Data Science
Introduction
Data Science is a Bachelor program taught at University of Washington, 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 Washington-Seattle Campus provides a comprehensive education in the field of data analytics, machine learning, and statistical modeling. Students will engage in an interdisciplinary curriculum that blends mathematics, computer science, and domain-specific knowledge, equipping them with the necessary tools to convert raw data into actionable insights.
Throughout the course, students will learn key subjects including data mining, data visualization, statistical analysis, and programming languages like Python and R. Practical projects and real-world case studies are integral to the curriculum, enabling students to apply theoretical concepts in actual scenarios. This hands-on approach fosters critical thinking and problem-solving skills essential for success in this data-driven economy.
Studying in the United States offers students unique advantages like access to cutting-edge technology and research facilities, collaboration opportunities with industry leaders, and a vibrant tech-driven environment in Seattle, a global hub for innovation. The combination of academic excellence and networking opportunities paves the way for fruitful career prospects in data science.
Admission Requirements
The minimum requirements for admission in Data Science at University of Washington for all applicants (Domestic or International) are:
- program specific academic requirment set by University of Washington.
- English Language OR any other language requirments as set by University of Washington as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
To be admitted to the Bachelor's Degree in Data Science, applicants typically need to possess a high school diploma or an equivalent qualification. A strong foundation in mathematics, particularly in statistics and algebra, is highly encouraged. Additionally, coursework in computer science or programming may be beneficial for prospective students to transition smoothly into the data-centric curriculum.
International students are usually required to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A typical IELTS score of 6.5 or higher, or a TOEFL score of 90 or above, is expected. It is essential for applicants to verify specific scoring requirements as they may vary.
Courses Units
More Information
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Quantitative Analyst
- Statistician
- Big Data Engineer
- Research Scientist in data-centric domains
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.