This Area of Concentration is optional, yet the successful completion of these requirements will allow this concentration to be noted on your official transcript.

Concentration Courses as Electives

You have the opportunity to heavily customize your MS in Data Analytics and Policy degree because most of the courses listed below can satisfy the Elective Courses requirement.

Area of Concentration Courses

A minimum of four courses are required to earn this Area of Concentration within the MS in Data Analytics and Policy degree.

In the wake of the financial crisis, bank bailouts, and stimulus plans, the relationship between American economic power and national security is especially salient. In this course, students investigate core topics in international political economy, analyzing the security implications of each. Topics include trade relations, international finance, monetary relations, poverty, and development. (Core course for the MA in Global Security Studies. Recommended elective for MA in Public Management)

This course is designed to introduce students to the public policymaking process, to the basics of policy analysis, and to the substance of some of today’s major policy debates. The first half of the course focuses on establishing a framework in which to analyze public policy formulation within the United States. The class also reviews the tools for developing and implementing policy. The second half of the course turns to policy analysis of some critical contemporary issues. Building on earlier readings, we will study current debates in economic/tax policy, education, health care, social security, and national security. (Core requirement for the MA in Public Management. Elective option for Government. Analytics students)

This course focuses on financial aspects of public sector organizations and institutions. The objectives of this course include helping students (1) learn the basics of public sector accounting and the construction of their financial reports, (2) become more intelligent users of the financial statements of public sector organizations such as sovereign, state, and municipal institutions, and (3) better understand the factors that affect the financial condition and financial performance of such entities.

More specifically, the course focuses on (1) the financial reporting concepts and standards that are applicable to public sector organizations; (2) ratios and other summary indicators used by analysts to evaluate the financial condition and financial performance of public sector and nonprofit organizations; (3) the analysis and interpretation of financial statements of selected public sector organizations; (4) fundamental finance principles; and 5) basic principles of budget formulation.

Economic thinking provides an important set of tools for almost every aspect of public policymaking. This course aims to offer students a basic understanding of economics and its importance in public policymaking. The first half of the course will offer students an understanding of microeconomic and macroeconomic theory, including a discussion of when markets can work to achieve policy goals and when “market failures” call for government intervention. The second half of the class will use these economic tools and theories in order to survey several specific policy areas, including health policy, tax policy, and the national debt. (Core course for the MA in Public Management This course counts toward the Economic Security concentration (GSS). Elective option for Government Analytics students.)

The federal budget process is an enormously complex mixture of administrative routines and mechanisms designed to bias decisions, avoid blame, or reduce conflict. This course explores the structures of federal budgeting in terms of its varied goals and in the context of the wider governing process. The course will review the budgetary process in both the executive and congressional branching, as well as the interaction of those two systems. In order to gain understanding of the difficult policy choices and political pressures policymakers face, students will be asked to do a simulation of a budget process within the executive branch. The role of entitlements, scoring issues, and tax policy will be examined in the context of the debate over budget policy. The course will start with a short primer on finance theory. (Recommended elective for MA in Public Management. Elective option for Government Analytics students.)

With the passage of the Foundations for Evidence-Based Policymaking Act, all federal agencies are now required to make data accessible to the public and to implement specific plans for developing statistical evidence to inform policymaking. This course will examine the ways in which evidence and expertise are now being used for policy development and assessment. Specific topics will include cost-benefit analysis, cost effectiveness analysis, contingent valuation, forecasting and the communication of statistical evidence. In addition, the course will explore the interplay between political decisionmakers, experts and citizens in the evidence-based policymaking process.

Risk management has always been in the vanguard of data analytics because risk measurement is a critical element in calculating risk/return tradeoffs. This course will examine both qualitative and quantitative analytical methods commonly used in risk management. Qualitative tools include impact/likelihood analysis; event and fault trees; threats, vulnerability, and consequences (TVC); and failure mode and effects analysis (FMEA). However, a key lesson in risk management is that what gets measured gets managed. As a result, a major part of the course will focus on quantitative tools, including modeling and stochastic simulations. We will use the @Risk software to build realistic risk models, including one in assessing project management risks. The objective of the course is to equip students with practical tools they can apply in risk-based decision making. Prerequisites: 470.681 Probability and Statistics; working knowledge of Excel

This course introduces students to big data management systems such as the Hadoop system, MongoDB, Amazon AWS, and Microsoft Azure. The course covers the basics of the Apache Hadoop platform and Hadoop ecosystem; the Hadoop distributed file system (HDFS); MapReduce; common big data tools such as Pig (a procedural data processing language for Hadoop parallel computation), Hive (a declarative SQL-like language to handle Hadoop jobs), HBase (the most popular NoSQL database), and YARN. MongoDB is a popular NoSQL database that handles documents in a free schema design, which gives the developer great flexibility to store and use data. We cover aspects of the cloud computing model with respect to virtualization, multitenancy, privacy, security, and cloud data management.

Prerequisite: 470.763 Database Management Systems

Technology Requirements: A 64-bit computer with a chip that supports virtualization (set via BIOS) Windows Operating System 7, 8, or 10 At least 8 Gb of Physical RAM Oracle VirtualBox version 4.2 (free) Please be in touch with the instructor with questions about the technology requirements.

This course addresses the legal, policy and cultural issues that challenge the government and its citizens in the increasingly complex technical environment of privacy. We will examine the challenges in balancing the need for information and data against the evolving landscape of individual privacy rights. The course will examine privacy at all levels: by analyzing the shifting views of individual privacy by citizens as well as the technological challenges in both protecting and analyzing personal information for government use. Using case studies and hypotheticals, we will discuss the issue of transparency in the government use and retention of data. The cases will range from Facebook to healthcare.gov to sunshine laws to national security uses of information. We will trace the development of legal and policy measures relevant to privacy concerns and envision future solutions needed in an era of great technological innovation including the use of big data. Prerequisite: none

This course provides students with a strong foundation in database architecture and database management systems. Students will evaluate the principles and methodologies of database design and techniques for database application development. Students will also examine the current trends in modern database technologies such as Relational Database Management Systems (RDBMS), NoSQL Databases Cloud Databases, and Graph Databases. Prerequisite: none

From the perspective of a nonprofit leader, this course provides a solid foundation in understanding key financial tools such as audits, financial statements, budgets and tax documents. Using these tools, students will analyze and assess the financial transparency, accountability, and health of various national and international organizations, determine the financial strengths and weaknesses within those organizations, learn how to use that information in the decision-making process, and finally, practice making informed recommendations to organizational leadership. This course is not designed to make students financial experts or practitioners. Instead, it is designed to enlighten students on key financial management concepts that improve their ability to be informed leaders, participants, and donors in the nonprofit sector. Students will also explore the responsibilities and consequences of international nonprofits engaging in activities in the US, as well as implications for US nonprofits operating abroad. This is an elective course for the Certificate in Nonprofit Management.
STATE-SPECIFIC INFORMATION FOR ONLINE PROGRAMS

Students should be aware of state-specific information for online programs. For more information, please contact an admissions representative.

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