Data Visualization MS

1 Years On Campus Masters Program

The New School

Program Overview

The Master of Science in Data Visualization at Parsons School of Design, The New School, is a multidisciplinary graduate program that combines visual design, computer science, statistical analysis, and data ethics to prepare students to transform complex information into meaningful visual insights. The program is ideal for students interested in design, technology, and analytical problem-solving, offering opportunities to develop creative, quantitative, and programming skills while learning how data visualization influences communication, public policy, business strategies, and decision-making.

Curriculum Structure

Program Duration: 1 Year (Full-Time)

The program requires 30 credits and can be completed in one year of full-time study or two years of part-time study. The curriculum combines theoretical learning, practical studio projects, quantitative methods, research, and ethical perspectives on data representation.

First Year – Fall Semester: Students begin by developing foundational knowledge of data visualization, information design, and computational methods. Courses such as Data Visualization and Information Aesthetics introduce the principles of visual communication and data representation, while Data Structures develops an understanding of organizing and managing information for computational applications. Students also complete Major Studio 1, a six-credit studio course that encourages experimentation with data-driven design and visualization projects, alongside quantitative methods or an advanced research methods course.

First Year – Spring Semester: Students advance their practical and analytical abilities through Major Studio 2, where they develop more sophisticated data visualization projects and explore creative approaches to presenting complex information. They also complete coursework in ethical and critical perspectives, examining data privacy, data mining, big data ethics, and the influence of data analytics on organizational and consumer decisions. Students further customize their studies through an elective, guided project, or internship, with options including Storytelling with Data, Typography and Visual Design, Dark Data, Designing for Usability, and AI and Machine Learning.

Focus Areas

Data Visualization, Information Design, Visual Communication, Data Analysis, Statistical Analysis, Computer Science, Data Structures, Data Storytelling, Information Aesthetics, Data Ethics, Data Mining, Machine Learning, Artificial Intelligence, Digital Design, Interactive Design, Quantitative Research Methods, User Experience Design, Data Representation.

Learning Outcomes

Graduates develop the ability to collect, analyze, interpret, and visually communicate complex datasets using creative and technical approaches. They gain practical skills in statistical analysis, programming, data structures, information design, and interactive visualization. Students also learn to evaluate the ethical and cultural implications of data collection and representation, develop digital tools for presenting information, and communicate analytical findings effectively to different audiences.

Professional Alignment (Accreditation)

The university's official program information does not specify a separate professional accreditation for the MS in Data Visualization. However, the program is STEM-designated and integrates visual design, computer science, quantitative reasoning, and ethical data practices. Students also benefit from studio-based learning, research opportunities, industry engagement, and internship opportunities that support professional development in data visualization and related fields.

Reputation (Employability Rankings)

Parsons School of Design has an established reputation for creative education, interdisciplinary learning, and industry engagement. The MS in Data Visualization connects students with New York City's technology, design, media, and business industries, providing opportunities to collaborate with professionals and develop practical projects.

According to the university's official program information:

STEM-Designated Program: The MS in Data Visualization is recognized as a STEM-designated degree.
Industry Connections: Graduates have pursued opportunities at organizations including The New York Times, The Wall Street Journal, Apple, Adobe, Netflix, Goldman Sachs, Morgan Stanley, and JPMorgan Chase.
Career Opportunities: Graduates work across journalism, interaction design, UX/UI design, advertising, branding, business consulting, analytics, management, social enterprise, and public policy.

The university does not specify a separate QS or other international employability ranking for this particular program.

Experiential Learning (Research, Projects, Internships etc.)

At The New School, the MS in Data Visualization program is designed to immerse students in hands-on experiences that bridge theory and practice. Students gain practical skills through a curriculum that emphasizes real-world applications, collaborative projects, and access to cutting-edge tools and technologies. The program encourages creativity and innovation, allowing students to explore various aspects of data visualization while working in state-of-the-art facilities.

Here are some key components of the experiential learning opportunities available in the MS Data Visualization program:

- Collaborative Projects: Engage in group projects that simulate real-world scenarios, fostering teamwork and communication skills essential for the industry.
- Internships: Benefit from internship opportunities with leading organizations in the field, providing valuable experience and networking connections.
- Software Proficiency: Gain hands-on experience with industry-standard software such as Tableau, R, Python, and Adobe Creative Suite, equipping you with the technical skills needed for data visualization.
- Digital Tools: Utilize advanced digital tools and platforms for data analysis and visualization, enhancing your ability to present complex information effectively.
- Field Trips: Participate in field trips to local companies and organizations, offering insights into how data visualization is applied in various sectors.
- Research Laboratories: Access dedicated research labs equipped with the latest technology, allowing for experimentation and exploration of innovative visualization techniques.
- Libraries and Resources: Take advantage of extensive library resources and databases that support your research and project work.
- Institutes and Centers: Collaborate with various institutes and centers at The New School that focus on data science, design, and technology, providing interdisciplinary perspectives and expertise.

These experiential learning opportunities are designed to prepare you for a successful career in data visualization, ensuring you graduate with the skills and experience that employers are looking for.

Progression & Future Opportunities

The MS in Data Visualization at The New School equips graduates with the skills to transform complex data into compelling visual narratives, preparing them for a variety of impactful roles in the industry. Graduates often find themselves in positions such as Data Visualization Specialist, User Experience Designer, Data Analyst, or Business Intelligence Analyst. With a strong foundation in both design and data analysis, you’ll be well-prepared to thrive in today’s data-driven world.

Here’s how The New School supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Over 85% of graduates find employment within six months of graduation, with starting salaries averaging around $70,000, depending on the role and location.
- University–Industry Partnerships: The New School collaborates with leading organizations such as IBM and Google, providing students with networking opportunities and real-world projects that enhance learning and employability.
- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that your degree holds value in the job market for years to come.
- Graduation Outcomes: Alumni have gone on to work at top companies like Spotify, The New York Times, and various tech startups, showcasing the program's strong reputation and the high demand for skilled professionals in this field.

Further Academic Progression: After completing your MS in Data Visualization, you may choose to pursue a PhD in a related field, such as Information Design or Human-Computer Interaction, allowing you to delve deeper into research and academia. Alternatively, you could explore certificate programs or additional courses in data science, UX design, or business analytics to further enhance your skill set and career prospects. The New School provides a supportive environment for lifelong learning, ensuring you can continue to grow and adapt in your professional journey.