New York City boasts the country’s largest number of creative-sector jobs and attracts top design talent. Local industry events and collaborations with commercial and nonprofit partners deepen connections to the field. In the MFA Industrial Design program, students combine advanced making skills with critical inquiry to design for production at all scales, from low volume to high volume, employing methods ranging from desktop manufacturing to systems involving global supply chains. Students develop their knowledge and skills at the university’s state-of-the-art product prototyping and testing facilities.
The MFA Industrial Design curriculum balances competing interests such as economical production and sustainability, consumerism, social and environmental improvement, and global and local production, investigating ways to integrate and reconcile these forces as a whole. In their second semester, MFA students explore limited-run making in New York City, and in the third semester they can investigate large-scale global production through virtual collaborations or study abroad at sites including Parsons Paris. A specialized thesis project offers opportunities to develop designs that advance — or challenge — industrial design theory and practice.
Parsons’ Master of Fine Arts in Industrial Design program offers an innovative two-year, 60-credit full-time graduate curriculum that prepares students to negotiate the seemingly contradictory forces at play in the growing product design industry. Students explore the way goods can be produced in both localized contexts (a “making in place” approach, which relies on regionalized needs and constraints) and globalized contexts (employing design principles focusing on universal needs). Parsons’ School of Constructed Environments includes graduate students in Architecture, Interior Design, and Lighting Design, creating a unique learning community.
This program is part of Parsons' School of Constructed Environments (SCE). Learn about the SCE community and explore our SCE blog to see what students, faculty, and alumni are doing in NYC and around the world.
The faculty of design practitioners aims to develop a community of designers committed to improving industry, protecting the environment, and promoting the quality of life. The MFA Industrial Design program attracts motivated, reflective students with experience in product design but also accepts candidates from other design professions and disciplines such as engineering, fine art, management, and anthropology. An innovation-focused university with programs in the social sciences, business and management, media studies, and the performing arts, The New School offers complementary courses that enrich design practice.
Students graduate equipped with the ability to integrate the many considerations involved in product design and to lead as socially aware makers, strategists, and industry specialists. Graduates emerge prepared to design innovative products and lead the industries that produce them as well. Career paths include industrial design, product development, manufacturing, furniture design, humanitarian and service design, toy design, design management, and architectural building systems.
Learning how to build the intelligence used to power the future of the Web.
The Web has provided us with novel ways to maintain our social networks, rapidly search for information, and make purchases from the comfort of our own home. Most of us take these technologies for granted. However, for the Web to function as it does numerous problems had to be solved: which pages should surface given your search query? Which status updates will you enjoy most? Or, how do we make sure you find the products that you where looking for?
These questions are solved using a combination of machine learning, and an understanding of users. As our use of the Web steadily grows, new questions are continuously emerging. Smarter and faster solutions to empower an intelligent Web are needed. In the Master’s specialisation in Web and Language Interaction you’ll learn the building blocks you’ll need to answer resolve future problems that arise on the Web. In this you’ll learn to understand the psychological, technical and statistical aspect of data science and other Web issues.
The key course in this specialisation is the new AI at the Webscale course, in which AI techniques are studied in the context of streaming and massive data. This course is complemented by the App-Lab course, aimed at understanding how Apps are set-up, built and evaluated. Covering human cognition, a choice of courses in psycho-linguistics is offered in line with the broad expertise within the Donders Institute.
See the website http://www.ru.nl/masters/ai/web
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Data Science. This will take three instead of two years.
- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to debate and develop their projects. Every student also receives personal guidance and supervision from a member of our expert staff.
Language Information and Communication Technology lies at the basis of innumerable innovations in our society and has provided remarkable new services (like social media) and new products (like smart phones and tablets). Traditionally, applications of Artificial Intelligence used to be limited to micro worlds and toy systems. The horizon has now been widely extended to distribute mass applications of AI techniques. These developments are supported by a general availability of computation power and connectivity in the form of the web, social media, big data, wireless, and mobile platforms with input and output in many modalities.
Human-human and human-computer communication can be found in natural language applications like in the speech driven free-text systems such as Watson, and Siri, in brand sentiment detection and epidemic monitoring from tweets. But communication is also crucial for web applications and Apps that personalise information and make it accessible with other means. Examples thereof are voter guides, recommendation systems, click stream analysis, crowd sourcing and demand aggregation, e-therapy, e-inclusion, avatars with speech synthesis and recognition, gesture and emotion. Technical issues are e.g. map/ reduce architecture for massive data processing and emerging technologies like the semantic web.
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Booking.com, Webpower, Google, Facebook, Philips, Booking.com, Philips, Rabobank. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Web and Language Interaction could get:
- PhD researcher, for example, on enhancing speech recognition using semantic knowledge or in user interaction design for patient doctor communication in a virtual hospital
- Data Scientist in a web start-up
- Developer for Computer Aided Language Learning
- EU R&D programme leader on machine translation of natural language
- Developer of intelligent software for music studios
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Finland and the United States.
See the website http://www.ru.nl/masters/ai/web