ENG

Mathematics: Computer Science

Bachelor of Arts

Coursework Location(s)

Main/Tucson

Areas of Interest
  • Business, Economics & Entrepreneurship
  • Computer & Information Science
  • Mathematics, Statistics & Data Science
  • Education & Human Development
  • Interdisciplinary Studies
If you are aspiring to earn a graduate degree or work in computer science, learn how this math degree can position you for in-demand careers. Computer scientists improve lives through the advancement and development of technology. Students earning a Bachelor of Science or Bachelor of Arts in Mathematics with a Computer Science emphasis are immersed in core mathematics coursework, as well as more specialized courses focusing on the logic and concepts underpinning advances in computer science. They are required to complete a minor or second major in Computer Science, as well. This major is a natural lead-in to various graduate programs and careers in everything from mobile app creation and front- and back-end web development to machine learning and data security. Computer scientists are in high demand in both public and private sectors to conceptualize, strategize and build technology solutions.
Learning Outcomes
Apply computational methods; Math majors should be able to apply computational methods and mathematical concepts to analyze scientific problems Apply mathematical models to current problems; Math majors should be able to critically evaluate and extend selected mathematical models in the current scientific literature. Create valid proofs; Students should be able to identify an appropriate proof strategy and almost always able to create a correct proof using multiple strategies as appropriate. Define Terms Precisely; Precision is essential in mathematics, and a crucial skill for math majors is to learn to define mathematical terms precisely. Effective communication of results; Math majors should be able to effectively communicate results to non-specialized audiences in written and verbal form. Recognize valid arguments; Logical rigor is a critical component of mathematical argumentation. We expect math majors to develop the ability to recognize when arguments are valid, and identify logical gaps and flaws.
Sample Courses
  • MATH 413: Linear Algebra
  • MATH 443: Theory of Graphs and Networks
  • MATH 445: Introduction to Cryptography
Career Fields
  • Tech startups
  • Software development
  • Information security
  • Machine learning
  • Data engineering
Level of Math
Substantial Knowledge
LEVEL OF SECOND LANGUAGE
4th Semester Proficiency
Pre-major Required?
NO
Sample Plans 2020 - Mathematics: Computer Science

First Year

1st Semester
Credits
Calculus I
3.00
ENGL 101 First-Year Composition
3.00
Tier I General Education
3.00
Second Language
4.00
General Elective
1.00
2nd Semester
Credits
MATH 129 Calculus II
3.00
Supporting Computer Science
3.00
ENGL 102 First-Year Composition
3.00
Tier I General Education
3.00
Second Language
4.00

Second Year

3rd Semester
Credits
MATH 223 Vector Calculus
4.00
MATH 313 Intro to Linear Algebra
3.00
Tier I General Education
3.00
Tier I General Education
3.00
Second Language
4.00
4th Semester
Credits
MATH 323 Formal Math Reasong + Wrtg
3.00
MATH 355 Anls Ord Diff Equations
3.00
Tier I General Education
3.00
Tier I General Education
3.00
Second Language
4.00

Third Year

5th Semester
Credits
Computer Science Mathematics Emphasis Sequence Course
3.00
Minor course
3.00
Tier II General Education
3.00
Tier II General Education
3.00
General Elective
3.00
6th Semester
Credits
Computer Science Mathematics Emphasis Sequence Course
3.00
Computer Science Emphasis Elective
3.00
Minor course
3.00
Tier II General Education
3.00
Tier II General Education
3.00

Fourth Year

7th Semester
Credits
Computer Science Emphasis Elective
3.00
Minor course
3.00
Minor course
3.00
General Elective
3.00
General Elective
3.00
8th Semester
Credits
Computer Science Emphasis Advisor Approved Course
3.00
Minor course
3.00
Minor course
3.00
General Elective
3.00

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