Mathematical Sciences-Computer Science 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 both 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.
Bachelor of Science - Mathematical Science-Computer Science
College of Humanities & Sciences
Degree Specific Credits: 74-75
Required Cumulative GPA: 2.0
Catalog Year: 2021-22
General Education Requirements
Information regarding these requirements can be found in the General Education Section of the catalog.
Summary
Mathematical Sciences | 31 | |
Computer Science | 31 | |
Science Requirement | 9-10 | |
Biology | ||
Chemistry | ||
Physics | ||
Public Speaking Requirement | 3 | |
Total Hours | 74-75 |
Mathematical Sciences
Rule: Complete the following subcategories. 31 total credits required.
Mathematical Sciences Core
Code | Title | Hours |
---|---|---|
Complete all of the following courses: | ||
M 171 | Calculus I | 4 |
or M 181 | Honors Calculus I | |
M 172 | Calculus II | 4 |
or M 182 | Honors Calculus II | |
M 221 | Introduction to Linear Algebra | 4 |
M 273 | Multivariable Calculus | 4 |
M 307 | Introduction to Abstract Mathematics | 3 |
or M 225 | Introduction to Discrete Mathematics | |
Total Hours | 19 |
Minimum Required Grade: C-
Mathematical Sciences Electives
Note: The combined 9 credits of Computer Science Electives and twelve 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 451, STAT 452).
Code | Title | Hours |
---|---|---|
Complete 12 credits of the following courses: | 12 | |
M 274 | Introduction to Differential Equations | |
M 325 | Discrete Mathematics | |
M 326 | Number Theory | |
M 361 | Discrete Optimization | |
M 362 | Linear Optimization | |
M 381 | Advanced Calculus I | |
M 412 | Partial Differential Equations | |
M 414 | Deterministic Models | |
M 429 | History of Mathematics | |
M 431 | Abstract Algebra I | |
M 432 | Abstract Algebra II | |
M 439 | Euclidean and NonEuclidean Geometry | |
M 440 | Numerical Analysis | |
M 445 | Statistical, Dynamical, and Computational Modeling | |
M 461 | Data Science Analytics | |
M 462 | Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms | |
M 472 | Introduction to Complex Analysis | |
M 473 | Introduction to Real Analysis | |
M 485 | Graph Theory | |
STAT 341 | Introduction to Probability and Statistics | |
STAT 421 | Probability Theory | |
STAT 422 | Mathematical Statistics | |
STAT 451 | Statistical Methods I | |
STAT 452 | Statistical Methods II | |
Total Hours | 12 |
Minimum Required Grade: C-
Computer Science
Rule: Complete the following subcategories. 31 total credits required.
Computer Science Core
Code | Title | Hours |
---|---|---|
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 222 | Web Applications Development I | 3 |
CSCI 232 | Intermediate Data Structures and Algorithms | 3 |
CSCI 332 | Advanced Data Structures and Algorithms | 3 |
CSCI 340 | Database Design | 3 |
Total Hours | 22 |
Minimum Required Grade: C-
Computer Science Electives
Rule: In addition to the 22 credits in the Computer Science core, students must take an additional 9 upper division (three hundred level or higher) Computer Science credits.
Note:
A total of at most three of the 9 credits of Computer Science Electives may be in CSCI 398 or CSCI 498.
The combined 9 credits of Computer Science Electives and twelve 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 451, STAT 452).
Code | Title | Hours |
---|---|---|
Complete 9 credits of upper-division (300-level or higher) CSCI courses. | 9 | |
Total Hours | 9 |
Minimum Required Grade: C-
Science Requirement
Rule: Complete the course work from 1 of the following subcategories. 9-10 total credits required.
Biology
Code | Title | Hours |
---|---|---|
If you choose biology, complete all of the following course s: | ||
BIOB 160N | Principles of Living Systems | 3 |
BIOB 161N | Prncpls of Living Systems Lab | 1 |
BIOB 170N | Princpls Biological Diversity | 3 |
BIOB 171N | Princpls Biological Dvrsty Lab | 2 |
Total Hours | 9 |
Minimum Required Grade: C-
Chemistry
Code | Title | Hours |
---|---|---|
If you choose chemistry, complete all of the following courses: | ||
CHMY 141N | College Chemistry I | 5 |
CHMY 143N | College Chemistry II | 5 |
Total Hours | 10 |
Minimum Required Grade: C-
Physics
Code | Title | Hours |
---|---|---|
If you choose physics, complete all of the following courses: | ||
PHSX 215N | Fund of Physics w/Calc I | 4 |
PHSX 216N | Physics Laboratory I w/Calc | 1 |
PHSX 217N | Fund of Physics w/Calc II | 4 |
PHSX 218N | Physics Laboratory II w/Calc | 1 |
Total Hours | 10 |
Minimum Required Grade: C-
Public Speaking Requirement
Code | Title | Hours |
---|---|---|
Complete one of the following courses: | ||
COMX 111A | Introduction to Public Speaking | 3 |
or COMX 242 | Argumentation | |
Total Hours | 3 |
Minimum Required Grade: C-
Suggested Curricula
Note: Students are encouraged to choose their Computer Science and Mathematical Sciences Electives according to one of the following curricula; these tracks are suggestions only and, as such, optional. Note that the suggested curricula do not include an advanced College Writing Course.
Applied Math Scientific Programming
Code | Title | Hours |
---|---|---|
M 274 | Introduction to Ordinary Differential Equations | 3 |
M 412 | Partial Differential Equations | 3 |
M 414 | Deterministic Models | 3 |
Select one of the following: | 3-4 | |
M 381 | Advanced Calculus I | |
M 440 | Numerical Analysis | |
M 472 | Introduction to Complex Analysis | |
M 473 | Introduction to Real Analysis | |
STAT 341 | Introduction to Probability and Statistics | |
Select three of the following: | 9 | |
CSCI 441 | Computer Graphics Programming | |
CSCI 444 | Data Visualization | |
CSCI 460 | Operating Systems | |
CSCI 477 | Simulation | |
Total Hours | 21-22 |
Combinatorics and Optimization Artificial Intelligence
Code | Title | Hours |
---|---|---|
M 361 | Discrete Optimization | 3 |
M 362 | Linear Optimization | 3 |
Select two of the following: | 6 | |
M 325 | Discrete Mathematics | |
M 414 | Deterministic Models | |
M 485 | Graph Theory | |
STAT 341 | Introduction to Probability and Statistics | |
CSCI 446 | Artificial Intelligence | 3 |
CSCI 447 | Machine Learning | 3 |
CSCI 460 | Operating Systems | 3 |
Total Hours | 21 |
Data Science (Big Data Analytics)
Code | Title | Hours |
---|---|---|
M 461 | Data Science Analytics | 3 |
M 462 | Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms | 3 |
STAT 341 | Introduction to Probability and Statistics | 3 |
STAT 451 | Statistical Methods I | 3 |
STAT 452 | Statistical Methods II | 3 |
Select three of the following: | 9 | |
CSCI 444 | Data Visualization | |
CSCI 447 | Machine Learning | |
CSCI 448 | Pattern Recognition | |
CSCI 464 | Applications of Mining Big Data | |
CSCI 480 | Applied Parallel Computing Techniques | |
Total Hours | 24 |
Statistics Machine Learning
Code | Title | Hours |
---|---|---|
STAT 341 | Introduction to Probability and Statistics | 3 |
STAT 421 | Probability Theory | 3 |
Select two of the following: | 6 | |
M 325 | Discrete Mathematics | |
M 362 | Linear Optimization | |
M 485 | Graph Theory | |
STAT 422 | Mathematical Statistics | |
Select three of the following: | 9 | |
CSCI 340 | Database Design | |
CSCI 444 | Data Visualization | |
CSCI 446 | Artificial Intelligence | |
CSCI 447 | Machine Learning | |
CSCI 451 | Computational Biology | |
Total Hours | 21 |
Algebra Analysis
Code | Title | Hours |
---|---|---|
M 381 | Advanced Calculus I | 3 |
M 431 | Abstract Algebra I | 4 |
Select two of the following: | 7-8 | |
M 326 | Number Theory | |
M 432 | Abstract Algebra II | |
M 472 | Introduction to Complex Analysis | |
M 473 | Introduction to Real Analysis | |
CSCI 426 | Software Design and Development I | 3 |
CSCI 460 | Operating Systems | 3 |
CSCI Elective | 3 | |
Total Hours | 23-24 |