统计学只是与数字打交道吗？港中深教授为你解读统计学专业！

主讲人简介

 

  陈毅恒教授是香港中文大学（深圳）统计学专业负责人。他曾任香港中文大学统计学专业系主任、卓敏统计学讲座教授。他于1985年获马里兰大学博士学位。陈教授于统计学贡献良多，曾获多项殊荣，包括数理统计所（Institute of Mathematical Statistics）院士、美国统计学会（American Statistical Association）院士、国际统计协会（International Statistical Institute）委员、香港统计学会荣誉委员，国际数理统计学会会士以及Econometric Theory Multa Scripsit Award。

 

 

陈毅恒教授解读统计学专业

 

  大家好，我是香港中文大学（深圳）的陈毅恒教授，曾担任港中大统计学系的系主任。我想借用各位几分钟的时间，介绍一下我们的统计学项目。

 

  对于考生而言，他们首先感兴趣的问题可能是：为什么要选择统计学？统计学到底是什么？

 

  有些人认为，统计学是一门仅与数字打交道的学科。此话不假，但统计学的意义远超如此。与数字打交道的学科有很多，比如会计学，那为什么要选择统计学呢？

 

 

  在统计学里头，我们不仅要处理数字，还要处理数据，各式各样的数据。虽然许多数据主要以数字的形式呈现，仅有数字是不够的，我们还需要建模，我们要收集整理数据，并且进行统计推断和预测。因此，从某种意义上说，无论被归为文科还是理科，统计学都是一门帮助我们更好地管理未来的学科。

 

  正因如此，统计学是有趣而实用的。一言以蔽之，统计学是一门处理不确定性的学科，涵盖了现实生活中的各种不确定性，包括我们在过去几个月里一同经历过的种种不确定性。

 

  香港中文大学（深圳）的统计学专业主要分为三个专业方向，第一个方向是统计科学，主要学习的是统计学的本质、起源、应用等核心内容。第二个方向是数据科学，它迎合了大数据时代人们对数据科学的新兴需求。第三个方向是金融统计和风险管控，由于应用面广泛，这一个方向非常受同学们的欢迎。

 

  进入到统计学项目学习的新生，包括我们现在的大一学生，会在大二的时候，从上面三个方面中选择自己未来的专业方向，进而在这个专业领域发光发热。

 

  接下来，我将简单介绍一下统计学专业本科生的毕业情况。虽然我们是一所非常年轻的大学，但我们已经有几届的毕业生了。他们之中大部分人会选择继续攻读研究生项目，这一点在年轻的大学里是很少见的。当然也有不少毕业生选择直接就业，成为了知名企业科研部门的数据分析师，他们的雇主主要是那些与数据息息相关的企业，如华为、顺丰、小米。这些企业往往需要大量的数据分析，而我们的毕业生恰好能够为他们提供专业知识。

 

  总而言之，我认为统计学是许多人在未来会长期关注的一个学科，它对社会的影响也绝对不容小觑，期待在夏天与大家见面。愿各位安康，请照顾好自己，并在考试中考取好成绩，再会。

 

英文版：

 

  Good day, everyone. Welcome to this recording, and this is Professor Ngai Hang Chan from the Chinese University of Hong Kong, Shenzhen. The program director of the statistics program here.

 

  I would like to borrow a few minutes of your time to introduce our program to you. 

 

  The first quick question for the potential candidates are why choose statistics? And what is statistics?

 

  Some people may have this perception that statistics only deals with numbers, which is true, but statistics goes all the way beyond that. There are also other disciplines that deal with numbers. For example, accountant. So why statistics? 

 

  In statistics, we do not only with numbers, but with data, all kinds of data. Although many data are being represented by numbers, still there are things that are beyond it. And so from which we build models, we infer the models, and then we predict the models from the data. Therefore, in a way, statistics is a subject as either science or arts for us to manage our future better. And that's why statistics is so interesting and useful. 

 

  To make it short, I think, one key word, statistics is a subject to deal with uncertainty, all kinds of uncertainty in real lives some of which we have been experiencing for the last few months.

 

  Now at the Chinese University of Hong Kong, Shenzhen, our program consists of three main streams. The first one is statistical science, which is purely in terms of understanding the nature and the origin of statistics and its usefulness.

 

  The second one is about data science, which is particularly timely in view of the recent shift of the interest in the so-called big data year. And the 3rd one is on statistical finance and risk management, which everyone loves a lot because of its application. For our candidates or even for our students who entered into a program studying the second year, they would choose one of all of these 3 streams to be their potential major. And from this, they will move on.

 

  Let me use some time to mention what our graduates doing. Well, even though we are a young university, we already gotten a couple of graduates years. And many of our graduates end up pursuing high degrees, which is really unusual for a young university.

 

  And some of which would go to the workforce and being data analysts in a lot of other research departments in big firms. For example in places where data is indispensable like Huawei or Shunfeng or even Xiaomi. These are places they need a lot of data analytics and we provide expertise for them.

 

  In short, I think statistics would be a subject that is of long lasting interest to many people. And it has tremendous effect to the society.

 

  I look forward to seeing you all in the summer and I hope that you're all staying well. Take good care of yourself and then get a good result in your examination. Good bye.

 

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