Download MS in Analytics Brochure

MASTER OF SCIENCE
Analytics
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.
Program Highlights
Interdisciplinary approach with the opportunity to specialize in
healthcare, marketing, operations management, or self-design study.
Work in analytics teams on projects sponsored by our industry partners.
Gain expertise in advanced predictive modeling, market segmentation
and text analysis.
aster programming languages like Python, SQL, R and SAS, and
M
become fluent in big data frameworks like Hadoop and MapReduce.
Intensive, full-time, on-campus program provides a specialized set of
skills in just 11 months of study.
unh.edu/analytics
TAKE THE NEXT STEP
Schedule a tour, apply,
or get more information today.
[email protected]
603.862.0803
Learn. Apply. Lead.
Class of 2016
By 2018, the U.S. will
face a shortage of between
140,000-190,000
people with the technical
skills necessary to work
effectively with data *
From 2010 to 2013, there was a
32% increase
in demand for college graduates
with data analytics skills **
* according to the McKinsey Global Institute
** according to the Education Advisory Board
Learn why Forbes called Data Scientist the
most promising job of 2016.
For more information, visit unh.edu/analytics
Master of Science in Analytics Curriculum Outline
Modules
Semester/ Course Number/ Course Name
Sub Modules
1
Summer
2
Fall
3
Spring
DATA 800 DATA 801 DATA 802 DATA 803 DATA 900 DATA 901 DATA 911 Cluster DATA 902 DATA 903 DATA 912 Cluster
Data
Analytics
Analytics Elective Analytics
Analytics
Analytics Elective
Statistics Foundations Analytical Introduction
Primer
of Data
Tools and to Analytics Architecture Applications Practicum I Course Methods Applications Practicum II Course
Analytics
Algebra
Business
Intelligence
Data
Architecture
Machine
Learning
Practicum
Programming
Statistics
Matrix Algebra
Customer Analytics & Segmentation I & II
Optimization & Risk Analytics
Big Data I & II
Data Mining I & II
Text Mining I & II
Simulation
Compatibility Across Softwares
Bayesian Analysis
Machine Learning Algorithms I & II
Practicum Project & Industry Project
Data Cleaning and Management I & II
SAS Programming
Python Programming I & II
SAS Boot Camp
R
Probability
Statistical Inference
II
5
1
2
2
5
4
3
Multivariate Techniques
Advanced Predictive Modeling
Design of Experiments
Propensity Score Matching
Survival Analytics
Survey & Psychometry
Visualization I & II
1
1
1
1
4
3
X
4
X
2
X
3
2
1
3
2
3
4
3
5
Data Exploration & Imputation
Intro. to Predictive Modeling
Time Series & Forecasting I & II
Visual Analytics
I
Foundations Applications
6
3
X
3
3
2
2
2
3
2
2
2
2
3
www.unh.edu/analytics/
Putting Your Degree to Work
Our students graduate with cutting-edge technical skills and the
strong collaborative and communications know-how essential
for data analytics careers. Possible industries include aerospace,
financial, legal, manufacturing, marketing, and healthcare.
2
X
Professional possibilites include:
• Healthcare data analyst
• Data visualization analyst
• Digital marketing analyst
• Data modeler
• Cybersecurity analyst
• Forecast analyst
• SQL server developer
University of New Hampshire at Manchester | 400 Commercial Street, Manchester, New Hampshire 03101
University of
New Hampshire
| Durham, New Hampshire| manchester.unh.edu
| unh.edu
Office of Admissions
| 603-641-4150
| [email protected]
Master of Science in Analytics | [email protected] | 603.862.0803
- Denotes number of weeks
- Semester Long