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Data Science

Plan of Study

Individualized Data Science

Overview

Students can choose the Individualized Data Science sequence if they would like to sample courses from existing sequences or if they want to develop a specialization outside of the approved sequences. Some examples might be:

  • Applying data science to agricultural studies
  • Applying data science to environmental sustainability
  • Concentrating more deeply on data visualization knowledge and skills

Sample Plans of Study

First Year - Fall Semester (17 credit hours)

MAT 145 Calculus I (General Education) (4)
ENG 101 Composition as Critical Inquiry or
COM 110 Communication as Critical Inquiry (3)
General Education course (3)
General Education course (3)
IT 168 Structured Problem Solving Using the Computer (4)

First Year - Spring Semester (16 credit hours)

MAT 146 Calculus II (General Education) (4)
ENG 101 Composition as Critical Inquiry or
COM 110 Communication as Critical Inquiry (3)
IT 179 Introduction to Data Structures (3)
General Education course (3)
General Education course (3)

Second Year - Fall Semester (15 credit hours)

MAT 147 Calculus III (BS-SMT) (4)
MAT 260 Discrete Mathematics (4)
IT 180 C++ Programming (1)
General Education course (AMALI) (3)
University-wide elective (3)

Second Year - Spring Semester (16 credit hours)

MAT 350 Applied Probability Models (4)
IT 279 Algorithms and Data Structures (3)
General Education course (3)
University-wide elective (3)
Major Elective course (3)

Third Year - Fall Semester (17 credit hours)

MAT 175 Elementary Linear Algebra (4)
MAT 351 Statistics and Data Analysis (4)
General Education course (3)
Major Elective course (3)
Major Elective course (3)

Third Year - Spring Semester (15 credit hours)

IT 348 Intro to Machine Learning (3)
PHI 234 Business Ethics, MKT 236 Business Ethics, Social Responsibility and Sustainability, or IT 214 Social, Legal, and Ethical Issues in Info Tech (3)
General Education course (3)
University-wide elective (3)
Major Elective course (3)

Fourth Year - Fall Semester (12 credit hours)

POL 309 Data Analysis and Data Visualization in Political Science, CTK 302 Computer Programming for Creatives, or IT 352 Data and Information Visualization (3)
Major elective course (3)
Major elective course (3)
University-wide elective (IDEAS) (3)

Fourth Year - Spring Semester (12 credit hours)

IDS 398a05 Professional Practice Internship in Data Science or IDS 388 Capstone/Directed Project in Data Science (3)
MAT 355 Generalized Linear Models and Predictive Modeling (4)
Major Elective course (3)
University-wide elective (2-3)