理学硕士计算机科学（数据分析）

我们所做的几乎所有事情都会导致数据被创建并存储在某个地方。个人，社区，企业和政府在利用所有这些数据来创建将为更健康，更安全，更高产的世界提供基础的知识方面面临着重大挑战。全球在数据分析和数据科学方面的人才和专业知识短缺。该MSc和文凭课程将为计算机或相关学位的毕业生提供深厚的技术知识和分析技能，以在该增长领域取得成功。<br> <br>这是一个高级MSc计划，为计算机科学和相关领域的毕业生提供在数据分析的新兴增长领域拥有深入的知识和技能。它包括诸如大型数据分析，高级数据挖掘和机器学习，应用回归建模，信息检
Almost everything we do results in data being created and stored somewhere. Individuals, communities, business and governments face major challenges in harnessing all this data to create knowledge that will underpin a healthier, safer, more productive world. There is an acute global shortage of talent and expertise in Data Analytics and Data Science. Due to the strong demand for these graduates and the leading edge quality of this particular programme, annual demand for places on the programme is extremely competitive. <br><br>This is an advanced MSc programme that is delivered full-time over one year, and provides graduates of Computer Science and closely related areas with in-depth knowledge and skills in the emerging growth area of Data Analytics and Data Science. The MSc in Data Analytics is delivered by a team of highly respected academics based in University of Galway that are considered international experts in their respective fields. Some of the topic areas include large-scale data analytics, advanced data-mining and machine learning, deep learning, information retrieval, natural language processing, data visualisation, web mining, linked-data analytics, simulation and modelling, and digital image processing.<br>This programme is aimed at graduates with a primary qualification in Computer Science or related subject area. It is not a conversion course, and students are expected to be already at a very high technical standard with regard to the technical elements of their computing background.<br><br>Career Opportunities<br>Data analytics skills are required in every industry. Graduates will be excellently qualified to pursue exciting careers in national and multinational industries in a wide range of areas. Our graduates currently work for companies as diverse as IBM, SAP, Cisco, Avaya, Google, Fujitsu, Accenture, Paddypower.com, Merck Pharmaceuticals as well as many specialised companies and start-ups.