MSPPM - Data Analytics Track
The Heinz College Master of Science in Public Policy and Management degree program's Data Analytics track (formerly Policy Analytics) provides the skills you need to turn raw data into solutions for the most complex public issues.
Government agencies, large non-profit organizations, think tanks, and consulting firms all deal with enormous amounts of data in their attempts to provide better transportation networks, national defense programs, cleaner environments, public education policies, international development programs, development of natural resources, and other public goods.
Through our Master of Science in Public Policy and Management degree's Data Analytics track (MSPPM-Data Analytics), Heinz College will take your STEM undergraduate degree and/or quantitative and analytic capabilities and provide you with a state-of-art analytics education. In addition, the MSPPM-Data Analytics will add professional policy and management knowledge and skills, preparing you to transform data into insightful information for use in public policy and management decision-making.
You will be educated in structuring data-based approaches to complex public issues; assembling and processing large data sets to make then ready for use in analysis; estimating models that explain behavior of complex social systems to provide the levers for policy making; detecting, predicting, and forecasting important behavioral patterns in massive data sets to aid policy design and resource allocation; and visualizing and communicating the results of analysis to decision makers, stake holders, and the public.
Heinz College, with its schools of Public Policy & Management and Information Systems & Management, is uniquely positioned to offer professional graduate education in data analytics. Few, if any, public policy or administration programs can provide the breadth and depth of coursework in analytics that Heinz College offers. You will learn about data mining methods, machine learning methods, operations research/management science decision models, data warehousing, geographic information systems, probability and statistics, econometric methods, computer programming and statistical computer package programming, database management systems, data visualization, program evaluation, cost benefit analysis, and more.
We have assembled data analytics faculty who combine deep expertise in advanced analytic techniques and real-world applications. Students gain hands on experience through coursework and through applied research experiences at Heinz College's iLab working with unique, real-world data sets describing behaviors of people using mobile devices, social and digital media environments, smart transportation and health care services. Labs such as the Living Analytics Research Center and Traffic21 have been established with support from industrial partners to provide thought leadership in this important domain.