Homeland Security - Science, Technology, Engineering and Math (HS-STEM)
Career Development Program


The Homeland Security Career Development Program is led by:
Purdue University Visual Analytics for Command Control and Interoperability Environments (VACCINE)

Awards will be provided to full-time graduate students with a research focus in the visualization and data sciences and HS-STEM fields. These awards will apply to students who would like to pursue advanced degrees in the following areas.

  • computer graphics
  • computer science
  • visualization
  • visual analytics
  • human computer interaction
  • image and video processing
  • machine learning
  • advanced databases
  • knowledge management
  • cognitive psychology
  • data analytics
  • cybersecurity
  • forensics
  • decision sciences
  • information and knowledge management
  • massive and real-time data management
  • mobile computing
  • interoperability
  • statistics
  • math


Successful applicants will be expected to work under the close supervision of a VACCINE faculty member to advance the research agenda as it aligns to VACCINE's homeland security mission areas. Awards are also open to senior undergraduates applying to graduate school. Awards are contingent upon acceptance into an appropriate graduate program at Purdue University. Students must be US Citizens and have a minimum 3.3 cumulative GPA.

Basic Eligibility

Applicants Must:

  • Be a U.S. Citizen
  • Be admitted and enrolled full-time into an appropriate Purdue graduate program with research focus in the visualization and data sciences and Homeland Security – STEM fields
  • Currently have and will maintain a cumulative GPA of 3.30 or higher on a 4.00 scale
  • Maintain a 3.00 GPA on a 4.00 scale for any given semester
  • Attend the Annual DHA Scholars and Fellows Orientation Meeting in Washington, DC (expenses paid via the HS-STEM Program)
  • Make and honor the commitment to provide one year of service (one continuous year, two semesters and one summer, or four consecutive summers) at a DHS-approved STEM facility during or immediately following the term of the award




  • Financial Support – via forgivable loans for up to three years
  • Ancillary training opportunities and enrichment experiences
  • Assistance with internship application process
  • Career Development Speaker Series
  • Participation in center-wide VACCINE Center activities
  • All-expense paid conference: Career Development Grant Summit (Washington, DC)
  • Research Assistant in the VACCINE Lab



January 2014 Admission:  Applications due: Monday, December 16, 2013

Student awards announced: Review of applications will begin on this date and continue until the fellowship is awarded.


August 2014 Admission:  Application due:  Monday, March 3, 2014

Student awards announced:  Review of applications will begin on this date and continue until the fellowship is awarded.

2014 HS-STEM Graduate Application

Year of Service Approved Sites - DHS Career Development Program


Visual Analytics related Graduate Courses at VACCINE Partner Universities

Purdue University

  • Visualization Techniques - ECE 595E
      This course will cover topics in visualization: visual analytics, scientific visualization, medical visualization, and information visualization. The format for the course will be group discussions of papers, some lectures by the instructor, and some student presentations of papers.

      Course link:

  • Introduction to Visual Analytics - ECE 695D
      Visual analytics is used in all areas spanning science, engineering, business and government; examples of specific application areas include intelligence analysis for homeland security, business intelligence support to help businesses acquire a better understanding of their commercial context, mobile graphics for emergency first responders, network log analysis for computer security, and health monitoring for disease outbreak prediction and response.

      Course link:

  • Data Visualization - STAT 695T
      The course content will focus fundamentally on how to analyze data. Through many case studies, it will present visualization methods, going through a number of standard numerical methods and models for statistical analysis, showing how visualization enhances these methods and models. This illustrates the use of the visualization methods, and demonstrates why they are essential to valid analyses that preserve the information in data.

      Course link:

Georgia Tech

  • Information Visualization - CS 7450
      Information visualization is a research area that focuses on the use of visualization techniques to help people understand and analyze data. While fields such as scientific visualization involve the presention of data that has some physical or geometric correspondence, information visualization focuses on abstract data without such correspondences such as symbolic, tabular, networked, hierarchical, or textual information sources.

      Course link:

Simon Fraser University

  • IAT 814 - Knowledge Visualization and Communication
      Visualization and Communication are two sides of the same coin. When information and knowledge are perceived we must form our own mental models before we can effectively communicate it. Thus this course will explore how we perceive information from different visualization approaches and how we can best communicate the information and the concepts represented.

      Course link:


  • ITCS 4122/5122 - Visual Analytics
      Visual Analytics is the combination of information visualization with other data analysis techniques to combine the best of both worlds. In this course, you will be using the visualization tool Tableau to analyze a data set of your choice.

      Course link:

  • ITCS 4121/5121 - Information Visualization
      Information visualization is the science that unveils the underlying structure of abstract data sets using visual representations that utilize the powerful processing capabilities of the human visual perceptual system.

      Course link:

Stanford University

  • CS 448b - Data Visualization
      In this course we will study techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science. The course is targeted both towards students interested in using visualization in their own work, as well as students interested in building better visualization tools and systems.

      Course link:

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