Master of science degree

Master of Science in Data Science and Business Analytics

Green Energy, Smart Cities or Automation & Robotics

... where will your degree take you?

The Master of Science in Data Science and Analytics is an advanced academic endeavor designed to equip students with the knowledge, skills, and tools required to excel in the rapidly evolving field of data science. This intensive program combines a rigorous curriculum with hands-on experience, enabling students to become proficient in various aspects of data analysis, machine learning, statistical modeling, and data visualization.

Throughout the program, students learn to harness the power of big data to solve complex real-world problems, make data-driven decisions, and extract valuable insights from large datasets. The curriculum often covers topics such as data preprocessing, data mining, predictive modeling, and ethical considerations in data science. Graduates of this program are well-prepared for careers in data-driven industries, ranging from finance and healthcare to marketing and technology, as they possess the expertise needed to turn raw data into actionable intelligence and drive innovation in their respective fields. Additionally, students may have the opportunity to work on research projects or internships, gaining practical experience that enhances their job prospects in the competitive data science job market. Overall, a Master of Science program in Data Science and Analytics provides a comprehensive and in-depth education in this dynamic field, positioning graduates for success in a data-driven world.

What can I do with my major?

Career Opportunities

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

Degree Requirements


Students in the Master of Science in Data Science and Business Analytics must complete a minimum of 27 credits. All coursework must be completed in accordance with the academic rules of AIU and those of the department.


Core Requirements: 21 credits

Major Requirements: 6 credits

Total Credits: 27


Required Program Courses

  • CSC 505 - Machine Learning and Artificial Intelligence
  • CSC 507 - Database Systems and Big Data
  • CSC 530 - Statistical Data Analysis
  • CSC 535 - Data Visualization and Communication
  • CSC 537 - Advanced Data Mining and Text Analytics
  • CSC 540 - Ethical and Legal Aspects of Data Science
  • CSC 590 – Capstone Project in Data Science
  • Two elective courses (6 credits)

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Academic Year 2023 - 2024

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