The Master of Science in data science prepares students for positions in the exploding new fields of data analytics, big data, and data science. The program combines fundamental study in the mathematical foundations with hands-on training in key programming and data analysis tools.
Data scientist has been named the best job in America for the last three years by glassdoor.com with high scores for salaries and job satisfaction. Data science application areas are the core technologies of several of the largest corporations in the world, as well as the most exciting startups of today.
The US Bureau of Labor Statistics (BLS) estimates those in the role of “Computer and Information Research Scientists” with a Master’s degree, earned median pay of $114,520/year (2017). The BLS projects the role to grow much faster than average over the next ten years (19%).
Selected Application areas
The experiential education focus of the University of New Haven emphasizes project-based learning with cutting-edge tools and data. Graduates will be well-prepared to work in an enterprise setting, a fast-moving entrepreneurial environment, or to proceed into the research domain.
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The program does not presuppose a strong mathematical background, though previous coursework in linear algebra, probability and statistics will be helpful for certain methods and application areas. A review of the necessary mathematical background will be provided. Programming skills will be heavily emphasized and developed. Applicants lacking the basic requirements can opt to start early to fill prerequisites.
30 graduate credits are required for completion.
Two courses (6 credits) in mathematical and statistical fundamentals for data science
Four courses (12 credits) in machine learning and artificial intelligence, including both required and optional courses on statistical learning and deep learning methods.
One course (3 credits) in entrepreneurship and leadership.
One course (3 credits) in scalable and parallel computing methods
One course (3 credits) in special topics in data science applications, including possible options in health sciences, business, finance, and other areas.
Capstone project or internship (3 credits)
DSCI 6001 Math for Data Scientists
DSCI 6002 Data Exploration
DSCI 6003 Machine Learning & Data Analysis I
DSCI 6004 Unstructured Data/Natural Lang Proc
DSCI 6005 Machine Learning & Data Analysis II
DSCI 6006 Leadership and Entrepreneuism
DSCI 6007 Distributed & Scalable Data Eng
DSCI 6008 Special Topics
DSCI 6010 Artificial Intelligence
DSCI 6051 Data Science Internship or Capstone Project
A full-time student is expected to take three courses per semester and finish within 1.5 to 2 years.
A part-time student can complete the course within 3 to 4 years, with many offered in the evenings.
We offer two types of scholarships/assistantship to our international master’s students.
Dean’s scholarship provides up to 50% tuition assistance during their enrollment.
Provost Assistantship offers 75% tuition assistance and the opportunity to work for an academic department up to 20 hours per week during their enrollment.