Campuses:
Twin Cities Campus
Data Science B S D SComputer Science and Engineering
College of Science and Engineering
A data scientist is a person who should be able to leverage existing data sources and create new ones as needed in order to extract meaningful information and actionable insights. These insights can be used to drive business decisions and changes intended to achieve business goals.
This is done through business domain expertise, effective communication and results interpretation, and utilization of any and all relevant statistical techniques, programming languages, software packages and libraries, data infrastructure, and so on.
The degree prepares students for work in various industrial, governmental, and business positions. Graduates will be able to:
Conduct research on openended industry or organization questions
Extract large volumes of data from both internal and external sources
Clean and remove irrelevant data information from usable data
Analyze data for weaknesses, trends, and/or opportunities
Create algorithms to solve problems and build new automation tools
Program Delivery
This program is available:
Admission Requirements
Students must complete
5 courses
before admission to the program.
Freshman and transfer students are usually admitted to premajor status
before admission to this major.
For information about University of Minnesota admission requirements, visit the
Office of Admissions
website.
Required prerequisites
Mathematics Core
Calculus I
MATH 1371  CSE Calculus I
[MATH]
(4.0 cr)
or
MATH 1271  Calculus I
[MATH]
(4.0 cr)
or
MATH 1571H  Honors Calculus I
[MATH]
(4.0 cr)
Calculus II
MATH 1372  CSE Calculus II
(4.0 cr)
or
MATH 1272  Calculus II
(4.0 cr)
or
MATH 1572H  Honors Calculus II
(4.0 cr)
Required prerequisites
Computer Science Introductory Core
Data Science Sequences
Preferred Data Science Sequence
CSCI 1133  Introduction to Computing and Programming Concepts
(4.0 cr)
CSCI 2081  Introduction to Software Development
(4.0 cr)
or
Alternative Sequence Options
In order to maximize course overlap, it is recommended that double majors in Computer Science and Data Science pursue one of the following sequences in place of the Data Science Sequence. CSCI 2081 cannot be used in the Computer Science programs.
CSCI 1133  Introduction to Computing and Programming Concepts
(4.0 cr)
CSCI 1933  Introduction to Algorithms and Data Structures
(4.0 cr)
CSCI 3081W  Program Design and Development
[WI]
(4.0 cr)
or
CSCI 1103  Introduction to Computer Programming in Java
(4.0 cr)
CSCI 1913  Introduction to Algorithms, Data Structures, and Program Development
(4.0 cr)
CSCI 3081W  Program Design and Development
[WI]
(4.0 cr)
or
CSCI 1113  Introduction to C/C++ Programming for Scientists and Engineers
(4.0 cr)
CSCI 1913  Introduction to Algorithms, Data Structures, and Program Development
(4.0 cr)
CSCI 3081W  Program Design and Development
[WI]
(4.0 cr)
Required prerequisites
Statistics Core
STAT 3021  Introduction to Probability and Statistics
(3.0 cr)
General Requirements
All students in baccalaureate degree programs are required to complete general University and college requirements including writing and liberal education courses. For more information about Universitywide requirements, see the
liberal education requirements.
Required courses for the major, minor or certificate in which a student receives a D grade (with or without plus or minus) do not count toward the major, minor or certificate (including transfer courses).
Program Requirements
All freshmen in the College of Science and Engineering must complete CSE 1001: FirstYear Experience.
At least 33 upperdivision credits in the major must be taken at the University of Minnesota Twin Cities campus.
Science Core
Physics I
PHYS 1301W  Introductory Physics for Science and Engineering I
[PHYS, WI]
(4.0 cr)
or
PHYS 1401V  Honors Physics I
[PHYS, WI]
(4.0 cr)
Second Science Options
PHYS 1302W  Introductory Physics for Science and Engineering II
[PHYS, WI]
(4.0 cr)
or
ESCI 2201  Solid Earth Dynamics
(4.0 cr)
or
GCD 3022  Genetics
(3.0 cr)
or
PHYS 1402V  Honors Physics II
[PHYS, WI]
(4.0 cr)
or
PSY 3011  Introduction to Learning and Behavior
(3.0 cr)
or
CHEM 1061  Chemical Principles I
[PHYS]
(3.0 cr)
CHEM 1065  Chemical Principles I Laboratory
[PHYS]
(1.0 cr)
or
CHEM 1071H  Honors Chemistry I
[PHYS]
(3.0 cr)
CHEM 1075H  Honors Chemistry I Laboratory
[PHYS]
(1.0 cr)
or
CHEM 1062  Chemical Principles II
[PHYS]
(3.0 cr)
CHEM 1066  Chemical Principles II Laboratory
[PHYS]
(1.0 cr)
or
CHEM 1072H  Honors Chemistry II
[PHYS]
(3.0 cr)
CHEM 1076H  Honors Chemistry II Laboratory
[PHYS]
(1.0 cr)
Data Science Core
CSCI 4707  Practice of Database Systems
(3.0 cr)
STAT 3301  Regression and Statistical Computing
(4.0 cr)
STAT 4051  Applied Statistics I
(4.0 cr)
IE 3013  Optimization for Machine Learning
(4.0 cr)
IE 5533  Operations Research for Data Science
(3.0 cr)
WRIT 3562W  Technical and Professional Writing
[WI]
(4.0 cr)
DSCI 4093  Data Science Senior Project Directed Study
(4.0 cr)
Discrete Structures & Algorithms
CSCI 3041  Introduction to Discrete Structures and Algorithms
(4.0 cr)
or
In order to maximize course overlap, it is recommended that double majors in Computer Science and Data Science pursue the following sequences in place of the Data Science Sequence. CSCI 3041 cannot be used in the Computer Science programs.
CSCI 2011  Discrete Structures of Computer Science
(4.0 cr)
CSCI 4041  Algorithms and Data Structures
(4.0 cr)
Systems and Systems Programming
CSCI 3061  Introduction to Computer Systems
(4.0 cr)
or
In order to maximize course overlap, it is recommended that double majors in Computer Science and Data Science pursue the following sequences in place of the Data Science Sequence. CSCI 3061 cannot be used in the Computer Science programs.
CSCI 2021  Machine Architecture and Organization
(4.0 cr)
CSCI 4061  Introduction to Operating Systems
(4.0 cr)
Multivariable Calculus
MATH 2374  CSE Multivariable Calculus and Vector Analysis
(4.0 cr)
or
MATH 2263  Multivariable Calculus
(4.0 cr)
or
MATH 2573H  Honors Calculus III
(4.0 cr)
Linear Algebra
CSCI 2033  Elementary Computational Linear Algebra
(4.0 cr)
or
MATH 2142  Elementary Linear Algebra
(4.0 cr)
or
Students who complete MATH 2243/2373/2471/2574H/3593H AND MATH 4242 qualify for a fourcredit waiver in the Data Science Technical Electives area. Students will need to contact a Departmental Advisor to request this waiver after MATH 4242 is completed.
MATH 4242  Applied Linear Algebra
(4.0 cr)
MATH 2243  Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2373  CSE Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2471  UM Talented Youth Mathematics ProgramCalculus II, Second Semester
[MATH]
(2.0 cr)
or
MATH 2574H  Honors Calculus IV
(4.0 cr)
or
MATH 3593H  Honors Mathematics II
(5.0 cr)
Machine Learning, Data Mining, or Statistical Learning
CSCI 5521  Machine Learning Fundamentals
(3.0 cr)
or
CSCI 5523  Introduction to Data Mining
(3.0 cr)
or
STAT 4052  Introduction to Statistical Learning
(4.0 cr)
Theory of Statistics
STAT 5102  Theory of Statistics II
(4.0 cr)
Approved Data Science Major Technical Electives
Students can take any approved data science technical electives from the following list to satisfy the minimum 18 credits required. Unique courses from CSCI, EE, IE, Math, or STAT with titles similar to independent study, directed research, special topics, honors thesis, or senior design can be approved for use as major technical electives if related to the study of data science with Director of Undergraduate Studies approval.
Approved Data Science Major Technical Elective Options
Take 18 or more credit(s) from the following:
·
CSCI 4131  Internet Programming
(3.0 cr)
·
CSCI 4271W  Development of Secure Software Systems
[WI]
(4.0 cr)
·
CSCI 5105  Introduction to Distributed Systems
(3.0 cr)
·
CSCI 5115  User Interface Design, Implementation and Evaluation
(3.0 cr)
·
CSCI 5117  Developing the Interactive Web
(3.0 cr)
·
CSCI 5123  Recommender Systems
(3.0 cr)
·
CSCI 5125  Collaborative and Social Computing
(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 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 5512  Artificial Intelligence II
(3.0 cr)
·
CSCI 5525  Machine Learning: Analysis and Methods
(3.0 cr)
·
CSCI 5561  Computer Vision
(3.0 cr)
·
CSCI 5609  Visualization
(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 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)
·
EE 4541  Digital Signal Processing
(3.0 cr)
·
EE 5239  Introduction to Nonlinear Optimization
(3.0 cr)
·
EE 5251  Optimal Filtering and Estimation
(3.0 cr)
·
EE 5351  Applied Parallel Programming
(3.0 cr)
·
EE 5355  Algorithmic Techniques for Scalable Manycore Computing
(3.0 cr)
·
IE 3011  Optimization I
(4.0 cr)
·
IE 3012  Optimization II
(4.0 cr)
·
IE 5111  Systems Engineering I
(2.0 cr)
·
IE 5113  Systems Engineering II
(4.0 cr)
·
IE 5531  Engineering Optimization I
(4.0 cr)
·
IE 5541  Project Management
(4.0 cr)
·
IE 5545  Decision Analysis
(4.0 cr)
·
IE 5553  Simulation
(4.0 cr)
·
IE 5561  Analytics and DataDriven Decision Making
(4.0 cr)
·
MATH 4242  Applied Linear Algebra
(4.0 cr)
·
MATH 4428  Mathematical Modeling
(4.0 cr)
·
MATH 5467  Introduction to the Mathematics of Image and Data Analysis
(4.0 cr)
·
MATH 5652  Introduction to Stochastic Processes
(4.0 cr)
·
STAT 4893W  Consultation and Communication for Statisticians
[WI]
(3.0 cr)
·
STAT 5201  Sampling Methodology in Finite Populations
(3.0 cr)
·
STAT 5401  Applied Multivariate Methods
(3.0 cr)
·
STAT 5421  Analysis of Categorical Data
(3.0 cr)
·
STAT 5511  Time Series Analysis
(3.0 cr)
·
STAT 5601  Nonparametric Methods
(3.0 cr)
·
STAT 5931  Topics in Statistics
(3.0 cr)
·
CSCI 4511W  Introduction to Artificial Intelligence
[WI]
(4.0 cr)
or
CSCI 5511  Artificial Intelligence I
(3.0 cr)
Upper Division Writing Intensive within the major
Students are required to take one upper division writing intensive course within the major. If that requirement has not been satisfied within the core major requirements, students must choose one course from the following list. Some of these courses may also fulfill other major requirements.
Upper Division Writing Intensive within the major
Take 0  1 course(s) from the following:
·
CSCI 4271W  Development of Secure Software Systems
[WI]
(4.0 cr)
·
CSCI 4511W  Introduction to Artificial Intelligence
[WI]
(4.0 cr)
·
CSCI 4970W  Advanced Project Laboratory
[WI]
(3.0 cr)
·
STAT 4893W  Consultation and Communication for Statisticians
[WI]
(3.0 cr)
·
WRIT 3562W  Technical and Professional Writing
[WI]
(4.0 cr)


Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1271/Math 1281/Math 1371/ 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1271/Math 1281/Math 1371/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1271/Math 1281/Math 1371/ 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/Math 1282/Math 1372/ 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/Math 1282/Math 1372/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/Math 1282/Math 1372/ 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1133/CSci 1133H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1133/CSci 1133H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1902/CSci 1933/CSci 1933H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 3081W/CSci 4018W/CSci4089 
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 & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 3081W/CSci 4018W/CSci4089 
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:  4.0 [max 4.0] 
Course Equivalencies:  CSci 3081W/CSci 4018W/CSci4089 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Phys 1201W/1301W/1401V/1501V 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Phys 1201W/1301W/1401V/1501V 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Phys 1202W/1302W/1402V/1502V 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  Biol 4003/GCD 3022 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Phys 1202W/1302W/1402V/1502V 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  Chem 1061/Chem 1071H/Chem 1081 
Typically offered:  Every Fall, Spring & Summer 
Credits:  1.0 [max 1.0] 
Course Equivalencies:  Chem 1065/Chem 1075H 
Grading Basis:  AF only 
Typically offered:  Every Fall, Spring & Summer 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  Chem 1061/Chem 1071H/Chem 1081 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  1.0 [max 1.0] 
Course Equivalencies:  Chem 1065/Chem 1075H 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  Chem 1062/Chem 1072H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  1.0 [max 1.0] 
Course Equivalencies:  Chem 1066/Chem 1076H 
Grading Basis:  AF only 
Typically offered:  Every Fall, Spring & Summer 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  Chem 1062/Chem 1072H 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  1.0 [max 1.0] 
Course Equivalencies:  Chem 1066/Chem 1076H 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4707/CSci 5707/INET 4707 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Periodic Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Writ 3562V/Writ 3562W 
Grading Basis:  AF only 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 2011/CSci 2011H 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4041/CSci 4041H 
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:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4061/INet 4001 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2263/Math 2374/Math 2573H 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2263/Math 2374/Math 2573H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2263/Math 2374/Math 2573H 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 1.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 4242/Math 4457 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Typically offered:  Every Fall & Spring 
Credits:  2.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  5.0 [max 5.0] 
Grading Basis:  AF or Aud 
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:  4.0 [max 4.0] 
Grading Basis:  AF only 
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 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 5651/Stat 5101 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4131/CSci 5131 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
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:  Spring Even Year 
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:  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 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 5512W/CSci 5512 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 
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] 
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 Fall & Summer 
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:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Odd Year 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  2.0 [max 2.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  IE 4541/IE 5541 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Periodic Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  IE 3553/IE 5553 
Typically offered:  Periodic Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 4242/Math 4457 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic 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:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4511W/CSci 5511 
Prerequisites:  2041 or # 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4511W/CSci 5511 
Prerequisites:  [2041 or #], grad student 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4511W/CSci 5511 
Prerequisites:  2041 or # 
Typically offered:  Every Spring 
Credits:  3.0 [max 9.0] 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Writ 3562V/Writ 3562W 
Grading Basis:  AF only 
Typically offered:  Every Fall, Spring & Summer 