Master of Public Administration (MPA)

Analytics Concentration

100% Online NASPAA-Accredited MPA Program

Over the last few years, making data-driven decisions in organizations has taken on increasing importance. To address these critical skills in the non-profit sector, Marist College has developed the Analytics concentration through the Master’s in Public Administration graduate degree program.

The goal of the MPA's Analytics concentration is to provide students with a solid knowledge of the critical issues related to managing data in organizations. The concept of data as a resource, the data environment, the database approach, and the need for data modeling are examined in detail.

New Analytics Concentration Begins Fall 2018!

The MPA in Analytics is available through Marist College’s 100% online curriculum. The online course structure is designed for professionals working in the public and non-profit sectors looking to earn their degree through a full- or part-time master’s degree program. Through virtual classrooms, students are provided with the fundamentals of public management including, policy analysis and evaluation, financial management, economics, fiscal policy, public policy, and administration as it pertains to the MPA focus.

Contact us to learn more about the Marist College MPA in Analytics concentration. The Marist MPA degree offers exciting educational experiences that prepare students to be able to apply directly for careers in government, private, and nonprofit sectors. 

Loading contact form...

MPA Analytics Online Courses

MSIS 537: Data Management I

*Students taking this concentration need to earn a “B” or better in MPA 508.

A study of the critical issues related to managing data in organizations. The concept of data as a resource, the data environment, the database approach, and the need for data modeling are examined in detail. The growing use of database management systems in managing data is discussed. The data administration function, its relevance in evolving organizations, and emerging issues are also addressed.

MSIS 545 Introduction to Data Analysis and Computational Statistics

*Students taking this concentration need to earn a “B” or better in MPA 508.

This is an introductory course in data analysis with emphasis on statistical computation, analysis, simulation, modeling, and prediction. A basic presentation of modern computational data analysis, graphics, and inferential statistics is provided in a laboratory setting; students gain proficiency in using a statistical software platform such as R. The course will cover probability concepts, important distributions, descriptive statistics and graphical analysis, inferential statistics including confidence intervals, hypotheses testing and ANOVA, as well as correlation and linear regression in one and several covariates. Computational techniques such as the bootstrap and resampling as well as for simulations are stressed throughout. Principles and methods of statistical analysis are put into practice using a range of real-world data.

MSIS 645 Data Mining & Predictive Analytics

*Students taking this concentration need to earn a “B” or better in MPA 508.

A study of the critical issues related to managing data in organizations. The concept of data as a resource, the data environment, the database approach, and the need for data modeling are examined in detail. The growing use of database management systems in managing data is discussed. The data administration function, its relevance in evolving organizations, and emerging issues are also addressed.