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Nov 26, 2024
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2019-2020 USC Lancaster Bulletin
Data Science Minor
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The Minor in Data Science is jointly offered by the Department of Statistics and the Department of Computer Science and Engineering. It is designed for students in any discipline that uses large data sets, including the sciences, engineering, business, mathematics, and the social sciences.
Degree Requirements (18-19 Hours)
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Minor Requirements (18 or 19 Hours):
Required Foundation Course (3 or 4 Hours):
Core Computing Courses (6 Hours):
- CSCE 587 - Big Data Analytics [= STAT 587]
- CSCE 567 - Visualization Tools
Core Statistics Courses (6 Hours):
- STAT 509 - Statistics for Engineers or STAT 515 - Statistical Methods I
- STAT 530 - Applied Multivariate Statistics and Data Mining
Elective Course - one course from the following (3 Hours):
Options requiring no additional pre-requisites.
Options requiring additional pre-requisites.
- MATH 344 - Applied Linear Algebra Prerequisites: C or better in MATH 142
- CSCE 520 - Database System Design Prerequisites: CSCE 240 or GEOG 563
- CSCE 564 - Computational Science Prerequisites: MATH 344, CSCE 146 or 207 or 500
- CSCE 569 - Parallel Computing Prerequisites: knowledge of programming in a high-level language; MATH 344
- CSCE 582 - Bayesian Networks and Decision Graphs [= STAT 582] Prerequisites: CSCE 350 and STAT 509
- STAT 511 - Probability Prerequisites: C or higher or concurrent enrollment in MATH 241 or consent of the Undergraduate Director
- STAT 512 - Mathematical Statistics Prerequisites: STAT 511 or MATH 511 with a grade of C or higher
- STAT 517 - Advanced Statistical Models Prerequisites: A grade of C or higher in both STAT 511 and either STAT 516 or ECON 436, or equivalent
- STAT 535 - Introduction to Bayesian Data Analysis Prerequisites: A grade of C or higher in STAT 512; or CSCE 582 [= STAT 582]; or both STAT 511 and either STAT 509 or STAT 515; or equivalent.
- STAT 582 - Bayesian Networks and Decision Graphs [= CSCE 582] Prerequisites: CSCE 350 and STAT 509
Note:
The Data Science Minor is designed for students in any discipline that uses large data sets, including Biology, Business, Mathematics, Psychology, etc. Choosing the correct courses is more complicated for students majoring in Computer Engineering, Computer Science, Computer Information Systems, and Statistics.
Course Substitutions
No course used to satisfy a Carolina Core, major, or other minor requirement may be used for the Data Science Minor. In the event of conflict, any elective course may be substituted for a required course in this minor.
Administration of the Minor
Curricula and other decisions of the minor will be made by a committee composed of two faculty appointed by the Chair of Statistics and two faculty appointed by the Chair of Computer Science and Engineering.
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