Central to Turning Information into Insight.
Earn a Central MS in Data Science to take the lead in high demand careers in virtually every industry, including medicine, business, engineering, communication, cybersecurity, you name it! Take advantage of our first-in-the-nation data mining and data science program to gain hands-on experience with some of the most powerful software available. All our core courses are offered asynchronous online, so you are not required to log in at a particular time.
Program Features
- Starts every January and August
- 31-credit program
- 100% online courses (for most tracks)
- Take classes anytime
- Python and R software
- Scholarship opportunities
- Financial aid is available
- No GMAT/GRE required
Program Options
Understand the scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Develop data- driven solutions to inform high-level decisions in a broad range of domains.
Master the “fourth paradigm” of science by applying knowledge and actionable insights from data to solve a wide range of problems. Using advanced, cutting-edge data science methods and techniques, design and construct new processes for data exploration, modeling, and predicting future activity.
Combine biology, computer science, information engineering, mathematics, and statistics to analyze and interpret biological data. This field helps develop a better understanding of the genetic basis of disease, unique applications, desirable properties, or differences between populations.
Build on the core curriculum of data analytics to gain a deeper understanding of “big data.” Learn how to acquire, preprocess, store, manage, analyze, and visualize data arriving at high volume, velocity, and variety.
Learn to analyze large volumes of text-based data using machine learning and natural language processing to draw meaning from unstructured text documents. Use techniques to solve applied problems like reducing employee turnover and improving productivity, understanding patient experiences, and synthesizing product reviews into specific recommendations.