A minimum of 120 college credit hours are required for graduation to include: 45 hours of residency, 36 upper division hours (3000-4000 level), completion of 36 of the last 45 hours at 不良研究所, and 45 clock hours of community service. Preparatory or ESL courses will not count towards the 120 hours required to graduate. A Grade of C or better is required in ENGL 1311L, 1312, pre-requisite courses and courses for your Major/Minor/Concentration/Specialization. Deviating from this plan may delay graduation. It is the student’s responsibility to ensure that all requirements are fulfilled as stated in the catalog.
不良研究所 Core - Total Hours 43 Major - Total Hours 51 Electives - Total Hours 26 Degree - Total Hours 120
51 semester hours in Data Science and supporting areas including:
Data Science Required Courses (39 hours)
MATH 2312: Calculus I MATH 2313: Calculus II MATH 3314: Calculus III MATH 2322: Linear Algebra MATH 2340: Computer Programming MATH 3331: Foundations of Probability and Statistics MATH 3332: Foundations of Statistical Inference MATH 4333: Regression Analysis DATA 2365: Introduction to Data Science DATA 4365: Data Mining and Machine Learning* DATA 4390: Capstone in Data Science CIS 2333: Scripting Languages MIS 3363: Design/Implem of Database Sys.
Data Science Electives (12 hours):
MATH 3337: Stochastic Processes MATH 4325 Design of Experiments MATH 4330: Survival Analysis MATH 4335: Computational Statistics and Its Applications MATH 4340: Multivariate Data Analysis MATH 4345: Bayesian Statistics MATH 4355: Categorical Data Analysis MATH 4360: Time Series Analysis DATA 4366: Deep Learning MATH 3370: Mathematical Modeling* MATH 4370: Modeling/Natural Process* MIS 3325: Intro. to Bus. Ana. and Bus. Intel.* MIS 4325: Predictive Ana. and Forecasting* MIS 4330: Data Mining and Data Analytics*
