Program Objectives
Data Visualization and Interpretation – Theory and practical knowledge about how to design, read, and understand visual representations of data. Hands-on knowledge about state-of the-art tools, e.g., Tableau, Python, and web-based libraries like D3.js.
Spatio-Temporal Urban Analytics - Essential concepts and skills needed to efficiently develop spatiotemporal thinking. Big data analysis and visualization techniques applied to spatio-temporal urban data. Knowledge about the R programming environment.
Elements of Visual Design- theories of design, techniques of composition, and technologies of electronic and print publishing. Modules include both design principles and hands-on practice in visual literacy, layout and design, and graphic tools.
Advanced Information Design - Design and creation of multimedia objects, usability heuristics, navigation theory, contemporary design practices and online community building
Visual Informatics for Network and Flow - Knowledge of open source tools to visualize and interpret network and flow data. Collect network and flow data and create their own visual applications.
Customer Discovery – User-centered design evaluation techniques for understanding potential user's practice, preferences and mental models. Knowledge of a basic set of qualitative user/customer discovery methods which is essential for both the lean startup entrepreneur and those engaged in design innovation.
User Experience Design – Process of creating compelling interaction designs for digital products from the idea stage into creating a simple and intuitive user experience blueprint. You will 'learn by doing' in a team environment, enabling you to practice the techniques with coaching from instructors.
Web Systems Development - Learn web development principles, as well as professionally relevant skills including industry standards, conventions, and procedures within large-scale programming projects.
Data Analytics for Information Systems - Learn and conduct Python, MATLAB and R based manipulation of data, along with graduate level introduction to data analysis, probability and statistics from an information systems perspective.
*O preço é estimado e tem caráter informativo, por favor, verifique esta informação com a instituição.
Esperado Setembro 2024
Ying Wu College of Computing
Guttenberg Information Technologies Center (GITC), Suite 5700,
University Heights,
NEWARK,
New Jersey,
07102, United States
To be considered for a Graduate Certificate program at NJIT, you must have completed a Bachelor's degree, or its equivalent elsewhere, and demonstrate high academic achievement in an appropriate discipline.
The Test of English as a Foreign Language (TOEFL), Duolingo or the International English Language Testing System (IELTS) may be asked of international applicants not holding a degree from a United States post-secondary institution. The minimum score required is 79 for the Internet-based TOEFL exam, 213 for the computer-based TOEFL exam, or 550 for the paper-based TOEFL exam. A minimum score of 6.5 with no sub-score lower than 6.0 is required for the IELTS exam or 120 on the Duolingo exam.
Os requisitos para o IELTS podem variar de acordo com o curso que você escolher.
Como líder do setor, o Instituto de Tecnologia de Nova Jersey (NJIT) prepara os alunos para carreiras no mercado tecnológico em constante mudança.