Data Science
Introduction
Data Science is a Bachelor program taught at University of the Pacific, 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 University of the Pacific is designed to equip students with the knowledge and skills necessary to analyze data and make informed decisions. The curriculum covers a wide range of topics, including data analysis, machine learning, statistical methods, and big data technologies. Students will learn to harness data to solve complex problems across various industries.
This program emphasizes both theoretical foundations and practical applications. Students will engage in hands-on projects and real-world case studies, allowing them to gain experience in data collection, processing, and visualization. The structured approach of the program ensures that students build a strong skill set in programming languages such as Python and R, as well as database management systems.
Studying Data Science in the university's diverse environment provides students with unique perspectives and opportunities for networking. International students will benefit from exposure to various cultural approaches to data interpretation and analytics, fostering a global mindset that is essential in today's interconnected world.
Admission Requirements
The minimum requirements for admission in Data Science at University of the Pacific for all applicants (Domestic or International) are:
- program specific academic requirment set by University of the Pacific.
- English Language OR any other language requirments as set by University of the Pacific as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
Applicants typically need to have completed secondary education with a strong emphasis on mathematics and sciences. Expectations may include specific coursework in mathematics, statistics, and computer science. Additional admission criteria may involve standardized test scores and a statement of purpose.
Students must demonstrate proficiency in English, usually through standardized tests such as IELTS or TOEFL. A typical requirement may be an IELTS score of around 6.5 or a TOEFL score of approximately 80, reflecting sufficient competency to handle academic coursework.
Courses Units
Please check detail of study units at https://www.pacific.edu/academics/undergraduate-programs
More Information
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Quantitative Analyst
- Data Engineer
- Research Scientist
- Statistical Consultant
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.