analytics - university of new hampshire...2 2 1 2 5 4 2 2 3 6 - denotes number of weeks sas oot camp...

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These days, big data is a big deal, and it is everywhere — from professional sports to healthcare, and from e-commerce to government sectors. As the use of analytics grows, so does the demand for people who know how to skillfully extract value from massive amounts of data. The University of New Hampshire’s Master of Science in Analytics degree prepares graduates to fill the current gap in the marketplace. Analytics experts are needed — and in just 11 months, you can become one of them.

AnalyticsProgram Highlights

Immersive, interdisciplinary approach with the ability to specialize (Health, Business, Sports and more) in a full-time, on-campus program

Complete analytic projects with industry partners, gaining real-world experience while building your resume and showcasing your skills

Gain expertise in advanced skills such as machine learning, market segmentation and text analytics, natural language processing, optimization, big data

MASTER OF SCIENCE

University of New Hampshire | Durham, New Hampshire | unh.eduGraduate Analytics & Data Science | unh.analytics@unh.edu | 603.862.0688

Analytics & Data Science

The Northeastern United States ranked highest in job engagement in analytics and data science.

Source: PwC analysis based on Burning Glass Technologies data (January 2017).

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Apply at unh.edu/analytics

Learn. Apply. Lead.

Master of Science in Analytics Durham, New Hampshire | unh.analytics@unh.edu

Connect with our students - visit unh.edu/analytics

Class of 2018

Analytics & Data Science

Source: National Institute of Science and Technology, https://www.pwc.com/us/en/publications/assets/investing-in-america-s-dsa-talent-bhef-and-pwc.pdf

New job postings are projected to reach

2.72 million in 2020

Program Highlights

Professional development through teamwork, communication, critical thinking and project work

The Return On Investment for tuition and lost salary is approximately 18 months.

Rated a top 50 Best Value Programs in the US by Bloomberg in 2015, 2016 and 2017.

"The experience here is invaluable; there is an immense opportunity to grow not only as an analyst, but as a human being." - 2017 M.S. Graduate

Master of Science in Analytics Curriculum Outline

Business

Data Architecture

Matrix AlgebraCustomer Analytics & Segmentation I & IIOptimization & Risk AnalyticsBig Data I & IIData Mining I & IIText Mining I & IISimulationCompatibility Across SoftwaresBayesian AnalysisMachine Learning Algorithms I & IIPracticum Project & Industry ProjectData Cleaning and Management I & IISAS ProgrammingPython Programming I & II

DATA 800Statistics

Primer

DATA 801Foundations

of DataAnalytics

DATA 802AnalyticalTools and

Foundations

DATA 803Introductionto AnalyticsApplications

DATA 900Data

Architecture

DATA 901Analytics

ApplicationsI

DATA 911Analytics

Practicum I

DATA 902AnalyticsMethods

DATA 903Analytics

ApplicationsII

DATA 912Analytics

Practicum II

ClusterElective Course

ClusterElectiveCourse

Algebra

Intelligence

Machine Learning

Practicum

Modules Sub Modules Semester/ Course Number/ Course Name

Summer Fall Spring1 2 3

5

2

2

1

2

54

2

2

3

6

- Denotes number of weeks

SAS Boot CampRProbabilityStatistical Inference

Data Exploration & ImputationIntro. to Predictive ModelingTime Series & Forecasting I & II

Multivariate TechniquesAdvanced Predictive ModelingDesign of ExperimentsPropensity Score MatchingSurvival AnalyticsSurvey & PsychometryVisualization I & II

1

1

2

2

3

3

2

2

3

2

3

2

3

32

Visual Analytics

Statistics

Programming

1

1

1

X

X

3

3

53 X

4

4

24

X

3

X - Semester Long