Postgraduate Diploma in Science in Data Analytics

Program Overview

This Postgraduate Diploma in Science in Data Analytics equips graduates with technical proficiency and innovative skills in data analysis, statistics, and data analytics tools. The program offers a blend of technical and business-oriented modules, addressing the growing demand for data analytics professionals. Graduates have successfully secured positions in reputable companies, demonstrating the program's alignment with industry needs.

Program Outline

Degree Overview:

This Postgraduate Diploma in Science in Data Analytics aims to cultivate technically proficient and innovative graduates capable of excelling as leading practitioners in the field. Upon completion, graduates will possess:

• Proficiency in conducting independent research and analysis within the realm of data analytics
• In-depth knowledge of data analysis, statistics, and the tools, techniques, and technologies employed in data analytics, applicable in both technical and business contexts
• Meticulous critical assessment and evaluation skills for business and technical data analytics strategies
• The ability to devise and implement effective solutions for business and technical data analytics
• A profound understanding of ethical and data governance issues pertaining to data analytics

Outline:

The program is meticulously designed to cater to individuals with specific interests in data analytics, ranging from those seeking a more technical focus to those prioritizing a business-oriented approach. Additionally, all learners will gain exposure to legal and ethical considerations inherent in the field of data analytics. Students will delve into product commercialization issues associated with data analytics. The program is meticulously crafted by faculty and practitioners, incorporating academic research, industry-defined practical problems, and insightful case studies.

Modules

• Statistics for Data Analytics
• Database and Analytics Programming
• Data Mining and Machine Learning I
• Modelling, Simulation, and Optimization
• Business Intelligence and Business Analytics (Elective module group 1)
• Data Intensive Architectures (Elective module group 2)
• Career Bridge
• Data Mining and Machine Learning II
• Data Governance and Ethics
• Domain Applications of Predictive Analytics (Elective module group 1)
• Scalable Systems Programming (Elective module group 2)

Assessment:

The course assessment incorporates a balanced approach of project work and examinations, typically with a 50% weightage for continuous assessment and 50% for exams. In certain instances, exams may be scheduled during daytime, evenings, and weekends.

Teaching:

This blended/online learning course seamlessly combines Directed E-Learning activities such as interactive live online classroom sessions and engaging tutorials/videos accessible through the College's e-learning system. This innovative approach allows for focused and practical online class time, with theory-based content delivered outside of class hours via self-paced tutorials/videos. Practical content is covered in live online classes, ensuring ample support from lecturers and lab assistants. At predetermined and limited times, on-campus sessions will be conducted. These sessions will also be dual delivered, enabling students who prefer online attendance to participate remotely.

Careers:

This program is meticulously designed to align with the growing demand for individuals with profound data analytics skills, addressing a critical skill shortage in Ireland. Graduates have been successfully placed in reputable companies, including:

• DTSQUARED (Data Management Consultant)
• Valeo (Data Management Lead)
• ESB (Data Analyst)
• SectoGMC (QA Manager)
• TedCastles Oil Products (Senior Business Analyst)
• Fidelity Investments (Senior Systems Analyst)
• MetLife Production (Management Analyst)
• Pernod Ricard (Marketing Analytics)
• DXC Technology (Data Analyst)
• Deloitte (Artificial Intelligence Consultant)