CUNY City College of NY · USA

Data Science and Engineering

Campus Full Time

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Delivery

Campus

Study mode

Full Time

Starts

Fall, Spring

Introduction

Data Science and Engineering is a program taught at CUNY City College of NY, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

The Data Science and Engineering degree at CUNY City College is designed to provide students with a solid foundation in both the theoretical and practical aspects of data science. The curriculum covers a wide range of topics, including data mining, machine learning, statistical analysis, and data visualization. Students will engage in hands-on projects that enable them to apply their knowledge to real-world problems, making use of programming languages such as Python and R, as well as various data analysis tools.

This program is structured around core courses that introduce the principles of data science, followed by elective courses that allow students to specialize in areas such as artificial intelligence, big data technologies, and predictive analytics. The capstone project serves to synthesize learning and demonstrates the ability to work on complex data-driven projects, fostering skills in critical thinking and problem-solving.

Studying data science in the university's country offers unique advantages, including access to a vibrant tech ecosystem, industry partnerships, and employment opportunities with leading companies. The diverse culture encourages innovative thinking and collaboration, essential for success in the evolving field of data science.

Admission Requirements

The minimum requirements for admission in Data Science and Engineering at CUNY City College of NY for all applicants (Domestic or International) are:

program specific academic requirment set by CUNY City College of NY.
English Language OR any other language requirments as set by CUNY City College of NY as pre-requiste for admission in Data Science and Engineering.

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

Applicants typically need a high school diploma or equivalent and should have a strong background in mathematics and computer science. Course prerequisites may include knowledge of calculus, statistics, and programming. It is advisable for candidates to demonstrate relevant experience or a keen interest in data science through projects or coursework.

International students must meet the university's English language requirements, often demonstrated through standardized tests such as IELTS or TOEFL. A recommended IELTS score is usually around 6.5, while TOEFL scores may need to be above 80, reflecting the necessity for strong communication skills in an academic environment.