Degree Plan

Bachelor of Science in Data Science

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 UIW, 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.

UIW Core - Total Hours 43
Major - Total Hours 51
Electives - Total Hours 26
Degree - Total Hours 120

Four-year B.S. in Data Science Degree Plan

Fall
Fall Hours
ENGL 1311 Composition I 3
PHIL 1381 Intro to Philosophy 3
History 3
MATH 1304 College Algebra (as Math core) 3
General Elective 3
Total hours 15
Spring
Spring Hours
ENGL 1312 Composition II 3
DWHP 1200 Dimensions of Wellness 2
Physical Activity 1
MATH 1311 Pre-Calculus (as general elective) 3
DATA 2365 Intro. Data Science 3
General Elective 3
Total hours 15
Fall
Fall Hours
ENGL 2310 World Literature 3
Foreign Language I 3
PHIL 3312 Logic or upper level PHIL/RELS 3
MATH 2312: Calculus 1 3
MATH 2322 Linear Algebra 3
Total hours 15
Spring
Spring Hours
Fine Arts 3
Foreign Language II 3
General Elective 3
MATH 2313: Calculus 2 3
MATH 2340: Computer Programming 3
Total hours 15
Fall
Fall Hours
MATH 3331 Foundations of Probability and Stats 4
MATH 3314 Calculus III 3
CIS 2333 Scripting Languages 3
Science with Lab 4
MIS 3363: Design/Implem of Database Sys. 3
Total hours 17
Spring
Spring Hours
MATH 3332 Foundations of Statistical Inference 3
MATH 4333 Regression Analysis 3
RELS 1305, 1315, 1325, 1335 or 1327H 3
Social Science 3
General Elective 3
Total hours 15
Fall
Fall Hours
CIS 3310: Database systems 3
DATA 4365: Data Mining and Machine Learning 3
Data Science Elective 3
Data Science Elective 3
General Elective 3
Total hours 15
Spring
Spring Hours
DATA 4390: Capstone Project 3
Data Science Elective 3
Data Science Elective 3
General Elective 3
General Elective 2
Total hours 14

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*