Example Plan of Study for 4+1 BS in Mathematics/MS in Statistics

Year Fall Spring N1 N2 N3 N4
1
  • MATH 1401 - Calculus I
  • [4 undergraduate non major courses]
  • MATH 2411 - Calculus II
  • [4 undergraduate non major courses]

 

8

 

24

 

0

 

0

2
  • MATH 2421 - Calculus III
  • MATH 3191 - Applied Linear Algebra
  • [3 undergraduate non major courses]
  • MATH 3000 - Introduction to Abstract Mathematics
  • MATH 3382 - Statistical Theory
  • [3 undergraduate non major courses]

 

13

 

18

 

0

 

0

Following the Spring semester, contact the Director of Statistical Programs to apply for entry into the 5 year BS/MS Program
3
  • 1 undergraduate MATH elective above 3000 excluding 3195, 3511, 3800, 3999 and 4830
  • MATH 1376 - Programming for Data Science
  • MATH 4310 - Introduction to Real Analysis I
  • [2 undergraduate non major courses]
  • 1 undergraduate MATH elective above 3000 excluding 3195, 3511, 3800, 3999 and 4830
  • [3 undergraduate non major courses]
  • MATH 5387 - Applied Regression Analysis

 

 

12

 

 

15

 

 

3

 

 

3

4
  • [2 undergraduate non major courses]
  • MATH 5310 - Probability
  • MATH Statistics Elective 1
  • [2 undergraduate non major courses]
  • MATH 5320 - Introduction to Mathematical Statistics
  • MATH 6330 - Workshop in Statistical Consulting

 

0

 

12

 

12

 

9

5
  • [2 undergraduate non major courses]
  • MATH Statistics Elective 2
  • MATH 5960 - Master's Project or MATH 5950 - Master's Thesis

GRADUATE FROM BS PROGRAM

  • MATH Statistics Elective 3
  • MATH Other Elective 1
  • MATH Other Elective 2

MATRICULATE INTO MS PROGRAM and GRADUATE FROM MS PROGRAM

 

0

 

6

 

15

 

0

Totals: 33 75 30 12

 

N1: Number of undergraduate hours applying to major requirements

N2: Number of undergraduate non-major hours

N3: Number of graduate hours

N4: Number of graduate hours that apply to both the BS in Mathematics and the MS in Statistics