Campuses:
Twin Cities Campus
Statistical Practice B.A.Statistics, School of
College of Liberal Arts
Statistics is the science of learning from data, measuring, controlling, and communicating uncertainty. It provides the navigation essential for controlling the course of scientific and societal advances.
The statistical practice BA is intended for students who want to use their education as certification for work requiring statistical skills or as a basis for further education in another area like medicine, psychology, law or others. Compared to the BS degree, this program reduces the number of required mathematics courses and increases the number of applied statistics courses, or courses in a supporting quantitative area. Students who complete this program using statistics electives will have applied statistics training equivalent to most masters programs in statistics.
Program Delivery
This program is available:
Admission Requirements
Students must complete
1 courses
before admission to the program.
For information about University of Minnesota admission requirements, visit the
Office of Admissions
website.
Required prerequisites
Preparatory Course
Complete STAT 3011 or STAT 3021 with a grade of C or better in order to declare the statistical practice BA major.
Take exactly 1 course(s) totaling 3  4 credit(s) from the following:
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
Students are required to complete 4 semester(s) of
any second language.
with a grade of C, or better, or S, or demonstrate proficiency in the language(s) as defined by the department
or college.
All CLA BA degrees require 18 upperdivision (3xxxlevel or higher) credits outside the major designator. These credits must be taken in designators different from the major designator and cannot include courses that are crosslisted with the major designator. The major designator for the Statistical Practice BA is STAT.
At least 17 upperdivision credits in the major must be taken at the University of Minnesota  Twin Cities campus.
Students may earn no more than one degree from the statistics program: a BA or a BS or a minor.
All incoming CLA freshmen must complete the FirstYear Experience course sequence.
Calculus
Take exactly 2 course(s) totaling exactly 8 credit(s) from the following:
·
MATH 1271  Calculus I
[MATH]
(4.0 cr)
or
MATH 1371  CSE Calculus I
[MATH]
(4.0 cr)
or
MATH 1571H  Honors Calculus I
[MATH]
(4.0 cr)
·
MATH 1272  Calculus II
(4.0 cr)
or
MATH 1372  CSE Calculus II
(4.0 cr)
or
MATH 1572H  Honors Calculus II
(4.0 cr)
Programming for Statisticians
Take exactly 1 course(s) totaling exactly 4 credit(s) from the following:
Core Courses
Take exactly 6 course(s) totaling exactly 24 credit(s) from the following:
·
STAT 3032  Regression and Correlated Data
(4.0 cr)
·
STAT 3701  Introduction to Statistical Computing
(4.0 cr)
·
STAT 4051  Applied Statistics I
(4.0 cr)
·
STAT 4052  Introduction to Statistical Learning
(4.0 cr)
·
Choose one Theory of Statistics twocourse sequence. Note: Students interested in the BA/MS in biostatistics subplan should complete STAT 4101/4102 or STAT 5101/5102. In order to apply for admission to the subplan, these courses should be completed with a B or higher by the end of a student's 3rd year in the BA degree.
Electives
Take a total of 11 credits, at least 5 of which must be listed below as STAT Electives. Students planning to pursue a minor in mathematics, or an advanced degree in statistics or biostatistics should consult the undergraduate advisor for suggested coursework.
Take 11 or more credit(s) from the following:
STAT Electives
Take 5 or more credit(s) from the following:
·
STAT 3501  Internship in Statistical Practice
(1.0 cr)
·
STAT 5031  Statistical Methods for Quality Improvement
(4.0 cr)
·
STAT 5201  Sampling Methodology in Finite Populations
(3.0 cr)
·
STAT 5303  Designing Experiments
(4.0 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)
·
Other Electives
Take at most 6 credit(s) from the following:
·
CSCI 2011  Discrete Structures of Computer Science
(4.0 cr)
·
CSCI 2011H  Honors Discrete Structures of Computer Science
(4.0 cr)
·
CSCI 2021  Machine Architecture and Organization
(4.0 cr)
·
CSCI 2041  Advanced Programming Principles
(4.0 cr)
·
CSCI 3003  Introduction to Computing in Biology
(3.0 cr)
·
CSCI 3081W  Program Design and Development
[WI]
(4.0 cr)
·
CSCI 4011  Formal Languages and Automata Theory
(4.0 cr)
·
CSCI 4041  Algorithms and Data Structures
(4.0 cr)
·
CSCI 4041H  Algorithms and Data Structures
(4.0 cr)
·
CSCI 4061  Introduction to Operating Systems
(4.0 cr)
·
CSCI 4131  Internet Programming
(3.0 cr)
·
CSCI 4211  Introduction to Computer Networks
(3.0 cr)
·
CSCI 4511W  Introduction to Artificial Intelligence
[WI]
(4.0 cr)
·
CSCI 4611  Programming Interactive Computer Graphics and Games
(3.0 cr)
·
CSCI 4707  Practice of Database Systems
(3.0 cr)
·
CSCI 4950  Senior Software Project
(3.0 cr)
·
CSCI 4970W  Advanced Project Laboratory
[WI]
(3.0 cr)
·
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 5117  Developing the Interactive Web
(3.0 cr)
·
CSCI 5125  Collaborative and Social Computing
(3.0 cr)
·
CSCI 5143  RealTime and Embedded Systems
(3.0 cr)
·
CSCI 5161  Introduction to Compilers
(3.0 cr)
·
CSCI 5211  Data Communications and Computer Networks
(3.0 cr)
·
CSCI 5221  Foundations of Advanced Networking
(3.0 cr)
·
CSCI 5231  Wireless and Sensor Networks
(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 5403  Computational Complexity
(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 5471  Modern Cryptography
(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  Introduction to Machine Learning
(3.0 cr)
·
CSCI 5523  Introduction to Data Mining
(3.0 cr)
·
CSCI 5525  Machine Learning
(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 5609  Visualization
(3.0 cr)
·
CSCI 5611  Animation & Planning in Games
(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 and Virtual Globes to Spatial Computing
(3.0 cr)
·
CSCI 5801  Software Engineering I
(3.0 cr)
·
CSCI 5802  Software Engineering II
(3.0 cr)
·
MATH 2283  Sequences, Series, and Foundations
(3.0 cr)
·
MATH 3283W  Sequences, Series, and Foundations: Writing Intensive
[WI]
(4.0 cr)
·
MATH 4065  Theory of Interest
(4.0 cr)
·
MATH 4067W  Actuarial Mathematics in Practice
[WI]
(3.0 cr)
·
MATH 4151  Elementary Set Theory
(3.0 cr)
·
MATH 4152  Elementary Mathematical Logic
(3.0 cr)
·
MATH 4281  Introduction to Modern Algebra
(4.0 cr)
·
MATH 4428  Mathematical Modeling
(4.0 cr)
·
MATH 4512  Differential Equations with Applications
(3.0 cr)
·
MATH 4567  Applied Fourier Analysis
(4.0 cr)
·
MATH 4603  Advanced Calculus I
(4.0 cr)
·
MATH 4604  Advanced Calculus II
(4.0 cr)
·
MATH 4707  Introduction to Combinatorics and Graph Theory
(4.0 cr)
·
MATH 5067  Actuarial Mathematics I
(4.0 cr)
·
MATH 5068  Actuarial Mathematics II
(4.0 cr)
·
MATH 5075  Mathematics of Options, Futures, and Derivative Securities I
(4.0 cr)
·
MATH 5076  Mathematics of Options, Futures, and Derivative Securities II
(4.0 cr)
·
MATH 5165  Mathematical Logic I
(4.0 cr)
·
MATH 5166  Mathematical Logic II
(4.0 cr)
·
MATH 5248  Cryptology and Number Theory
(4.0 cr)
·
MATH 5251  ErrorCorrecting Codes, Finite Fields, Algebraic Curves
(4.0 cr)
·
MATH 5285H  Honors: Fundamental Structures of Algebra I
(4.0 cr)
·
MATH 5286H  Honors: Fundamental Structures of Algebra II
(4.0 cr)
·
MATH 5335  Geometry I
(4.0 cr)
·
MATH 5336  Geometry II
(4.0 cr)
·
MATH 5345H  Honors: Introduction to Topology
(4.0 cr)
·
MATH 5378  Differential Geometry
(4.0 cr)
·
MATH 5385  Introduction to Computational Algebraic Geometry
(4.0 cr)
·
MATH 5445  Mathematical Analysis of Biological Networks
(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 5525  Introduction to Ordinary Differential Equations
(4.0 cr)
·
MATH 5535  Dynamical Systems and Chaos
(4.0 cr)
·
MATH 5583  Complex Analysis
(4.0 cr)
·
MATH 5587  Elementary Partial Differential Equations I
(4.0 cr)
·
MATH 5588  Elementary Partial Differential Equations II
(4.0 cr)
·
MATH 5615H  Honors: Introduction to Analysis I
(4.0 cr)
·
MATH 5616H  Honors: Introduction to Analysis II
(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 Nonenumerative Combinatorics
(4.0 cr)
·
PUBH 3415  Introduction to Clinical Trials  Online
(3.0 cr)
·
PUBH 6420  Introduction to SAS Programming
(1.0 cr)
·
PUBH 6431  Topics in Hierarchical Bayesian Analysis
(1.0 cr)
·
PUBH 6432  Biostatistical Methods in Translational and Clinical Research
(1.0 cr)
·
PUBH 6470  SAS Procedures and Data Anaysis
(3.0 cr)
·
PUBH 7415  Introduction to Clinical Trials
(3.0 cr)
·
WRIT 3562W  Technical and Professional Writing
[WI]
(4.0 cr)
·
MATH 5711  Linear Programming and Combinatorial Optimization
(4.0 cr)
·
CSCI 4203  Computer Architecture
(4.0 cr)
or
EE 4363  Computer Architecture and Machine Organization
(4.0 cr)
Capstone: Consultation and Communication for Statisticians
The capstone is a course that focuses on how to interact and collaborate as a statistician on a multidisciplinary team. Students will learn about all aspects of statistical consulting by performing an actual consultation. This includes understanding the needs of the researcher or client, designing a study to investigate the client's needs, and communicating study results in a manner that a nonstatistician can understand.
Take exactly 1 course(s) totaling exactly 3 credit(s) from the following:
Students who double major and choose to complete the capstone requirement in their other major are still required to take the statistics BA capstone.
·
STAT 4893W  Consultation and Communication for Statisticians
[WI]
(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.
Take 0  1 course(s) from the following:
·
STAT 4893W  Consultation and Communication for Statisticians
[WI]
(3.0 cr)
Program Subplans
A subplan is not required for this program.
BA/MS Biostatistics
The College of Liberal Arts and the Division of Biostatistics of the School of Public Health offer an earlyadmission opportunity for eligible University of Minnesota Statistics BA and BS students also interested in completing the MS in biostatistics.
Interested statistics undergraduates should contact the School of Statistics advisor for more information. Students should apply during the fall semester of their junior year, with the intent of beginning the program the fall of their senior year.
Students admitted to the MS in Biostatistics subplan must maintain timely degree progress to ensure all undergraduate degree requirements are completed by the end of their fourth year. Students who are not successful in completing the required SPH courses at the end of their senior year may be placed on probation or dismissed from SPH.
To be considered for admission to the joint program, prospective students must be officially admitted to an undergraduate major (BA or BS) in the School of Statistics in the College of Liberal Arts at the University of Minnesota. All prerequisite courses should be completed with a B or better by the end of a student's junior year. Students should apply during the fall semester of their junior year with the intent of beginning the program the fall of their senior year.
Admitted students will take 9 Biostatistics course credits in their senior year (year 4, undergraduate credit), which will be applied to their MS degree. They will also take the remainder of the courses required to complete the bachelor's degree. The year 4 biostatistics courses include the core biostatistical methods courses (PubH 7405 and 7406, 8 credits total) and a course on essential skills for biostatistical practice (1 credit), which will teach students career development skills and "jobrelevant" computing and communications skills.
Prerequisite Courses
All prerequisite courses should be completed with a B or better by the end of Year 3 in the BA degree. Many prerequisite courses are already required for the BA degree, but it is important for students planning to apply to the subplan that they be taken in a timely manner, while considering the grade standards for admission to the subplan.
Take 0  6 course(s) from the following:
Statistical Theory
Take 2 courses for a total of 8 credits. In rare cases, students may be permitted to take STAT 5101/5102, or STAT 4101/4102, during their senior year concurrently with the usual Year 4 joint BA/MS program requirements.
·
Calculus
Take 3 courses for a total of 12 credits.
MATH 1271  Calculus I
[MATH]
(4.0 cr)
or
MATH 1371  CSE Calculus I
[MATH]
(4.0 cr)
or
MATH 1571H  Honors Calculus I
[MATH]
(4.0 cr)
MATH 1272  Calculus II
(4.0 cr)
or
MATH 1372  CSE Calculus II
(4.0 cr)
or
MATH 1572H  Honors Calculus II
(4.0 cr)
MATH 2263  Multivariable Calculus
(4.0 cr)
or
MATH 2374  CSE Multivariable Calculus and Vector Analysis
(4.0 cr)
or
MATH 2573H  Honors Calculus III
(4.0 cr)
·
Linear Algebra
Take 1 course for 4 credits.
·
CSCI 2033  Elementary Computational Linear Algebra
(4.0 cr)
or
MATH 2243  Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2373  CSE Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 4242  Applied Linear Algebra
(4.0 cr)
·
Statistical Programming
Experience in basic programming is strongly recommended; exposure to programming in a statistical software package (R or SAS) is preferred.
Year 4 Courses
The following courses should be taken during the 4th year of a student's BA degree, in addition to the other courses required to complete the BA.
Take PUBH 6460 and PUBH 7405 for a total of 5 credits during fall of year 4.
PUBH 6460  Essential Skills for Biostatistical Practics
(1.0 cr)
PUBH 7405  Biostatistics: Regression
(4.0 cr)
Take PUBH 7406 for 4 credits during spring of year 4.
PUBH 7406  Advanced Regression and Design
(4.0 cr)


Credits:  4.0 [max 4.0] 
Course Equivalencies:  (Select a set) 
Typically offered:  Every Fall, Spring & Summer 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00067  Math 1271/Math 1281/Math 1371/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1142/1271/1281/1371/1571H 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00067  Math 1142/1271/1281/1371/1571H 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/1282/1252/1372/1572 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/1282/1252/1372/1572 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00068  Math 1272/1282/1252/1372/1572 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall, Spring & Summer 
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 3.0] 
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 & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Stat 4102/5102 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00259  Math 5651/Stat 5101 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Stat 4102/5102 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00259  MATH 4653/Math 5651/Stat 5101 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Stat 4102/5102 
Typically offered:  Every Spring 
Credits:  1.0 [max 2.0] 
Prerequisites:  Statistics Major 
Grading Basis:  SN only 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall, Spring & Summer 
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:  02004 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  02004  CSci 2011/CSci 2011H 
Grading Basis:  AF only 
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:  3.0 [max 3.0] 
Course Equivalencies:  02621  CSci 3003/CSci 5465 
Typically offered:  Fall Odd Year 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00728  CSci 3081W/CSci 4018W/CSci4089 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  02015 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  02015 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  02667  CSci 4061/INet 4001 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4131/5131 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  00495  CSci 4211/CSci 5211/INET 4002 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  01666  CSci 4511W/CSci 5511 
Prerequisites:  2041 or # 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4707/5707/INET 4707 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 6.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  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] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  00495  CSci 4211/CSci 5211 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Odd 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] 
Prerequisites:  4041 or # 
Typically offered:  Periodic Fall & Spring 
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:  Periodic Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  01666 
Prerequisites:  [2041 or #], grad student 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 5512W/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 Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Odd Year 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4707/5707/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:  3.0 [max 3.0] 
Course Equivalencies:  Math 2283/3283W 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2283/3283W 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
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:  Math 4152/5165 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Periodic Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  01072  Math 4606/Math 5615/Math 5616 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  01776 
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 
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] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 4152/5165 
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] 
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 Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF only 
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] 
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] 
Typically offered:  Periodic Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 3574/5583 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
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] 
Typically offered:  Every 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:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Summer 
Credits:  1.0 [max 1.0] 
Typically offered:  Periodic Fall & Summer 
Credits:  1.0 [max 1.0] 
Grading Basis:  OPT No Aud 
Typically offered:  Every Summer 
Credits:  1.0 [max 1.0] 
Grading Basis:  OPT No Aud 
Typically offered:  Periodic Summer 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  01235  Writ 3562V/Writ 3562W 
Grading Basis:  AF only 
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 4203/EE 4363 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4203/EE 4363 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  00579 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 5204/EE 5364 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  00497  CSci 4921/HSci 4321 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  00497  CSci 4921/HSci 4321 
Typically offered:  Fall Even, Spring Odd Year 
Credits:  3.0 [max 3.0] 
Prerequisites:  Senior Statistics Major 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Prerequisites:  Senior Statistics Major 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Stat 4102/5102 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00259  Math 5651/Stat 5101 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Stat 4102/5102 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00067  Math 1271/Math 1281/Math 1371/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1142/1271/1281/1371/1571H 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00067  Math 1142/1271/1281/1371/1571H 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/1282/1252/1372/1572 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/1282/1252/1372/1572 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00068  Math 1272/1282/1252/1372/1572 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2263/2373/2573H/3251 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2263/2373/2573H/3251 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  00069  Math 2263/2374/3251 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/2373/2573 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/2373/2573 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  01212  Math 4242/Math 4457 
Typically offered:  Every Fall, Spring & Summer 
Credits:  1.0 [max 1.0] 
Grading Basis:  SN only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Prerequisites:  [7405, [STAT 5102 or &STAT 5102], biostatistics major] or # 
Typically offered:  Every Spring 