Data Science Concentration (B.S.)

Students should consult with their faculty advisor and use the Degree Evaluation tool to receive an accurate assessment regarding fulfillment of graduation requirements. All major requirements are in addition to the LAC requirements.

Note: Students must earn a C or better in all major courses numbered 300 or higher OR a C+ average in all such courses.

Mathematics Prerequisites

MAT 155/P Precalculus – 4 or 5 credits

Curriculum Grid

Required Core Courses for All Concentrations (26 credits)

MAT 230 Discrete Structures – 3 credits
MAT 243* Calculus I with Technology – 4 credits
MAT 244 Calculus II with Technology – 4 credits
MAT 310 Applied Linear Algebra – 3 credits
MAT 315** Applied Probability and Statistics – 4 credits
MAT 340 Calculus III with Technology – 4 credits
MAT 420*** Real Analysis I – 4 credits

* meets LAC Tier I Mathematics requirement
** meets LAC Tier II Applied Information Technology & Stage 2 University Writing requirements
*** meets Stage 3 University Writing requirement

Required Courses for a Concentration in Data Science (21 credits)

MAT 320 Number Theory or MAT 380 Geometry – 3 credits
MAT 342 Explorations in Data Science – 3 credits
MAT 343 Explorations in Data Analytics or CSC 305 Data Mining and Applications – 3 credits
MAT 421* Real Analysis II – 3 credits
CSC 202 Introduction to Programming and Machine Intelligence or CSC 210 Computer Science and Programming I – 3 credits
CSC 203 Advanced Programming for Data Science or CSC 231 Computer Science and Programming II – 3 credits

* meets LAC Tier III requirement

See Mathematics Major Degree Requirements

Concentration Electives (9 credits)

You must take three electives at least one of which must be from Category A.