重磅消息 | 2020國際研究生預備課程（經(jīng)濟金融班暑課）開始報名啦！

留學黨請注意！！！香港中文大學（深圳）高等金融研究院（以下簡稱“深高金”）依托研究生教育優(yōu)勢，開設國際研究生預備課程，提供金融和經(jīng)濟等商科研究生基礎教育，為滿足海外碩士學位課程嚴苛的申請條件及順利完成碩士課程做好充足的準備，于2020年3月9日開啟國際研究生預備課程報名申請系統(tǒng)！

項目簡介

該項目為期4周，全英文授課；學員通過學習經(jīng)過考試拿到一定學分后，將獲得香港中文大學（深圳）高等金融研究院的結(jié)業(yè)證書和成績單；更有機會獲得授課老師推薦信；深港兩地知名企業(yè)參訪！

課程安排：

Quantitative methods 數(shù)量方法 (課程代碼：SFI5301)

Introduction to Economics 經(jīng)濟學導論(課程代碼：SFI5302)

Accounting for Finance 金融會計(課程代碼：SFI5303)

 Introduction to Python Python課程（選修）(課程代碼：SFI5311)

?數(shù)量方法、經(jīng)濟學導論（中級）、金融會計為全英文授課，Python課程為中文授課；

優(yōu)秀師資

劉民教授

杜克大學博士

香港中文大學（深圳）高等金融研究院 副院長

高層管理教育項目主任

香港中文大學  金融財務MBA 課程主任

教學/研究方向：投資、房地產(chǎn)金融、衍生品市場、計量經(jīng)濟學

李宏毅教授

俄亥俄州立大學   博士

香港中文大學決策科學與企業(yè)經(jīng)濟學系任教，并擔任博士生導師

教學/ 研究方向：經(jīng)濟與金融時間序列計量分析 、宏觀經(jīng)濟增長和收入分配理論，以及中國經(jīng)濟等諸多方面; 曾在清華大學、武漢大學、西安交通大學、新加坡南洋理工大學等大學講授MBA和EMBA課程。

Mark E. Koznarek

賓夕法尼亞大學沃頓商學院 MBA

威斯康星大學 碩士

香港中文大學（深圳）金融學理學碩士項目執(zhí)行主任

研究方向：從事機構(gòu)股票研究分析（或者“華爾街分析師”）超過20年；曾任職于美國最大的資產(chǎn)管理公司之一的 Alliance Bernstein L.P. ，同時也是兩家股票研究公司的創(chuàng)始人。

申請流程：

申請要求：

1. 大學本科二年級及以上本科學生，不限專業(yè)；
2. 英語水平要求：英語四級不低于450分；或英語六級不低于420分；或雅思（學術類）不低于5.5分；或其它可證明英文水平的考試。

申請材料：

1. 申請表；
2. 個人簡歷（中英文）；
3. 掃描：相關英語能力資格證書復印件，如英語四級、六級、托福、雅思、GMAT等；
4. 掃描：其他證明材料，如已發(fā)表的論文復印件、獎狀復印件、各類證書復印件等。

開課時間：

1. 第一個班：2020年7月13開課；
2. 第二個班：2020年7月27開課。

*最終開課時間，以錄取郵件為準！

課程信息

Introduction to Economics

經(jīng)濟學導論（中級）

The course covers the basic concepts of Intermediate Microeconomics with a moderate degree of sophistication.  This course will be useful to students who plan to take international master degree’s programs as well as students who want to get a solid understanding of economics principles required to understand finance and economics applications. The linkage between economics models and applications is emphasized throughout. Bearing in mind that students are transitioning both from studying in a Chinese setting to that of an international setting and from undergraduate study to graduate study, I have structured the course so that students would benefit most from the learning process.  

Quantitative Methods

數(shù)量方法

The objective of this course is to address mathematical techniques required for analysing issues in finance and economics. As a pre-master course, it is intended to both refresh and consolidate basic concepts, and then go further to expand students’ knowledge of these topics, as preparation for the more rigorous core courses of the MSc Program. There are two parts of the course, fundamental methods of mathematical economics which help you to understand financial & economic models; probability and statistics which help you to conduct empirical analysis in the areas. Apart from teaching the mathematical principles, there is also an emphasis on showing the relevant applications in finance & economics for these mathematical techniques.

Accounting for Finance

金融會計

This course is designed to provide students contemplating post-graduate financial study with an understanding of, and competency in, the language and processes of accounting. Our emphasis is on understanding the inputs to financial statements, so that students understand the benefits and limitations of financial statements. In particular, we focus on use of the financial statements to address financial questions. The overall aims of this course include the following:

• Provide a broad introduction to accounting and it’s key principles.
• Introduce the role of accounting and how accounting captures information about the economics of an entity.
• Develop the skills to read and understand Financial Statements.
• Develop the skills to identify and record accounting transactions.
• Develop the skills to prepare basic financial statements including the Statement of Financial Position, Statement of Comprehensive Income, and Statement of Changes in Equity.
• Enable students to understand the ‘story’ told by financial statements and the implications for the story when different choices are made.
• Develop skills in financial statement analysis using real-world company financials.

Introduction to Python

Python入門課程

The course covers topics including, Python setup and familiarization with the environment, writing basic programs in Python, Python development support data structures and libraries including Numpy, exploratory data analysis using libraries such as Pandas, predictive model design including regression analysis, decision tree and other prediction models, visualizations using Matplotlib, and implementation project to practice the concepts learned during the course. An outline of the topics includes:

• Python Setup and Basics
• Writing simple Python Programs
• Data Structures and Libraries
• Control Flow in Python
• Exploratory Analysis in Python
• Predictive Model Design
• Data Visualization
• Course Project

如需了解報名詳情及費用情況，或更深層次地了解該課程項目的信息，點擊參與免費的“留學評估”或撥打全國免費熱線400-6652-485進行報名咨詢！