Educads
Master's Degree Computer Science & IT Full Time

Data Analysis and Visualization

at CUNY Graduate School and University Center Β· New York, United States

Duration

1–2 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

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.

Entry requirements

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.

English:

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.

International students:

International students must apply for a student visa to study in the United States. Required documents generally include a valid passport, proof of financial support, acceptance letter from the university, and proof of health insurance. Students are advised to review the official visa requirements to ensure compliance with the latest regulations.

Career outcomes

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

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