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The Master of Science in Data Science equips students with comprehensive expertise in Big Data science and analytics, consolidating key knowledge areas including data collection, management, analysis, scalable pattern recognition, and foundational methodologies. This two-year graduate program prepares students with advanced techniques for handling Big Data, introduces emerging theories shaping future data technologies, and requires a capstone project showcasing their ability to apply core principles to develop novel solutions across diverse sectors like business, government, healthcare, life sciences, physical sciences, and environmental studies.
The preferred undergraduate GPA for admittance to the program is 3.00.
A bachelor's degree from an accredited college or university in computer science, math, statistics, engineering, natural sciences, or a related field.
The application deadline for Fall is March 1.
English Language Proficiency Requirements: TOEFL iBT – Total Score: 79; Writing Subscore: 21; Reading Subscore: 19; IELTS Academic – Total Score: 6.5; Writing Subscore: 6.5; Reading Subscore: 6.5; Pearson Test of Academic English (PTE Academic) – Total Score: 59; Writing Subscore: 59; Reading Subscore: 59; Cambridge Assessment English (CAE) C1 Advanced – Total Score: 180; Writing Subscore: 180; Reading Subscore: 180.