Program
Title: Statistics Minor
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General Information |
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Campus: |
University
of Minnesota, Morris |
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change> |
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Career: |
Undergraduate |
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Program
type: |
Minor
Related to a Major |
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change> |
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Program
title (short): |
Statistics |
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change> |
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Program
title (long): |
Statistics
Minor |
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change> |
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Program
short description: |
Statistics |
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Additional
terms: |
á á This
program does not need any summer terms. |
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Stakeholder
college(s): |
á
UMM-Science & Math, Div of |
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change> |
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Degree-granting
college(s): |
á
UMM-Science & Math, Div of |
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change> |
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Approver
college(s): |
á
UMM-Science & Math, Div of |
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change> |
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Administrative
college(s): |
á
UMM-Science & Math, Div of |
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change> |
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Budgetary
college(s): |
á
'UMM-Science & Math, Div of'=100 |
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Acad
plan code(s): |
á
'UMM-Science & Math, Div of'=0900MIN27 |
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Department(s): |
á
Division of Science & Mathematics - Adm |
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First
term admitting students: |
Spring
2002 |
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change> |
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Effective
date: |
Summer
2006 |
Fall
2007 |
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Degree: |
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Catalog
description: |
The
mission of the discipline is to create and apply 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. |
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RIASEC
codes: |
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change> |
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Field
of study: |
Math,
Engineering, and Science |
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change> |
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Program
contact(s): |
U of M internet ID: fordcj
Name: Carol Ford
E-mail address: fordcj@umn.edu
Telephone number: 320/589-6300
Campus mailing address:
UMM Div of Science and
Math, RM 2550 Sci, M242A, 600 E 4th St, Morris, MN 56267 |
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change> |
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Narrative Materials |
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Admission Requirements |
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Program Requirements |
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Minor
length in credits: |
24
credits |
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change> |
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Major
length in credits: |
-2147483648
credits |
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change> |
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Number
of semesters of a second language that are required: |
0 |
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change> |
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Specific
language(s) required: |
No
Second Language |
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change> |
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Other
requirements: |
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The
GPA in these courses must be at least 2.00. |
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Required
course(s): |
Minor
Requirements STAT 3601 - Data Analysis, M/SR (4.0 cr)
STAT 1601 - Introduction to Statistics, M/SR
(4.0 cr)
or STAT 2601 - Statistical Methods, M/SR (4.0
cr) |
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change> |
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Minor
Elective Courses Take
16 or more credit(s) from the following:
á Stat courses Take
1 or more course(s) from the following:
á STAT 2501 - Probability and Stochastic
Processes, M/SR (4.0 cr)
á STAT 2611 - Mathematical Statistics, M/SR
(4.0 cr)
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 (1.0-5.0 cr)
á STAT 2993 - Directed Study (1.0-5.0 cr)
á STAT 3993 - Directed Study (1.0-5.0 cr)
á STAT 4993 - Directed Study (1.0-5.0 cr)
á Non-stat courses Take
0 or more course(s) from the following:
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 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) |
Minor
Elective Courses Take
16 or more credit(s) from the following:
á Stat courses Take
1 or more course(s) from the following:
á STAT 2501 - Probability and Stochastic
Processes, M/SR (4.0 cr)
á STAT 2611 - Mathematical Statistics, M/SR
(4.0 cr)
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 (1.0-5.0 cr)
á STAT 2993 - Directed Study (1.0-5.0 cr)
á STAT 3993 - Directed Study (1.0-5.0 cr)
á STAT 4993 - Directed Study (1.0-5.0 cr)
á Non-stat courses Take
0 or more course(s) from the following:
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) |
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