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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