Program
Title: Statistics B.A.
General Information 

Campus: 
University
of Minnesota, Morris 
<no
change> 
Career: 
Undergraduate 
<no
change> 
Program
type: 
Baccalaureate 
<no
change> 
Program
title (short): 
Statistics
B.A. 
<no
change> 
Program
title (long): 
Statistics
B.A. 
<no
change> 
Program
short description: 
Statistics 
<no
change> 
Additional
terms: 
á This
program is 8 semesters (4 years) long. á This
program does not need any summer terms. 
<no
change> 
Stakeholder
college(s): 
á
UMMScience & Math, Div of 
<no
change> 
Degreegranting
college(s): 
á
UMMScience & Math, Div of 
<no
change> 
Approver
college(s): 
á
UMMScience & Math, Div of 
<no
change> 
Administrative
college(s): 
á
UMMScience & Math, Div of 
<no
change> 
Budgetary
college(s): 
á
'UMMScience & Math, Div of'=100 
<no
change> 
Acad
plan code(s): 
á
'UMMScience & Math, Div of'=090020227 
<no
change> 
Department(s): 
á
Division of Science & Mathematics  Adm 
<no
change> 
First
term admitting students: 
Spring
2002 
<no
change> 
Effective
date: 
Fall 2005 
Fall
2007 
Degree: 
Bachelor
of Arts 
<no
change> 
Catalog
description: 
The
mission of the discipline is to create and apply statistical
methods/techniques for collecting, exploring, analyzing, and communicating
qualitative/quantitative information and to disseminate this knowledge
through teaching, scholarly activity, and outreach. Uncertainty
is a fact of life. Statistics is the science and art of enhancing knowledge
in the face of uncertainty by modeling, predictions, and decisions. Therefore
it is central to solutions of problems in medicine, law, industry,
technology, finance, business, public policy, computing, and science in
general. The need for statistics applies to almost every area of our lives. Objectives—The
statistics program provides an effective operational knowledge of the theory
and methods of statistics and the application of statistical methods in a
liberal arts environment. It seeks to enhance students' critical thinking in
making judgments based on data and provides students with the basic knowledge
and skills to make contributions to modern society. Students learn to
communicate and collaborate effectively with people in other fields and, in
the process, to understand the substance of these fields. The curriculum
prepares students to enter graduate school or pursue careers in statistical
fields at research institutions and industry. 
The
mission of the discipline is to create and apply statistical
methods/techniques for collecting, exploring, analyzing, and communicating
qualitative/quantitative information and to disseminate this knowledge
through teaching, scholarly activity, and outreach. Statistics
is the science and art of enhancing knowledge in the face of uncertainty by
modeling, predictions, and decisions. It is central to solutions of problems
in medicine, law, industry, technology, finance, business, public policy,
computing, and science in general. The need for statistics applies to almost
every area of our lives. Objectives—The
statistics program provides an effective operational knowledge of the theory
and methods of statistics and the application of statistical methods in a
liberal arts environment. It seeks to enhance students' critical thinking in
making judgments based on data and provides students with the basic knowledge
and skills to make contributions to modern society. Students learn to
communicate and collaborate effectively with people in other fields and, in
the process, to understand the substance of these fields. The curriculum
prepares students to enter graduate school or pursue careers in statistical
fields at research institutions and industry. 
RIASEC
codes: 

<no
change> 
Field
of study: 
Math,
Engineering, and Science 
<no
change> 
Program
contact(s): 
U of M internet ID: fordcj
Name: Carol Ford
Email address: fordcj@umn.edu
Telephone number: 320/5896300
Campus mailing address:
UMM Div of Science and
Math, RM 2550 Sci, M242A, 600 E 4th St, Morris, MN 56267 
<no
change> 
Program Requirements 

Program
length in credits: 
120
credits 
<no
change> 
Major
length in credits: 
39
credits 
<no
change> 
Number
of semesters of a second language that are required: 
2 
0 
Specific
language(s) required: 
Any
Second Language 
No
Second Language 
Other
requirements: 
Students
planning to pursue graduate work in statistics or biostatistics should
complete MATH 2101 and consider taking MATH 2202 and 3211 for Ph.D.
preparation. 
The
GPA in these courses must be at least 2.00. Students
planning to pursue graduate work in statistics or biostatistics should
complete MATH 2101Calculus III and consider taking MATH 2202Mathematical
Perspectives and Math 3211Analysis for Ph.D. preparation. 
Required
course(s): 
Major
Core Curriculum MATH 1101  Calculus I, M/SR (5.0 cr)
MATH 1102  Calculus II, M/SR (5.0 cr)
STAT 2501  Probability and Stochastic
Processes, M/SR (4.0 cr)
STAT 2611  Mathematical Statistics, M/SR
(4.0 cr)
STAT 3601  Data Analysis, M/SR (4.0 cr)
STAT 4901  Senior Seminar, M/SR (1.0 cr)
STAT 1601  Introduction to Statistics, M/SR
(4.0 cr)
or STAT 2601  Statistical Methods, M/SR (4.0
cr) 
Required
Courses MATH 1101  Calculus I, M/SR (5.0 cr)
MATH 1102  Calculus II, M/SR (5.0 cr)
STAT 2501  Probability and Stochastic
Processes, M/SR (4.0 cr)
STAT 2611  Mathematical Statistics, M/SR
(4.0 cr)
STAT 3601  Data Analysis, M/SR (4.0 cr)
STAT 4901  Senior Seminar, M/SR (1.0 cr)
STAT 1601  Introduction to Statistics, M/SR
(4.0 cr)
or STAT 2601  Statistical Methods, M/SR (4.0
cr) 
Elective
Courses Take
8 or more credit(s) from the following:
á STAT 3611  Multivariate Statistical
Analysis, M/SR (4.0 cr)
á STAT 4601  Biostatistics, M/SR (4.0 cr)
á STAT 4611  Statistical Consulting, M/SR
(4.0 cr)
á STAT 4631  Design and Analysis of
Experiments, M/SR (4.0 cr)
á STAT 4651  Applied Nonparametric
Statistics, M/SR (4.0 cr)
á STAT 1993  Directed Study (1.05.0 cr)
á STAT 2993  Directed Study (1.05.0 cr)
á STAT 3993  Directed Study (1.05.0 cr)
á STAT 4993  Directed Study (1.05.0 cr) 
Elective
Courses Take
8 or more credit(s) from the following:
á STAT 3611  Multivariate Statistical
Analysis, M/SR (4.0 cr)
á STAT 4601  Biostatistics, M/SR (4.0 cr)
á STAT 4611  Statistical Consulting, M/SR
(4.0 cr)
á STAT 4631  Design and Analysis of
Experiments, M/SR (4.0 cr)
á STAT 4651  Applied Nonparametric Statistics,
M/SR (4.0 cr)
á STAT 1993  Directed Study (1.05.0 cr)
á STAT 2993  Directed Study (1.05.0 cr)
á STAT 3993  Directed Study (1.05.0 cr)
á STAT 4993  Directed Study (1.05.0 cr) 

Related
Discipline Course Take
4 or more credit(s) from the following: Choose
from the list below or from courses with faculty approval.
á CSCI 1211  Introduction to Problem Solving
with Java, M/SR (4.0 cr)
á CSCI 1301  Problem Solving and Algorithm
Development I, M/SR (4.0 cr)
á CSCI 1302  Problem Solving and Algorithm
Development II, M/SR (4.0 cr)
á ECON 3501  Introduction to Econometrics,
M/SR (4.0 cr)
á MATH 2101  Calculus III, M/SR (4.0 cr)
á MATH 2111  Linear Algebra, M/SR (4.0 cr)
á MATH 2202  Mathematical Perspectives, M/SR
(4.0 cr)
á MATH 3401  Operations Research, M/SR (4.0
cr)
á MATH 3501  Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
á MATH 3502  Applied Probabilistic Modeling
for Management Science, M/SR (2.0 cr)
á MATH 3221  Analysis, M/SR (4.0 cr)
á POL 3101  Political Science Analysis, SS
(4.0 cr)
á PSY 3601  Quantitative Methods in
Psychology, M/SR (4.0 cr)
á SOC 3101  Research Methodology I (4.0 cr)
á SOC 3102  Research Methodology II (4.0 cr) 
Additional
Elective Courses Take
4 or more credit(s) from the following: Choose
from the list below or from courses with faculty approval.
á CSCI 1301  Problem Solving and Algorithm
Development I, M/SR (4.0 cr)
á CSCI 1302  Problem Solving and Algorithm
Development II, M/SR (4.0 cr)
á ECON 3501  Introduction to Econometrics,
M/SR (4.0 cr)
á MATH 2101  Calculus III, M/SR (4.0 cr)
á MATH 2111  Linear Algebra, M/SR (4.0 cr)
á MATH 2202  Mathematical Perspectives, M/SR
(4.0 cr)
á MATH 3221  Analysis, M/SR (4.0 cr)
á MATH 3401  Operations Research, M/SR (4.0
cr)
á MATH 3501  Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
á MATH 3502  Applied Probabilistic Modeling
for Management Science, M/SR (2.0 cr)
á POL 3101  Political Science Analysis, SS
(4.0 cr)
á PSY 3601  Quantitative Methods in
Psychology, M/SR (4.0 cr)
á SOC 3101  Research Methodology I (4.0 cr)
á SOC 3102  Research Methodology II (4.0 cr) 