Data ScienceMaster of Science

Data Science is one of the hottest new fields in technology, driving innovation both at technology leaders such as Google and Facebook, as well as in established markets such as security, healthcare, and energy. Data scientist is one of the hottest new jobs of the last decade, with high demand, high salaries, and high marks for job satisfaction.

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).

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.
Job Prospects

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
1 Data Scientist 4.8 4.2 $110,000 4,524
2 DevOps Engineer 4.6 4.0 $105,000 3,369
3 Marketing Manager 4.6 4.0 $85,000 6,439
4 Occupational Therapist 4.5 4.0 $74,000 11,903
5 HR Manager 4.5 3.9 $85,000 4,458
18 Analytics Manager 4.4 3.9 $115,000 1,381
26 Database Administrator 4.3 3.8 $94,000 2,370
33 Data Engineer 4.2 3.7 $100,000 2,816
38 Data Analyst 4.2 3.9 $60,000 4,729
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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.

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Selected Courses and Programs
  • Machine Learning and Data Analysis

    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.

  • Data Science Leadership and Entrepreneurism

    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.

  • 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.

  • Unstructured Data and 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. 

  • 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:

    Data Science, M.S.

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Next Steps
  • 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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