The Master of Science in Information Design and Data Visualization (IDDV) is a STEM-designated program that prepares students to explore and communicate digital information through visual languages. With a research and analysis focused curriculum, students develop fluency in the theoretical, cognitive, visual, and technical aspects of data visualization to effectively engage a wide range of audiences. The 32-credit program is completed in one year across two semesters. The first semester focuses on foundational courses in visual communication, statistics, design studio, and cognition. The second semester advances these skills through visualization technologies, research methods, critical thinking, and a studio and elective tailored to individual interests.
The program welcomes students from diverse academic and professional backgrounds including architecture, graphic design, journalism, communications, business, humanities, and the sciences. Students benefit from Northeastern’s collaborative research environment and its location in Boston, a global center for technology, science, and design. Graduates are prepared to work in technology, media, finance, healthcare, design firms, research institutions, and public service, and have opportunities to expand their learning through graduate certificates, cooperative education experiences, or by continuing into a terminal Master of Fine Arts degree.
Study in Vancouver, BC
The MS in Information Design and Data Visualization program is also available at Northeastern University in Vancouver.
Apply Now
Learning Outcomes
Students will gain the skills to design and implement visual and interactive information displays that clarify complex matters, explain processes, reveal insights, elucidate concepts, and relate stories. The program will guide them how to:
- Develop confidence using quantitative and qualitative design research methods to collect small and large data sets. Analyze and synthesize different types of data to inform decisions throughout the visualization process.
- Engage in critical analysis of data types from multiple sources, case studies, and scenarios of varying levels of complexity. Demonstrate an understanding of visual cognition principles and core techniques and approaches to effectively visualize and map data.
- Combine data sensitivity and analytical methods with design principles to translate ideas and complex issues into graphic forms and visual communications. Create visualizations that reveal meaningful patterns and narratives using a range of techniques and modalities.
- Articulate and develop visual literacy on information design and visualization history, methods, and processes. Develop critical language to assess the quality, effectiveness and efficiency, and ethical considerations of data-driven interventions.
- Represent data using multiple visual languages and formats. Design engaging interactive, data-driven communication and installations, and build compelling data arguments addressing cognitive and perceptual principles.
Degree
Master of Science
Credits
32
Duration
1 Year
Location
Boston
Format
In-person
Type
STEM-designated
