Students in this minor will study modern techniques for analyzing, mining, reducing and statistically describing data from a variety of sources such as multimedia, social media and the Internet. Computer software tools will be used to apply quantitative methods, statistical modeling and analysis of an ever increasing volume and detail of information. Students will acquire practical analytical software skills and learn how to make decisions based on data analysis.

Lower Division Requirements (6 units):

  • MATH 240: Linear Algebra (3)

and one of the following (note COMP 105 or higher level computer course):

  • COMP 105/IT 105: Introduction To Programming (3)

or

  • IT 151: IT Programming (3)

Upper Division Requirements (6 units):

  • MATH 398: Advanced Research Investigations (3)

and one of the following:

  • MATH 408: Advanced Data Analysis (3)

or

  • COMP 478: Introduction To Data Mining (3)

Electives (12 units):

At least three (3) electives must be taken at the upper-division (300 or 400) level (some courses may have additional pre-requisites.)

Three (3) Units from:

  • MATH 230/PHIL 230: Logic and Mathematical Reasoning (3)
  • MATH 300: Discrete Mathematics (3)
  • MATH 301: Discrete Mathematics for IT (3)

Three (3) Units from:

  • MATH 201: Elementary Statistics (3)
  • MATH 202/PSY 202: Biostatistics (3)
  • MATH 329: Applied Statistics for Business and Economics (3)
  • MATH 352: Probability and Statistics (3)

Complementary electives (6) Units from:

Note: Only one of POLS 303 or PSY 300 may count toward the minor*.

  • BIOL 453: Methods in Population and Community Ecology (4)
  • COMP 151: Data Structures And Program Design (4)
  • COMP 469: Introduction To Artificial Intelligence (3)
  • COMP 478: Introduction To Data Mining (3)
  • ECON 488: Econometrics (4)
  • ESRM 328: Introduction to Geographic Information Systems (3)
  • IT 401: Web Intelligence (3)
  • MATH 429: Operations Research (3)
  • MATH 430: Research Design and Data Analysis (3)
  • MATH 445/PHYS 445/COMP 445: Image Analysis and Pattern Recognition (3)
  • MATH 452/COMP 452: Computational Bioinformatics (4)
  • POLS 303/PSY 303/SOC 303: Statistical Applications in the Social Sciences (4 *)
  • PSY 300: Psychological Research and Statistical Methods I (4 *)
  • PSY 301: Psychological Research and Statistical Methods II (4)