Statistics Masters Approved Electives

The following is a list of courses that can be counted toward the unit requirement for the MS in statistics given by the Mathematics department. Additional courses can be approved by faculty should they fit the necessary criteria.  See the USC Catalogue for course descriptions. Students should be aware that registration in any course requires that all course prerequisites be satisfied, and that no prerequisite will be waived for the special purpose of the course being an MS elective. Further below are courses that may not be used as electives for the Statistics Masters.

BISC: Biological Sciences

BIOC/BISC 543 (4) Human Genetics

CE: Civil Engineering

CE 561 (4) Uncertainty Quantification and Data Analytics in Civil and Mechanical Engineering

CSCI: Computer Science

CSCI 544 (3) Applied Natural Language Processing
CSCI 561 (4) Foundations of Artificial Intelligence
CSCI 567 (4) Machine Learning
CSCI 570 (4) Analysis of Algorithms
CSCI 585 (4) Database Systems
CSCI 670 (4) Advanced Analysis of Algorithms
CSCI 677 (4) Advanced Computer Vision
CSCI 686 (4) Advanced Big Data Analytics

DSO: Data Sciences and Operations

DSO 528 (3) Blended Data Business Analytics for Efficient Decisions
DSO 530 (3) Applied Modern Statistical Learning Methods
DSO 536 (1.5) Monte Carlo Simulation and Decision Models
DSO 545 (3) Statistical Computing and Data Visualization
DSO 607 (3) High Dimensional Statistics and Big Data Problems

ECON: Economics

ECON 513 (4) Practice of Econometrics
ECON 610 (4) Quantitative Analysis in Macroeconomics
ECON 612 (4) Econometric Theory
ECON 613/614 (4) Economic and Financial Time Series, I and II
ECON 615 (4) Applied Econometrics

EE: Electrical Engineering

EE 510 (4) Applied Linear Algebra for Engineering
EE 512 (3) Stochastic Processes
EE 550 (3) Design and Analysis of Computer Communication Networks
EE 553 (3) Computational Solution of Optimization problems
EE 559 (3) Mathematical Pattern Recognition
EE 562 (4) Random Processes in Engineering
EE 563 (4) Estimation Theory
EE 588 (4) Optimization for the Information and Data Sciences
EE 592 (3) Computational methods for Biomedical imaging
EE 649 (3) Stochastic Network Optimization
EE 660 (3) Machine Learning from Signals: Foundations and Methods

FBE: Finance and Business Economics

FBE 535 (3) Applied Finance in Fixed Income Securities*
FBE 555 (3) Investment Analysis and Portfolio Management*
FBE 559 (3) Management of financial risk*

*These classes have GSBA 548, Corporate Finance, as a prerequisite which cannot be waived.

ISE: Industrial and Systems Engineering

ISE 520 (3) Optimization: Theory and Algorithms
ISE 525 (3) Design of Experiments (but cannot be used to satisfy the Math 542L requirement)
ISE 530 (3) Optimization Methods for Analytics
ISE 538 (3) Elements of Stochastic Processes
ISE 539 (3) Stochastic Elements of Simulation
ISE 626 (3) Advanced Topics in Applied Stochastic Models

INF: Informatics

INF 510 (3) Principles of Programming for Informatics
INF 552 (3) Machine Learning for Data Informatics
INF 560 (3) Data Informatics Professional Practicum

MATH: Mathematics

MATH 502B (3) Numerical Analysis
MATH 506 (3) Stochastic Processes
MATH 508 (3) Filtering Theory
MATH 509 (3) Stochastic Differential Equations
MATH 512 (3) Financial Informatics and Simulation
MATH 530AB (3) Stochastic Calculus and Mathematical Finance
MATH 545 (3) Introduction to Time Series
MATH 547 (3) Methods of Statistical Inference
MATH 578AB (3) Computational Molecular Biology

PM: Preventive Medicine

PM 510L (4) Principles of Biostatistics
PM 511ABC (4) Data Analysis
PM 513 (3) Statistical Methods for Analysis of Experimental Designs
PM 522AB (3) Introduction to the Theory of Statistics
PM 544 (3) Multivariate Analysis
PM 534 (3) Statistical Genetics
PM 570 (3) Statistical Methods in Human Genetics
PM 571 (3) Applied Logistic Regression
PM 603 (4) Structural Equation Modeling

PSYC: Psychology

PSYC 501 (4) Statistics in Psychological Research
PSYC 502 (4) Analysis of Variance and Experimental Design
PSYC 503L (4) Regression and the General Linear Model
PSYC 520 (4) Test Analysis
PSYC 575 (4) Multivariate Analysis of Behavioral Data
PSYC 577 (4) Analysis of Covariance Structures
PSYC 578 (4) Workshop in Quantitative Methods

PPD: Public Planning and Development

PPD 557 (4) Modeling and Operations Research
PPD 558 (4) Multivariate Statistical Analysis

Quantitative and Computational Biology

QBIO 578b (3) Computational Molecular Biology

SOWK: School of Social Work

SOWK 761L (3) Multiple Regression for Social Work Research

SOCI: Sociology

SOCI 521L (4) Quantitative Methods and Statistics

The following courses may not be used as electives for the Statistics Masters: