Faculty Recruiting Support CICS

Pre-Approved Non-CS Courses

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 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 603- Introduction to Quantitative Analysis


ECON 701- Microeconomic Theory

Electrical and Computer Engineering

ECE 547- Security Engineering

ECE 565- Digital Signal Processing

ECE 568- Computer Architecture

ECE 597- Math Tools for Data Science

ECE 603- Probability and Random Processes

ECE 606- Electromagnetic Field Theory

ECE 608- Signal Theory

ECE 697A- Advanced Computer Networks and Wireless Systems

ECE 697CS- Introduction to Compressive Sensing

ECE 697SN- Online Social Networks

ECE 735- Stochastic Control Dynamic Systems

ECE 745- Advanced Communication Theory

ECE 746- Statistical Signal Processing

Information Security

CICS 597- Introduction to Computer Security (cannot be used if COMPSCI 597N has been taken)

INFOSEC 690F- Fraud Detection

INFOSEC 690L- Internet Law & Policy

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

Mathematics & Statistics

MATH 532- Topics in Ordinary Differential Equations

MATH 545- Linear Algebra for Applied Mathematics

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 697PA: ST-Math Foundations/Probabalistic AI

MATH 697FA: ST-Math Foundations/Probabalistic AI 2

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 607- Mathematical Statistics I

STAT 608- Mathematical Statistics II

STAT 610- Bayesian Statistics

STAT 625- Regression Modeling

STAT 697TS- Time Series Analysis and Applications

STAT 697ML- Statistical Machine Learning

STAT 708- Applied Stochastic Models and Methods

Mechanical and Industrial Engineering

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

School of Management

SCH-MGMT 597 FA Foundations of Accounting

SCH-MGMT 597 FF Foundations of Finance

SCH-MGMT 602 Business Intelligence and Analytics

SCH-MGMT 650 Statistics for Business

SCH-MGMT 660 Marketing Strategy

SCH-MGMT 680 Leadership and Organizational Behavior

SCH-MGMT 697RT Artificial Intelligence for Business

SCH-MGMT 797 VL ST-Value Investing


Please note that the following courses are unlikely to be approved for use toward degree requirements: STAT 506, 515, 516 & SCH-MGMT 821 & 822.