# 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

###### CSCI: Computer Science

CSCI 567 (4) Machine Learning

CSCI 570 (4) Analysis of Algorithms

CSCI 585 (4) Database Systems

CSCI 686 (4) Advanced Big Data Analytics

###### DSO: Data Sciences and Operations

DSO 402 (2) Business Information Systems, Database Applications

DSO 528 (3) Data warehousing and data mining

DSO 530 (3) Advanced statistical learning methods

DSO 606 (3) Bayesian Data Analysis

###### ECON: Economics

ECON 511 (4) Econometric Methods

ECON 514 (4) Probability and Statistics for Econometrics

ECON 613/614 (4) Economic and Financial Time Series, I and II

###### EE: Electrical Engineering

EE 441 (3) Applied Linear Algebra for Engineering

EE 464 (3) Probability Theory for Engineers

EE 553 (3) Computational Solution of Optimization problems

EE 559 (3) Mathematical Pattern Recognition

EE 562AB (3) Random Processes in Engineering

EE 563 (3) Estimation Theory

EE 592 (3) Computational methods for Biomedical imaging

###### FBE: Finance and Business Economics

FBE 441 (4) Investments

FBE 535 (3) Applied Finance in Fixed Income Securities

FBE 555 (3) Investment Analysis and Portfolio Management

FBE 559 (3) Management of financial risk

###### GSBA: Graduate School of Business Administration

GSBA 604 (3) Regression and Generalized Linear Models for Business Applications (but cannot be used to satisfy the Math 542L requirement)

###### 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 538 (3) Elements of Stochastic Processes

ISE 539 (3) Stochastic elements of simulation

###### IR: International Relations

IR 514 (4) Multivariate Analysis

###### 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 547 (3) Methods of Statistical Inference

MATH 578AB (3) Computational Molecular Biology

MATH 605 (3) Topics in Probability

###### 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

###### SOWK: School of Social Work

SOWK 761L (3) Statistics for Social Work

###### SOCI: Sociology

SOCI 521L (4) Quantitative Methods and Statistics

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