Bachelor's in Data Science
Introduction
Data Science is a Bachelor program taught at Emporia State 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 Emporia State University is designed to equip students with the essential skills and knowledge to thrive in the ever-evolving field of data analytics. Throughout the program, students will explore a range of subjects including statistics, programming, data mining, and machine learning. The curriculum is structured to balance theoretical foundations with practical applications, enabling students to analyze real-world data sets and derive meaningful insights.
Students will engage in hands-on learning experiences, utilizing industry-standard tools and technologies that enhance their analytical capabilities. Additionally, the course emphasizes critical thinking, problem-solving, and effective communication skills, which are crucial in the data-driven landscape of organizations across various sectors.
Studying Data Science in a country renowned for its technological advancements and innovative research institutions provides a unique opportunity for international students. Access to a diverse network of professionals and potential employers greatly enriches the educational experience, while the multicultural environment fosters collaboration and a global perspective on data issues.
Admission Requirements
The minimum requirements for admission in Data Science at Emporia State University for all applicants (Domestic or International) are:
- program specific academic requirment set by Emporia State University.
- English Language OR any other language requirments as set by Emporia State University as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
To be eligible for the Bachelor's Degree in Data Science, applicants typically need to have completed secondary education with a strong foundation in mathematics and science subjects. A demonstrated interest in technology and data is beneficial, along with a solid GPA or equivalent academic performance. Some programs may also request letters of recommendation or a personal statement to understand the applicant's motivations and aspirations.
Applicants are generally expected to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A minimum score, typically around 6.5 for IELTS or 79 for TOEFL, is often required for admission. However, specific requirements may vary, and it is important for students to check the university's guidelines for exact levels needed for this program.
Courses Units
Please check detail of study units at https://www.emporia.edu/academics-majors/undergraduate-majors-programs/
More Information
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Quantitative Analyst
- Statistician
- Data Engineer
- Research Scientist
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.