Campuses:
This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.
Twin Cities Campus
Computer Science M.C.S.Computer Science and Engineering Administration
College of Science and Engineering
Link to a list of faculty for this program.
Contact Information
Department of Computer Science and Engineering, University of Minnesota, 4-192 Keller Hall, 200 Union Street SE, Minneapolis, MN 55455 (612- 625-4002; fax: 612-625-0572)
Email:
csgradmn@umn.edu
Website: http://www.cs.umn.edu
Along with the program-specific requirements listed below, please read the
General Information section of
this
website for requirements that apply to all major fields.
The Masters of Computer Science degree (MCS) is a terminal, professionally focused coursework-only degree designed for working professionals seeking to boost their current career, or change course. The MCS graduate program core offers coursework from a broad spectrum of theoretical and applied computer science topics and incorporates elective coursework opportunities in nearly all areas of the field. Faculty members have expertise in areas such as algorithms and theoretical computer science; numerical, parallel, and high-performance computing; distributed computing and systems; artificial intelligence, robotics, and computer vision; databases and data mining; human-computer interaction and information systems; graphics and visualization; software engineering and programming languages; computer architecture and compilers; networking; bio-informatics and computational biology; and computer security. Faculty from the Department of Computer Science and Engineering also participate in a variety of other graduate programs, including Bioinformatics and Computational Biology, Health Informatics, Cognitive Science, Scientific Computation, and Human Factors and Ergonomics.
Program Delivery
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program
is 3.00.
Applicants must have an undergraduate or graduate degree in a major with a substantial background in computer science and engineering.
Other requirements to be completed before admission:
The names and email addresses of three recommenders are required; they will be asked to upload their letters of recommendation to the University system. The department only accepts students for fall admission; the application deadline is March 1.
Special Application Requirements:
Applicants with an inadequate background must resolve any deficiencies before applying to the program.
International applicants must submit score(s) from one of the following tests:
Key to test
abbreviations
(TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
Plan C: Plan C requires
31
major credits and
0
credits outside the
major.
There is no final exam.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.00
is required for students to remain in good standing.
All major courses must be taken on the A-F grading option and students must maintain a GPA above 3.00 after completing 8 credits.
Required Coursework (16 credits)
Breadth Courses (9 credits)
Select 3 credits from each of the 3 subject areas, for a total of 9 credits. Courses are selected in consultation with the advisor.
Applications
Take 1 or more course(s) totaling 3 or more credit(s) from the following:
·
CSCI 5115 - User Interface Design, Implementation and Evaluation
(3.0 cr)
·
CSCI 5123 - Recommender Systems
(3.0 cr)
·
CSCI 5125 - Collaborative and Social Computing
(3.0 cr)
·
CSCI 5127W - Embodied Computing: Design & Prototyping
[WI]
(3.0 cr)
·
CSCI 5271 - Introduction to Computer Security
(3.0 cr)
·
CSCI 5461 - Functional Genomics, Systems Biology, and Bioinformatics
(3.0 cr)
·
CSCI 5471 - Modern Cryptography
(3.0 cr)
·
CSCI 5511 - Artificial Intelligence I
(3.0 cr)
·
CSCI 5512 - Artificial Intelligence II
(3.0 cr)
·
CSCI 5521 - Machine Learning Fundamentals
(3.0 cr)
·
CSCI 5523 - Introduction to Data Mining
(3.0 cr)
·
CSCI 5551 - Introduction to Intelligent Robotic Systems
(3.0 cr)
·
CSCI 5607 - Fundamentals of Computer Graphics 1
(3.0 cr)
·
CSCI 5561 - Computer Vision
(3.0 cr)
·
CSCI 5608 - Fundamentals of Computer Graphics II
(3.0 cr)
·
CSCI 5609 - Visualization
(3.0 cr)
·
CSCI 5611 - Animation & Planning in Games
(3.0 cr)
·
CSCI 5619 - Virtual Reality and 3D Interaction
(3.0 cr)
·
CSCI 5707 - Principles of Database Systems
(3.0 cr)
Architecture, Systems and Software
Take 1 or more course(s) totaling 3 or more credit(s) from the following:
·
CSCI 5103 - Operating Systems
(3.0 cr)
·
CSCI 5105 - Introduction to Distributed Systems
(3.0 cr)
·
CSCI 5106 - Programming Languages
(3.0 cr)
·
CSCI 5161 - Introduction to Compilers
(3.0 cr)
·
CSCI 5204 - Advanced Computer Architecture
(3.0 cr)
·
CSCI 5211 - Data Communications and Computer Networks
(3.0 cr)
·
CSCI 5221 - Foundations of Advanced Networking
(3.0 cr)
·
CSCI 5231 {Inactive}
(3.0 cr)
·
CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming
(3.0 cr)
·
CSCI 5552 - Sensing and Estimation in Robotics
(3.0 cr)
·
CSCI 5708 - Architecture and Implementation of Database Management Systems
(3.0 cr)
·
CSCI 5751 - Big Data Engineering and Architecture
(3.0 cr)
·
CSCI 5801 - Software Engineering I
(3.0 cr)
·
CSCI 5802 - Software Engineering II
(3.0 cr)
Theory and Algorithims
Take 1 or more course(s) totaling 3 or more credit(s) from the following:
·
CSCI 5302 - Analysis of Numerical Algorithms
(3.0 cr)
·
CSCI 5304 - Computational Aspects of Matrix Theory
(3.0 cr)
·
CSCI 5421 - Advanced Algorithms and Data Structures
(3.0 cr)
·
CSCI 5481 - Computational Techniques for Genomics
(3.0 cr)
·
CSCI 5525 - Machine Learning: Analysis and Methods
(3.0 cr)
Computer Science 8000-level Courses (6 credits)
Select 6 credits from the following in consultation with the advisor. CSCI 8980 can be taken twice if the topics are different.
CSCI 8101 - Advanced Operating Systems
(3.0 cr)
CSCI 8102 - Foundations of Distributed Computing
(3.0 cr)
CSCI 8115 - Human-Computer Interaction and User Interface Technology
(3.0 cr)
CSCI 8117 - Understanding the Social Web
(3.0 cr)
CSCI 8161 - Advanced Compiler Techniques
(3.0 cr)
CSCI 8205 - Parallel Computer Organization
(3.0 cr)
CSCI 8211 - Advanced Computer Networks and Their Applications
(3.0 cr)
CSCI 8271 - Security and Privacy in Computing
(3.0 cr)
CSCI 8314 - Sparse Matrix Computations
(3.0 cr)
CSCI 8363 - Numerical Linear Algebra in Data Exploration
(3.0 cr)
CSCI 8442 - Computational Geometry and Applications
(3.0 cr)
CSCI 8551 - Intelligent Agents
(3.0 cr)
CSCI 8581 - Big Data in Astrophysics
(4.0 cr)
CSCI 8701 - Overview of Database Research
(3.0 cr)
CSCI 8715 - Spatial Data Science Research
(3.0 cr)
CSCI 8725 - Databases for Bioinformatics
(3.0 cr)
CSCI 8735 - Advanced Database Systems
(3.0 cr)
CSCI 8801 - Advanced Software Engineering
(3.0 cr)
CSCI 8980 - Special Advanced Topics in Computer Science
(1.0-3.0 cr)
Electives (15 credits)
Select 15 credits from the following to complete the 31 credits required. Other courses can be applied to this requirement with director of graduate studies approval
Computer Science Courses
CSCI 5103 - Operating Systems
(3.0 cr)
CSCI 5105 - Introduction to Distributed Systems
(3.0 cr)
CSCI 5106 - Programming Languages
(3.0 cr)
CSCI 5115 - User Interface Design, Implementation and Evaluation
(3.0 cr)
CSCI 5125 - Collaborative and Social Computing
(3.0 cr)
CSCI 5143 - Real-Time and Embedded Systems
(3.0 cr)
CSCI 5161 - Introduction to Compilers
(3.0 cr)
CSCI 5204 - Advanced Computer Architecture
(3.0 cr)
CSCI 5211 - Data Communications and Computer Networks
(3.0 cr)
CSCI 5231 {Inactive}
(3.0 cr)
CSCI 5271 - Introduction to Computer Security
(3.0 cr)
CSCI 5302 - Analysis of Numerical Algorithms
(3.0 cr)
CSCI 5304 - Computational Aspects of Matrix Theory
(3.0 cr)
CSCI 5421 - Advanced Algorithms and Data Structures
(3.0 cr)
CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming
(3.0 cr)
CSCI 5461 - Functional Genomics, Systems Biology, and Bioinformatics
(3.0 cr)
CSCI 5481 - Computational Techniques for Genomics
(3.0 cr)
CSCI 5511 - Artificial Intelligence I
(3.0 cr)
CSCI 5512 - Artificial Intelligence II
(3.0 cr)
CSCI 5521 - Machine Learning Fundamentals
(3.0 cr)
CSCI 5523 - Introduction to Data Mining
(3.0 cr)
CSCI 5525 - Machine Learning: Analysis and Methods
(3.0 cr)
CSCI 5551 - Introduction to Intelligent Robotic Systems
(3.0 cr)
CSCI 5552 - Sensing and Estimation in Robotics
(3.0 cr)
CSCI 5561 - Computer Vision
(3.0 cr)
CSCI 5607 - Fundamentals of Computer Graphics 1
(3.0 cr)
CSCI 5608 - Fundamentals of Computer Graphics II
(3.0 cr)
CSCI 5611 - Animation & Planning in Games
(3.0 cr)
CSCI 5619 - Virtual Reality and 3D Interaction
(3.0 cr)
CSCI 5707 - Principles of Database Systems
(3.0 cr)
CSCI 5708 - Architecture and Implementation of Database Management Systems
(3.0 cr)
CSCI 5715 - From GPS, Google Maps, and Uber to Spatial Data Science
(3.0 cr)
CSCI 5801 - Software Engineering I
(3.0 cr)
CSCI 5802 - Software Engineering II
(3.0 cr)
CSCI 5980 - Special Topics in Computer Science
(1.0-3.0 cr)
CSCI 8115 - Human-Computer Interaction and User Interface Technology
(3.0 cr)
CSCI 8205 - Parallel Computer Organization
(3.0 cr)
CSCI 8211 - Advanced Computer Networks and Their Applications
(3.0 cr)
CSCI 8271 - Security and Privacy in Computing
(3.0 cr)
CSCI 8363 - Numerical Linear Algebra in Data Exploration
(3.0 cr)
CSCI 8551 - Intelligent Agents
(3.0 cr)
CSCI 8715 - Spatial Data Science Research
(3.0 cr)
CSCI 8735 - Advanced Database Systems
(3.0 cr)
CSCI 8970 - Computer Science Colloquium
(1.0 cr)
Related Fields
AEM 5401 - Intermediate Dynamics
(3.0 cr)
AEM 5451 - Optimal Estimation
(3.0 cr)
AEM 8411 - Advanced Dynamics
(3.0 cr)
AEM 8423 - Convex Optimization Methods in Control
(3.0 cr)
BMEN 5001 - Advanced Biomaterials
(3.0 cr)
BMEN 5201 - Advanced Biomechanics
(3.0 cr)
BMEN 5701 - Cancer Bioengineering
(3.0 cr)
BMEN 8151 - Biomedical Electronics and Implantable Microsystems
(3.0 cr)
CEGE 8211 - Theory of Traffic Flow
(4.0 cr)
EE 5231 - Linear Systems and Control
(3.0 cr)
EE 5235 - Robust Control System Design
(3.0 cr)
EE 5239 - Introduction to Nonlinear Optimization
(3.0 cr)
EE 5251 - Optimal Filtering and Estimation
(3.0 cr)
EE 5301 - VLSI Design Automation I
(3.0 cr)
EE 5333 - Analog Integrated Circuit Design
(3.0 cr)
EE 5351 - Applied Parallel Programming
(3.0 cr)
EE 5355 - Algorithmic Techniques for Scalable Many-core Computing
(3.0 cr)
EE 5364 - Advanced Computer Architecture
(3.0 cr)
EE 5371 - Computer Systems Performance Measurement and Evaluation
(3.0 cr)
EE 5373 - Data Modeling Using R
(1.0 cr)
EE 5393 - Circuits, Computation, and Biology
(3.0 cr)
EE 5505 - Wireless Communication
(3.0 cr)
EE 5531 - Probability and Stochastic Processes
(3.0 cr)
EE 5542 - Adaptive Digital Signal Processing
(3.0 cr)
EE 5581 - Information Theory and Coding
(3.0 cr)
EE 5585 - Data Compression
(3.0 cr)
EE 5653 - Physical Principles of Magnetic Materials
(3.0 cr)
EE 5741 - Advanced Power Electronics
(3.0 cr)
EE 8231 - Optimization Theory
(3.0 cr)
EE 8367 - Parallel Computer Organization
(3.0 cr)
EE 5571 - Statistical Learning and Inference
(3.0 cr)
EE 8591 - Predictive Learning from Data
(3.0 cr)
IE 5531 - Engineering Optimization I
(4.0 cr)
IE 5532 - Stochastic Models
(4.0 cr)
MATH 5075 - Mathematics of Options, Futures, and Derivative Securities I
(4.0 cr)
MATH 5165 - Mathematical Logic I
(4.0 cr)
MATH 5248 - Cryptology and Number Theory
(4.0 cr)
MATH 5251 - Error-Correcting Codes, Finite Fields, Algebraic Curves
(4.0 cr)
MATH 5335 - Geometry I
(4.0 cr)
MATH 5385 - Introduction to Computational Algebraic Geometry
(4.0 cr)
MATH 5447 - Theoretical Neuroscience
(4.0 cr)
MATH 5467 - Introduction to the Mathematics of Image and Data Analysis
(4.0 cr)
MATH 5485 - Introduction to Numerical Methods I
(4.0 cr)
MATH 5486 - Introduction To Numerical Methods II
(4.0 cr)
MATH 5651 - Basic Theory of Probability and Statistics
(4.0 cr)
MATH 5652 - Introduction to Stochastic Processes
(4.0 cr)
MATH 5654 - Prediction and Filtering
(4.0 cr)
MATH 5705 - Enumerative Combinatorics
(4.0 cr)
MATH 5707 - Graph Theory and Non-enumerative Combinatorics
(4.0 cr)
MATH 5711 - Linear Programming and Combinatorial Optimization
(4.0 cr)
MATH 8211 - Commutative and Homological Algebra
(3.0 cr)
MATH 8212 - Commutative and Homological Algebra
(3.0 cr)
MATH 8253 - Algebraic Geometry
(3.0 cr)
MATH 8254 - Algebraic Geometry
(3.0 cr)
MATH 8270 - Topics in Algebraic Geometry
(1.0-3.0 cr)
MATH 8301 - Manifolds and Topology
(3.0 cr)
MATH 8302 - Manifolds and Topology
(3.0 cr)
MATH 8306 - Algebraic Topology
(3.0 cr)
MATH 8307 - Algebraic Topology
(3.0 cr)
MATH 8365 - Riemannian Geometry
(3.0 cr)
MATH 8441 - Numerical Analysis and Scientific Computing
(3.0 cr)
MATH 8501 - Differential Equations and Dynamical Systems I
(3.0 cr)
MATH 8601 - Real Analysis
(3.0 cr)
MATH 8602 - Real Analysis
(3.0 cr)
MATH 8651 - Theory of Probability Including Measure Theory
(3.0 cr)
MATH 8991 - Independent Study
(1.0-6.0 cr)
ME 5241 - Computer-Aided Engineering
(4.0 cr)
ME 5243 - Advanced Mechanism Design
(4.0 cr)
ME 8253 - Computational Nanomechanics
(3.0 cr)
ME 8390 - Advanced Topics in the Thermal Sciences : Biostabilization in Biomedicine, and Biotechnology
(1.0-3.0 cr)
ME 8794 - Mechanical Engineering Research
(1.0-4.0 cr)
MSBA 6321 - Data Management, Databases, and Data Warehousing
(3.0 cr)
MSBA 6331 - Big Data Analytics
(3.0 cr)
MSBA 6421 - Predictive Analytics
(3.0 cr)
STAT 5021 - Statistical Analysis
(4.0 cr)
STAT 5101 - Theory of Statistics I
(4.0 cr)
STAT 5102 - Theory of Statistics II
(4.0 cr)
STAT 5302 - Applied Regression Analysis
(4.0 cr)
STAT 5303 - Designing Experiments
(4.0 cr)
STAT 5421 - Analysis of Categorical Data
(3.0 cr)
STAT 5511 - Time Series Analysis
(3.0 cr)
STAT 5701 - Statistical Computing
(3.0 cr)
STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods
(3.0 cr)
STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression
(3.0 cr)
STAT 8101 - Theory of Statistics 1
(3.0 cr)
STAT 8102 - Theory of Statistics 2
(3.0 cr)
STAT 8931 - Advanced Topics in Statistics
(3.0 cr)
STAT 8932 - Advanced Topics in Statistics
(3.0 cr)
STAT 8933 - Advanced Topics in Statistics
(3.0 cr)
|
|
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Odd Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4511W/CSci 5511 |
Prerequisites: | [2041 or #], grad student |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 5512W/CSci 5512 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Odd Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Odd Year |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 5204/EE 5364 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4211/CSci 5211/INET 4002 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 2041 or # |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 8205/EE 8367 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast/Stat/CSci 8581/Phys 8581 |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 1.0 -3.0 [max 27.0] |
Typically offered: | Every Fall & Spring |
Credits: | 1.0 -3.0 [max 9.0] |
Typically offered: | Every Fall & Spring |
Credits: | 1.0 -3.0 [max 9.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Even Year |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 5204/EE 5364 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4211/CSci 5211/INET 4002 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4511W/CSci 5511 |
Prerequisites: | [2041 or #], grad student |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 5512W/CSci 5512 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Odd Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Odd Year |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Even Year |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 2041 or # |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 1.0 -3.0 [max 27.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 8205/EE 8367 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | AEM 5451/EE 5251 |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | AEM 5451/EE 5251 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Odd Year |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 5204/EE 5364 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | EE 5371/5863 |
Typically offered: | Periodic Fall & Spring |
Credits: | 1.0 [max 1.0] |
Grading Basis: | A-F only |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 8205/EE 8367 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Math 4152/5165 |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Math 5651/Stat 5101 |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Spring |
Credits: | 1.0 -3.0 [max 12.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 1.0 -6.0 [max 24.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Summer |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | ME 8253/SCIC 8253 |
Prerequisites: | CSE grad student |
Typically offered: | Every Spring |
Credits: | 1.0 -3.0 [max 18.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 1.0 -4.0 [max 4.0] |
Grading Basis: | S-N only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | (Stat 5102 or Stat 8102) and (Stat 5302 or STAT 8051) or consent |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | PhD student in stat or DGS permission and 8052 |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 12.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 12.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 12.0] |
Typically offered: | Every Fall & Spring |