18 MONTHS
Earn your M.S. in Applied Data Science in less than two years.
Flexible Deadlines
Submit your application on your schedule.
Expert Guidance
Receive dedicated support from leading faculty.
Learning Outcomes
Students in the Applied Data Science Master’s program will:
- Demonstrate an ability to acquire, assess, manage, and organize data.
- Clean, process, and prepare data for analysis.
- Apply suitable methods to analyze real-world data and interpret the results.
- Critique and identify limitations of analyses.
- Create, interpret, and critique visualizations of data and results.
- Effectively communicate (in writing and orally) methods and results of analyses to technical and non-technical audiences
- Demonstrate the ability to successfully complete the full cycle of a project based on complex data.
Program Overview
By earning your 30-credit hour Master of Science in Applied Data Science degree, you can prepare to make a bigger difference in your workplace and in the lives of the people it helps to serve.
Program Highlights
- 30 Credit Hours
- Flexible Deadlines
- $750 per Credit Hour
- No GRE Required
Who Should Pursue an M.S. in Applied Data Science?
Curious professionals with a passion for strategy, analytics, research, and the practical application of data analysis can build upon their current knowledge and skills with Eastern Connecticut State University’s online Master of Science in Applied Data Science program. The potential career outcomes are vast and may inspire those wanting to pursue new opportunities in business, finance, healthcare, sports, entertainment, the sciences and education.
As an online student, you will explore a robust curriculum that includes the study of big data management, machine learning techniques, database modeling and visualization design principles, among other relevant topics.
Career Opportunities
The growth potential for those interested in pursuing their graduate education in applied data science speaks for itself. In fact, the U.S. Bureau of Labor Statistics (BLS) predicts that the demand for data scientists is projected to increase by 36% between 2023 and 2033. The BLS also reports a median salary of $108,020 per year for those in this role.*
Potential Careers Include:
- Data Scientist
- Data Analyst
- Data Engineer
- Machine Learning Engineer
- Business Analyst
Program Coordinator
Dr. Garrett Dancik
Professor and Department Chair, Computer Science
Dr. Dancik is interested broadly in data science, but specializes in bioinformatics and computational biology. His research involves applying statistical, mathematical, and computational models to answer biological questions and to gain insight into biological systems. His current work focuses on the identification of genomic biomarkers in cancer and methods for mining biomedical literature. Dr. Dancik earned an M.S. in Statistics, and a Ph.D. in Bioinformatics and Computational Biology from Iowa State University.