Data Analytics and Visualization, MS
The Master of Science in Data Analytics and Visualization (DAV) (STEM) 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 life cycle 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.
Course and Credit Requirements
The DAV program consists of 36 credits (12 three-credit classes): 6 required courses and 6 electives which must be completed with a B average or higher. The program is designed to be completed in two years (3 courses per semester) or three years (2 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). Courses are held at 11:30 AM, 3 PM, and 6:30 PM.
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| Foundation | ||
| INFO-601 | Foundations of Information | 3 |
| DAV Core | ||
| INFO-640 | Data Analysis | 3 |
| INFO-644 | Usability Theory & Practice | 3 |
| INFO-658 | Information Visualization | 3 |
| INFO-664 | Programming For Cultural Heritage | 3 |
| INFO-696 | Advanced Projects in Visualization | 3 |
| Electives | ||
| Select at least one Institute-Wide or INFO Elective (maximum 6 credits) | 3 | |
| Select up to five Elective courses | 15 | |
| Total Credits | 36 | |
Elective Courses (6 Courses, 18 Credits)
Institute-Wide or INFO Elective (1–2 courses, maximum 6 credits)
Pratt Institute graduate-level courses. Recommended departments include Digital Arts, Graduate Center for Planning and the Environment, Graduate Communications Design, Humanities and Media Studies, Social Science and Cultural Studies and School of Information. Elective selections, especially outside of the School of Information, should be discussed with your advisor.
Electives (4–5 courses, 12–15 credits)
| Code | Title | Credits |
|---|---|---|
| INFO-606 | Digital Accessibility | 3 |
| INFO-607 | Management and Leadership | 3 |
| INFO-608 | Human Information Interaction | 3 |
| INFO-609 | Introduction to Spatial Thinking & GIS | 3 |
| INFO-612 | Advanced GIS | 3 |
| INFO-613 | Government Information: Sources, Access And Democracy | 3 |
| INFO-614 | Programming Interactive Web Maps | 3 |
| INFO-615 | Spatial Statistics for GIS | 3 |
| INFO-616 | Programming Interactive Visualizations | 3 |
| INFO-619 | Information and Human Rights | 3 |
| INFO-628 | Data Librarianship and Management | 3 |
| INFO-630 | Human-Centered Research Design & Methods | 3 |
| INFO-636 | Conversational User Experience Design | 3 |
| INFO-637 | Programming User Interfaces | 3 |
| INFO-638 | Web Development | 3 |
| INFO-639 | Database Design and Development | 3 |
| INFO-641 | Visual Communication & Information Design | 3 |
| INFO-643 | Information Architecture & Interaction Design | 3 |
| INFO-645 | Advanced Usability and UX Evaluation | 3 |
| INFO-646 | Digital Product Design | 3 |
| INFO-648 | Mobile Interaction Design | 3 |
| INFO-649 | Practical Ethnography for User Experience | 3 |
| INFO-650 | Speculative Design | 3 |
| INFO-651 | Emotional Design | 3 |
| INFO-654 | Information Technologies | 3 |
| INFO-656 | Machine Learning | 3 |
| INFO-657 | Digital Humanities | 3 |
| INFO-659 | Advanced Projects in Digital Humanities | 3 |
| INFO-671 | Sustainable Interaction Design | 3 |
| INFO-682 | Projects in Information Experience Design | 3 |
| INFO-685 | Digital Analytics: Web, Mobile and Social Media | 3 |
| INFO-697 | Special Topics (with permission) | 3 |
| INFO-698 | Practicum/Seminar Information Science | 3 |
Advanced Certificates
The degree can be completed while earning any of the following advanced certificates:
If you intend to complete an advanced certificate, once enrolled in the program, please submit the Certificate Declaration form at your earliest convenience.
Scholarships
Two-Year Renewable Scholarships for New Students
These scholarships are awarded at the time of admissions and are renewable for the second year for students who maintain a GPA of 3.0 or higher. Students must be full-time (minimum of 9 credits per semester).
Fellowships
The School of Information offers a number of fellowships in partnership with NYC cultural institutions. Each fellowship requires the completion of a nine-month internship (120 hours per semester) and is accompanied by a scholarship in the amount of $7,210. For a complete listing of fellowship opportunities, please visit the School of Information website and go to Experiential Learning Opportunities, Fellowships.
Admission Requirements
Applicants must hold a baccalaureate degree from an accredited university. Applicants must have a superior scholastic record or otherwise give evidence of ability to perform work at the graduate level. Applicants 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 and personal goals
- A current résumé/CV
- Request two letters of recommendation online from academic or professional sources
Note: Portfolios are not required
A TOEFL of 82 (internet and home test), TOEFL ITP Plus for China of 553, IELTS or IELTS Indicator of 6.5 or a PTE of 53 is required for international students. Students who are not international but whose first language is not English must submit the GRE, TOEFL, IELTS or PTE. Applicants may apply for nonmatriculated status if desired and take up to 6 credits.
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.
Office
Tel: 212.647.7682
Fax: 212.367.2492
si@pratt.edu
si.pratt.edu
| Semester 1 | Credits | |
|---|---|---|
| INFO-601 | Foundations of Information | 3 |
| INFO-640 | Data Analysis | 3 |
| INFO-658 | Information Visualization | 3 |
| Credits | 9 | |
| Semester 2 | ||
| INFO-644 | Usability Theory & Practice | 3 |
| INFO-664 | Programming For Cultural Heritage | 3 |
| Data Analytics and Visualization Elective | 3 | |
| Credits | 9 | |
| Semester 3 | ||
| Data Analytics and Visualization Elective | 6 | |
| All Institute Elective | 3 | |
| Credits | 9 | |
| Semester 4 | ||
| INFO-696 | Advanced Projects in Visualization | 3 |
| Data Analytics and Visualization Elective | 3 | |
| All Institute Elective | 3 | |
| Required E-Portfolio Submission | 0 | |
| Credits | 9 | |
| Total Credits | 36 | |
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:
- 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 issues of power and data, and ask critical questions around access, interpretation, representation, and impacts on people and the environment.