B.S. Artificial Intelligence Sciences
Program Admissions Requirements
There are no program admission requirements for the degree and major.
General Education
The listing below includes program requirements that also fulfill General Education requirements.
| Code | Title | Credits |
|---|---|---|
| Objective 1 | 6 | |
| Objective 2 | 3 | |
| Objective 3- MATH 1170 | 4 | |
| Objective 4- PHIL 1103 | 6 | |
| Objective 5- PHYS 2211 | 7 | |
| Objective 6 | 6 | |
| Students must fulfill Objective 7 or Objective 8 | 3 | |
Objective 7- CS 1181 | ||
Objective 8 | ||
| Objective 9 | 3 | |
| Total Credits | 38 | |
Major Requirements
| Code | Title | Credits |
|---|---|---|
| PHIL 1103 | Introduction to Ethics (Partially Fulfills General Education Objective 4) | 3 |
| ENGL 3307 | Professional and Technical Writing | 3 |
| PHYS 2211 | Engineering Physics I (Partially satisfies General Education Objective 5) | 4 |
| CS 1181 | Computer Science and Programming I (Fulfills General Education Objective 7) | 3 |
| CS 1337 | Computer Organization and Architecture | 3 |
| CS 2281 | Data Structures | 4 |
| CS 3310 | Databases | 3 |
| CS/MATH 3332 | Data Science and Applied Machine Learning | 3 |
| MATH 1170 | Calculus I (Fulfills General Education Objective 3) | 4 |
| MATH 1175 | Calculus II | 4 |
| MATH 2240 | Linear Algebra | 3 |
| MATH 3350 | Statistics for Scientists | 3 |
| MATH 3352 | Introduction to Probability | 3 |
| Choose Six credits from the following courses: | 6 | |
| Numerical Linear Algebra | ||
| Introduction to Numerical Analysis I | ||
| Optimization Methods and Their Applications | ||
| Applied Neural Networks (Fulfills CS track requirement) | ||
| In Addition: Choose one of the following tracks: | ||
| Track 1 Concentration in Mathematics & Statistics | 33-34 | |
| Track 2 Concentration in computer Science | 33-36 | |
| Total Credits | 81-84 | |
Track 1: Concentration in Mathematics & Statistics
The following courses are required to complete Track 1.
| Code | Title | Credits |
|---|---|---|
| Choose one of the following two courses: | 3-4 | |
| Calculus III | ||
| Differential Equations | ||
| MATH 3310 | Mathematical Modeling | 3 |
| MATH 4450 | Mathematical Statistics I | 3 |
| MATH 4457 | Applied Regression Analysis | 3 |
| MATH 4459 | Applied Multivariate Analysis | 3 |
| MATH 4477 | Theoretical Foundations of Deep Learning | 3 |
| Choose one additional course from the following courses | 3 | |
| Numerical Linear Algebra | ||
| Introduction to Numerical Analysis I | ||
| Optimization Methods and Their Applications | ||
| Applied Neural Networks | ||
| Track 1 Electives | 12 | |
| Track 1 Electives: A student must take 12 additional credits from the following list to complete the degree. The following courses are pre-approved. | ||
| Calculus III | ||
| Elementary Analysis | ||
| Differential Equations | ||
| Introduction to Numerical Analysis I | ||
| Mathematical Statistics II | ||
| Topics in Statistics 1 | ||
| Experimental Design | ||
| Topics in Applied Mathematics 1 | ||
| Partial Differential Equations | ||
| Total Credits | 33-34 | |
- 1
These courses are 1-3 credit courses, repeated for up to 3 credits.
Track 2: Concentration in Computer Science
The following courses are required to complete Track 2.
| Code | Title | Credits |
|---|---|---|
| CS 1185 | Introduction to Artificial Intelligence Tools | 3 |
| MATH/CS 1187 | Applied Discrete Structures | 3 |
| or MATH 2287 | Foundations of Mathematics | |
| CS 3309 | Advanced Object-Oriented Programming | 3 |
| CS 4412 | Algorithms | 3 |
| CS 4433 | Applied Neural Networks (if not taken above) | 3 |
| CS 4434 | Generative Artificial Intelligence | 3 |
| or CS 4435 | Machine Learning Operations | |
| CS 4461 | Secure Operating Systems | 3 |
| CS 4470 | High-Performance Computing | 3 |
| CS 4478 | Machine Learning Algorithms | 3 |
| CS 4488 | Capstone Project | 3 |
| CS 4472 | Artificial Intelligence Algorithms | 3 |
| or CS 4473 | Computational Creativity | |
| or CS 4479 | Natural Language Processing | |
| CS 4434 | Generative Artificial Intelligence | 3 |
| or CS 4435 | Machine Learning Operations | |
| or CS 4448 | Secure Artificial Intelligence | |
or | ||
other CS or ECE 44xx Elective(s) | ||
| Total Credits | 33-36 | |
Math Concentration Degree Totals
| Code | Title | Credits |
|---|---|---|
| Program Admission Requirements | 0 | |
| General Education | 38 | |
| Major Requirements (w/o General Education) | 67-68 | |
| Upper Division Free Electives | 0 | |
| Free Electives | 14-15 | |
| Total Credits | 120 | |
Computer Science Concentration Degree Totals
| Code | Title | Credits |
|---|---|---|
| Program Admission Requirements | 0 | |
| General Education | 38 | |
| Major Requirements (w/o General Education) | 67-70 | |
| Upper Division Free Electives | 0 | |
| Free Electives | 12-15 | |
| Total Credits | 120 | |