Data science is an interdisciplinary field focused on extracting knowledge from large data sets and applying the knowledge to provide insight in a wide variety of disciplines. Data Science is composed of formatting data for analysis, determining the algorithm used for the analysis, processing the data, creating a plan of action based on the analysis, and presenting the results in an easy to understand format. Data Science integrates skills from statistics, computer science, business, mathematics, information science, information visualization, data integration, graphic design, and communication.
The Master of Science in Data Science is comprised of twenty-seven (27) hours of core required credit hours and four (4) additional credit hours for both theory and practicum Capstone courses, or Applied Learning Practicum.
Data Science Courses
Core Courses (27 hours)
- MSDS 530 Fundamentals of Data Science (3 cr. hrs.)
- MSDS 531 Statistics for Data Science (3 cr. hrs.)
- MSDS 532 Data Science Programming with Python (3 cr. hrs.)
- MSDS 533 Data Management for Data Science (3 cr. hrs.)
- MSDS 534 Deep Learning (3 cr. hrs.)
- MSDS 535 Data Mining (3 cr. hrs.)
- MSDS 630 Natural Language Processing (3 cr. hrs.)
- MSDS 631 R Programming (3 cr. hrs.)
- MSDS 632 Big Data (3 cr. hrs.)
Capstones or Applied Learning Practicum (4 hours)
- MSDS 690 Data Science Capstone: Theory (3 cr. hrs.)
- MSDS 699 Data Science Capstone: Practicum (1 cr. hrs.)
or
- INTR 599 Applied Learning Practicum*