Public Informatics Joint and Dual Degrees

The Master of Public Informatics program offers the following dual degree options.

Dual Degree Program in Public Policy (MPP/ MPI)

Combining the Bloustein School’s Master of Public Policy (MPP) and Master of Public Informatics (MPI) leads to a three-year dual degree option for program and potential applicants. Admission to the dual MPP/MPI degree program is highly selective and requires simultaneous, separate applications to and acceptance by each program. A total of 60 credits must be completed in a minimum of two and a half years of full-time study.

The MPI degree requires 30 credits of core courses and 6 credits of electives. Dual degree students starting in the MPI must complete 24 MPP-eligible credits beyond their 36-credit requirement for the MPI degree, totaling 60 credits.

The MPP degree requires a set of core, concentration and elective courses. The list of core, concentration, and elective courses for the MPP degree may be found here. Dual degree students starting in the MPP must complete 12 MPI-eligible credits beyond their 48-credit requirement for the MPP, totaling 60 credits.

Information sheet and sample program

Dual Degree Program in Urban Planning and Public Policy (MCRP/MPI)

Combining the Bloustein School’s Master of City and Regional Planning (MCRP) and Master of Public Informatics (MPI) leads to a dual degree option for program and potential applicants. Admission to the dual MCRP/MPI degree program is highly selective and requires simultaneous, separate applications to and acceptance by each program. A total of 60 credits must be completed in a minimum of two and a half years of full-time study.

The MPI degree requires 30 credits of core courses and 6 credits of electives. Dual degree students starting in the MPI must complete 24 MCRP-eligible credits beyond their 36-credit requirement for the MPI degree, totaling 60 credits.

The MCRP degree requires a set of core, concentration and elective courses. The list of core, concentration, and elective courses for the MCRP degree may be found here. Dual degree students starting in the MCRP must complete 12 MPI-eligible credits beyond their 48-credit requirement for the MCRP, totaling 60 credits.

Information sheet and sample program

Haoyun Wang, MCRP/MPI ’20

“I enrolled in Theory and Practice of Public Informatics with professor Clinton Andrews, where I learned how public informatics could be utilized to address a wide range of urban issues. This course led me to pursue the MPI degree. I loved the interdisciplinary nature of the curriculum with a strong focus on the combination of applied data science and urban planning. In addition, the public informatics faculty have diverse backgrounds, including transportation modeling, GIS, energy policy, and big data analytics.”

Ali Jan MPI ’22

Ali Jan is a highly skilled data analyst and an alumnus of Public Informatics at Rutgers University. With a careful selection of courses, research work, and an internship at the MPI program, Ali has honed his expertise in data analysis, statistical modeling, and technical report writing. Currently working as an Analyst at the Heldrich Center for Workforce Development, he is studying student education completion and workforce outcomes, focusing on scenarios such as the “some college no degree” population and remedial education. Additionally, Ali has experience in financial analysis, specifically working with the Division of Family Development in NJ to compare simulated payments made under attendance versus enrollment policy payments, to identify potential tax dollar savings and prioritize resource planning through data-driven decisions.

According to Ali – “Data is a powerful tool that can inform policy decisions and drive positive change in society. As a data analyst, it’s important to always be curious, ask the right questions, and utilize the best tools available to gain insights from the data.” he also emphasizes teamwork: “By working collaboratively with stakeholders, we can use data to identify areas for improvement and make data-driven decisions that have a real impact on people’s lives.”