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Maynooth University School of Business

Qualification : MASTER OF SCIENCE DEGREE

Award Type and NFQ level : TAUGHT MASTERS (9)

CAO/PAC code : MH48D

CAO Points :

Closing Date : 31 July 2020

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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.

Minimum English language requirements: please visit Maynooth University International Office website for information about English language tests accepted and required scores. The requirements specified are applicable for both EU and non-EU applicants.

National University of Ireland Maynooth’s TOEFL code is 8850

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).

 

The programme also offers a preparatory Autumn School to prepare students from different backgrounds to achieve the basic levels of Business, Maths & Statistics, and Programming that you will need to undertake an MSc in Business Analytics. Our approach to learning involves active engagement in problem solving, individually and collectively. Each module is taught in four one day blocks. For each module there is a space of three to four weeks between the next teaching block. This enables learners to undertake their individual and group work and study in preparation for the next class. A full time student would take four modules per semester and thus be in class two full days every second week, with substantial group and individual work in-between, and supported by access to lecturer insights via office hours and online supports as necessary. Part time students take two modules a semester over two years to complete the programme.

Course Duration: 1 year Full-time

This programme will equip students with a distinctive capability to understand business analytics in terms of what it can do, but also how it works, so they can adapt their knowledge to various challenges they face in their future careers. The programme offers a dedicated module to career planning and development so students can develop their own career strategy. Career paths include  roles such as business analysts, analytics associates, business intelligence engineers, operations analysts, and product analysts, among others.

Online application only www.pac.ie/maynoothuniversity

PAC Code   Full-Time MH48D   

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

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