MSPPM: Data Analytics
Heinz College offers a depth of analytics coursework that is unrivaled among policy schools, and the intense MSPPM: Data Analytics pathway is our most quantitatively rigorous public policy program.
As the modern world generates massive amounts of data, large organizations, government agencies, think tanks, and consulting firms all seek the brightest minds with next generation data skills. The need continues to grow in public interest sectors for professionals who can interpret and analyze raw data to improve public programs and policies across areas such as education, transportation, energy and the environment, criminal justice, sustainable development, national security and defense, and health and human services.
You can step up and take on such challenges.
Our MSPPM: Data Analytics pathway will train you to harness the power of data and analytic technologies to transform organizations that serve the public good. MSPPM-DA graduates have a truly unique skill set in the policy field. and are highly sought by employers, including the top firms and agencies in our partner network.
In addition to world-renowned faculty with deep expertise in analytics, Heinz College houses several analytics-driven research institutes, including the Block Center for Technology and Society, Metro21, Traffic21, and the Living Analytics Research Center providing even greater exposure to real-world problems and decision-making while in school.
Location: Pittsburgh, Pennsylvania
Duration: 2 years / 4 semesters (Fall, Spring, Summer Internship, Fall, Spring)
Data Science for Social Good & Public Interest Technology
Heinz College is a global leader in applying data science to public policy and using technology for public good. Among policy schools, we have the deepest bench of data scientists and analytics experts to help you convert data into human-centered solutions. Under the direction of our faculty experts, our policy analytics students tackle complex problems such as:
- Predicting resource shortages at senior care facilities during COVID-19
- Promoting fairness and reducing bias in criminal sentencing
- Combatting the opioid crisis by helping social workers identify abuse
- Improving transparency and data-sharing across public service agencies
- Mapping public utilities using data and technology
- Reducing waste and fraud in the Medicare system
- Using text analytics and machine learning to fight poaching and illicit trade
- Testing feasibility of large-scale projects in renewable energy, like solar farms and biogas
My Story: Gursmeep
Gursmeep Hundal (MSPPM-DA '18) grew up "all over India." In the MSPPM: Data Analytics program, she found the right blend of curiosity and reason to have an impact in the world.
My Story: Jafar
Jafar Haider (MSPPM-DA '19) came back to grad school looking for a challenge. In MSPPM: Data Analytics, he gained a new network, a new skillset, and a whole new outlook.
MSPPM: DATA ANALYTICS CURRICULUM
YEAR 1 - FALL SEMESTER
- Programming R for Analytics
- Statistical Reasoning with R
- Intro to Database Management
- Intermediate Database Design and SQL
- Intro to Programming with Python
- Applied Economic Analysis
- Writing for Public Policy
- Strategic Presentation Skills
YEAR 1 - SPRING SEMESTER
- Management Science I & II
- Applied Econometrics I & II
- Data Mining
- Policy & Politics: American or International Perspective
- Financial Analysis
- Financial Statements and Analytics for Companies
--REQUIRED SUMMER INTERNSHIP--
YEAR 2 - FALL SEMESTER
- Organizational Design & Implementation
- Data Science and Big Data
- Applied Analytics: the Machine Learning Pipeline
- A/B Testing: Design and Analysis
- AI, Society, and Humanity
- Cities, Technology, and the Environment
YEAR 2 - SPRING SEMESTER
- Data Analytics Capstone Project
- Decision Analytics for Business and Policy
- Big Data and Large Scale Computing
- Managing Analytics Projects
- Critical Analysis of Policy Research