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 | [email protected] | 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 | [email protected]
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