Maynooth University, Higher Diploma in Data Analytics, 1 Year(s)

Data analytics/science is the science of extracting insight from large amounts of raw data in order to enable better understanding of the processes that created it and so help in analysis, theory exploration and decision making. These techniques can be applied in the natural science, social science and business domains. The Higher Diploma in Data Analytics is a new, purpose designed course which has been carefully designed to address industry needs. The course is a collaboration between the Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation. The modules are designed to give students the knowledge and skills to collect, process, analyse and visualise data in order to extract useful information, explore statistical patterns, test hypotheses, and explore the implications of models.Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning. The course includes material on the social and ethical consequences of the use of data and the implications for business and g... Read more

Data analytics/science is the science of extracting insight from large amounts of raw data in order to enable better understanding of the processes that created it and so help in analysis, theory exploration and decision making. These techniques can be applied in the natural science, social science and business domains. The Higher Diploma in Data Analytics is a new, purpose designed course which has been carefully designed to address industry needs. The course is a collaboration between the Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation. The modules are designed to give students the knowledge and skills to collect, process, analyse and visualise data in order to extract useful information, explore statistical patterns, test hypotheses, and explore the implications of models.Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning. The course includes material on the social and ethical consequences of the use of data and the implications for business and government. Applications from many industry sectors will be explored in our Case studies module. In the Project module, students will put these technical skills in to practice. They will also gain experience in report writing, presentations and teamwork. Our Workplace preparation module will help students transfer these skills to the workplace.CAO/PAC code : MHR66

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