多倫多大學18-19將開設新的專業(yè)

■大學2月的reading week悄悄走了，而最近，多倫多大學也悄悄地新增了一個專業(yè)，它就是在北美非常熱門的Data Science（數據科學）。

這個專業(yè)一出，不少的大三大四學長學姐都在抱怨說：“為什么多倫多大學不早一點有這一個專業(yè)，好想讀！”而糾結于選專業(yè)的大一大二學生，這個無疑是一個好消息。

■總體來說，Data Science 除了是結合現有多倫多大學統(tǒng)計專業(yè)（Statistics）和計算機科學（Computer Science）的課程之外，它還有設有自己獨特的3門專業(yè)課（課號由JSC開頭）。

那到底「Data Science」是一個什么樣的專業(yè)，我們一起來看看官方的英文介紹及翻譯。

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.

”數據科學領域是統(tǒng)計學和計算機科學專業(yè)的結合，讓學生可以從分析數據中學習。

數據科學家從數據中提取信息，除此之外，從熟悉數據到以非技術性語言展示分析結論。

數據科學專業(yè)為準備在數據科學行業(yè)或政府工作以及打算在數據科學，計算機科學或統(tǒng)計方面進行研究生學習的學生做好準備。

讀該專業(yè)的學生將受益于多倫多大學提供的一系列計算機科學與統(tǒng)計學高級課程，以及專為該專業(yè)設計的一系列三門綜合數據分析課程。

“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.”

數據科學專業(yè)志在為學生提供三個層面的教育。

首先，學生將掌握統(tǒng)計學理論，應用和任何數據分析師必備的推論方面的專業(yè)知識。

第二，學生將接受計算機科學的深入培訓：包括了處理大量數據的算法，數據結構的設計和分析，以及軟件設計等方面。

學生將接受機器學習（Machine Learning）方面的培訓，該課程是結合計算機與統(tǒng)計科學的黃金課程。

第三個方面是計算機科學和統(tǒng)計學的共同應用，用于對復雜的大規(guī)模數據集進行分析，并對這些分析的結果進行交流;學生將通過專門為數據科學專業(yè)設計的綜合課程接受這些領域的培訓。

課程涉及真實的實驗和應用，比如：學生將研究某些來自企業(yè)，政府或科學領域的真實大數據。

就讀此專業(yè)的成功學生將把他們在計算機和統(tǒng)計科學方面的專業(yè)知識結合起來，應用到大規(guī)模的復雜數據分析中。

“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.”

從這個專業(yè)畢業(yè)的學生將獲得以下類似的技能：（1）熟練掌握統(tǒng)計推理和計算思維 （2）數據處理和探究，可視化數據，以及作為數據科學家工作所需的溝通技巧 （3）應用統(tǒng)計方法去解決科學研究，商業(yè)和政府背景下的問題的 （4）對軟件開發(fā)的技能和經驗 （5）用于處理大型數據集的當前軟件基礎結構的知識。

■專業(yè)分類

此專業(yè)屬于 limited enrolment program (Type 2L) 必須經過申請和達到一定的成績才能成功進入。

■申請要求（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.）

■畢業(yè)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