Prashant Mittal

Office: Health Management & Policy, 10 Pettee Brook Lane Suite 1, Durham, NH 03824
Prashant Mittal, Clinical Assistant Professor, Health Management and Policy

Prashant Mittal is a Clinical Assistant Professor at the University of New Hampshire. He primarily researches on prevalence and spread of health conditions, data cleaning and management, statistical analysis using predictive modeling, and dissemination of results. He has worked on several national and regional surveillance systems and evaluation projects. Prashant teaches graduate and undergraduate Applied Statistics, Biostatistics and Data Analytics courses at University of New Hampshire and University of Southern Maine. He is experienced with advanced multivariate statistical predictive modeling, data mining and management and data analysis techniques, survey weighting and methodology implementation. He built the technical infrastructure for a state of the art online query system using Behavioral Risk Factor Surveillance System (BRFSS) data. The system examines and reports prevalence estimates of various health indicators for multiple years and demographic factors. Prashant has expertise in multiple programming languages including SAS® and R, and other point and click statistical software like SPSS, Stata, Systat, Minitab, JMP etc. He possesses masters’ degrees in mathematics and statistics and currently completing PhD in Applied Statistics at the University of New Hampshire. He has presented research papers on quantitative topics and SAS programming.


  • M.S., University of Delhi
  • M.S., Statistics, University of Southern Maine
  • B.S., University of Delhi

Courses Taught

  • DATA 800: Intro: Applied Analytic Stats
  • DATA 801: Foundations of Data Analytics
  • DATA 802: Tools and Foundations
  • DATA 803: Intro Analytics Applications
  • DATA 812: Health Analytics
  • DATA 888: Top/Health Analytics
  • DATA 896: Analytics Lab I
  • DATA 897: Self-Designed Analytics Lab II
  • DATA 900: Data Architecture
  • DATA 901: Analytics Applications I
  • DATA 902: Analytics Methods
  • DATA 903: Analytics Applications II
  • DATA 912: Analytics Practicum II
  • HMP 600: Top/Data Analytics Learn Lab
  • HMP 712: Health Analytics
  • HMP 812: Health Analytics
  • PHP 903: Biostatistics