Master's in Data Analysis and Visualization

Data Analysis and Visualization is a Masters program taught at CUNY Graduate School and University Center, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master's Degree in Data Analysis and Visualization at CUNY Graduate School and University Center offers a comprehensive curriculum designed for students interested in mastering the skills required to analyze and visualize complex data sets. This program encompasses both theoretical frameworks and practical applications, preparing graduates for impactful careers in various sectors. Courses cover essential topics such as statistical analysis, data mining, machine learning, and interactive data visualization techniques.

Structured over several semesters, the program promotes a hands-on learning approach, utilizing state-of-the-art tools and technologies that are prevalent in today's data-driven industries. Students engage in collaborative projects, workshops, and real-world case studies that enhance their analytical thinking and problem-solving capabilities. The program also emphasizes the importance of storytelling with data, enabling students to effectively communicate insights derived from their analyses.

By studying in the United States, students gain access to a diverse and innovative environment where they can leverage cutting-edge research opportunities. As a hub for technology and business, the destination country allows students to connect with industry professionals and participate in internships that provide valuable experience and networking opportunities.

The minimum requirements for admission in Data Analysis and Visualization at CUNY Graduate School and University Center for all applicants (Domestic or International) are:

• program specific academic requirment set by CUNY Graduate School and University Center.
• English Language OR any other language requirments as set by CUNY Graduate School and University Center as pre-requiste for admission in Data Analysis and Visualization.

Note: Please check the university website in the link below.

Applicants are generally expected to possess a bachelor's degree from an accredited institution, preferably in a related field such as computer science, mathematics, statistics, or social sciences. Additionally, candidates should demonstrate a foundational understanding of quantitative methods and analytical techniques. Relevant work experience or research in data-related fields may also enhance an application.

Prospective students typically need to demonstrate proficiency in English through standardized testing, with an IELTS score of around 6.5 or a TOEFL score of approximately 80. These requirements may vary, so applicants should verify specific score requirements directly with the university.

Please check detail of study units at https://www.gc.cuny.edu/academics/programs

• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Data Visualization Specialist
• Quantitative Researcher
• Operations Research Analyst
• Market Research Analyst
• Consultant in Data Strategies

80 fully funded scholarships are listed for USA. See USA scholarships.