To qualify for a Bachelor of Science in Applied and Computational Mathematics, a student must satisfactorily complete with a grade of C or better each of the following courses. Changes from the standard program must be approved by the department. 

Learning Goals

  • Have a broad perspective on modern mathematics and its applications.
  • Master basic mathematical and computational ideas and techniques in calculus, abstract algebra, analysis, geometry, differential equations, numerical analysis, probability, and statistics.  
  • Be able to analyze quantitative information and apply mathematical and computational techniques and concepts where appropriate.
  • Be able to effectively communicate rigorous mathematical ideas and reasoning.

Foundational Courses (29 credits) 

  • 50:640:121, 122, 123 Calculus I, II, and III (12 credits)
  • 50:640:250 Linear Algebra OR 50:640:253 Linear Algebra with Applications (3 credits)
  • 50:750:131 Elements of Physics I AND 50:750:133 Lab (4 credits)
  • 50:198:111 Programming Fundamentals (4 credits)
  • 50:198:113 Object Oriented Programming (3 credits)
  • 50:198:171 Mathematical Foundations of Computer Science (3 credits)

Lower-level Elective Courses (4 credits – choose 1 course from the list below)

  • 50:750:132 Elements of Physics II AND 50:750:134 Lab (4 credits)
  • 50:120:101 General Biology I AND 50:120:107 Lab (4 credits)

Mid-level Required Courses (6 credits)

  • 50:640:314 Elementary Differential Equations (3 credits) 
  • 50:640:331 Probability and Stochastic Processes (3 credits) 

Mid-level Elective Courses (3 credits – choose 1 course from the list below)

  • 50:198:213 Data Structure (3 credits) 
  • 50:640:357 Introduction to Computational Math (3 credits)

Statistics Elective Courses (3 credits – choose 1 course from the list below)

  • 50:960:336 Applied Statistics (3 credits)
  • 50:960:481 Mathematical Statistics (3 credits)

Upper-level Elective Courses (12 credits – choose 4 courses from the list below)

  • 50:640:403 Introduction to Functions of a Complex Variable (3 credits)
  • 50:640:427 Advanced Differential Equations (3 credits)
  • 50:640:450 Advanced Linear Algebra (3 credits) 
  • 50:640:456 Computational Number Theory (3 credits)
  • 50:640:463 Applied Partial Differential Equations (3 credits) 
  • 50:640:497 Advanced Computational Math (3 credits) 
  • 50:960:489 Statistical Models (3 credits) 
  • 50:198:481 Numerical Methods (3 credits)

Total: 57 credits