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The Master of Science in Applied Data Science is designed to cultivate skilled data scientists who can address the increasing need for specialized expertise in this domain. Data Science has emerged as a vital scientific discipline with diverse applications across sectors like agricultural technology, financial technology, healthcare technology, education technology, and transportation. It encompasses comprehensive approaches to managing large datasets—from collection and storage to processing, analysis, and visualization. Techniques may involve data mining, machine learning, advanced analytics, data visualization, and in-database analytics.
Building on the Department's research strengths, a distinctive aspect of this MSc program is its integration of leadership competencies in IT, technological innovation, entrepreneurship, ethics, and research. These capabilities will be honed through expert-led workshops featuring both academic and industry professionals.
This specialized master's program is tailored for graduates with computing-related bachelor's degrees in fields such as computer science, computer engineering, or software engineering. The curriculum includes 3 foundational core modules, 3 specialized core modules, a leadership and innovation component, a work placement module, and an individual research project. The program maintains an equilibrium between theoretical knowledge and practical application, with a strong focus on technical proficiency, innovation, and real-world implementation.
Available start dates
January 2025
Attendance
Full-time
Duration
1 Year