BS-ARIN - Bachelor of Science in Artificial Intelligence
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General Education | Semester Hours | |
|---|---|---|
ACAD 101 | Principles of the Learning Academy | 1 |
Shared Skills and Proficiencies | ||
Writing and Critical Thinking | ||
WRIT 101 | Composition | 3 |
HMXP 102 | Human Experience | 3 |
CRTW 201 | Critical Reading, Thinking, & Writing | 3 |
Oral Communication | Met in major with CSCI 327 | 0 |
Technology | Met in major with CSCI 207 & 327 | 0 |
Intensive Writing | Met in major with CSCI 327 | 0 |
Constitution Requirement | See approved list; may be met with other requirement | 0-3 |
Physical Activity | 1 | |
Thinking Critically Across Disciplines* |
|
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Global Perspectives | 3 | |
Historical Perspectives | 3 | |
Introducing Students to Broad Disciplinary Perspectives* |
| |
Social Science | See approved list; must include 2 designators | 6 |
Humanities and Arts | See approved list; must include 2 designators, PHIL 101 recommended | 6 |
Quantitative Skills and Natural Science | (3 courses) | |
Quantitative Skills | Met in major with MATH 201 & 202 | 0 |
Natural Science | See approved list; must include one lab science. [If 2 courses taken, must be in two different groups: Life, Physical, Earth] | 3-4 |
Subtotal |
| 32-36 |
*No more than two courses in the major may count toward requirements in these areas |
| |
Requirements for the Major | 61 | |
CSCI 207~ | Introduction to Computer Science I | 4 |
CSCI 208~ | Introduction to Computer Science II | 4 |
CSCI 210~ | Programming Tools | 1 |
CSCI 260 | Introduction to Artificial Intelligence | 3 |
CSCI 271 | Algorithms and Data Structures | 4 |
CSCI 327 | Social Implications of Computing | 3 |
CSCI 355 | Database Processing | 3 |
CSCI 450 | Artificial Intelligence | 3 |
CSCI 478 | Capstone in AI | 3 |
CSCI 560 | Machine Learning | 3 |
MATH 201 | Calculus I | 4 |
MATH 202 | Calculus II | 4 |
MAED 200 | Introduction to Mathematica | 1 |
MATH 300 | Linear Algebra | 3 |
MATH 341 | Statistical Methods | 3 |
MATH 261 or MATH 310 | Discrete Math, or Mathematical Reasoning | 3 |
MATH 370 or DSCI 300 | Math Modeling, or Intro to Data Science | 3 |
Choose three from: | 9 | |
DSCI 301 | Time Series | 3 |
DSCI 302 | Big Data | 3 |
DSCI 401 | Data Mining | 3 |
MATH 544 | Regression Modeling | 3 |
MKTG 385+ | Marketing Research | 3 |
ECON 506+ | Applied Econometrics | 3 |
ECON 508+ | Forecasting and Predictive Analytics | 3 |
FINC 570+ | Foundations in Financial Data Analytics | 3 |
BADM 571+ | Applied Analytics and Data Visualization | 3 |
+Course has prerequisite not met elsewhere in the major | ||
General Electives | 23-27 | |
Total | 120 | |