数据分析理学硕士

该计算机课程旨在产生高质量
The overall goal of the MSc in Data Analytics programme is to provide graduates with essential research and development skills in Data Analytics. It is envisaged that graduates from this programme will be well equipped to perform independent research that enables them to make informed and critical decisions regarding requirements elicitation and analysis, implementation, evaluation, and documentation in Data Analytics.Furthermore, the programme seeks to produce graduates who are able to provide insight, gain value and discover knowledge (at an organisational, societal, or personal level) from data through exercising the skills that are developed through the programmes.The course structure accommodates a wide audience of learners whose specific interests in data analytics may be either technically focused or business focused.The course will be delivered using academic research, industry defined practical problems, and case studies. This approach will naturally foster a deeper knowledge of the subject area and create transferable skills for work such as critical thinking, problem solving, creative thinking, communication, teamwork, and research skills. The course is completely delivered by faculty and industry practitioners with proven expertise in data analytics.Upon completion of this course, graduates will be able to:Conduct substantial and extensive independent research and analysis in the field of Data Analytics.Formulate and implement a novel research idea using the latest industry practices.Demonstrate expert knowledge and a critical understanding of data analysis, statistics, and the tools, techniques and technologies of Data Analytics utilised in both technical and business contexts.Critically assess, evaluate and communicate business & technical strategies for Data Analytics.Formulate, design, assess, and implement effective business & technical solutions for Data Analytics.Critically assess and evaluate security, privacy, sustainability, and ethical issues associated with the storage, transfer, and processing of data for analytical purposes.