Central to Turning Information into Insight.
Earn a CCSU 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.
- 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
General Data Science (100% Online)
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.
Advanced Methods (100% Online)
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.
Bioinformatics (100% Online)
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
Computational Analytics (Online and On-Campus)
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.
Text Analytics (100% Online)
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
I directly attribute my professional success to the world-class education I received
at CCSU. The courses I took at CCSU 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
Our Master’s in Data Science is ranked as a “Best Buy” program by geteducated.com
- 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.
- Evaluate the true consequences of making false positive or false negative decisions.
- Demonstrate proficiency with leading open-source analytics coding software such as
R and Python, as well as commercial platforms.
- 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.
- Learn more specialized techniques in bioinformatics, text analytics, algorithms, and
other current issues.