多伦多大学18-19将开设新的专业

■大学2月的reading week悄悄走了，而最近，多伦多大学也悄悄地新增了一个专业，它就是在北美非常热门的Data Science（数据科学）。

这个专业一出，不少的大三大四学长学姐都在抱怨说：“为什么多伦多大学不早一点有这一个专业，好想读！”而纠结于选专业的大一大二学生，这个无疑是一个好消息。

■总体来说，Data Science 除了是结合现有多伦多大学统计专业（Statistics）和计算机科学（Computer Science）的课程之外，它还有设有自己独特的3门专业课（课号由JSC开头）。

那到底「Data Science」是一个什么样的专业，我们一起来看看官方的英文介绍及翻译。

Data Science Specialist (Science Program)“The field of Data Science is a combination of statistics and computer science methodologies that enable learning from data.

A data scientist extracts information from data, and is involved with every step that must be taken to achieve this goal, from getting acquainted with the data to communicating the results in non-technical language.

The Data Science Specialist program prepares students for work in the Data Science industry or government and for graduate studies in Data Science, Computer Science, or Statistics.

Students in the program will benefit from a range of advanced courses in Computer Science and Statistics offered by the University of Toronto, well from a sequence of three integrative courses designed especially for the program.

”数据科学领域是统计学和计算机科学专业的结合，让学生可以从分析数据中学习。

数据科学家从数据中提取信息，除此之外，从熟悉数据到以非技术性语言展示分析结论。

数据科学专业为准备在数据科学行业或政府工作以及打算在数据科学，计算机科学或统计方面进行研究生学习的学生做好准备。

读该专业的学生将受益于多伦多大学提供的一系列计算机科学与统计学高级课程，以及专为该专业设计的一系列三门综合数据分析课程。

“The Data Science Specialist program comprises three fundamental and highly-integrated aspects.

First, students will acquire expertise in statistical reasoning, methods, and inference essential for any data analyst.

Seconds, students will receive in-depth training in computer science: the design and analysis of algorithms and data structures for handling large amounts of data, and best practices in software design.

Students will receive training in machine learning, which lies at the intersection of computer and statistical sciences.

The third aspect is the application of computer science and statistics to produce analyses of complex, large-scale datasets, and the communication of the results of these analyses; students will receive training in these areas by taking integrative courses that are designed specifically for the Data Science Specialist program.

The courses involve experiential learning: students will be working with real large-scale datasets from the domain of business, government, and/or science.

The successful student will combine their expertise in computer and statistical science to produce and communicate analyses of complex large-scale datasets.”

数据科学专业志在为学生提供三个层面的教育。

首先，学生将掌握统计学理论，应用和任何数据分析师必备的推论方面的专业知识。

第二，学生将接受计算机科学的深入培训：包括了处理大量数据的算法，数据结构的设计和分析，以及软件设计等方面。

学生将接受机器学习（Machine Learning）方面的培训，该课程是结合计算机与统计科学的黄金课程。

第三个方面是计算机科学和统计学的共同应用，用于对复杂的大规模数据集进行分析，并对这些分析的结果进行交流;学生将通过专门为数据科学专业设计的综合课程接受这些领域的培训。

课程涉及真实的实验和应用，比如：学生将研究某些来自企业，政府或科学领域的真实大数据。

就读此专业的成功学生将把他们在计算机和统计科学方面的专业知识结合起来，应用到大规模的复杂数据分析中。

“Skills that graduates of the program will acquire include proficiency in statistical reasoning and computational thinking; data manipulation and exploration, visualization, and communication that are required for work as a data scientist; the ability to apply statistical methods to solve problems in the context of scientific research,

business, and government; familiarity and experience with best practices in software development; and knowledge of current software infrastructure for handling large data sets.

Graduates of the program will be able to demonstrate the ability to apply machine learning algorithms to large-scale datasets that arise in scientific research, government, and business; create appropriate data visualizations for complex datasets; identify and answer questions that involve applying statistical methods or machine

learning algorithms to complex data, and communicating the results; present theresults and limitations of a data analysis at an appropriate technical for the intended audience.”

从这个专业毕业的学生将获得以下类似的技能：（1）熟练掌握统计推理和计算思维 （2）数据处理和探究，可视化数据，以及作为数据科学家工作所需的沟通技巧 （3）应用统计方法去解决科学研究，商业和政府背景下的问题的 （4）对软件开发的技能和经验 （5）用于处理大型数据集的当前软件基础结构的知识。

■专业分类

此专业属于 limited enrolment program (Type 2L) 必须经过申请和达到一定的成绩才能成功进入。

■申请要求（Enrolment Requirements）

A.Completion of at least 4.0 FCEsincluding CSC148H1 (with a minimum grade of 70%) and MAT137Y1/ MAT157Y1 (with a minimum grade of 70%) and STA130H1 (with a minimumgrade of 70%)

B.An average of the grades in CSC148H1 andMAT137Y1/ MAT157Y1 and STA130H1 that meets the program's annual cutoff.

（*MAT157Y1 grades will be adjusted to account for the course's greaterdifficulty.

**Note that the cutoff changes from year to year, depending on thecurrent capacity of the program and the pool of applicants.）

■毕业要求（Completion Requirements）

(13.0/13.5 FCEs,including at least 1.

5 FCEs at the 400-)

大一 First year (3.0 FCEs)

MAT137Y1/ MAT157Y1;MAT223H1/ MAT240H1 ( MAT240H1 is recommended); STA130H1; CSC108H1; CSC148H1;

大二 Second year (3.5/4.0 FCEs)

MAT237Y1/ MAT257Y1;STA257H1; STA261H1; CSC207H1; ( CSC165H1, CSC236H1)/ CSC240H1 ( CSC240H1 isrecommended); JSC270H1 (Data Science I)

大三 Third year (3.5 FCEs)

STA302H1; one of STA303H1 or STA305H1; STA355H1;CSC209H1; CSC263H1/ CSC265H1 ( CSC265H1 is recommended); CSC343H1; JSC370H1 (Methods ofData Science II)

大四 Fourth year (3.0 FCEs)

1.CSC373H1;

2.One of STA414H1，CSC411H1

3.JSC470H1 (Data Science III);

4.1.5 FCEs from the following list,including at least

1.0 FCE at the 400 : STA303H1/ STA305H1(whichever one was not taken in third year), STA347H1, CSC401H1, CSC412H1,CSC421H1, any 400- STA course