Major in Mathematics, Computational Mathematics Concentration

Program Overview

The Computational Mathematics Concentration prepares students for careers in industry and graduate research. The program emphasizes mathematics underlying the computational sciences, with coursework structured across four years. Students complete 120 credits, including core courses in calculus, linear algebra, computer science, and mathematics. The program prepares graduates for careers in data science, information security, and other computational fields.

Program Outline

Degree Overview:

The Computational Mathematics Concentration prepares students for careers in industry and graduate work in mathematics. The coursework emphasizes mathematics that underlies the computational sciences.

Outline:

The program is structured across four years, with a total of 120 credits required for graduation. The program is divided into semesters, with specific courses recommended for each semester.

Freshman Year:

• Semester 1:
• CO 150 College Composition (GT-CO2) - 3 credits
• MATH 192 First Year Seminar in Mathematical Sciences - 1 credit
• CS 150B Culture and Coding: Python (GT-AH3) or CS 152 Python for STEM - 3 credits
• Diversity, Equity, and Inclusion - 3 credits
• Pre-Calculus Requirements (MATH 117, MATH 118, MATH 124, MATH 125, MATH 126) - if needed
• Semester 2:
• MATH 161 Calculus for Physical Scientists II (GT-MA1) or MATH 256 Mathematics for Computational Science II - 4 credits
• CS 162 or CS 164 (CS1 - Introduction to Java Programming or CS1 - Computational Thinking with Java) - 3-7 credits
• Arts and Humanities - 3 credits
• Historical Perspectives - 3 credits
• Biological and Physical Sciences - 3 credits
• Elective - 0-4 credits

Sophomore Year:

• Semester 3:
• CS 165 CS2 - Data Structures - 4 credits
• CS 220 Discrete Structures and their Applications or MATH 235 Introduction to Mathematical Reasoning - 2-4 credits
• DSCI 369 Linear Algebra for Data Science or MATH 369 Linear Algebra I - 3-4 credits
• Arts and Humanities - 3 credits
• Semester 4:
• STAT 303/ECE 303 Introduction to Communications Principles or STAT 315 Intro to Theory and Practice of Statistics - 3 credits
• Biological and Physical Sciences - 4 credits
• Social and Behavioral Sciences - 3 credits
• Electives - 5-8 credits

Junior Year:

• Semester 5:
• MATH 360 Mathematics of Information Security or MATH 366 Introduction to Abstract Algebra - 3 credits
• Mathematical Science Electives - 6 credits
• Mathematical/Computer Science Electives - 3 credits
• Elective - 3 credits
• Semester 6:
• CS 320 Algorithms - Theory and Practice or MATH 317 Advanced Calculus of One Variable - 3 credits
• Mathematical Sciences Electives - 3 credits
• Mathematical/Computer Science Electives - 3 credits
• Electives - 6 credits

Senior Year:

• Semester 7:
• JTC 300 Strategic Writing and Communication (GT-CO3) - 2 credits
• Mathematical Science Electives - 3 credits
• Mathematical/Computer Science Electives - 3 credits
• Electives - 6 credits
• Semester 8:
• MATH 435 Projects in Applied Mathematics or MATH 460 Information and Coding Theory - 3 credits
• Mathematical/Computer Science Electives - 3 credits
• Electives - 9 credits

Other:

• A minimum grade of 'C' (2.000) is required in all mathematics, statistics, and computer science courses that are required for graduation.
• The curriculum assumes students enter college prepared to take calculus.
Students who are not prepared will need to fulfill pre-calculus requirements in the first semester.
• The program requires a minimum of 42 upper-division (300- to 400-level) credits.