Governments and public-serving organizations have more data than ever and more pressure than ever to use it well. The Master of Science in Public Policy and Data (MSPP&D) is the University of Virginia’s Frank Batten School of Leadership and Public Policy’s newest graduate program, built specifically to train the “translator” professionals that this moment demands: people with enough technical fluency to work credibly with data scientists, and enough grounding in policy and institutions to turn analysis into responsible public action.
What makes the UVA Batten MSPP&D different
A few unique features set this program apart for prospective students comparing data-and-policy master’s degrees:
- A lean, 12-month design for full-time students. At 31 credit hours, the program is intentionally shorter than some other programs, which average 46 credits, a deliberate choice to get working professionals back into the field faster.
- Primarily online and asynchronous. Most coursework runs asynchronously, with roughly one synchronous hour per course per week, plus brief in-person orientation and capstone experiences — built for students who are working while they study.
- A faculty of scholar-practitioners. Seven Batten faculty members, each holding a Ph.D. in public policy, economics or a related field, deliver the core curriculum, bringing a combined 55+ years of relevant teaching experience.
- A distinct niche. Rather than a generic data science degree, the MSPP&D is purpose-built to train analysts who understand the institutional, political and ethical realities of public-sector data use.
Inside the 31-credit curriculum
The 18-credit core curriculum spans economics, the full data-analysis pipeline, ethics and data-focused leadership, followed by a 4-credit capstone and 9 credit hours of electives.
The analytical core: economics and the data pipeline
Economics for Data and Policy (LPPA 7100) integrates economic modeling with empirical data, teaching students to test hypotheses and generate predictions about how policy interventions actually play out.
From there, the Data-Driven Analysis for Policy I, II and III sequence (LPPA 7200, 7250, 7300) builds the full analytical toolkit in stages: the first course covers statistical inference and regression; the second moves into causal-inference methods (such as randomized controlled trials, instrumental variables, difference-in-differences and regression discontinuity); the third turns to machine learning for prediction, classification and decision support. Students implement all of it hands-on in R, Stata or Python, so the sequence produces working technical skills, not just conceptual familiarity.
The analytical core: economics and the data pipeline
Technical skill alone doesn’t make someone trustworthy with public data. Ethics & Accountability in Data-Driven Policy (LPPL 7200) confronts the legal, ethical and political dimensions of public-sector data use head-on, including the collection, sharing, privacy and the political forces that shape data governance. Data-Driven Leadership (LPPL 7250) then builds the communication side: visualization and presentation skills for conveying complex findings clearly and ethically to audiences who may not share an analyst’s technical vocabulary. Together, these two courses ensure graduates leave the program able to use data responsibly and explain it persuasively, not just crunch it.
The capstone: a real problem with real data
The Capstone Project (LPPP 7800) asks student teams of three to four to apply Batten’s structured “Eightfold Path” policy-analysis framework to a data-centric public policy challenge, this time using authentic datasets rather than toy data. Teams define the problem, analyze the data, evaluate the trade-offs and deliver evidence-based recommendations to real policy leaders, culminating in a written report and an in-person final presentation.
Electives: going deeper
Nine credit hours of restricted electives let students specialize further, with options including Benefit-Cost Analysis, Behavioral Economics, From Data to Policy, AI for Public Good, Data Visualization and Public Interest Data: Ethics and Practice.
Who this program is for:
The MSPP&D is designed for applicants with an undergraduate degree, coursework in introductory calculus and some familiarity with a data-analysis programming language such as R, Python, Stata or SQL. It’ s strong fit for working professionals who want deep data fluency without stepping away from the workforce for years — and for anyone who wants to be the person in the room who can speak both “data” and “policy” fluently.
Is the MSPP&D right for you?
If you’re searching for a program that treats data skills and policy judgment as equally essential — and want to built both in a lean, 12-month format designed around a working schedule — the new UVA Batten MSPP&D is built exactly for that intersection.
Explore the MSPP&D program page or connect with the admissions team to talk through this opportunity.
