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University of Montana Catalog 2025-2026

Computer Science-Mathematical Sciences B.S. (Combined Major)

The purpose of the combined program is to provide a thorough background in both allied disciplines and to inculcate a deeper understanding of their goals and methods. A student must complete 62 credits in the two disciplines:

  • 31 of these credits in Computer Science courses and
  • 31 of these credits in Mathematical Sciences courses.

Each student plans a program in consultation with a Computer Science and a Mathematical Sciences advisor. Students planning to attend graduate school in computer science or the mathematical sciences should consult with their respective advisors.

General Degree Requirements

To earn a baccalaureate degree, all students must complete successfully, in addition to any other requirements, the University of Montana General Education Requirements. Please refer to the General Education Requirements page for more information. 

Additional requirements for graduation can be found on the Degree/Certificate Requirements for Graduation page

Unless otherwise noted in individual program requirements, a minimum grade point average of 2.00 in all work attempted at the University of Montana-Missoula is required for graduation. Please see the Academic Policies and Procedures page for information on how your GPA is calculated.

Courses taken to satisfy the requirements of a major, minor, or certificate program must be completed with a grade of C- or better unless a higher grade is noted in the program requirements.

Bachelor of Science - Computer Science-Mathematical Science

Course Requirements

Mathematical Sciences Core
Complete all of the following courses:
M 171Calculus I4
or M 181 Honors Calculus I
M 172Calculus II4
or M 182 Honors Calculus II
M 221Introduction to Linear Algebra4
M 273Multivariable Calculus4
M 307Introduction to Abstract Mathematics3
or M 225 Introduction to Discrete Mathematics
Mathematical Sciences Electives 1
Complete 12 credits of the following courses:12
Introduction to Differential Equations
Discrete Mathematics
Number Theory
Discrete Optimization
Linear Optimization
Advanced Calculus I
Partial Differential Equations
Deterministic Models
History of Mathematics
Abstract Algebra I
Abstract Algebra II
Euclidean and NonEuclidean Geometry
Numerical Analysis
Statistical, Dynamical, and Computational Modeling
Data Science Analytics
Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms
Introduction to Complex Analysis
Introduction to Real Analysis
Graph Theory
Probability and Simulation
Probability Theory
Mathematical Statistics
Statistical Methods I
Statistical Methods II
Computer Science Core
Complete all of the following courses:
CSCI 150Introduction to Computer Science3
CSCI 151Interdisciplinary Computer Science I3
CSCI 152Interdisciplinary Computer Science II3
CSCI 232Intermediate Data Structures and Algorithms4
CSCI 258Web Application Development3
CSCI 332Advanced Data Structures and Algorithms3
CSCI 340Database Design3
Computer Science Electives 2
Complete 9 credits of upper-division (300-level or higher) CSCI courses. 9
Public Speaking Requirement
Complete the following course:
COMX 111AIntroduction to Public Speaking3
Total Hours65
1

The combined 9 credits of Computer Science Electives and twelve 12 credits of Mathematical Sciences Electives must include at least three 3 or 4 credit courses numbered 400 or above, with at least one chosen from each department (not including M 429 and STAT 451STAT 452).

2

A total of at most three of the 9 credits of Computer Science Electives may be in CSCI 398 or CSCI 498.

Four Year Plan

Plan of Study Grid
Freshman
AutumnHours
CSCI 150 Introduction to Computer Science 1 3
M 171 Calculus I 2 4
WRIT 101
College Writing I
or Introduction to Public Speaking
3-4
General Education Requirement 4
 Hours14-15
Spring
CSCI 151 Interdisciplinary Computer Science I 1 3
M 172 Calculus II 4
COMX 111A
Introduction to Public Speaking
or College Writing I
3-4
General Education Requirement 6
 Hours16-17
Sophomore
Autumn
CSCI 152 Interdisciplinary Computer Science II 3
CSCI 258 Web Application Development 3
M 225
Introduction to Discrete Mathematics
or Introduction to Abstract Mathematics
3
General Education Requirement 6
 Hours15
Spring
CSCI 232 Intermediate Data Structures and Algorithms 4
M 273 Multivariable Calculus 4
Elective 3
General Education Requirement 3
 Hours14
Junior
Autumn
CSCI 332 Advanced Data Structures and Algorithms 3
M 221 Introduction to Linear Algebra 4
General Education Requirement 3
Elective 6
 Hours16
Spring
CSCI 340 Database Design 3
Math Elective 300+ 3 3
Math Elective 300+ 3 3
General Education Requirement 3
Elective 3
 Hours15
Senior
Autumn
Math Elective 300+ 3 3-4
CSCI Elective 300+ 3 3
CSCI Elective 300+ 3 3
Elective 6
 Hours15-16
Spring
Math Elective 300+ 3 3-4
CSCI Elective 300+ 3 3
Elective 9
 Hours15-16
 Total Hours120-124

Last updated Autumn 2025

1

Students may begin with CSCI 151 in their first semester if they can pass a programming skills entrance exam.

2

This degree template can be adapted for students who are not ready to take M 171 (Calculus I) in their first semester.

3

Details regarding the Math and Computer Science Electives are in the Catalog and on Degree Works.  Choose these courses with your advisor.