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).
Keith Dillon, Ph.D.
Dr. Dillon has more than a decade of industry experience developing data science technology, first at the Hughes Aircraft Company and then for a series of startups. He is the co-founder of Formulens, which licenses data-driven algorithms. He earned his Ph.D. in electrical engineering at the University of California, San Diego, and did postdoctoral research at Columbia and Tulane.
Possible roles and applications include:
- Energy: Creating a system for the best distribution of electricity on a city’s power grid, to maximizing utilization of wind and solar resources through quickly-changing weather conditions.
- Commerce: Detecting and adapting to patterns of fraudulent transactions in the 500 billion online transactions performed each day.
- Healthcare:Developing systems for monitoring data collection captured by wearable devices to identify potential warning signs at an early stage.
- Law Enforcement:Identifying potential warnings of upcoming terrorist activity by scanning the thousands of hours of video uploaded to YouTube each day.
There’s a reason why “data scientist” has been named the country’s top job over and over again. The demand for skilled data scientists is high, salaries are well above average, and job satisfaction tops the charts. There has never been a better time to advance your technical skills and capabilities, strengthen your leadership and communication skills, and emerge as a high-performing data scientist.
The chart below shows the top five jobs in America, according to Glassdoor, and other jobs in the top 50 related to data science, analytics, and big data
|2018 Rank||Job Title||Job Score||Job Satisfaction||Median Base Salary||Job Openings|
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.
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 More
Selected Courses and Programs
A year-long sequence which starts by introducing the essential elements of machine learning, and proceeds to advanced methods for time-series analysis, reinforcement learning, and deep learning.
Core skills necessary for professional data scientists to succeed in an industry setting. Students learn the skills of data visualization in parallel with the soft skills of communicating with a non-technical audience, interviewing skills, and core data science leadership skills. Emphasis is placed on enabling students to listen to articulated business needs or problem cases and learn how to propose as well as execute data science solutions to effectively meet these needs.
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.
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.
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:
Upcoming Graduate School Events
There are a variety of opportunities for you to learn more about our master’s degree programs, what it is like to be a student here, and the scholarships, assistantships and financial aid that we offer. Whether you want to meet us on campus or online, we have something for you.
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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.
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.