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College of Professional Studies
The online Master of Science in National Security Intelligence Analysis at the University of New Hampshire prepares students to critically assess and address complex security threats. The curriculum provides a deep conceptual understanding of national and international security issues, strategies, and policies.
Graduates learn qualitative and quantitative research methods, analytical writing, and briefing techniques. The program is designed for those seeking to lead or advance in government, private sector, or nonprofit organizations.
*Number of courses and course credit hours may vary, please reach out to your academic advisor for exact requirements.
The United States faces internal and external challenges to national security. Professional analysts with an advanced understanding of threats and intelligence processes are needed in the government, private, and not-for-profit sectors both in the United States and internationally.
Our Master of National Security Intelligence Analysis will prepare you to join the workforce of intelligence professionals. Your education will position you to play a central role in addressing modern threats. If you wish to advance or make a change in your career, our program curriculum including contemporary case studies and experiential learning will help you develop strong analysis skills to help you become an outstanding intelligence professional.
Program offered online.
Are you interested in using data to provide timely and objective assessment to decision-makers?
Does your curiosity drive you to analyze national security threats and understand their underlying causes – or their solutions?
Have you wondered about what approach is best to analyze a challenging security issue?
If you answered, "Yes!" to any of these questions, then the University of New Hampshire's National Security Intelligence Analysis MS program may be right for you. Government, private-sector, and not-for-profit employers require analysts who have subject-matter knowledge, critical thinking, qualitative, and quantitative (data science) skills that they can apply to domestic and international security problems.
The UNH Master of Science degree in National Security Intelligence Analysis provides the skills necessary to succeed in the government, corporate environment, or not-for-profit sector. The UNH Master of Science degree in National Security Intelligence Analysis (NSIA) is a fully online program designed to be completed in one calendar year, or longer, if part time. NSIA classes will provide you with relevant content and context to become an analyst. Our first academic goal for students is a deep conceptual understanding of the intelligence process, current national security issues, strategies, and policies of the United States and foreign countries. We broadly employ case studies and experiential learning in the curriculum. Our second and third academic goals are critical thinking and methodological training. We give you the tools to analyze threats and understand their underlying issues from the qualitative and quantitative perspectives.
The Master of Science degree in National Security Intelligence Analysis is offered online with two entry points each academic year. Students may choose to enter in August or January each year. Full-time students are able to complete the degree in 12 months by taking 2 classes in each of the 5 terms per calendar year. Part-time students may complete the program in 24 months, taking a minimum of one class per term.
Students must complete ten courses (30 credits) to graduate. All courses are offered online.
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| NSIA 810 | National Security Policy and the Intelligence Community | 3 |
| NSIA 820 | Intelligence Analysis | 3 |
| NSIA 830 | National Security Research Design and Methods | 3 |
| NSIA 840 | National Security Qualitative Research Design and Analysis | 3 |
| NSIA 850 | Intelligence Analysis Case Studies | 3 |
| NSIA 860 | Survey Design and Analysis | 3 |
| NSIA 870 | National Security Quantitative Research Design and Analysis I | 3 |
| NSIA 880 | Analytical Writing and Briefing Seminar | 3 |
| NSIA 890 | National Security Quantitative Research Design and Analysis II | 3 |
| NSIA 898 | Master's Capstone | 3 |
| Total Credits | 30 | |
Accelerated Master’s programs offer qualified University of New Hampshire undergraduate students the opportunity to begin graduate coursework in select graduate programs while completing a bachelor’s degree. Accelerated master's programs are designed to provide students with an efficient and cost-effective pathway to earn both a bachelor's and master's degree or graduate certificate, enhancing career opportunities and long-term earning potential.
*Some exceptions apply.
*Some exceptions apply.
This graduate degree program is approved to be taken on an accelerated basis in articulation with the following undergraduate program(s):
| Code | Title | Credits |
|---|---|---|
| Homeland Security (B.S.) | ||
| Students select from the following approved 800-level courses that can be completed in the undergraduate senior year for dual credit: | ||
| NSIA 810 | National Security Policy and the Intelligence Community | 3 |
| NSIA 820 | Intelligence Analysis | 3 |
UNH is the first institution in New Hampshire to be designated a National Center of Excellence in Cyber Defense Education by the U.S. National Security Agency and the Department of Homeland Security.
Our Master of National Security Intelligence Analysis will prepare you to join the workforce of intelligence professionals. Your education will position you to be central to addressing modern threats. The program curriculum includes contemporary case studies and experiential learning that helps students to develop strong analytical skills to become outstanding intelligence professionals.
The UNH College of Professional Studies offers a seamless transition from undergraduate to graduate study. Designed for the working adult, UNH CPS offers graduate certificates and master’s degrees delivered online by scholars-practitioner faculty. Receive a supportive, world-class education that fits your lifestyle, goals, and budget.
The University of New Hampshire’s online graduate tuition and fees information is available on the UNH Student Accounts Website. Program costs and technology fees are subject to change.
Course Fees: Specific courses may have additional course fees. Visit the course schedule for more information.
ADDITIONAL TUITION & FEES INFORMATION
Federal Unsubsidized Direct Loans are a form of federal financial aid available to Graduate Students.
To apply, you must complete the Free Application for Federal Student Aid (FAFSA).
This course provides students an introduction to United States national security policy and the role of the intelligence community. Current and historical case studies will highlight the functions and limits of intelligence activities in support of decision makers policy making and implementation. In this course we survey political, institutional, and cultural challenges confronting analysts as they strive to provide intelligence products relevant to strategic and tactical policy goals.
In this class we define intelligence and focus on analysis. We identify intelligence organizations relationships with policymakers and the types of intelligence products they produce. Students will learn to identify and create intelligence requirements and the related variables and collection targets. We will explore analytical approaches and develop critical thinking skills. In this class we will define data, the causes of intelligence failures, and identify creativity in intelligence analysis.
In this class students explore the differences between academic research and intelligence analysis. We will explore research design and how to select a research approach based on intelligence requirements. You will learn about the ethical conduct of social science research. Building on the framework of intelligence requirements you will learn how to define a research problem and develop related research questions, hypothesis, and design research using appropriate methods.
Qualitative research refers to meanings, concepts, definitions, characteristics, metaphors, symbols, and descriptions of phenomena for study in the natural world. In this class we make linkages to existing research theories and intelligence methodologies. We introduce case study research and design issues.
The evolution of intelligence analysis is examined in this class using case studies to highlight analytical approaches. Institutional and personal perspectives of the role of intelligence analysis and analysts are explored. We will define and discuss the politicization of intelligence. Both strategic and warning intelligence case studies are provided to students to read and interpret.
In this course students will learn about surveys research. Questions such as “What is a survey?” and “Why conduct surveys?” will be posed and answered. Students will learn about ethical issues in survey design and methods. Additional topics include survey error, sampling, nonresponse issues, survey data collection strategies, and survey question design and errors.
Quantitative Design and Analysis I introduces students to data and data analysis. The course provides an overview of statistical learning. Students will learn approaches for stating and refining research questions. We will employ the epicycles of analysis approach to conduct exploratory data analysis. Students will learn how to describe data and use appropriate counting techniques. Basic data visualization will be employed using R.
Students in this course will investigate the cognitive science behind writing and intelligence analysis. Topics include heuristics and chunking, speaking and writing, writing schemes, creativity, analytical writing, organization, presentation, collaboration, editing, case studies, presenting technical information, and decision-maker feedback. Case studies on the psychology of political behavior are presented.
In this course students will develop a data science tool kit they may use to investigate research questions. The methodological approaches students will be exposed to include linear regression, classification, resampling methods, linear model selection, tree-based methods, unsupervised learning, and network analysis. Ethical approaches to the use of data science are reviewed in this class.
The capstone provides the opportunity to demonstrate the students’ mastery of program materials, areas of specialization, and professional goals, in a single intelligence product. In cooperation with a core faculty advisor, each student team designs, researches, and implements a project that is comprehensive and demonstrates their competency to perform as an analyst.