Approved UMass Amherst Courses Outside of Computer Science
Pre-approved courses count toward the MS, MS/Phd, and PhD requirements, subject to any overall restrictions.
The courses below have been pre-approved to count toward the MS, MS/PhD, and PhD requirements, subject to any overall restrictions.
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:
- Send an email to the MS program director at mpd [at] cs [dot] umass [dot] edu (mpd[at]cs[dot]umass[dot]edu) and cc: Eileen Hamel, Graduate Program Manager (hamel [at] umass [dot] edu (hamel[at]umass[dot]edu))
- The subject line of the email should read "Outside Course Approval for..."
- The body of the email should include a detailed syllabus and weekly schedule of the course as well as a description of the number and nature (e.g., programming or otherwise) of assignments and projects.
Biostatistics
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
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
Economics
ECON 701: Microeconomic Theory
Electrical and Computer Engineering
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
Information Security
INFOSEC 690F: Fraud Detection
INFOSEC 690R: Information Risk Management
INFOSEC 690S: System Defense and Test*
*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.
Linguistics
LINGUIST 509: Introduction to Computational Linguistics
LINGUIST 510: Introduction to Semantics
LINGUIST 610: Semantics and Generative Grammar
LINGUIST 692C: Cognitive Modeling
Mathematics and Statistics
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 PDEs
MATH 671: Topology
MATH 697PA: ST–Math Foundations/Probabilistic AI
MATH 697FA: ST–Math Foundations/Probabilistic AI 2
MATH 697U: Stochastic Processes and Applications
STAT 501: Methods of Applied Statistics
STAT 511: Multivariate Statistical Methods
STAT 525: Regression Analysis
STAT 535: Statistical Computing
STAT 526: Design of Experiments
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 697TS: Time Series Analysis and Applications
STAT 697ML: Statistical Machine Learning
STAT 708: Applied Stochastic Models and Methods
Courses not approved: STAT 506, 515, and 516
*Match 513 is cross-listed with COMPSCI 575
Mechanical and Industrial Engineering
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 and Dynamic Programming
Physics
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 644: Economic Analysis for Manager
SCH-MGMT 650: Statistics for Business
SCH-MGMT 660: Marketing Strategy
SCH-MGMT 680: Leadership and Organizational Behavior
SCH-MGMT 697CV: Facing Dilemmas: Case Studies in Corporate Values
SCH-MGMT 697DM: Web Analytics for Digital Marketing
SCH-MGMT 697RT: Artificial Intelligence for Business
SCH-MGMT 797 VL ST: Value Investing
Courses not approved: SCH-MGMT 609, 821, and 822