Managing and analysing Big Data has become an essential part of modern finance, retail, marketing, social science, research and development, medicine, industry, academia, and government. The curriculum is therefore designed to provide you with a solid grounding in the theory as well as the methods and techniques used in data science. From the onset, the industry stakeholders insisted on exposure to the basic 'core' theory in data science including discrete and continuous mathematical concepts, statistics, probability, and the theoretical foundations of machine learning and data analytics. This will ensure that, upon completion of the 60 ECTS taught component, you will have a solid background in the theory that is considered a pre-requisite for data science practitioners.
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Semester 1 | |||||||||||
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Compulsory Units (All students must register for this/these unit/s) | |||||||||||
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CIS5223 | Concepts, Techniques and Practical Aspects of Scientific Research | 5 ECTS   |   |   | |||||||
ICS5110 | Applied Machine Learning | 5 ECTS   |   |   | |||||||
SOR1510* | Foundations in Probability, Sampling and Estimation | 5 ECTS   |   |   | |||||||
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Semester 2 | |||||||||||
ARI1204* | AI Numerical Methods 2 | 5 ECTS   |   |   | |||||||
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Compulsory Units (All students must register for this/these unit/s) | |||||||||||
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ARI5102 | Data Analysis Techniques | 5 ECTS   |   |   | |||||||
SCI5020* | Principles of Statistical Inference | 5 ECTS   |   |   | |||||||
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Semester 1 | |||||||||||
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Compulsory Units (All students must register for this/these unit/s) | |||||||||||
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CCE5502 | Fundamentals of AI and ML | 5 ECTS   |   |   | |||||||
CIS5113 | Large Scale Databases | 5 ECTS   |   |   | |||||||
ICS5111 | Mining Large-Scale Data | 5 ECTS   |   |   | |||||||
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Semester 2 | |||||||||||
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Compulsory Units (All students must register for this/these unit/s) | |||||||||||
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CCE5106 | Deep Learning Neural Networks | 5 ECTS   |   |   | |||||||
CIS5230 | Data Analytics on the Cloud | 5 ECTS   |   |   | |||||||
CIS5232 | Topics in Applied Data Science | 5 ECTS   |   |   | |||||||
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Year   (This/these unit/s start/s in Semester 1 and continue/s in Semester 2) | |||||||||||
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Compulsory Units (All students must register for this/these unit/s) | |||||||||||
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ICT5012 | Dissertation | 30 ECTS   |   |   | |||||||
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This programme of study is governed by the General Regulations for University Postgraduate Awards, 2021 and by the Bye-Laws for the award of the Degree of Master of Science in Data Science - M.Sc. - under the auspices of the Faculty of 福利在线免费 and Communication Technology.