Program Overview

Program Overview

The Master of Science in Data Science is designed to provide students with a thorough understanding of the fundamentals and applications of data science. The program covers topics such as data mining, machine learning, statistical modeling, and data visualization.

Admission Requirements

To be considered for admission, applicants must have a bachelor's degree in a relevant field, such as computer science, mathematics, or statistics. They must also have a strong academic record, with a minimum GPA of 3.0.

Program Requirements

The program requires 30 credits of coursework, including:

• 18 credits of core courses, which cover topics such as:
  • Data mining
  • Machine learning
  • Statistical modeling
• 12 credits of electives, which allow students to specialize in a particular area of data science, such as:
  • Data visualization
  • Big data analytics

Career Outcomes

Graduates of the Master of Science in Data Science program can pursue a variety of career paths, including:

• Data scientist
• Data analyst
• Business intelligence analyst
• Data engineer
• Data architect The program is designed to provide students with the skills and knowledge needed to succeed in these careers, as well as the ability to adapt to new technologies and advancements in the field.