Learn to Extract Insights from Data
Data Science is an emerging field that combines methods from machine learning, artificial intelligence, and statistics with entirely new technologies for handling vast amounts of complex and quickly-changing data. The job of a data scientist is to apply these methods to gather information and achieve goals that are otherwise impossible for human experts due the large quantities and complexity of the data.
In the University of New Haven’s M.S. in data science program, you will develop proficiencies in the key skills expected of leading data scientists, including deep learning and statistical analysis, and the data skills needed to work with unstructured data and Natural Language Processing (NLP).
Learn from professors who are dedicated to your success.
Our faculty are leaders and innovators in their fields, bringing both deep professional experience and academic rigor to the classroom.
Get an inside look at what differentiates the University of New Haven and how your experiences as a student will prepare you for success.
Career Development
Graduate Student Housing
Nationally Recognized
Nationally Recognized Center for Career Development
All University of New Haven students have access to the many resources available through the University’s Career Development Center, which has been named one of the best in the nation by The Princeton Review.
From career assessments, networking, and job shadowing to on-campus interviews and salary negotiation, the Career Development Center provides the skills and connections to identify a meaningful career and an opportunity to pursue your passion.
Learn MoreEnvision Your Future
The information below is designed to show the many possible careers you could pursue with your major. The research is provided by Encoura, the leading research and advisory firm focused exclusively on higher education. It includes median national salaries and industry growth projections over the next decade. Click here to view the full report.
Software Developers
21% Growth 2021-2030
Data Scientists
25% Growth 2021-2030
Statisticians
26% Growth 2021-2030
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Machine Learning
An introduction to machine learning theory, design and implementation. Includes mathematical fundamentals, methods for classification, regression, unsupervised learning, and core concepts from statistical learning theory. Course will emphasize and use Python tools and machine learning application to real datasets.
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Intro to Artificial Intelligence
An introduction to the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision theoretic modeling paradigm.
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Deep Learning
This course covers artificial neural networks and modern network architectures with an overview of achievements and open problems in deep learning. Emphasis is placed on hands-on programming using modern frameworks and real data. Topics include convolutional, recurrent, and unsupervised-learning networks.
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Natural Language Processing
An exploration for essential data science skills involved in working with unstructured data, including transforming it into structured data types able to be analyzed, processed, and used for machine learning and information retrieval algorithms. Material focuses on natural language processing and classification techniques used in text mining.
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Distributed and Scalable Data Engineering
Advanced topics in "Big Data" infrastructure and architectures focusing on computing resources and programming environments to support the development of efficiently scalable high-volume distributed machine learning algorithms.
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Full List of Courses and Learning Outcomes for Data Science, M.S.
The University of New Haven offers a wide variety of in-depth courses that create a transformational educational experience for our students. To view the complete list of courses you'll take while pursuing a M.S. in Data Science, check out the Academic Catalog:
News
The Charger Blog
New Data Science Grad: 'I Found a Sense of Belonging and Community'
As Jyoti Bhandari '24 M.S. reflects on her time as a Charger, she remembers all that she's learned in and out of the classroom. She says she discovered a passion for data science and that she feels prepared to excel in the field.
Various Dates
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Admission Requirements
An advanced degree from the University of New Haven will help you take your career to the next level. Each program offers convenient scheduling, personalized attention, and state-of-the-art facilities.
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Financial Aid Opportunities
The University of New Haven Graduate School is an excellent value with reasonable tuition. Of course, you will still have bills to pay and the Financial Aid office can help.
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