United States Naval Academy · USA

Bachelor's in Data Science

Campus Bachelor Full Time

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Delivery

Campus

Study mode

Full Time

Level

Bachelor

Starts

Fall, Spring

Introduction

Data Science is a Bachelor program taught at United States Naval Academy, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.

The Bachelor’s Degree in Data Science at the United States Naval Academy prepares students for an engaging and rapidly evolving field that combines computer science, statistics, and domain expertise to extract meaningful information from large datasets. This program focuses on the fundamentals of data collection, analysis, and interpretation, providing students with a robust framework to solve real-world problems using data-driven methodologies.

The curriculum typically includes courses in programming, statistical methods, machine learning, data visualization, and database management. Students engage in hands-on projects and collaborative research, equipping them with practical skills that are vital in today's data-centric environment. The United States Naval Academy emphasizes a strong foundation in analytical thinking and quantitative reasoning, fostering a mindset that empowers students to tackle complex data challenges.

By studying Data Science in the United States, international students gain exposure to cutting-edge technologies and diverse cultural perspectives. The vibrant academic community and strong connections with industry leaders provide numerous networking opportunities, internships, and career development initiatives that enhance the educational experience.

Admission Requirements

The minimum requirements for admission in Data Science at United States Naval Academy for all applicants (Domestic or International) are:

program specific academic requirment set by United States Naval Academy.
English Language OR any other language requirments as set by United States Naval Academy as pre-requiste for admission in Data Science.

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

Prospective students typically need to have completed secondary education with a strong foundation in mathematics and science. A background in computer science or statistics is beneficial but not mandatory. Admissions committees look for critical thinking skills, problem-solving abilities, and a passion for data.

International students are usually required to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A typical requirement is an IELTS score of 6.5 or a TOEFL score of 79. It is advisable to check the specific requirements for the program.