Master of Science - Data Science

Completion of the Master of Science in Data Science will help students identify and formulate key business challenges, collect and manage data from a variety of sources, select effective analytical techniques to identify solutions, and communicate results in a clear and creative way, harnessing the power of data in decision making. Data scientists are in high demand in a wide range of industries, including information technology, finance, healthcare, insurance, energy, transportation, manufacturing, telecommunications and more.

**Course offering frequency subject to change**

Degree Requirements (30)

A minimum of thirty (30) hours is required for a master’s degree. Eighteen (18) hours must be core. If a student is on the thesis pathway, they will complete six (6) hours of electives and six (6) hours of thesis courses. Non-thesis students will complete total of twelve (12) hours of elective.

Core (18)

Complete all of the following.

COP 5090 - Scientific Computation and Programming Credits: 3
CAP 5771 - Data Mining & Text Mining Credits: 3
CAP 5765 - Computational Data Analysis Credits: 3
CAP 5320 - Data Wrangling and Exploratory Data Analysis Credits: 3
CAP 5735 - Data Visualization and Reproducible Research Credits: 3
ESI 5315 - Optimization and Simulation Credits: 3

Electives (6-12)

Earn twelve (12) hours from following if pursuing the course-only pathway. Earn six (6) hours from the following if pursuing the thesis pathway. Note: maximum two courses from 4000 level are eligible for electives by departmental approval.