Major Requirements - Mathematics

These requirements will apply to students enrolling at AU in the 2017-2018 academic year. Current students can find the requirements that apply to them by consulting the relevant academic catalog.

Required Core: 28 semester hours

  • MTH2210 Calculus I (4)
  • MTH2220 Calculus II (4)
  • MTH2230 Calculus III (4)
  • MTH3240 Probability and Statistics I (4)
  • MTH3250 Linear Algebra (4)
  • MTH3270 Discrete Mathematics (4)
  • MTH4990 Senior Seminar in the Mathematics Sciences I (2)
  • MTH4991 Senior Seminar in the Mathematics Sciences II (2)

Selected Courses: Choose at least 12 semester hours from the selected list

  • CSC2650 Data Structures and Algorithms (4)
  • MTH2810, 3810, 4810 Selected Topic in Mathematics (4)
  • MTH3260 Probability and Statistics II (4)
  • MTH3280 Biostatistics (4)
  • MTH3300 Differential Equations (4)
  • MTH3320 Modern Geometry (4)
  • MTH3350 History of Mathematics (4)
  • MTH3490 Numerical Analysis (4)
  • MTH3505 Data Science I: Analysis and Modeling (4)
  • MTH3510 Data Science II: Advanced Modeling and Statistical Programming (4)
  • MTH3590 Business Analytics (4)
  • MTH4450 Abstract Algebra (4)
  • MTH3830, 4830 Directed Study (1–4)
  • MTH4260 Number Theory (4)
  • MTH4300 Introduction to Real Analysis (4)
  • MTH4970 Research in Mathematics (1–4)
  • MTH4980 Independent Study (1–4) 

Required Course: 4 semseter hours

  • CSC1700 Introduction to Computer Programming (4)

Students may choose to focus their study of mathematics by selecting one of
the following three emphases.

Pure Mathematics Emphasis: Fulfilled by taking the three selected courses.
This is especially appropriate for students wishing to pursue graduate studies in mathematics.

  • MTH3320 Modern Geometry (4)
  • MTH4300 Introduction to Real Analysis (4)
  • MTH4450 Abstract Algebra (4)

Applied Mathematics Emphasis: Fulfilled by taking the three selected courses.
This is especially appropriate for students wishing to pursue careers in business and industry or applied graduate degrees.

  • MTH3300 Differential Equations (4)
  • MTH3490 Numerical Analysis (4)
  • MTH4300 Introduction to Real Analysis (4)

Statistics Emphasis: Fulfilled by taking the three selected courses.
This is especially appropriate for students wishing to pursue careers in quantitative analysis or a graduate degree in statistics.

  • MTH3260 Probability and Statistics II (4)
  • MTH3505 Data Science I: Analysis and Modeling (4)
  • MTH3510 Data Science II: Advanced Modeling and Statistical Programming (4)