Applications in Big Data

This microcredential aims to provide a theoretical and practical introduction to Big Data, its analysis and relevant challenges associated with Big Data. Big data, open data and various data infrastructures including the rapidly changing data landscape and data revolution will be discussed. An in depth analysis of the implications of the Big Data and its revolution in various areas (applications of Big Data) will be explored.

Accordion / FAQ component

Applicants must hold a relevant National Framework of Qualifications Level 6 or equivalent and Recognition of Prior Learning. Academic achievements at third level to date must highlight numeracy and problem solving skills.

Applicants who may not have the aforementioned qualifications but who may have relevant industrial experience (typically 5 years duration in a GMP environment) may apply for consideration through the ATU Sligo RPL (Recognised Prior Learning) process

On completion of this module the learner will/should be able to;

1.To understand the fundamentals of big data analysis, the strengths and limitations of big data research with real-world examples.

2.To develop competence in handling and processing of Big data, Identify the opportunities and challenges of incorporating big data analytics to improve the development and testing of precision medicine eg. genomic data, electronic medical records.

3.To understand the methodological challenges and problems and gain understanding of the principles of reproducible research (data sharing/version controls etc - e.g GIT)

4.To apply Health Information Technology and Machine learning techniques to implement relevant workflow for data analysis. Undertake Data Analytics, Data Wrangling and Exploratory Data Analysis (e.g. R, Python)

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Accordion / FAQ component

Requirements & Specific Pre Reqs

Learning Outcomes - Future Skills/Tools/Knowledge

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Detailed Course Information