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 60 credits in the two disciplines:
30 of these credits in Computer Science courses and
30 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: 72-73
Required Cumulative GPA: 2.0
Catalog Year: 2019-2020
General Education Requirements
Information regarding these requirements can be found in the General Education Section of the catalog.
Summary
Course List | ||
Code | Title | Hours |
|---|---|---|
Mathematical Sciences | 31 | |
Computer Science | 29 | |
Science Requirement | 9-10 | |
Biology | ||
Chemistry | ||
Physics | ||
Public Speaking Requirement | 3 | |
Total Hours | 72-73 | |
Mathematical Sciences
Rule: Complete the following subcategories. 31 total credits required.
Mathematical Sciences Core
Course List | ||
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 nine 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).
Course List | ||
Code | Title | Hours |
|---|---|---|
Complete 12 credits of the following courses: | 12 | |
M 311 | Ordinary Differential Equations and Systems | |
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. 30 total credits required.
Computer Science Core
Course List | ||
Code | Title | Hours |
|---|---|---|
Complete all of the following courses: | ||
CSCI 106 | Careers in Computer Science | 1 |
CSCI 135 | Fund of Computer Science I | 3 |
CSCI 136 | Fund of Computer Science II | 3 |
CSCI 205 | Programming with C/C++ | 3 |
CSCI 232 | Data Structures and Algorithms | 4 |
CSCI 332 | Design/Analysis of Algorithms | 3 |
CSCI 361 | Computer Architecture | 3 |
Total Hours | 20 | |
Minimum Required Grade: C-
Computer Science Electives
Note:
A total of at most three of the nine credits of Computer Science Electives may be in CSCI 398 or CSCI 498.
The combined nine 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).
Course List | ||
Code | Title | Hours |
|---|---|---|
Complete 9 credits of the following courses: | 9 | |
CSCI 315E | Computers, Ethics, and Society | |
CSCI 323 | Software Science | |
CSCI 340 | Database Design | |
CSCI 390 | Research | |
CSCI 391 | Special Topics | |
CSCI 394 | Seminar | |
CSCI 398 | Internship | |
CSCI 411 | Advanced Web Programming | |
CSCI 412 | Game and Mobile App | |
CSCI 426 | Adv Prgrmng Theory/Practice I | |
CSCI 427 | Adv Prgrmng Theory/Practice II | |
CSCI 441 | Computer Graphics Programming | |
CSCI 443 | User Interface Design | |
CSCI 444 | Data Visualization | |
CSCI 446 | Artificial Intelligence | |
CSCI 447 | Machine Learning | |
CSCI 448 | Pattern Recognition | |
CSCI 451 | Computational Biology | |
CSCI 460 | Operating Systems | |
CSCI 464 | Applications of Mining Big Data | |
CSCI 466 | Networks | |
CSCI 477 | Simulation | |
CSCI 480 | Applied Parallel Computing Techniques | |
CSCI 490 | Research | |
CSCI 491 | Special Topics | |
CSCI 494 | Seminar | |
CSCI 498 | Internship | |
CSCI 499 | Senior Thesis/Capstone | |
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
Course List | ||
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
Course List | ||
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
Course List | ||
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
Course List | ||
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
Course List | ||
Code | Title | Hours |
|---|---|---|
M 311 | Ordinary Differential Equations and Systems | 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
Course List | ||
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)
Course List | ||
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
Course List | ||
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
Course List | ||
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 | Adv Prgrmng Theory/Practice I | 3 |
CSCI 460 | Operating Systems | 3 |
CSCI Elective | 3 | |
Total Hours | 23-24 | |