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Postgraduate BUSINESS ANALYTICS

Qualification: MASTER OF SCIENCE DEGREE
Award Type and NFQ Level: TAUGHT MASTERS (9)
Course code: MNAF6
PAC code: MH48D
Closing date: 30 June 2024
Details Details
 

This programme is for students who would like to solve business problems through quantitative data analytics. Organisations today realise 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 organised 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 organisations. 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.

Additional Resources 

Please check out the Postgraduate Open Day Page for details on our upcoming open days and postgraduate information and resources shared at previous open days which includes information on fees, funding, scholarships and student life.

Autumn School

The programme offers a preparatory Autumn School to prepare students from different backgrounds to arrive at basic levels of business, maths & statistics, and programming for business analytics.  The date for this is normally in the last 2 weeks of August.

Course Commences
September entry

Open Entry requirements
 
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