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Academic Majors

 


Statistics

Today, most professional statistical training is received at the undergraduate, as well as at the graduate level. A major in statistics and a minor in any of the other related areas, such as mathematics, computer science, agriculture, biological sciences or social sciences provide a good blend of training suitable for many jobs in industry, government and academic institutions. It is becoming increasingly important for those in other disciplines to have good familiarity with basic statistical techniques and inference procedures.

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The Program

The Department of Statistics offers a major leading to bachelor's, master's and doctoral degrees. Two undergraduate minors are offered, one in applied statistics and the second in statistics. A graduate certificate in statistics is also available. A mathematics and statistics double major, the pre-actuarial science option and a degree in behavioral statistics are offered at the undergraduate level.

The department provides opportunities to study both applied and theoretical aspects of statistics. Computers are extensively used in statistics instruction, and statistical software packages and programs are utilized in various courses. Data analysis is an important aspect in applied statistics courses.

Career Opportunities

There are excellent opportunities in statistics. Major corporations and most government agencies continually look for talented individuals with this type of education. Since even greater job opportunities are open to those with advanced statistical training, many undergraduates proceed directly to graduate work in statistics. Many students combine statistics with areas such as business, education, economics or biology.

Career opportunities are varied. A statistician may:

  1. consult in the design and analysis of clinical studies, evaluating new pharmaceutical agents;
  2. design experiments for agricultural, ecological, environmental or energy-related studies;
  3. determine mortality, morbidity and accident rates for an insurance company;
  4. serve as an opinion pollster for a public relations firm or a television network;
  5. develop theories of learning and behavior in conjunction with psychologists;
  6. determine optimal combinations and evaluate performance of various chemicals in industrial setups;
  7. conduct reliability and quality control studies in various industries; or
  8. develop econometrics, time series and forecasting models for determining the cause and effects of various socio-economic variables on society.

Statisticians work closely with other scientists and researchers to develop new statistical techniques, adapt existing techniques, design experiments and direct analyses of surveys and retrospective studies.

The Facilities

The campus has several IBM compatible and Mac computer clusters connected to the campus network and the Internet. SAS, SPSS and IMSL are among the statistical packages available. Computer consultants are available to assist students if programming help is needed.

Statistics Curriculum

For a statistics major, 12 to 15 credits in mathematics, three to seven credits in computer science and 22 to 25 credits in statistics are required. A minor in one of the following is required:

social science, physical science, biological science, business, mathematics or computer science.

Students interested in biostatistics may minor in biological sciences, approved by the chair of the Department of Biological Sciences.

A student interested in business statistics may minor in business administration.

The Faculty

  • Seung Won Hyun,   Ph.D., Assistant Professor
    University of Missouri, 2010
    Field: Optimal Designs, Adaptive Design, Clinical Trials
  • Rhonda C. Magel,   Ph.D., Professor, Chair
    University of Missouri, 1982
    Field: Nonparametrics, Inference Under Order Restrictions, Regression
  • Volodymyr Melnykov,   Ph.D., Assistant Professor
    Iowa State University, 2009
    Field: Computational Statistics, Finite Mixture Models, Cluster Analysis, EM Algorithm
  • Gang Shen,  Ph.D., Assistant Professor
    Purdue University, 2009
    Field: Mathematical Statistics, Asymptotic Theory,
    Bayesian Analysis, Change-Point Problem
  • Ronald Degges,   M.S., Senior Lecturer
    North Dakota State University, 1995
    Field: Survival Analysis and Nonparametrics and Regression
  • Tatjana Miljkovic,  M.S., Lecturer
    Univeristy of Illinois, 1996
    Field: Actuarial

Sample Curriculum for Statistics

General Education Requirements

Credits

________________________________________________________

First Year Experience

   Univ. 189 - Skills for Academic Success

1

Communication

  Comm. 110 - Fundamentals of Public Speaking

3

  Engl. 110, 120 - College Composition I, II

3, 3

  English Upper Level Writing Course

3

Quantitative Reasoning

  Math. 165 - Calculus I

3

Science & Technology

10

Humanities & Fine Arts

6

Social and Behavioral Sciences Sciences

6

Wellness

2

Cultural Diversity

-

Global Perspective

-

Total

40


College and Department Requirements


Credits

________________________________________________________

Hum/Soc. Science Electives (B.S. Degree)

6

Hum/Soc. Science Electives (B.A. Degree)

12

Second Year Language Proficiency

-

Total

6-12


Major Requirements


Credits

________________________________________________________

Stat. 367 - Probability

3

Stat. 368 - Statistics

3

Stat. 461 - Applied Regression Models

3

Stat. 462 - Introduction to Experimental Design

3

Stat. 476 - Actuary Exam Study II or
  Stat. 491 - Seminar


1

Electives

15

Total

28


Related Requirements


Credits

________________________________________________________

CSci. 126 - Beginning FORTRAN or
 CSci. 160 - Computer Science I or
  CSci. 227 - Computer Fundamentals I



3 or 4

CSci. 222 - Discrete Math or
 Math. 270 - Introduction to Abstract Math


3

Math. 129 - Linear Algebra

2

Math. 166 - Calculus II

4

Math. 265 - Calculus III

4

Minor

16-20

Electives

10-15

Total

48

CURRICULUM TOTAL

122

Pre-Actuarial Option

A joint degree with mathematics with a pre-actuarial science option is also available.

Behavioral Statistics Requirements

The behavioral statistics degree is a joint effort between the Department of Statistics and the Department of Psychology. Students wishing to obtain a degree in behavioral statistics should consult with an adviser in both departments. Employment opportunities include working with medical or Medicare data. Graduates of this program are expected to have good quantitative reasoning skills and to have strong people skills.

Sample Curriculum for Behavioral Statistics

General Education Requirements

Credits

_______________________________________________________

First Year Experience

  Univ. 189 - Skills for Academic Success

1

Communication

  Comm. 110 - Fundamentals of Public Speaking

3

  Engl. 110, 120 - College Composition I, II

3, 3

  English Upper Level Writing Course

3

Quantitative Reasoning

  Stat. 330 - Introduction to Statistics

3

Science & Technology

  Biol. 126 - Human Biology

3

  Chem. 117, 117L - Chemical Concepts and application

3, 1

  CSci. 114 - Microcomputer Packages or
  CSci. 116 - Business Use of Computers


3-4

Humanities & Fine Arts

6

Social and Behavioral Sciences Sciences

  Anth. 111 - Introduction to Anthropology

3

  Soc. 110 - Introduction to Sociology

3

Wellnesss

2

Cultural Diversity

-

Global Perspective

-

Total

40

College and Department Requirements

Credits

_______________________________________________________

Hum/Soc. Science Electives (B.S. Degree)

6

Hum/Soc. Science Electives (B.A. Degree)

12

Second Year Language Proficiency

-

Total

6-12

Major Requirements

Credits

_______________________________________________________

Psyc. 111 - Introduction to Psychology

3

Psyc. 350 - Research Methods I

3

Psyc. 351 - Research Methods II

3

Psyc./Stat. 480 - History and Systems or
  Psyc./Stat. 489 - Honor's or
   Psyc./Stat. 491 - Seminar



1-3

Stat. 331 - Regression Analysis

2

Stat. 462 - Introduction to Experimental Design

3

Stat. 470 - Statistical SAS Programming

3

200-400 Level Psychology Electives

6

400 Level Psychology Electives

3

Psychology Behavior Electives

9

Statistics Electives

6

Total

42-44

Related Requirements

Credits

_______________________________________________________

Math. 103 - College Algebra or
  Math. 104 - Finite Math


3

Electives

23-31

Total

26-34

CURRICULUM TOTAL

122

This sample curriculum is not intended to serve as a curriculum guide for current students, but rather an example of course offerings for prospective students. For the curriculum requirements in effect at the time of entrance into a program, consult with an academic advisor or with the Office of Registration and Records.

Waldron Laboratory
Room 201F


Waldron Laboratory is located in the center of campus on Bolley Drive (Campus Map)

Contact Information

Dr. Rhonda Magel, Chair
Department of Statistics
North Dakota State University
Waldron 201
Dept 2770, PO Box 6050
Fargo, ND 58108-6050

Tel: (701) 231-7532 / Fax: (701) 231-8734
Email:Rhonda.Magel@ndsu.edu
Web: www.ndsu.edu/statistics/

Office of Admission
North Dakota State University
Ceres 114
Dept 5230, PO Box 6050
Fargo, ND 58108-6050

Tel: (701) 231-8643 / Fax: (701) 231-8802
Email: NDSU.Admission@ndsu.edu
Web: www.ndsu.edu/admission/


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Office of Admission
North Dakota State University
Phone: +1 (701) 231-8643 / Fax: (701) 231-8802
Campus address: Ceres Hall 114
Physical/delivery address: 1301 Administration Ave., Fargo, ND 58102
Mailing address: NDSU Dept. 5230 / PO Box 6050 / Fargo, ND 58108-6050
Page manager: NDSU WebMaster

Last Updated: Monday, September 22, 2014 1:45:53 PM