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Georgia Institute of Technology College of Sciences 82 courses 122 total credits
Bachelor of Science in Mathematics and Computing is a Bachelor's program offered by College of Sciences at Georgia Institute of Technology, requiring 122 credits across 82 courses.
| Arts, Humanities, and Ethics: Any HUM | 6 credits |
| Technology, Mathematics, and Sciences: Lab Science | 8 credits |
| Social Sciences: Any SS | 9 credits |
| Major Requirements: Concentration Requirements | 27 credits |
| Major Requirements: Engineering or Science Electives | 6 credits |
| Major Requirements: Free Electives | 9 credits |
| Total Credits | 122 credits |
Wellness Requirement
APPH 1040 may also be replaced by APPH 1060.
| Code | Course Title | Credits |
|---|---|---|
| APPH 1040 or APPH 1050 | Scientific Foundations of Health or The Science of Physical Activity and Health | 2 |
Institutional Priority
| Code | Course Title | Credits |
|---|---|---|
| CS 1301 | Introduction to Computing | 3 |
Mathematics and Quantitative Skills
| Code | Course Title | Credits |
|---|---|---|
| MATH 1552 | Integral Calculus | 4 |
Political Science and U.S. History
HIST 2111 may also be replaced by INTA 1200, POL 1101, PUBP 3000.
| Code | Course Title | Credits |
|---|---|---|
| HIST 2111 or HIST 2112 | Survey of U.S. History I or Survey of U.S. History II | 3 |
Communicating in Writing
| Code | Course Title | Credits |
|---|---|---|
| ENGL 1101 | English Composition I | 3 |
| ENGL 1102 | English Composition II | 3 |
Technology, Mathematics, and Sciences
| Code | Course Title | Credits |
|---|---|---|
| MATH 1551 or MATH 1550 | Differential Calculus or Introduction to Differential Calculus | 2 |
| MATH 1554 or MATH 1564 | Linear Algebra or Linear Algebra with Abstract Vector Spaces | 4 |
Field of Study
Major Requirements
Theoretical Computer Science and Discrete Math Concentration
Select two courses from List A:
Select two courses from List B:
Modeling, Simulation, Data and Applied Math Concentration
| Code | Course Title | Credits |
|---|---|---|
| MATH 4347 | Partial Differential Equations I | 3 |
| CX 4220 | Introduction to High Performance Computing | 3 |
| CX 4230 | Computer Simulation | 3 |
| MATH 4640 | Introduction to Numerical Analysis | 3 |
Select one course from ML List:
| Code | Course Title | Credits |
|---|---|---|
| CS 4641 | Machine Learning | 3 |
| CX 4240 | Introduction to Computing for Data Analysis | 3 |
| MATH 4210 | Mathematical Foundations of Data Science | 3 |
| Total | 3 credits | |
Select two courses from List A:
Select two courses from List B:
Mathematical Intelligence and Data Science Concentration
| Code | Course Title | Credits |
|---|---|---|
| CS 3600 | Introduction to Artificial Intelligence | 3 |
| MATH 4740 | Computational Methods for Simulation and Machine Learning | 3 |
Select one course from the following:
| Code | Course Title | Credits |
|---|---|---|
| CS 3630 | Introduction to Perception and Robotics | 3 |
| CS 3790 | Introduction to Cognitive Science | 3 |
| PSYC 3040 | Sensation and Perception | 3 |
| Total | 3 credits | |
Select one course from the ML list:
| Code | Course Title | Credits |
|---|---|---|
| CS 4641 | Machine Learning | 3 |
| CX 4240 | Introduction to Computing for Data Analysis | 3 |
| MATH 4210 | Mathematical Foundations of Data Science | 3 |
| Total | 3 credits | |
Select one course from the following:
| Code | Course Title | Credits |
|---|---|---|
| CS 3510 | Design and Analysis of Algorithms | 3 |
| CS 3511 | Design and Analysis of Algorithms, Honors | 3 |
| CX 4140 | Computational Modeling Algorithms | 3 |
| Total | 3 credits | |
Select two courses from List A:
Select two courses from List B:
Click a course code or title to read the full course description.
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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
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