Data Science
Introduction
Data Science is a program taught at University of Minnesota - Morris, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.
Course Overview
The Data Science degree at the University of Minnesota - Morris encompasses a comprehensive curriculum that equips students with the necessary skills to analyze complex data sets and derive actionable insights. Students will explore various aspects of data including data mining, statistical analysis, machine learning, and big data technologies. The program emphasizes both theoretical concepts and practical applications, ensuring that graduates are well-prepared for the ever-evolving field of data science.
This degree is structured around core courses that cover programming, data visualization, and predictive modeling, alongside elective courses that allow for specialization in areas such as artificial intelligence and data ethics. Through a blend of lectures, hands-on projects, and collaborative teamwork, students will foster critical thinking and problem-solving abilities.
Studying at the University of Minnesota - Morris provides an excellent opportunity to experience a diverse academic environment and gain insights from industry professionals. The region is known for its strong emphasis on technological advancement and innovation, making it an ideal location for aspiring data scientists.
Admission Requirements
The minimum requirements for admission in Data Science at University of Minnesota - Morris for all applicants (Domestic or International) are:
- program specific academic requirment set by University of Minnesota - Morris.
- English Language OR any other language requirments as set by University of Minnesota - Morris as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
Entry Requirements
To gain admission into the Data Science program, candidates are typically required to have:
- A high school diploma or equivalent
- Strong foundational knowledge in mathematics and statistics
- Prior coursework in computer science or related fields is highly encouraged
English Language Proficiency
International applicants are usually required to demonstrate English proficiency through standardized tests. Common accepted scores include:
- IELTS: Minimum score of 6.5
- TOEFL: Minimum score of 79 (Internet-based)
Courses Units
Please check detail of study units at https://morris.umn.edu/academics/academic-programs
More Information
Career Opportunities
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- Statistical Consultant
- Research Scientist
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.