Develop the analytical and technical skills needed to handle complex data environments with the online Master of Science in Data Science from Hawai‘i Pacific University. Designed for working professionals, the program equips students to analyze large datasets, generate data-driven insights, and support responsible decision-making within organizations.
- No GMAT or GRE required
- Complete in 12 to 24 months
- Flexible online learning format
- Project-based capstone experience
About this program
The online Master of Science in Data Science prepares professionals to meet the increasing demand for data expertise across various industries. The program builds practical skills in data analysis, statistical modeling, and data-driven problem-solving. Students develop a solid understanding of data science principles while learning to interpret complex datasets and support strategic decision-making within organizations and communities.
Curriculum overview
The curriculum comprises 30 credits, including core modules, elective courses, and a capstone project. Coursework emphasizes developing fundamental and advanced knowledge in data science, analytics, and information systems. Students learn to apply analytical techniques, interpret large datasets, and evaluate emerging technologies shaping modern data environments. The program concludes with a project-based capstone, where students utilize data science concepts and tools to tackle real-world analytical challenges.
Online learning experience
The program is delivered via a flexible online platform designed to support working professionals. Students complete interactive assignments, collaborate with peers, and receive guidance from faculty experienced in data science and information technology. Dedicated student success advisors and career services offer support throughout the program.
Admissions and career outlook
Applicants must hold a bachelor’s degree from an accredited institution. GRE and GMAT scores are not required. Graduates pursue careers in data science, analytics, and information systems across industries such as technology, finance, healthcare, government, and business intelligence. Roles may include data analyst, data scientist, systems analyst, and business intelligence specialist.
