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Statistics Minor

Description
There is a growing demand from many areas for graduates who have at least some statistics on their resume. This is evidenced in the very large number of majors (from CLAS, NSFA, College of Engineering, and others) who require specific statistics courses. The minor in statistics (effective Spring 2014) allows such students and others to obtain a very attractive addition to their qualifications through a relatively small number of credits in addition to the requirements for their major.

Contact Person:   Prof. Pushpa Gupta, 321 Neville Hall.

Overview of minor requirements:

  • Prerequisites:  MAT 126 – Calculus I, MAT 127 – Calculus II.  (These are not considered part of the minor but represent necessary background.)
  • Minimum number of credits required to earn minor: 19 or 20 (depending on option below)
  • Minimum cumulative GPA required to earn the minor: 2.0
  • Minimum grade requirement for courses to count toward minor: C
  • The minor consists of MAT 228, followed by either six or seven credits from the required statistics courses (depending on the option chosen), and nine credits from an extensive list of upper-level statistics courses.

Required mathematics course:

  • MAT 228 – Calculus III (4 credits)

Required statistics courses:

  •  Either: MAT 434 – Introduction to Statistics (4 credits) OR MAT 332 – Statistics for Engineers (3 credits) OR an approved equivalent course in statistics
  •  MAT 435 – Continuation of MAT 434 (3 credits – typically offered every spring)

Any three of the following statistics courses:
(Please note: several of the course numbers in the following list do not exist yet, so in the interim a topics course (MAT 400 or MAT 500) of the same title can be used.)

  • MAT 436 – Nonparametric statistics (3 credits – typically offered spring semester, even years)
  • MAT 437 – Statistical methods in research (3 credits – typically offered every fall)
  • MAT 438 – Topics in actuarial science (3 credits – typically offered every spring semester)
  • MAT 531 – Mathematical Statistics I (3 credits – typically offered fall semester, odd years)
  • MAT 532 – Mathematical Statistics II (3 credits – typically offered spring semester, even years)
  • MAT 533 – Stochastic systems (3 credits – typically offered spring semester, even years)
  • MAT 535 – Multivariate statistical methods (3 credits – typically offered spring semester, even years)
  • MAT 536 – Analysis of count data (3 credits – typically offered fall semester, even years)
  • MAT 537 – Statistical methods in research II (3 credits – typically offered spring semester, odd years)
  • MAT 538 – Bayesian statistics (3 credits – typically offered fall semester, odd years)
  • MAT 539 – Linear statistical models (3 credits – typically offered fall semester, odd years)
  • Other approved courses, as available.