投资管理理学硕士

MSc Investment Management的创建旨在反映金融理论和投资金融行业的最新发展。甚至在2008年金融危机之前，投资金融就已经变得越来越全球化，复杂并且依赖于信息技术来创建和管理金融资产组合，私募股权和对冲基金。我们的课程涵盖了金融和财富管理行业的所有方面，例如公司融资，企业融资，财务和管理会计，投资组合理论以及投资分析和管理。我们的计划还结合了定量和计算方法，这些方法适用于投资组合分析和管理，证券和衍生产品的理论和使用，以及财富基金的会计和财务管理。企业家融资是我们计划的重要方面，因为许
The MSc Investment Management programme has been created to reflect the latest developments in finance theory and in the investment finance industry. Even before the 2008 Financial Crisis, investment finance was becoming increasingly globalised, complex and reliant on information technology to create and manage financial asset portfolios, private equity, and hedge funds. Our programme covers all aspects of the finance and wealth management industry, such as corporate finance, alternative investments, econometrics, portfolio theory, and investment analysis and management. Our programme also incorporates quantitative and computational methods applied to portfolio analysis and management, the theory and use of securities, derivatives and structured products. The MSc Investment Management programme is affiliated by the Chartered Financial Analyst - with Middlesex University Dubai being the second university in the Gulf region to receive this accolade at Master’s level. Students are granted exclusive access to The Code of Ethics and Standards video series - CFA Institute Code of Ethics and Standards of Professional Conduct, the ethical benchmark for investment professionals globally. Students have the opportunity to attain up to 22 Certificates of Achievement from the CFA Institute in their first year of MSc Investment Management. Three students will receive a scholarship from the CFA Institute towards their CFA qualification. Covers all aspects of the finance and wealth management industry from corporate finance to econometrics to investment analysis and management. Produces graduates who will be able to use technology to create and manage their own or clients’ investment portfolios or to effectively manage wealth funds in the financial services industry that has become a major end-user and even a major driver of technological innovation, such as machine learning, big data analysis.