布朗大學(xué)就業(yè)數(shù)據(jù)解析

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    布朗大學(xué)的數(shù)據(jù)科學(xué)碩士一共由應(yīng)用數(shù)學(xué)、數(shù)學(xué)、生物統(tǒng)計(jì)以及計(jì)算機(jī)科學(xué)四個(gè)系共同開設(shè),項(xiàng)目開設(shè)為期一年,包含3個(gè)學(xué)期,今天出國(guó)留學(xué)小編就給大家介紹 布朗大學(xué)就業(yè)數(shù)據(jù)解析,如果對(duì)這個(gè)話題感興趣的話,歡迎點(diǎn)擊出國(guó)留學(xué)網(wǎng)。
     布朗大學(xué)就業(yè)數(shù)據(jù)解析
    布朗大學(xué)數(shù)據(jù)科學(xué)碩士(Data Science Initiative,縮寫DSI)項(xiàng)目是布朗大學(xué)新開設(shè)的交叉學(xué)科項(xiàng)目,由數(shù)學(xué)、應(yīng)用數(shù)學(xué)、生物統(tǒng)計(jì)及計(jì)算機(jī)科學(xué)四個(gè)系共同開設(shè)。該項(xiàng)目旨在提供對(duì)數(shù)據(jù)科學(xué)方法和算法的基本理解,通過(guò)研究數(shù)學(xué)、統(tǒng)計(jì)學(xué)和計(jì)算機(jī)科學(xué)的相關(guān)主題來(lái)實(shí)現(xiàn),包括機(jī)器學(xué)習(xí)、數(shù)據(jù)挖掘、安全和隱私、可視化和數(shù)據(jù)管理。
    課程設(shè)置
    該項(xiàng)目為期一年,包含3個(gè)學(xué)期,秋季、春季外加一個(gè)暑期學(xué)期,具體課程
    秋季課程
    l Probability, Statistics, and Machine Learning
    l Hands-on Data Science
    l Data Engineering
    春季課程
    l Statistical Learning
    l Deep Learning and Special Topics in Data Science
    l Data and Society
    l Elective. (Domain knowledge relevant to individual interest)
    夏季課程
    l Data Practicum. (Real-world data project, in industry or academia)
    就業(yè)數(shù)據(jù)
    就業(yè)崗位
    l Applied Scientist - Business System Analyst - Clinical Data Manager - Data Coordinator - Data Engineer
    l Data Science Associate - Data Science Fellow - Data Scientist - Global Business Analyst - Health Data Scientist
    l Insight Research Analyst - Investment Analyst - Investment Banking Analyst - Machine Learning Engineer
    l Machine Learning Researcher - Natural Language Processor - Operations Analyst - Performance Design Engineer
    l Predoctoral Young Investigator - Product Analyst - Product Marketing Manager - Program Manager
    l Quantitative Analyst - Quantitative Associate - Research Analyst - Research and Development Scientist
    l Risk Analyst - Scientific Investigator - Software Engineer - Speech Scientist - Technical Product Manager
    就業(yè)單
    l 1800- - 6Estates - Advanced Portfolio Management - Allen Institute for AI - Amazon - AppSheet
    l Bank of America Merrill Lynch - Black Sesame Technologies, Inc. - ByteDance - CAPE Analytics - Capital One
    l Chartbeat - Chef US - Citi Bank - Citizens Bank - Columbia University Irving Medical Center - Comcast
    l DeepHealth - Devron Corporation - DiDi - Endeavor - Epiq - Ericsson - EY-Parthenon -
    l Fidelity Investments - Frontier Communications - Genospace - Goldman Sachs - Google - Grasshopper Bank
    l Green Dot Public Schools - GSK - Hasbro - Hopper - Hudson's Bay Company - Hypernet Labs - IBM
    l Inspirit AI - Instacart - Institute for Quantitative Social Sciences - iRobot - LinkedIn
    l Los Alamos National Laboratory - Luma Health - Massachusetts General Hospital - Medidata Solutions
    l Microsoft - Minted - Montefiore Health Systems - Net App - Next Insurance - OpenRisk Technologies
    l Optiver - Oracle - Pandemic Response Lab NYC - PayPal - Peloton Interactive - PPD - Prosper Marketplace
    l Qsemble - Restaurant Brands International -  - Rhythm International - Santander Bank - Service Channel
    l Shutterstock - SimpliSafe - Square - Strava - Survey Monkey - Swiss Re - Tagup, Inc. - Teng Yue Partners, L.P.
    l Tesla - TikTok- ToGoBOX - UC San Francisco - USAA Real Estate - View, Inc. - Wayfair - Zylotech
    同時(shí),也有學(xué)生繼續(xù)攻讀博士學(xué)位
    l Ph.D. Candidate, Chemical, Biochemical and Environmental Engineering, Brown University
    l Postdoctoral Research Associate, School of Engineering, Brown University
    l Ph.D. Candidate, Statistics, Boston University
    l Ph.D. Candidate, School of Engineering, Brown University
    l Ph.D. Candidate, Political Science, Brown University
    l Ph.D. Candidate, Cognitive Linguistic and Psychological Sciences, Brown University
    l Postdoctoral Research Associate, Yale School of Medicine
    l Ph.D. Candidate, Biology, Brown University
    l Ph.D. Candidate, Biomedical Engineering, Brown University
    l Ph.D. Candidate, Sociology, University of Oxford
    l Ph.D. Candidate, Astrophysics, University of Georgia
    l Ph.D. Candidate, Computer Science, UC Santa Cruz
    l Ph.D. Candidate, Chemistry, Brown University
    l Ph.D. Candidate, Biology, University of Tokyo
    申請(qǐng)信息
    背景要求
    項(xiàng)目沒(méi)有設(shè)置固定的先修課程,希望申請(qǐng)者有一定的數(shù)學(xué)、統(tǒng)計(jì)和計(jì)算機(jī)背景,建議至少學(xué)習(xí)過(guò)1年的微積分,1學(xué)期的線性代數(shù),1學(xué)期的概率論與統(tǒng)計(jì),以及一門計(jì)算機(jī)編程語(yǔ)言課程。如果申請(qǐng)者特別出色,缺少先修課程也可以被錄取
    申請(qǐng)截止日期2月1日
    申請(qǐng)材料
    l 成績(jī)單
    l GRE:要求提供,接受at-home考試成績(jī),錄取學(xué)生的GRE quantitive score of 165 - 170, 寫作4分及以上
    l 托福105或者雅思7.5【低于此成績(jī)不會(huì)被考慮】
    l 簡(jiǎn)歷
    l Personal statement
    l 推薦信3封
    l Writing sample-選擇性遞交