large amounts of data, often referred to as Big Data, to draw conclusions and insights from the information they contain. Some examples of data analytics applications include real-time fraud detection, complex competitive business analysis, website optimization, intelligent management of air, road and other traffic, and consumer spending patterns.
Big Data presents three main problems: there is too much data to handle easily; the speed of data entry and exit makes it difficult to analyze; and the variety and type of data sources are too large to assimilate. With the right analytics and techniques, this big data can deliver hidden and non-hidden information, patterns, and relationships from multiple sources using data analysis techniques.
Athlone Institute of Technology, recently voted 2018 Institute of Technology of the Year, has developed an industry-focused contemporary master’s program that will equip graduates with the skills and aptitudes necessary to excel in the emerging field of Big Data and Data Analytics. This program will ensure that you can understand the context of the data, apply the appropriate techniques, and use the most relevant tools to generate knowledge about that data.
What will I experience?
The program lasts for one calendar year, starting in September and consists of three semesters. Semesters 1 and 2 will incorporate three key pillars of data analysis: data, tools and techniques, and analysis. Each pillar overlaps the other to provide a consistent and unified set of basic skills in data analysis. The third semester will consist of an industry-led project.
At the center of the discipline is data. In this pillar, students will develop their skills in areas including database technologies, data manipulation languages, including SQL, and the R programming language. To understand data, various techniques will be taught, including programming for Big Data. , statistics and probabilities and data interpretation. Interwoven within these modules is the use of industry standard data analysis software tools. The last pillar of the program is analysis. In these modules, students will develop skills to become data savvy professionals, gaining insights into the data from which strategic decisions can be made.
Applied research project.
In the third semester of the program, students will complete a data analysis project and an associated thesis of 20,000 words.