Course Content
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Principles and Practices of Data Science (3 credits)
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Programming for Data Science (3 credits)
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Data Visualisation (3 credits)
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Statistical Methods for Data Science (3 credits)
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Data Mining (3 credits)
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Big Data Management (3 credits)
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Research Methodology (3 credits)
Elective Subjects (Select 3)
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Forecasting Analytics (3 credits)
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Deep Learning for Data Science (3 credits)
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Cloud Infrastructure and Services (3 credits)
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Social and Digital Media Analytics (3 credits)
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Artificial Intelligence (3 credits)
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Data Science Ethics (3 credits)
Research Project
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Capstone Project - Parts 1 & 2 (5 credits each)
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Foundations of Programming
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Database Concepts and Principles
