Data Analytics, B.S.

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Program Learning Outcomes and Educational Effectiveness Evaluation Plans for B.S. in Data Analytics.

Students pursuing the B.S. in Data Analytics are required to:

Earn an overall GPA of 2.500 for all required lower-division major courses.
Earn an overall GPA of 2.000 for all required major courses.
Complete all courses in the major for a letter grade of “C-” or higher, except those where the default grading option is P/NP.
Complete a minimum of 21 credits from upper division courses in the major.

Majors required to enroll in FFC 100 - First-Year Foundations to satisfy their General Education requirement must enroll in the topic “Grand Challenges in Science and Technology.”

Grand Challenges Initiative (3 credits)

SCI 150 - Grand Challenges in Science I 1 credit
SCI 200 - Grand Challenges in Science II 1 credit
SCI 250 - Grand Challenges in Science III 1 credit

lower-division requirements (24 credits)

ENGR 101 - Foundations of Design and Fabrication 3 credits
MATH 110 - Single Variable Calculus I 3 credits
ECON 200 - Principles of Microeconomics 3 credits
MATH 203 - Introduction to Statistics 3 credits
ACTG 210 - Introduction to Financial Accounting 3 credits
CPSC 230 - Computer Science I 3 credits
CPSC 231 - Computer Science II 3 credits
CPSC 285 - Social and Ethical Issues in Computing 3 credits

colloquium requirement (6 credits)

Students must complete six 1-credit sections of CPSC 298 - Computer Science Colloquium.

upper-division requirements (27 credits)

MGSC 310 - Statistical Models in Business Analytics 3 credits
CPSC 350 - Data Structures and Algorithms 3 credits
CPSC 353 - Data Communications and Computer Networks 3 credits
CPSC 355 - Human Computer Interaction 3 credits
CPSC 359 - Computer-Supported Cooperative Work 3 credits
CPSC 392 - Introduction to Data Science 3 credits
CPSC 393 - Machine Learning 3 credits
CPSC 408 - Database Management 3 credits
MGSC 410 - Applied Business Analytics 3 credits

electives (9 credits)

three of the following