Transform raw data into meaningful information through a combination of statistics, technology, research, and design.
The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need, both nationally and locally, for researchers, analysts, mapmakers, designers, usability experts, and other data professionals. Drawing on the School of Information’s strengths in Information Science and Human–Computer Interaction, the program prepares students for work across the full lifecycle of data, from data acquisition, manipulation, and storage, to statistical analysis and interpretation, and dissemination of data artifacts through visual and narrative means.
The DAV program creates well-rounded data professionals who have strong statistical and technology skills combined with strengths in research, communication, and design, allowing them to ask sophisticated research questions around data, convey information effectively in visual and written communications, and design intuitive, meaningful, and engaging experiences of data.
Special Note for International Students: The DAV program is designated as a STEM program by the Department of Homeland Security (DHS) and thus qualifies for the STEM optional practical training (OPT) extension for F-1 students.
The DAV program consists of 36 credits (12 three-credit classes): six required courses and six electives (including at least one course from another department at Pratt), which must be completed with a B average or better. The program is designed to be completed in two years (three courses per semester) or three years (two courses per semester). Summer courses may reduce this time. Please note that international students must be enrolled full-time (3 courses, 9 credits per semester). Note that courses are held at 11:30 AM, 3 PM, and 6:30 PM.
Required Courses (6 courses, 18 credits)
Foundation (1 course, 3 credits)
INFO 601 Foundations of Information
DAV Core (5 courses, 15 credits)
INFO 640 Data Analysis
INFO 644 Usability Theory & Practice
INFO 658 Information Visualization
INFO 664 Programming for Cultural Heritage
INFO 696 Advanced Projects in Visualization
Elective Courses (6 courses, 18 credits)
Institute-wide Elective (1–2 courses, max 6 credits)
Pratt Institute graduate-level courses (requires permission of program coordinator). Recommended departments include Digital Arts, Graduate Center for Planning, Graduate Communications Design, Humanities and Media Studies, Industrial Design, and Social Science and Cultural Studies.
Electives (4–5 courses, 12–15 credits)
INFO 608 Human Information Interaction
INFO 609 Introduction to Spatial Thinking and GIS
INFO 612 Advanced GIS
INFO 613 Government Information: Users, Sources & Democracy
INFO 614 Interactive Web Mapping and Coding
INFO 615 Spatial Statistics for GIS
INFO 619 Information and Human Rights
INFO 628 Data Librarianship & Management
INFO 630 Research Design & Methods
INFO 637 Programming User Interfaces
INFO 638 Web Development
INFO 639 Database Design & Development
INFO 641 Visual Communication & Information Design
INFO 643 Information Architecture & Interaction Design
INFO 646 Digital Product Design
INFO 648 Mobile Interaction Design
INFO 649 Practical Ethnography for User Experience
INFO 650 Speculative Design
INFO 654 Information Technologies
INFO 657 Digital Humanities
INFO 659 Advanced Projects in Digital Humanities
INFO 680 Instructional Technologies
INFO 682 Projects in Information Experience Design
INFO 685 Digital Analytics: Web, Mobile and Social Media
INFO 688 Institute on Map Collections
INFO 697 Special Topics (with permission of program coordinator)
INFO 698 Practicum/Seminar
Student Learning Outcomes
Throughout the DAV program, students will create a digital portfolio to highlight the work they have completed and demonstrate they have met the program’s five student learning outcomes (SLOs):
- Research—Students can develop complex questions surrounding data and select and apply appropriate methods to answer them.
- Communication—Students can formulate reasonable interpretations of data and share them effectively through visual and narrative means.
- Technology—Students can choose and employ appropriate tools for data collection, storage, manipulation, analysis, visualization, dissemination, and preservation, as relevant to goals, tasks, and users.
- User-Centered Design—Students can identify relevant users and develop intuitive, meaningful, and engaging experiences for them.
- Critical Perspectives—Students understand the broad impact of data on society and can raise critical questions about data, its interpretation, and visualization, and the methods by which these are produced.
Note that we provide a table that illustrates which courses supply DAV Portfolio projects, and which student learning outcomes specifically they address.
A sample of recent student work is available at the Research @ Pratt SI website.
If you intend to complete an advanced certificate, once enrolled in the program please submit the Certificate Declaration Form at your earliest convenience.
Applicants to the program must hold a baccalaureate degree from an accredited university. The applicant must have a superior scholastic record or otherwise give evidence of ability to perform work on the graduate level and are expected to offer evidence of maturity and leadership potential for the profession.
All applicants must apply using the online application, upload the following top three items, and submit requests for recommendations online.
- Official transcripts of all previous postsecondary education
- A statement of purpose describing interest in the program as well as personal goals
- A current resume/CV
- Request two letters of recommendation online from academic or professional sources
- [Optional] You may also include additional materials to demonstrate your skills and/or interests, which may take the form of an online portfolio, academic research paper, analytical report or presentation, or other relevant work sample. Along with your personal statement, please include a link/URL where we can access these materials and, if necessary, a brief explanation.
International students whose first language is not English must submit the TOEFL, IELTS, or PTE. The minimum required TOEFL score is 82 (Internet), IELTS of 6.5, and PTE score of 53. Students who are not international but whose first language is not English must submit the GRE, TOEFL, IELTS, or PTE. Applicants may apply for non-matriculated status if desired and take up to six credits.
Chris Alen Sula, Ph.D.
Questions? For admissions inquiries, please contact Graduate Admissions at 718.636.3514 or email@example.com. For all other inquiries, contact the School of Information at 212.647.7682 or firstname.lastname@example.org. For more information, you may also request a catalog and sign-up to attend an information session.
Requirements for Ms Data Analytics & Visualization, 2018
- Semester 1
- Semester 2
Complete the following required courses.INFO-644 Usability Theory & PracticeINFO-664 Programming For Cultural Heritage
ORORINFO-612 Advanced GISORORORORORORORORORORORORORORORORORINFO-685 Digital Analytics: Web, Mobile and Social MediaORMobile and Social MediaOROROR
- Semester 3
Complete two of the following Data Analytics & Visualization Electives and one All Institute Elective.INFO-608 Human Information InteractionORORORORORORORORORORORORORORORORORORORINFO 685 Digital Analytics WebORMobile and Social MediaOROROR
- Semester 4
Complete the following courses and one 3 credit All Institute Elective.INFO-696 Advanced Projects in Visualization
ORORORORORORORORORORORORORORORORORORORINFO 685 Digital Analytics WebORMobile and Social MediaOROROR