Data Science, MS
Admissions Contact
Graduate Recruitment & Admissions
(860) 832-2350
graduateadmissions@ccsu.edu

Academic Contact

Gurbakhshash Singh
Associate Professor
Mathematical Sciences
Marcus White Hall
107
860.832.2834
gsingh@ccsu.edu

Academic Department

Mathematical Sciences

Data Science, MS

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.

I directly attribute my professional success to the world-class education I received Ƶ. The courses I took Ƶ provided me with the depth and breadth of technical skills I needed to hit the ground running in my career, along with an abundance of applied experience solving real-world problems.

James Viscio
MS '17 Data Scientist, Travelers Insurance Company

Did You Know?

Our Master’s in Data Science is ranked as a “Best Buy” program by

Learning Outcomes

  1. Apply data science using a systematic process, by implementing an adaptive, iterative, and phased framework to the process, including the research understanding phase, the data understanding phase, the exploratory data analysis phase, the modeling phase, the evaluation phase, and the deployment phase.
  2. Evaluate the true consequences of making false positive or false negative decisions. 
  3. Demonstrate proficiency with leading open-source analytics coding software such as R and Python, as well as commercial platforms.
  4. Understand and apply a wide range of clustering, estimation, prediction, and classification algorithms including k-means clustering, classification and regression trees, logistic regression, k-nearest neighbor, multiple regression, and neural networks.
  5. Learn more specialized techniques in bioinformatics, text analytics, algorithms, and other current issues.