Northern Michigan University

Overview

The Bachelor's in Data Science at Northern Michigan University offers a comprehensive education designed to equip students with the skills necessary to thrive in the evolving field of data analytics. This program emphasizes a blend of theoretical knowledge and practical application, preparing graduates to tackle real-world challenges using data-driven insights.

What you'll study

Throughout the course, students will explore a variety of subjects that form the backbone of data science, including:

• Statistics and Probability: Gain a solid understanding of statistical methods and their applications in data analysis.
• Data Management: Learn about database systems, data warehousing, and data mining techniques.
• Machine Learning: Explore algorithms and models that enable computers to learn from data and make predictions.
• Data Visualization: Develop skills to effectively present data findings through various visualization tools and techniques.
• Programming: Acquire proficiency in programming languages commonly used in data science, such as Python and R.
• Ethics in Data Science: Understand the ethical implications of data collection and analysis in various contexts.

Entry requirements

To be considered for admission into the Bachelor's in Data Science program, applicants typically need to meet the following criteria:

• A high school diploma or equivalent.
• Strong foundational knowledge in mathematics, particularly in algebra and calculus.
• Basic computer literacy and familiarity with programming concepts are advantageous.
• Submission of application materials as specified by the university.

Career prospects

Graduating with a Bachelor's in Data Science opens up a wealth of career opportunities across various industries. Potential job roles include:

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

With the growing demand for data professionals, graduates can expect promising career paths and the potential for advancement in a dynamic job market.