ARMONK, N.Y. and DUBLIN, July 24, 2013 /PRNewswire/ -- IBM (NYSE: IBM) is teaming with Dublin City University (DCU) to create a new Masters Degree program in Computer Science with Big Data, Business Analytics and Smarter Cities. The collaboration will help graduate students to develop critical IT skills for urban analysis, consumer behavior, social networks, sentiment analysis, healthcare, and cyber and network security.
The Masters in Computing (Data Analytics) course content has been developed jointly by IBM and DCU to equip students with deep analytical skills to support the changing face of business today. The new program will provide a variety of exclusive resources including access to real-world IBM case studies from cities and organizations around the world. It will be delivered by experts from DCU and IBM and will facilitate collaborative research projects between the two organizations.
"This new MSc program will give students deep quantitative skills and technical expertise to apply analytics to real business problems. Cities today generate large volumes of data, and both IT managers and city leaders must understand the implications of the use of that data and how to create social and business value by extracting actionable insights from that data. These data and analytics challenges also exist in other industries, and students with these skills will have many career opportunities," says Dr Katharine Frase, Vice President and CTO, IBM Global Public Sector.Technologies such as the Internet, social media and cloud computing are generating vast amounts of data. The ability to analyze big data has implications for industries as healthcare, retail, finance and transportation. The data analytics sector, which is growing at 40% per annum worldwide, focuses on converting large amounts of raw data into valuable information through the use of statistical analysis and advanced software. The sector has been targeted for jobs growth as part of the 'Disruptive Reforms' in the Irish Government's Action Plan for Jobs 2013.
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