE 606 – Advanced Quality Engineering

            SOC 570B – Social Statistics

            STAT 567A/MATH 567A – Theoretical Statistics

            STAT 567B/MATH 567B – Theoretical Statistics

            STAT 574B/ECON 574B – Bayesian Statistical Theory and Applications (same as ECON 696E)

            STAT 574E/MATH 574E/CPH 574E – Environmental Statistics

            STAT 574G/GEOG 574G/MATH 574G – Introduction to Geostatistics

            STAT 574S – Survey Sampling

            STAT 574T/MATH 574T – Time Series Analysis

            STAT 675 – Statistical Computing

            STAT 687/CPH 687/EPID 687 – Theory of Linear Models

A maximum of 4 units of Biostatistics Seminar (CPH 696S/EPID 696S) may be applied towards the Elective MS course requirements.

3.  An MS Thesis or in lieu of a Thesis, advanced statistical coursework; minimum 3 units as follows:

            STAT 910 – Thesis

or any one of:

            CPH 648/EPID 648 – Analysis of High Dimensional Data

            CPH 684/EPID 684 – General Linear and Mixed Effects Models

            CPH 686/EPID 686 – Survival Analysis

            MATH 563/STAT 563 – Probability Theory

            MATH 574M– Statistical Machine Learning

            STAT 567A/MATH 567A – Theoretical Statistics

            STAT 567B/MATH 567B – Theoretical Statistics

            STAT 574B/ECON 574B – Bayesian Statistical Theory and Applications (same as ECON 696E)

            STAT 574C/SOC 574C – Categorical Data Analysis

            STAT 574E/MATH 574E/CPH 574E – Environmental Statistics

            STAT 574S – Survey Sampling

            STAT 574T/MATH 574T – Time Series Analysis

            STAT 675 – Statistical Computing

            STAT 687/CPH 687/EPID 687 – Theory of Linear Models

 

Courses may be added to or removed from this list by action of the Statistics GIDP Curriculum Committee, after approval by the GIDP Executive Committee. See Program Handbook for more information.

Last updated 11 Aug 2017