Bachelor's in Data Science

Campus Bachelor Full Time
Delivery
Campus
Study mode
Full Time
Level
Bachelor
Starts
Fall, Spring

Introduction

Data Science is a Bachelor program taught at Marshall University, 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 Marshall University offers students a comprehensive understanding of data analysis, machine learning, and data visualization. This program is designed to equip students with the skills necessary to collect, analyze, and interpret complex data sets. With a curriculum that blends theoretical knowledge with practical application, students will immerse themselves in subjects such as statistics, programming, and database management.

Throughout the course, students will engage in hands-on projects and case studies, fostering a robust learning environment. The program structure typically includes foundational courses in computer science and mathematics, followed by advanced topics that delve into machine learning, data mining, and big data technologies. Additionally, opportunities for internships and collaborative projects with industry partners enrich the educational experience.

Studying Data Science in the dynamic academic environment of Marshall University allows students not only to gain technical expertise but also to develop critical thinking and problem-solving skills. The strong focus on real-world applications prepares graduates to meet the ever-evolving demands of the data-driven workforce.

Admission Requirements

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

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

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

Admission into the Bachelor's program in Data Science generally requires completion of secondary education with a solid foundation in mathematics and science. Students should possess strong analytical and problem-solving skills, along with a keen interest in technology and data.

Prospective students are typically expected to demonstrate proficiency in English, often evidenced through standardized tests such as IELTS or TOEFL. A general guideline is achieving an IELTS score of around 6.5 or a TOEFL score of approximately 80.

Courses Units

Please check detail of study units at https://www.marshall.edu/academics/undergraduate/

More Information

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Statistician
  • Data Engineer

Scholarships

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