Skip to main content

Data Analysis and Communication

Engaging the Challenge, Together. Information for returning to campus.

Data Analysis and Communication

Take a step beyond the data.  

In Agnes Scott’s Master of Science in Data Analysis and Communication, you’ll pair advanced data analysis with powerful presentation skills to deliver answers to the most compelling business questions. Students attain the knowledge and skills to become effective communicators and data-driven changemakers.

You’ll master the science of data collection and analysis and learn the most effective ways to communicate results across diverse stakeholders. You’ll be better equipped to present your findings and effectively make the case for strategic change

Program Overview

Upon completion of this program, you will be better prepared to use appropriate data analysis and presentation techniques to meet the needs of myriad stakeholders.

You will provide data-driven narratives by gaining the following skills:

  • Organize and analyze complex data sets to answer a critical question
  • Employ data visualization techniques to communicate to diverse audiences
  • Analyze and interpret qualitative and quantitative data
  • Design and deliver complex data analyses to multiple audiences


Wendy Kallina, Ph.D. is the founding faculty director of our data analysis and communication and data visualization graduate programs, the director of evaluation and assessment methods, and an associate professor of psychology. Dr. Kallina holds a Ph.D. in human development and family studies from Auburn University and the MSIS in information systems with a graduate certificate in data-mining from Oklahoma State University.


She has more than 20 years experience in data-centric administrative, teaching, and research roles in both non-profit and academic settings. She is obsessed with finding ways to dispel myths like communication is difficult for “data people” and analysis is hard for “non-data people.” Learn more about Dr. Kallina or contact Dr. Kallina at

Program of Study

In the Data Analysis and Communication graduate program, you have the flexibility to tailor your studies to your own interests and goals through the electives from other Agnes Scott graduate programs.

Class Schedule

Each class meets once per week for 2 hrs, 30 minutes:

  • Monday through Thursday at 6:30 - 9:15 pm, or
  • Saturday at 9:00 - 11:00 am or 1:00 - 3:45 pm

Master of Science Program

11 courses (33 credit hours)
  • 6 core courses
  • 5 electives


Core Courses

EAM: Data Collection
EAM: Data Analysis I
EAM: Data Analysis II
APT: Ethical Use of Technology and Data
DVS: Principles of Data Visualization
DVS: Communication of Data


APT: Foundations of Applied Technology
APT: Systems and Critical Thinking
APT: Modeling and Simulation for Insight
DVS: Advanced Data Visualization
EAM: Principles of Evaluation Design
EAM: Project Management
WDC: Grant and Proposal Writing
WDC: Visual Thinking and Web Design