University of Rochester · USA

Data Science

Campus Full Time

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Delivery

Campus

Study mode

Full Time

Starts

Fall, Spring

Introduction

Data Science is a program taught at University of Rochester, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

The Data Science degree program at the University of Rochester prepares students to analyze and interpret complex data sets. This interdisciplinary course combines elements of computer science, statistics, and domain-specific knowledge to equip students with the necessary tools to derive actionable insights from large volumes of data. Students will learn to apply data analysis techniques, programming, and machine learning to solve real-world problems.

Typical course structure includes foundational courses in programming, statistical techniques, and data visualization, followed by advanced studies in machine learning, big data analytics, and specialized topics relevant to various sectors. Each module is designed to provide practical, hands-on experience while also enhancing theoretical understanding.

Throughout the program, students will develop critical skills in problem-solving, analytical thinking, and effective communication of data-driven findings. By studying in the United States, students will benefit from exposure to a vibrant tech ecosystem and networking opportunities with industry leaders, enhancing their learning and career prospects.

Admission Requirements

The minimum requirements for admission in Data Science at University of Rochester for all applicants (Domestic or International) are:

program specific academic requirment set by University of Rochester.
English Language OR any other language requirments as set by University of Rochester as pre-requiste for admission in Data Science.

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

Prospective students are expected to have a strong foundation in mathematics and computational skills. Typically, this includes a high school diploma or equivalent with coursework in algebra, statistics, and programming. Additional qualifications such as Advanced Placement (AP) courses or other relevant certifications may be beneficial.

Students are usually required to demonstrate proficiency in English through standardized testing such as IELTS or TOEFL. A minimum score of 6.5 for IELTS or 79 for TOEFL is commonly expected, but higher scores may enhance admission prospects.