Data Analytics

DATA ANALYTICS GRADUATE PROGRAMS

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Your Data-Driven Career 

Today’s top industries need more professionals with the expertise and vision to translate big data into better ways of doing things. At the University of New Hampshire Graduate School, our advanced data analytics programs are designed for relevant professional pathways in health care, business and the biological sciences. Find the right program for your data-driven career goals. 

How to Apply

In-Person Programs of Study

Online Programs of Study

#8

in 100 Best Jobs in 2021

- U.S. News and World Report

R1

Top-Tier Research

- CARNEGIE CLASSIFICATION

51K

Data analytics job postings in 2020

- BURNING GLASS

What will you study?

The UNH Graduate School’s advanced data analytics programs aren’t just built for a single industry or career, but for the future of decision making. Our unique approach pairs academic expertise in big data, machine learning and statistical modeling with industry-ready professional development, all in a supportive, student-focused environment. Find insight in the noise – and turn it into actionable leadership. Whether you want to shape the next generation of healthcare, unlock tomorrow’s breakthroughs or help businesses navigate growth markets, this is how you stand out. 

Program Highlights

Flexibility:
Our advanced data analytics programs are designed for working professionals, with classes offered at convenient times at either our Durham campus or online. 

Applied Learning:
Case studies play a critical role in your coursework. Work with the same big data tools you’ll need to solve problems on the job. 

Supportive Environment: 
Benefit from small class sizes and a Student Success Coach from the time you inquire right through graduation.

Certificate Option:
Add a data or business analytics skillset to your resume in as few as four months. 

  • Image of Melinda
    Faculty Spotlight 

    "In 2017, assistant professor of decision sciences Melda Ormeci Matoglu and her co-authors rocked the data analytics world with their solution to the unified flight system problem. OrmeciMatoglu’s study measured countless permutations and, accounting for all complex aviation rules — ranging from minimum connection times to maximum landings a crewmember can do in a day, to rules governing location and flight patterns — and arrived at a formula for getting planes and crew in the air, keeping them there, and saving money.  "

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