今年,布里斯托大学在多个学科领域都新增了紧跟时代发展趋势的新专业,比如商学院的MSc Financial Technology、理学学部的MSc Scientific Computing with Data Science等等。 尤其值得一提的是,作为英国顶尖的经济院系之一,布大经济学院也在今年新开设了MSc Economics with Data Science——经济学与数据科学专业。今天,小编就...
而在澳大协同创新研究院中的数据科学硕士,也有开设金融科技的专业方向-- MSc in Data Science with Specialization in Financial Technology,但这个专业的课程设置和新增专业的课程设置重点是不一样的,它更偏向于商科的知识,比如企业融资、金融风险管理、商业银行管理,因此不仅适合有理工科背景的学生,商科同学申请的话也...
Machine Learning with Applications in Finance 机器学习及其在金融中的应用 选修课(选四门): Financial Services Entrepreneurship金融服务创业 Advanced Machine Learning in Finance 金融高级机器学习 Financial Institutions and Markets 金融机构和市场 Financial Data and Statistics 金融数据和统计 Financial Engineering 金融...
布里斯托⬇️这些专业也开始养鱼了 MSc Business Analytics MSc Economics with Data Science MSc Financial Technology with Data Science MSc Wireless Communications and Signal Processing MSc Image an...
Aerial Robotics , MScBioinformatics, MScBiorobotics, MScBusiness Analytics, MScData Science, MSc(这个专业官网里写着new,但2020fall不是就招生了么)Digital Health, MScEngineering with Management, MScFinancial Technology with Data Science, MScGlobal Health, MSc Management (CSR and Sustainability), MScMa...
• MSc Economics with Data Science • MSc Finance and Investment • MSc Financial Technology 注意,MSc Accounting and Finance及MSc Financial Technology均已开启hold pool。 利兹大学 计算机学院以下专业将于2024年2月9日截止第二轮申请: • Advanced Computer Science MSc ...
1 - 金融科技 (FinTech) - Financial Technology (FinTech) 2 - 金融数据的机器学习 - Machine Learning for Financial Data 3 - 企业金融 - Corporate Finance 4 - 投资管理 - Investment Management 5 - 使用Python和R的金融计算 - Financial Computing with Python and R 6 - 区块链和加密货币 - Blockch...
Master of Science in Computer Science 计算机科学 包括以下四个方向: 1.General Stream 普通方向 2.Financial Computing Stream 金融计算方向 3.Cyber Security Stream 网络安全方向 4.Multimedia Computing Stream 多媒体计算方向 Master of Science in Engineering (Civil Engineering) 土木工程 ...
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Technology is also impacting how traditional financial intermediaries work: machine learning, artificial intelligence, deep learning, big data, and blockchain are new tools that financial companies are deeply using for transactional data analysis and improvising their risk manage...