

MS Data Visualization at Parsons School of Design Overview
A well-designed MS Data Visualization is provided by the Parsons School of Design for a duration of 1 year. Scores for IELTS, TOEFL, PTE and Duolingo are some of the tests accepted by the Parsons School of Design which is a part of the student eligibility criteria. The first year tuition fee for the MS Data Visualization is USD 58,350.
Duration | 1 year |
Tuition & Fees | ₹51.77 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Entry Requirements
- Highlights
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MS Data Visualization at Parsons School of Design Fees
The first year's tuition for international students planning to study MS Data Visualization at Parsons School of Design is USD 58,350. In addition, they need to budget for other living expenses, including housing, food, transportation, books, supplies, and other smaller bills. Students must pay tuition and living expenses when they enrol in MS Data Visualization.
Refer to the table below to view the fee breakdown for Parsons School of Design MS Data Visualization.
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 51,77,396 |
Fees components | Amount (for 1 year) |
---|---|
Insurance | INR 3,97,688 |
Application fee | INR 6,655 |
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MS Data Visualization at Parsons School of Design Entry Requirements
- No specific cutoff mentioned
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- Applicants must have a relevant bachelors degree with good grades
- Applicants are expected to demonstrate professional and/or academic strength in one or possibly two of the following areas, but applicants should not feel compelled to try and demonstrate strength in all three areas.
- Design, statistics and research, computer science and technology, and related fields
- Marks - 92/120
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- Marks - 63/90
- NA
- Marks - 7/9
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- Marks - 115/160
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- Students will be contacted if they are required to participate in an in-person or phone interview, as may be determined upon review of your application
- Answer the following questions in a video introduction (maximum two minutes) uploaded to the portfolio section of the application: Why are you applying to the data visualization program? What do you hope to achieve using the skills, capabilities, and methodologies you will master during your time here?
- In addition to the introduction video, applicants are asked to submit one or more of the following items: a portfolio, a programming sample, and/or a writing sample.
Submit at least one or more of the following items.
Digital Portfolio: You can submit a visual portfolio of up to 20 visual items to support your application. Submission of a visual portfolio is optional, and the items should reflect your motivation for study in the program. Sample visuals may include digital work that best demonstrates your skills from previous educational and/or professional experience; sketches and conceptual work can also be included. If you do not have prior training, you can demonstrate your aptitude by submitting examples of freehand drawing, photography, painting, sculpture, graphic design, three-dimensional work, product design, digital media, or other materials. Time-based works such as film, video, performance, installation, and sound are also accepted. Applicants may submit this item as a URL.
Programming Sample: You can submit your GitHub account name and up to three URLs for public GitHub repositories that you maintain to showcase your programming abilities. Please submit a document that contains your GitHub information (or any alternative repository or revision control system) to be uploaded within the Digital Portfolio tab of your online application.
Academic Writing Sample: The writing sample can be an academic paper, professional report, blog entry, nonfiction essay, or combination of writing samples that you feel reflect your strengths for the program. Please submit a single document no longer than 20 pages in length. Please note that this must be uploaded within your online application.
MS Data Visualization at Parsons School of Design Highlights
- The master’s in Data Visualization at Parsons is a multidisciplinary degree that brings together visual design, computer science, statistical analysis, and ethical considerations of data representation
- The curriculum integrates theory and studio practice and provides students with a competitive edge as they enter the field of data visualization
- Students learn to understand and develop the ways in which the presentation of data shapes opinion, policy, and decision making in today’s information economy
- The Master of Science degree is awarded for completion of 30 credits
MS Data Visualization at Parsons School of Design Scholarships
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