This programme is for students who would like to solve business problems through quantitative data analytics. Organizations today realize that data analytics is a critical competitive capability to survive in the new era of Big Data and Artificial Intelligence. Businesses now have abundance of data at their disposal generated from traditional functions such as sales and operations, but also, more recently, from social media and the Internet of Things. That has made the volumes and variety of data of value to businesses very large, effectively dubbed as the Big Data era.
Mining data and finding insights of value to businesses is a crucial process to move from raw and seemingly messy data, to organized insights supporting evidence-based management. For example, classifying free-text tweets of consumers opinions of a certain company’s product into positive, neutral, and negative sentiments can help the company identify potential issues and deal with them in a proactive manner.
This MSc in Business Analytics is for graduates with degrees that include quantitative techniques such business, management, mathematics, physics, and others, who would be interested in applying quantitative analytics in business, including in commercial, governmental and non-governmental organizations. The Big Data analytics market is set to grow with a rise in demand for data analytics jobs. This programme enables students to bridge their business analytics skills gaps and get ready to contribute to this exciting and growing data-based economy.
Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level. International applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level at 2.2.
Candidates should have a minimum 2.2 grade honours (level 8) degree which includes quantitative techniques as part of the degree (including the ability to undertake statistical analysis of data). Examples of such degrees include business studies, management science, economics, finance, accounting, engineering, mathematics, physics, computer science, and other sciences. Please note that this degree is quantitative in nature and therefore applicants do need to have a basic level of quantitative capabilities, hence the requirement for a degree with modules that have a quantitative element within them.
Applicants whom have a minimum of three years’ work experience in a position that employs quantitative methods and a 2.2 honours degree (quantitative or non-quantitative degree) may be considered for entry on a case by case basis.
In exceptional circumstances consideration will be given to candidates who do not hold a primary degree, but who do have at least 10 years relevant work experience at least 3 of which must be in a position that employs quantitative techniques. These applicants are managed through the Maynooth University Procedure for Non-Standard Entrants and Recognition of Prior Experiential Learning
You need to complete credit hours to successfully obtain this degree. Please check detail of study units at https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/courses/msc-business-analytics
The programme is intensive with a focus on hands-on learning experience. It is made up of eight taught modules. Modules cover the foundations of business analytics (Principles of Business Analytics, and Predictive Analytics), real-world analytics projects with an organization (Analytics Live), analytics applications and socio-technical implications (Marketing Analytics, Contemporary Issues in IT, and People, Organisations & Society), in addition to Core Experiences modules (Career Planning and Development, and Evidence Based Management).