Certificate in Data Visualization

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Certificate in Data Visualization (12 Credits)

This certificate program will enable data analysts and business intelligence professionals to master the principles of visualization techniques for communicating insights from complex real-world data. These techniques will cover the gamut of the data science pipeline: transforming different types of data (e.g., spatial, temporal, abstract); conceptualizing diverse comparison, analysis, and communication tasks; learning perceptual and cognitive principles of data visualization; and implementing high-dimensional data visualization design strategies.

The curriculum focuses on both the theory and technologies behind visualizing complex data, designing interactive visual interfaces and optimizing the visual displays for focusing human attention on salient patterns in the data. Participants will learn how to transform large, complex data sets to interpretable visualizations, and how to best reflect the analytical tasks for facilitating experts’ decision-making. The program consists of 4 courses of 3 credits each, taught over 2 semesters of 15 weeks each. Instruction includes formal lectures as well as hands-on projects involving visualization design and development.

In this program, we make extensive use of software tools like Tableau, and tools and libraries based on Python, R, and JavaScript. Students work on assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

Recommended part-time credit schedule: Two courses per semester (6 credits) over two semesters, available in fall, spring, and summer.

Required Courses

IS 650	Data Visualization and Interpretation
IS 657	Spatio-Temporal Urban Analytics

IS 661	User Experience Design
IS 665	Data Analytics for Information Systems
IS 601	Web Systems Development
CS 634	Data Mining
Math 661	Applied Statistics

Acquire design skills for ideating, conceptualizing, and developing visualization solutions.
Develop visualizations for supporting data science projects end-to-end, including task and requirements elicitation, identifying business stakeholders and their interactions with the visualization and optimizing the resulting visual interfaces for reflecting their goals and desired actions.
Learn to visually communicate and engage the audience to build trust in the data and resulting insights.

Jersey City Cohort Students (non-F1 visa): Tuition, University Fee, and GSA Fee per consecutive semester, regardless of residency and visa status, assuming two Jersey City courses (6 credits) at 2023-2024 rates:

Summer 2024: $6,103
Fall 2024: $7,086
Spring 2024: $7,086

Certificates: Total Tuition, University Fee, and GSA Fee Costs, assuming two Jersey City courses (6 credits) per consecutive semester at 2023-2024 rates:

Fall Start: $14,172
Spring Start: $13,189
Summer Start: $13,189

Credit Transfer to M.S. in Data Science

Credits earned in the certificate program may be applied to a M.S. in Data Science

Ying Wu College of Computing
Quinn Hardrick
Student Outreach Manager
973-642-7037
quinn.hardrick@njit.edu

University Admissions
Yaslie Pared
Enrollment Services Manager
973-596-6292
yaslie.pared@njit.edu

NJIT@JerseyCity Location
Julio Oyola
Associate Director of Operations for NJIT@JerseyCity
973-596-6323
julio.oyola@njit.edu