Data Science

The data science minor, which is open to all students, gives you a basic understanding of tools to gather and understand large amounts of data. These tools are important for economic management, wealth creation, life and health improvement, and other applications in engineering, science, business, health care and education. The minor is a valuable addition to business, science and engineering majors.

Minor Requirements

Required Courses - 25-26 hrs.

• CS 101: Introduction to Programming or equivalent - 4 hrs.
• CS 102: Data Structures or equivalent - 3 hrs.
• MTH 111: Elementary Statistics – 3 hrs.
  or MTH 325: Probability and Statistics I – 3 hrs.
  or QM 262: Quantitative Analysis I – 3 hrs.
  or PSY 205: Quantitative Methods – 3 hrs.
  or ECE 302: Probability, Statistics and Random Processes for EE – 3 hrs.
  or IME 311: Introduction to Engineering Statistical Methods – 3 hrs.
  or ENC 310: Statistical Procedures in Health Sciences or equivalent – 3 hrs.
  or BIO 260 and 261: Biological Statistics I/II or equivalent- 3 hrs.
• MTH 120: Discrete Mathematics or equivalent – 3 hrs.
  or MTH 115: Brief Calculus With Applications I – 4 hrs.
  or MTH 121 Calculus I- 4 hrs.
• CS 360: Fundamentals of Data Science - 3 hrs.

Elective courses (choose three) - 9 hrs.

• CS 461: Artificial Intelligence - 3 hrs.
• CS 462: Machine Learning - 3 hrs.
• CS 463: Knowledge Discovery and Data Mining – 3 hrs.
• CS 370: Database Management Systems – 3 hrs.
• CS 472: Distributed Databases and Big Data – 3 hrs.
• CIS 476: Data Management – 3 hrs.