The data science major leads to a Bachelor of Science degree jointly conferred by the College of Letters and Science and the College of Engineering and Applied Science.
This sample four-year plan shows just one possible pathway to earning a degree with a mathematics major in four years and should not be followed verbatim without consulting an advisor. Every student has their own circumstances that will be taken account during individual advising.
In order to complete this program in four years, entering students need to test into and start the math sequence no lower than pre-calculus. This plan also assumes that a student took no world language in high school. To clarify any degree requirements, please contact a Department Undergraduate Advisor.
Sample Study Plan
Year 1 | |||
---|---|---|---|
Fall | Credits | ||
ENGLISH 101 Introduction to College Writing |
3 | ||
MATH 115 Precalculus (QL-Part A) |
4 | ||
COMPSCI 250 Introductory Computer Programming |
3 | ||
Arts |
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1st semester World Language (if needed) |
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Spring | Credits |
ENGLISH 102
College Writing and Research (OWC-Part A) |
3 |
MATH 231
Calculus and Analytic Geometry I (QL-Part B) |
4 |
COMPSCI 251
Intermediate Computer Programming |
3 |
MTHSTAT 215
Elementary Statistical Analysis or MTHSTAT 216 Introduction to Statistical Computing and Data Science |
3 |
2nd semester World Language (if needed) |
Year 2 | |||
Fall | Credits | ||
MATH 232 Calculus and Analytic Geometry II |
4 | ||
COMPSCI 315 Introduction to Computer Organization and Assembly Language Programming |
3 | ||
COMPSCI 351 Data Structures and Algorithms |
3 | ||
Humanities (if needed) |
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Elective |
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Spring | Credits |
MATH 233
Calculus and Analytic Geometry III |
4 |
MATH 234
Linear Algebra and Differential Equations or MATH 240 Matrices and Applications |
3-4 |
COMPSCI 395
Social, Professional, and Ethical Issues |
3 |
ENGLISH 310
Writing, Speaking, and Technoscience in the 21st Century (OWC-Part B) |
3 |
Elective (CompSci 317 or Math 341 recommended) |
Year 3 | |||
Fall | Credits | ||
MTHSTAT 361 Introduction to Mathematical Statistics I |
3 | ||
COMPSCI 557 Introduction to Database Systems |
3 | ||
Social Science |
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Natural Science lab course |
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Elective |
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Spring | Credits |
MTHSTAT 362
Introduction to Mathematical Statistics II |
3 |
COMPSCI 411
Machine Learning and Applications |
3 |
COMPSCI 422
Introduction to Artificial Intelligence |
3 |
Elective |
Elective |
Year 4 | |||
Fall | Credits | ||
MTHSTAT 563 Regression Analysis |
3 | ||
MTHSTAT 566 Computational Statistics |
3 | ||
Social Science |
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Elective |
|||
Elective |
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Spring | Credits |
MTHSTAT 568
Multivariate Statistical Analysis |
3 |
Capstone course |
Cultural Diversity course |
Elective |
Elective |