Bachelor's in Data Science
Introduction
Data Science is a Bachelor program taught at St. Bonaventure 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 St. Bonaventure University provides students with a comprehensive education in the principles and practices of data analysis, machine learning, and statistical methods. This program emphasizes a hands-on approach to learning, integrating theoretical knowledge with real-world applications through projects and internships. Students will not only learn how to manipulate and analyze data but also how to communicate their findings effectively to various stakeholders.
The typical structure of the course includes core topics such as data visualization, predictive modeling, data mining, and big data technologies. In addition, students will have the opportunity to specialize in areas such as artificial intelligence, natural language processing, and database management. By engaging with these subjects, students will develop critical thinking, problem-solving abilities, and a strong technical foundation in programming languages and analytical tools.
Studying Data Science in the university's country provides an enriching multicultural environment, a strong network of tech industries, and access to cutting-edge technology. This location is known for its innovation and diverse job market, making it an ideal setting for aspiring data scientists to thrive and connect with peers and industry leaders.
Admission Requirements
The minimum requirements for admission in Data Science at St. Bonaventure University for all applicants (Domestic or International) are:
- program specific academic requirment set by St. Bonaventure University.
- English Language OR any other language requirments as set by St. Bonaventure University as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
Typically, candidates are expected to have completed secondary education with strong performance in mathematics, computer science, and related subjects. A passion for analytical thinking and problem-solving is advantageous. An IELTS score of 6.5 or a TOEFL score of 79 is generally required, demonstrating proficiency in English at the university level.Courses Units
Please check detail of study units at https://www.sbu.edu/academics/majors-and-minors
More Information
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Statistical Analyst
- Quantitative Analyst
- Database Developer
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.