The following courses have been pre-approved to count toward the MS, MS/PhD, and PhD requirements, subject to any overall restrictions.
BIOSTAT 690B- Intro to Causal Inference
BIOSTAT 690JQ- Biostatistics Methods 3: Modern Applied
BIOSTAT 690NR- Biostatistics Methods 2: Applied Linear
BIOSTAT 690T- Applied Statistical Genetics
BIOSTAT 730- Applied Bayesian Statistical Modeling
BIOSTAT 740- Mixed Models and Analysis of Longitudinal Data
BIOSTAT 748- Applied Survival Analysis
BIOSTAT 749- Statistical Methods for Clinical Trials
BIOSTAT 790A- Causal Inference: special topics
DACSS 601- Data Science Fundamentals
DACSS 602- Research Design
DACSS 603- Introduction to Quantitative Analysis
DACSS 695SL- Social Life of Algorithms
Courses not approved: DACSS 695C - Seminar Corporate Lobbying and the Global Economy
ECON 701- Microeconomic Theory
ECE 547- Security Engineering
ECE 556- Introduction to Cryptography
ECE 565- Digital Signal Processing
ECE 568- Computer Architecture
ECE 597- Math Tools for Data Science
ECE 597LS- Hardware Design for Machine Learning Systems
ECE 603- Probability and Random Processes
ECE 606- Electromagnetic Field Theory
ECE 608- Signal Theory
ECE 634- Optimal Control of Dynamic Systems
ECE 656- Introduction to Cryptography
ECE 671- Computer Networks
ECE 674- Green Computing
ECE 697A- Advanced Computer Networks and Wireless Systems
ECE 697CS- Introduction to Compressive Sensing
ECE 697LP- Design Principles for Low Power Embedded Computer Systems
ECE 697LS- Hardware Design for Machine Learning
ECE 697SN- Online Social Networks
ECE 735- Stochastic Control Dynamic Systems
ECE 745- Advanced Communication Theory
ECE 746- Statistical Signal Processing
INFOSEC 690F- Fraud Detection
INFOSEC 690R- Information Risk Management
INFOSEC 690S- System Defense and Test **
LINGUIST 509- Introduction to Computational Linguistics
LINGUIST 510- Introduction to Semantics
LINGUIST 610- Semantics and Generative Grammar
LINGUIST 692C- Cognitive Modeling
MATH 513- Combinatorics*
MATH 532- Topics in Ordinary Differential Equations
MATH 535- Statistical Computing
MATH 545- Linear Algebra for Applied Mathematics
MATH 551- Scientific Computing
MATH 605- Probability Theory
MATH 611- Algebra I
MATH 612- Algebra II
MATH 623- Real Analysis I
MATH 624- Real Analysis II
MATH 651- Numerical Analysis I
MATH 652- Numerical Solution of PDE's
MATH 671- Topology
MATH 697FA: ST-Math Foundations/Probabalistic AI 2
MATH 697PA: ST-Math Foundations/Probabalistic AI
MATH 697U- Stochastic Processes and Applications
STAT 501- Methods of Applied Statistics
STAT 511- Multivariate Statistical Methods
STAT 525- Regression Analysis
STAT 526- Design of Experiments
STAT 535- Statisical Computing
STAT 597BD- Biomed and Health Data Analysis
STAT 607- Mathematical Statistics I
STAT 608- Mathematical Statistics II
STAT 610- Bayesian Statistics
STAT 625- Regression Modeling
STAT 697ML- Statistical Machine Learning
STAT 697MV- Applied Multivariate Statistics
STAT 697TS- Time Series Analysis and Applications
STAT 697U Stochastic Processes and Applications
STAT 708- Applied Stochastic Models and Methods
Courses not approved: STAT 506, 515 & 516
*Match 513 is cross-listed with COMPSCI 575
MIE 532- Network Optimization
MIE 620- Linear Programming
MIE 670- Technical Project Management
MIE 684- Stochastic Processes in Industrial Engineering I
MIE 697U- Strategy-driven Engineering Innovation
MIE 724- Nonlinear & Dynamic Programming
Physics 564- Advanced Quantum Mechanics
SCH-MGMT 597 FA Foundations of Accounting
SCH-MGMT 602 Business Intelligence and Analytics
SCH-MGMT 644 Economic Analysis for Managers
SCH-MGMT 650 Statistics for Business
SCH-MGMT 657 Data Science for Business
SCH-MGMT 680 Leadership and Organizational Behavior
SCH-MGMT 697DM Web Analytics for Digital Marketing
SCH-MGMT 697RT Artificial Intelligence for Business
Courses not approved: SCH-MGMT 597FF, 797FF, 697CV, 660, 609, 821 & 822
**This class is a computer science class as of Fall 2020. Therefore, if the class was taken as CS 590A Systems Defense and Test it is counted as a computer science class.
Note: Any course not on this pre-approved list not count towards the MS degree. Exceptions may be granted, provided they are requested well before the end of the add/drop period and explicitly approved by the MS program director. Exception requests are reviewed on a case-by-case basis and are not guaranteed to be approved. In order to request an exception, please do the following: