Statistics and Data Science

The Bachelor's Degree in Statistics and Data Science at the University of Minnesota - Morris provides students with a solid foundation in statistical theory and practical data analysis techniques. The curriculum combines rigorous mathematical and statistical principles with hands-on experience in data management, statistical computing, and predictive modeling. Students are introduced to various programming languages and software tools essential for data analysis, including R and Python, enabling them to handle real-world data challenges efficiently.

This program emphasizes a project-based learning approach, allowing students to apply their knowledge in real-world contexts, enhancing their analytical skills and problem-solving abilities. The course structure typically includes core courses in statistical methods, probability theory, and data visualization, alongside elective modules that cater to specific interests such as machine learning or biostatistics. Students will also engage in group projects and internships that further develop their practical skills.

Studying Statistics and Data Science in the vibrant academic environment of Minnesota offers unique opportunities to work with diverse datasets and collaborate with industry professionals. The university’s commitment to research and community engagement enhances the learning experience, providing students with insights into solving complex data-driven problems faced by various industries.

To be eligible for the Bachelor's Degree in Statistics and Data Science, applicants typically need to have completed secondary education with a strong emphasis on mathematics and sciences. A solid background in algebra and calculus is particularly important. Additionally, applicants are encouraged to demonstrate proficiency in problem-solving and analytical thinking through prior coursework or related experiences.

International applicants are generally expected to provide proof of English proficiency. Typically, an IELTS score of approximately 6.5 or a TOEFL score of around 79 is required. Students are urged to check specific requirements as they may vary depending on the program.

International students must obtain a student visa to study in the destination country. Required documents often include a valid passport, evidence of financial support, an admission letter from the university, and proof of English proficiency. It's advisable to check the official requirements for documentation and visa application processes.

• Data Analyst
• Statistician
• Machine Learning Engineer
• Business Intelligence Analyst
• Quantitative Analyst
• Research Scientist
• Data Scientist