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Statistics B.A.

Division of Science & Mathematics - Adm
Division of Science and Mathematics
  • Program Type: Baccalaureate
  • Requirements for this program are current for Fall 2014
  • Required credits to graduate with this degree: 120
  • Required credits within the major: 39
  • Degree: Bachelor of Arts
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 the environment, 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 in the industry.
Program Delivery
This program is available:
  • via classroom (the majority of instruction is face-to-face)
Admission Requirements
For information about University of Minnesota admission requirements, visit the Office of Admissions website.
General Requirements
All students are required to complete general University and college requirements. For more information, see the general education requirements.
Program Requirements
Students are required to take 2 semester(s) of any second language.
The GPA in these courses must be at least 2.00. Courses may not be taken S-N, unless offered S-N only. Students planning to pursue graduate work in statistics or biostatistics should complete MATH 2101--Calculus III and consider taking MATH 2202--Mathematical Perspectives and MATH 3211--Analysis for Ph.D. preparation.
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 (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:
· STAT 1993 - Directed Study (1.0-5.0 cr)
· STAT 2993 - Directed Study (1.0-5.0 cr)
· STAT 3501 - Survey Sampling [M/SR] (4.0 cr)
· STAT 3611 - Multivariate Statistical Analysis [M/SR] (4.0 cr)
· STAT 3993 - Directed Study (1.0-5.0 cr)
· STAT 4601 - Biostatistics (4.0 cr)
· STAT 4611 - Statistical Consulting (4.0 cr)
· STAT 4631 - Design and Analysis of Experiments (4.0 cr)
· STAT 4651 - Applied Nonparametric Statistics (4.0 cr)
· STAT 4671 - Statistical Computing (4.0 cr)
· STAT 4681 - Introduction to Time Series Analysis (4.0 cr)
· STAT 4993 - Directed Study (1.0-5.0 cr)
Additional Elective Courses
Choose from the list below or from courses with faculty approval.
Take 4 or more credit(s) from the following:
· CSCI 1201 - Introduction to Digital Media Computation [M/SR] (4.0 cr)
· CSCI 1251 - Computational Data Management and Manipulation [M/SR] (4.0 cr)
· CSCI 1301 - Problem Solving and Algorithm Development [M/SR] (4.0 cr)
· CSCI 1302 - Foundations of Computer Science [M/SR] (4.0 cr)
· CSCI 4403 - Systems: Data Mining (2.0 cr)
· CSCI 4458 - Systems: Bioinformatic Systems (4.0 cr)
· CSCI 4555 - Theory: Neural Networks and Machine Learning (4.0 cr)
· ECON 3501 - Introduction to Econometrics [M/SR] (4.0 cr)
· MATH 2101 - Calculus III [M/SR] (4.0 cr)
· MATH 2111 - Linear Algebra [M/SR] (4.0 cr)
· MATH 2202 - Mathematical Perspectives [M/SR] (4.0 cr)
· MATH 3221 - Analysis [M/SR] (4.0 cr)
· MATH 3401 - Operations Research [M/SR] (4.0 cr)
· MATH 3501 - Applied Deterministic Modeling for Management Science [M/SR] (2.0 cr)
· MATH 3502 - Applied Probabilistic Modeling for Management Science [M/SR] (2.0 cr)
· POL 2001 - Political Science Research Methods [SS] (4.0 cr)
· PSY 2001 - Research Methods in Psychology [SS] (4.0 cr)
· SOC 3103 - Research Methodology in Sociology [SS] (4.0 cr)
· SOC 3131 - World Population [ENVT] (4.0 cr)
 
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View college catalog(s):
· Division of Science and Mathematics

View sample plan(s):
· Statistics 1
· Statistics 2

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· Statistics B.A.
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