MCLA’s Data Science minor provides our students with the skills and abilities to derive
meaningful information from vast amounts of data. Never in human history have we possessed
as much data as we do now, and in the 21st century, businesses and other ventures
succeed or fail on their ability to derive meaningful information from data. MCLA
graduates in a range of fields, not limited to STEM, will inevitably be called on
by their employers to process data, and would benefit from a way to demonstrate that
they have the skills and abilities to handle this task thoughtfully, productively,
and ethically.
DATA SCIENCE MINOR REQUIREMENTS
(22-26 credits)
- One of the following Statistics Courses (3-4 cr):
- MATH 270: Statistics and Data Analysis
- ECON 316: Statistics for Business and Economics
- PSYCH 291: Psychological Research and Statistics II
- BIOL 390: Biometry
- CSCI 120: Programming in Python, or alternative coding course (3 cr)
- DATA 350: Practicing Data Science (4 cr)
- One of the following ethics courses (3 cr):
- MATH 230: Calling Bullshit
- COMM 328: Issues in Journalism
- PHIL 322: Business Ethics
- Two electives approved by the minor advisor (6-8 cr)
- These can be from among the following courses: ANTH 310; AMGT 255; BIOL 420 / CSCI
420; COMM 200; COMM 309; COMM 405; ENVI 325; HLTH 150; HLTH 150H; MATH 261; MATH 331;
MATH 332; MATH 340; MATH 345; MATH 365; MATH 390; MATH 444; PHYS 361; POSC 210; PSYC
360; PSYC 390; SOCI 322; SOCI 331; CSCI 243; CSCI 343; CSCI 350; CSCI 352; CSCI 360;
CSCI 361; CSCI 420 / BIOL 420; CSCI 452; or as approved by minor advisor
- Data 500: Independent Study in Data Science (3 cr)
