数据科学硕士

在信息时代，大数据不断变化且充满挑战，数据科学家的需求量很大。数据科学从数据资产中提取价值，帮助我们了解过去，更好地管理当前并有效地规划未来。它在促进工业，商业，治理和研究方面起着至关重要的作用，因此该领域的熟练毕业生受到了广泛的追捧。数据科学硕士（MDS）教您如何探索数据并发现其潜力-如何找到从科技初创企业到全球组织的科学，商业和政府实际问题的创新解决方案。拥有科学，工程，艺术或计算机专业的学位后，您可以攻读数据科学硕士，获得数据管理，数据分析和数据处理方面的技能，这是这个快速增长的领域所需的技能。<b
Data Scientists are in demand in the information age, where big data is ever changing and ever challenging. Data Science extracts value from data assets, helping us understand the past, better manage the present, and effectively plan for the future. It plays a critical role in advancing industry, commerce, governance and research so graduates skilled in this area are highly sought after. The Master of Data Science (MDS) teaches you how to explore data and discover its potential – how to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations. With a degree in science, engineering, arts or computing, you can pursue a Master of Data Science, gaining skills in data management, data analytics and data processing – skills needed in this fast-growing field. The MDS expands your knowledge of the analytical, organisational and computational aspects of data. You learn to manage data and gain an understanding of its impact on society. The MDS caters to students from a variety of backgrounds by including foundation units in programming, databases and maths or statistics. However, if you have this background from previous studies or work experience, you may accelerate your study with an exemption from these units, or choose to take more data science electives. The core coursework covers data science objectives, data analysis, data pre-processing and visualisation. You then select data science electives such as machine learning, learning from semi-structured data like text, and big data handling. Your course electives allow you to build deeper skills in data analytics and machine learning. Our highly regarded faculty takes great pride in developing the most up-to-date material while maintaining a solid core of established theory and platforms, including Python and R (two of the most popular open-source programming languages for data analysis), Hadoop and Spark (for distributed processing). You also gain hands-on experience with state-of-the-art tools and get exposure to key industry players. In your final semester, you will take part in an Industry Experience team project, working with industry mentors to develop data-driven IT solutions. Or you will undertake a minor-thesis research project, investigating cutting-edge problems under the supervision of internationally recognised researchers. Students wishing to exit early can complete with a Graduate Certificate or Graduate Diploma of Data Science.