Computer Science B.S. - Algorithm Design
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; CONCENTRATION IN ALGORITHM DESIGN
Course Requirements
| Code | Title | Hours |
|---|---|---|
| Computer Science Core Courses | ||
| Complete all of the following courses: | ||
| CSCI 106 | Careers in Computer Science | 1 |
| CSCI 150 | Introduction to Computer Science | 3 |
| CSCI 151 | Interdisciplinary Computer Science I | 3 |
| CSCI 152 | Interdisciplinary Computer Science II | 3 |
| CSCI 232 | Intermediate Data Structures and Algorithms | 4 |
| CSCI 258 | Web Application Development | 3 |
| CSCI 315E | Computers, Ethics, and Society (fulfills the Advanced Writing Requirement) | 3 |
| CSCI 332 | Advanced Data Structures and Algorithms | 3 |
| CSCI 340 | Database Design | 3 |
| M 171 | Calculus I | 4 |
| M 225 | Introduction to Discrete Mathematics | 3 |
| Science Core | ||
| Rule: Complete 1 of the following subcategories of science sequences. 9-10 total credits required. | 9-10 | |
Biology Sequence Option | ||
| Principles of Living Systems | ||
| Principles of Living Systems Lab | ||
| Principles of Biological Diversity | ||
| Principles of Biological Diversity Lab | ||
Chemistry Sequence Option | ||
| College Chemistry I | ||
| College Chemistry I Lab | ||
| College Chemistry II | ||
| College Chemistry II Lab | ||
Physics Sequence Option | ||
| Fundamentals of Physics with Calculus I | ||
| Physics Laboratory I with Calculus | ||
| Fundamentals of Physics with Calculus II | ||
| Physics Laboratory II with Calculus | ||
| Science Electives | ||
| Complete two of the following courses. Laboratory courses must be taken in conjunction with their associated lecture course. The Biology, Chemistry, or Physics sequence chosen to fulfill the science core may not count toward the science electives requirement. | 6-10 | |
| Planetary Astronomy and Planetary Astronomy Lab | ||
| Stars, Galaxies, and the Universe and Stars, Galaxies, and the Universe Lab | ||
| Principles of Living Systems and Principles of Living Systems Lab | ||
| Principles of Biological Diversity and Principles of Biological Diversity Lab | ||
| Microbiology for Health Sciences and Microbiology Health Sciences Lab | ||
| College Chemistry I and College Chemistry I Lab | ||
| College Chemistry II and College Chemistry II Lab | ||
| Forest Biometrics | ||
| Introduction to Physical Geology and Introduction to Physical Geology Lab | ||
| Fundamentals of Physics with Calculus I and Physics Laboratory I with Calculus | ||
| Fundamentals of Physics with Calculus II and Physics Laboratory II with Calculus | ||
| Modern Physics | ||
| Advanced Physics Lab | ||
| Communication Requirement | ||
| Complete one of the following courses: | 3 | |
| Introduction to Public Speaking | ||
| Argumentation | ||
| Algorithm Design Concentration Core Courses | ||
| Complete all of the following courses: | ||
| M 172 | Calculus II | 4 |
| M 221 | Introduction to Linear Algebra | 4 |
| STAT 342 | Probability and Simulation | 3 |
| CSCI 361 | Computer Architecture | 3 |
| CSCI 432 | Advanced Algorithm Topics | 3 |
| Algorithm Design Concentration Algorithm Development Elective | ||
| Complete 6 credits of the following courses: | 6 | |
| Computational Biology | ||
| Applied Parallel Computing Techniques | ||
| Special Topics (Software Optimization or Cybersecurity) | ||
| Algorithm Design Concentration Upper-Division Computer Science Electives | ||
| Complete 15 credits of upper-division CSCI courses and as many as 3 credits of approved upper division math elective. | 15 | |
Approved upper division math elective - May be taken in place of one upper division CS elective: | ||
| Discrete Optimization | ||
| Linear Optimization | ||
| Deterministic Models | ||
| Numerical Analysis | ||
| Graph Theory | ||
| Probability Theory | ||
| Total Hours | 89-94 | |