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交通标志,张亮-长高的黄金季怎能错过它!含钙量超牛奶10倍

2019-05-26 19:25:28 投稿人 : admin 围观 : 435 次 0 评论

结合开设BA的校园详细答复一下,内容比较多(真实看不完的主张保藏),首要包含以下几部分:

跟着“大数据”的呈现,各行各业好像都开端跟“数据剖析”或许“数据发掘”这个听起来巨大上的概念“联婚”——金融、电子商务、企业办理、生物医药,乃至教育学、社会学与心理学都开端许多引进定量剖析的办法进行科学研讨与实践,为人或企业的行为和战略决议计划供给更有力更客观理性的协助与支撑。由此,有不少新的学科分支和工作方向应运而生了。这其间就包含了商业剖析。

在大数据的布景下,公司纷繁开端运用数据驱动的办法,将客观的商场行情与人为要素相结合,深化探求各种事女忍2件、现象、行为发作的原因,辅佐各项计划战略的拟定或许对商场行情的了解,这能够看做是对“商业剖析”的浅显了解。不难看出,从事商业剖析的专业,不只需求懂商业运作、或许熟知商业花田医女范畴里至少某一个方向的常识,更重要的是把握数据剖析的技能。

商业剖析是一个典型的交叉学科,在西方国家也刚开端起步,美国各大高校开端开设商业分是硕士项目也便是近三五年的工作。而跟着商业范畴里数据量井喷式的添加,商业剖析的工作需求量也会大幅添加,因而,近几年有越来越多的人才挑选就读商业剖析专业,对自己进行综合性的培育炼神劫与提高;更重要的是不思议迷宫流浪汉帐子,与传统商科专业不同,现在美国高校已开设的一切商业剖析硕士项目均是STEM项目,也就意味着,就读这一商科专业的同学,会享有与技能性专业学生相同的OPT待遇。这是招引许多商科学生转方向请求的一个很重要的要素。因而,咱们估计未来几年商业剖析硕士请求的热度会变的十分高,有志于往这个方向开展的同学需求早做准备。

每个校园项目介绍都包含:

MSc in Analytics芝加哥大学剖析硕士是建立在Graham持续教育学院下的研讨生项目,课程悉数为线下课程。一年共四学季,学生每学季选3门课,其间部分课程白日授课。学生每年能够挑选春季或许秋季入学,学制为12个月至4年,大部分学生在1.5年完结此项目。学生需完结一切预修课程,修满11门课程,其间包含7门中心课程,1门商业战略/项目办理课程,3门选修课程,以及完结极点项目(capstone project)。

请求关键

◇ TOEFL要求104分以上,单项不低于26分;IELTS要求7.0以上,单项不低于7.0;

◇ 工作阅历:2年以上工作阅历,无工作阅历需供给GMAT或GRE分数证明学术才能

◇ 从前选取状况:

- 66%美国国籍学生,25%世界学生,9%永久居民

- 均匀GPA3.8/4.0

- 16%的学生有0-2年工作阅历,31%的学生有3-5年工作阅历,13%的学生有5-7年工作阅历,14%的学生有7-10年工作阅历,26%的学生有10年以上工作阅历

- 38%的学生年纪在25-29岁之间,23%的学生年纪在30-34岁之间,17%的学生年纪在35-39岁之间

- 7%的学生专业是数学/计算学,37%的学生专业是工程/理科,38%的学生专业是商科/经济学

课程设置

预修课程:

Linear Algebra and Matrix Analysis

Programming for Analytics

中心课程:

Introduction to Statistical Concepts

Research Design for Business Applications

Statis爱草tical Analysis

Database System Design and Implementation

Time Series Analysis and Forecasting

Data Mining Principles

Machine Learning and Predictive Analytics

Linear and Nonlinear Models for Business Application

商业战略/项目办理课程:

Leadership Skills: Teams, Strategies, and Communications

选修课程:

Financial Analytics

Marketing Analytics

Credit and Insurance Risk Analytics

Real Time Analytics

Data Visualization Techniques

Health Analytics

Linear Algebra and Matrix Analysis

Big Data and Text Analytics

Optimization and Simulation Methods for Analytics

Bayesian Methods

Digital Marketing Analytics in Theory and Practice

MS in Business Analytics哥伦比亚大学商业剖析硕士是工业工程与运筹学系(IEOR)和哥大商学院联合建立的,是哥大工程与运用科学学院以及商学院最新开设的研讨生项目。本项目共需完结36个学分(既12门3学分的课程),学生至少在IEOR部分修满6门课程,在商学院修4-6门课程,其他的课程能够在建筑学院,世界与公共事务学院,法学院或许经济、数学与计算学系进行选课。此项目学制为3个学期,能够在一学年内修完,学生能够挑选在第三个学期(夏日学期)完结一切课程,也能够将夏日用于实习等其他组织,在第二年的秋季学期完结一切课程。

请求关键

◇ GRE:请求硕士项目无需提交

◇ TOEFL: 最低要求99

◇ IELTS:最低要求6.5

◇ 面试:校园承受来自第三方组织的面试(可选)

◇ GPA: 最低3.0

课程设置

中心课程:

Analytics in Practice (starts first Fall semester, all-year course)

Optimization Models and Methods (taken first Fall semester)

Stochastic Models

Business Analytics (taken first Fall semester)

Tools for Analytics (taken first Fall semester)

Data Analytics for吴书晶 OR (taken first Fall semester)

Professional Development Leadership (MSBA)

选aftvc修课程:

Applied Consulting

Game Theoretic Models of Operations

Machine Learning

Data Mining

Analytics on the Cloud

Designing Digital Operating Models

OR Methods in Marketing

Big Data in Finance

Analysis of Algorithms

Analytics for Business Research

Sports Analytics

Game Theoretic Business Strategy

Demand and Supply Analytics

Big Immersion Seminar - Big Data

Applied Statistics and Data Analytics

Digital Healthcare Startups

Quantitative Pricing and Revenue Analytics

Pricing Strategies

Data Driven Dollars

Marketing Research & Analytics

Master of Business AnalyticsMIT商业剖析硕士是建立在Sloan商学院下的研讨生项目,本项目招生人数较少,16年此项目招生16个学生。此项目为全日制项目,白日授课,不承受转学,学生每年能够秋季入学,学制为1年。学生需完结五大科意图学习,其间包含1个极点项目(capstone project),1节项目课程,6节三学分的模块课程,1个研讨会,以及至少3节选修课。校园有专门的工作开展办公室组织活动,协助学生寻觅校友资源,完结工作方针。此交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍项目16年秋季初次招生入学。

请求关键

◇ 需求GMAT或GR

◇ TOEFL:无详细要求,主张不低于100分

◇ IELTS:可承受,无详细要求,主张不低于7.0

◇ 面试:一切选取的学生都需求经过校园的面试,面试代表请求材料经过了第一步审阅,可是收到面试告诉不代表取得选取。

◇ 工作阅历:均匀0-2年工作阅历

◇ 从前选取状况:

- 62%男性,38%女人

- 均匀GPA 3.9/4.0

- 75%的学生为世界学生,25%的学生为美国公民

- 37.5%的学生为数理专业,37.5%的学生为工程专业,13%的学生为人文专业,6%的学生为计算机科学专业,以及6%的学生为商科专业。

必修课程:

The Analytics Edge

Appli交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍ed Pr交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍obability and Stochastic Models

Analytics Capstone

Optimization Methods

Analytics Lab

Machine Learning

From Analytics to Action

选修课程:

The Economics of Information: Strategy, Structure and Pricing

Digital Marketing and Social Media Analytics

Enterprise Transformations in the Digital Economy

Financial Markets

Options and Futures Markets

Investment Management

Analytics of Finance

Metrics for Managers

Statistical Consulting

Marketing Management

Pricing

Marketing Analytics

Introduction to Operations Management

Supply Chain Planning

The Theory of Operations Management

Healthcare Lab: Introduction to Healthcare Delivery in the United States

Master of Quantitative Management杜克大学计量办理硕士是建立在Fuqua商学院下的全日制研讨生项目,招生人数在120-150人之间,项目每年7月开学,学制为10个月,需修满19门课程。学生需求挑选以下四个小方向的其间一个:金融、商场营销、判定和战略。10个月的学制包含5个6周长的小学期,课程设置首要有技能、功用、批评式思想与沟通三个方面,在最终一个学期学生要完结一个小组协作方法的极点项目(capstone project)。

请求关键

◇ 承受GRE和GMAT,无最低分数要求;

◇ TOEFL分数不低于90分,IELTS分数不低于7.0;

◇ 工作阅历无要求,可是要求不超越3年工作阅历;

◇ 需求面试

必修课程:

Business Fundamentals

Applied probability & Statistics

Business Communications

Data Infrastructure

Data Science for business

Critical Thinking, communication and collaboration

Decision analytics and modeling

Navigating organizations

Data visualization

Ethical & legal issues of data analytics

Capstone project

金融分支课程:

Introductory Finance

Financial reporting foundations

Intermediate finance

Derivatives

Fixed income securities

Financial risk management

商场营销分支课程:

Digital marketing

Market intelligence

Customer relationship management

Pricing

战略分支课程:

Empirical economic analysis

Operations analytics

Strategic management

People analytics

Forensics:

Financial reporting foundations

Financial statement fraud

Managing operational and informational risks

Fraud analytics

Master of Science in Analytics西北大学剖析硕士开设于McCormic工程学院之下,学制为15个月的全日制项目,每年9月开学,阅历秋、冬、春、夏、秋5个学季。每年招40人左右。项目包含8个月的实践项目、3个月的夏日实习和10周的极点项目。

请求关键

◇ GPA要求3.0以上

◇ 承受GMAT或GRE分数

◇ TOEFL不低于95分,IELTS不低于7.5分

◇ 无需面试

◇ 无工作阅历要求

课程设置

必修课:

Industry practicum

Everything starts with data

Introduction to databases & information retrieval

Predictive analytics

Introduction to java & python programming

Business communication & analytics consulting

Data mining

Analytics value chain

Data visualization

Analytics for big data

Introduction to data management for business intelligence

Deep learning

Capstone design project

Business value from analytics in the digital age

Text analytics

Internship

选修课:

Healthcare Analytics

Predictive Models for Credit Risk Management

Optimization & Heuristics

Social Networks Analysis

Master of Engineering-Operations Research

and Information Engineering康奈尔大学的工程学院设有运筹与信息工程专业,其间一个方向为数据剖析(Data Analytics),Ithaca主校区和Cornell Tech科技园校区都有招生。每年秋季入学,学制一年,需求修30学分,本专业下设七个方向。需求请求者本科修读过微积分、概率与计算,把握C、C++或Java相关技能。

请求关键

◇ 承受GRE,不承受GMAT

◇ TOEFL最低100,单项最低分数:写作20,听力15,阅览20,白话22;IELTS最低7.0

◇ 无需工作阅历

课程设置

中心课程:从以下三个模块的课程列表中修满12学分以上

Optimization Modeling Courses:

Revenue Optimization and Marketplace Design

Nonlinear Optimization

Discrete Models

Intro to Game Theory

Spreadsheet-Based Modeling and Data Analysis

老挝天气预报15天

Inventory Management

Optimization I

Optimization II

Topics in Linear Optimization

Optimization Modeling in Finance

Stochastic Modeling Courses:

Revenue Optimization and Marketplace Design

Intro to Financial Engineering

OR Tools for Financial Engineering

Inventory Management

Service System Modeling and Design

Prob and Stat II

Simulation Modeling and Analysis

Monte Carlo Simulation

Monte Carlo Methods in FE

Stochastic Processes

Intro to Engineering Stochastic Processes II

Financial Engineering with Stochastic Calculus I

Financial Engineering with Stochastic Calculus II

Credit Risk: Modeling, Valuation, and Mgmt

Quantitative Methods of Financial Risk Mgmt

Data Science and Statistical Modeling Courses:

OR Tools for Financial Engineering

Statistical Data Mining I

Learning with Big Messy Data

Information Theory, Probabilistic Modeling, & DeepLearning with Scientific & Financial Applications

Applied Time Series Analysis

Statistics for Financial Engineering

Machine Learning for Intelligent Systems

Machine Learning for Data Science

Linear Models with Matrices

Theory of Statistics

Data Mining and Machine Learning

Bayesian Data Analysis: Principles and Practice

Data Analytics方向选修课程:

从Data Science and Statistical Modeling列表中选修两门课

从以下Data Analytics范畴选修课中选修一门课程:

Algorithms for Markets

Introduction to Database Systems

Computational Techniques for Analyzing Clinical Data

Data Driven Analytics

Revenue Management

Web Scraping & Data Mining for Hospitality Dec Making

Real Estate Statistical Modeling

Visual Data Analytics for the Web

Marketing Research

Data-driven Marketing

Strategy and Tactics o由嬿丽f Pricing

Spreadsheet-Based Modeling and Data Analysis

Python Programming and its Applications in Statistics

Applied Design

Mult张榕蓉ivariate Analysis

Categorical Data

Nonparametric Inference and Sequential Analysis

Databases and Statistical Computing

Big Data Management and Analysis

MS in Business Analytics圣路易斯华盛顿大学的商业剖析硕士开设于Olin商学院下,之前是客户剖析硕士(Customer Analytics),现在客户剖析是此项意图一个分支,项目共有四个分支:Customer Analytics、Healthcare Analytics、Supply Chain Analytics、Financial Technology Analytics。学制17个月。请求人需求修读过微积分和计算学相关课程。

请求关键

◇ 承受GRE或GMAT

◇ 往届选取状况:

共选取48人,均匀年纪23岁,女生占69%,世界生占83%;

均匀GPA3.55,均匀托福107;

均匀GMAT725,均匀GRE Quant167,Verbal157;

课程设置

Customer Analytics分支:

根底课:

Fundamentals of Statistics and SPSS Programming

R Programming

中心课:

Database Design & SQL

Marketing Research

Data Analysis for Brand Management

Advanced Marketing Research

Marketing Strategy

Predictive Analytics for Business Decision-Making

Digital Marketing

Analytics-Driven Brand Management

Customer Analytics Using Probability Models

Professional Business Communications

Experimental Design

Intensive Industry Project

Quantitativ宿世的期盼春暖花开e Decision Making

MS in Analytics乔治城大学的剖析硕士开设于文理学院下,每年8入学,时长16个月,需求修满30学分。修读夏日课程能够最快12个月结业。要求请求人修读过微积分、线性代数、计算、计算机编程相关课程,鼓舞请求人修读过数据结构、算法剖析与规划相关课程。假如本科阶段没有修读过这些课程,可提早修读乔治城大学的夏日线上课程。

请求关键

◇ GPA最低3.0

◇ 承受GRE

◇ TOEFL最低100, IELTS最低7.5

◇ 2018年招生50-55人

请求关键夏日先修:

Advanced Programming Topics – Online (no credit)

秋季:

Introduction to Data Analytics (Core)

Analytical Data Visualization (Core)

Probabilistic Modeling and Statistical Computing (Core)

Written/Oral Tech Presentation (Elective)

Technology and Policy for Data Privacy (Elective)

Optimization (Elective)

Decision and Game Theoretic Analysis (Elective)

Natural Language Processing for Data Analytics (Elective)

春季:

Massive Data Fundamentals (Core)

Statistical Learning (Core)

Structures and Algorithms for Analytics (Elective)

Advanced Pattern Recognition (Elective)

MS in Business Analytics艾莫里大学的商业剖析硕士开设于Goizueta商学院下,每年8月开学,学制10个月,包含9门必修课和两门选修课。

请求关键

◇ 承受GRE或GMAT

◇ 需求本科修过微积分和计算学相关课程

◇ TOEFL最低100,IELTS最低7.0

◇ 无工作阅历要求

◇ 往届选取状况:

上一年接收37人,均匀年纪24岁,女生占34%,世界生76%;

均匀GPA3.44,均匀GMAT715,42%的学生有工作阅历;

学生本科专业:30%商科,30%经济学,19%数学,16%工程及计算机科学。

课程设置

必修课:

Business Analytics

Managing Big Data

Introduction to Data Analytics

Social Network Analytics

Machine Learning

Machine Learning II: Advanced Topic in Machine Learning

Data Visualization

Decision Analytics and Optimization

Capstone/Experiential Course

外加两门自在选修课

MS in Business AnalyticsUCLA的商业剖析是2017年新开项目,建立在Anderson办理学院下,11月开学,奥术神座漫画学时13个月,48学分,需求修6门中心课和4门选修课。

请求关键

◇ GPA最低3.0,GMAT期望710以上,GRE数学要求167以上,托福最低要求87,可是很少有低于100的学生被选取。雅思最低7.0。

◇ 期望请求者有很强的数理布景,修过微积分,线性代数,计算与概率等课程,还期望学生有计算机编程方面的阅历。不要求可是鼓舞有实习阅历。

课程设置

Math and Stats for Analytics

Business Fundamentals for Analytics

Customer Analytics

Supervised Project

R Programming Essentials

Data Management

Competitive Analytics

Internet Customer Analytics

SQL and Basic Data Management

Preive Models

Operations Analytics

Entertainment Analytics

Optimization

Industry Seminar

Healthcare Analytics

Capstone Analytics Project

MS in Business Analytics南加州大学的商业剖析硕士开设于Marshall商学院下,每年秋季入学,时长18个月,需求修11门课程,33学分,包含19.5的必修课和13.5的选修课。

请求关键

◇ 承受GRE或GMAT

◇ TOEFL最低100,单项不低于20;IELTS最低6.5,单项不低于6;

◇ 主张有工作阅历,无硬性要求

◇ 往届选取状况:

均匀年纪25岁

均匀GPA3.63

均匀GMAT722;GRE320,Quant166,Verbal154;

共选取72人,我国学生46人,

课程设置

必修课:

Business Analytics

Data Driven Decision Making

Communication for Management

Applied Modern Statistical Learning Methods

Statistical Computing and Data Visualization

The Analytics Edge: Data, Models, and Effective Decisions

Data Analytics Driven Dynamic Strategy and Execution/ Getting the Organization Ready for Big Data

Introduction to Data Management

选修课:

Database Systems

Probability and Data Modeling

Applied Time Series Analysis for Forecasting

Data Warehousing, Business Intelligence and Data Mining

Principles of Programming for Informatics

Monte Carlo Simulation and Decision Models

Designing Spreadsheet-Based Business Models

Fraud Analytics

Marketing Analytics

Foundations of Information Security

Digital Analytics Strategy

Application of Lean Six Sigma

MS in Commerce - Business Analytics弗吉尼亚大学的交易硕士开设在McIntire 交易学院下,其间一个分支是商业剖析。学制10个月,共需40学分。包含17学分的商科根底课程,15学分的商业剖析分支课程,以及8学分的GIE(Global Immersion Experience)课程,GIE归于本项意图特征,会结合学生所学习的商业交易常识,进行全球性的拜访沟通,为期三周,让学生才智到不同国家的商业运营形式和特征,沟通项目触及的国家遍及欧洲、拉丁美洲、东南亚等,其间还有我国。学生能够挑选自己感兴趣的国家。

请求关键

◇ 本科布景是文科、理科、工程类的学生都能够请求,唯一商科类专业布景不能够请求。(该学院开设的另一个项目M.S. in Global Commerce,承受商科学生。)

◇ 需求学生入学前修完三门前置课程:财务管帐概论、微观经济学原理、计算学概论。(有的学生会有定见,不让商科学生请求,非商撸丝片一区科学生怎样修管帐类课程?该学院供给了这门课的夏日网课,学生能够在入学前在网上修读这门课。)

◇ 托福最低100分,雅思最低7.5分。

◇ 从前选取状况:

接收120-125名学生,其间女生占40%,世界生占22%,商业剖析分支的学生占32%,中心80%的GPA为3.1-3.8,GMAT580-730。

请求关键

商科根底课:

Consulting to Management

Global Strategy and Systems

Financial Management

Strategic Cost Management

Financial Accounting

Marketing and Quantitative Analysis

Organizational Behavior

Business Communications

商业剖析分支课程:

Introduction 摸帅哥to business analytics

Customer analytics

Web analytics for e-commerce

Advanced quantitative analysis

特征课程:

Foundations of Global Commerce

Global Immersion Experience

Master of Information Systems Management

- Business Intelligence and Data Analytics卡内基梅隆大学的信息体系与公共政策学院下设有信息体系办理硕士,其间一个抢手分支为商业智能与数据剖析,每年8月开学,时长16个月,包含夏日实习。

请求关键

◇ 承受GRE或GMAT

◇ TOEFL主张单科25分以上,最低分数要求:阅览22,听力22,白话18,写作22;

IELTS主张总分和单项都在7以上,最低分数要求:听力、阅览、写作不低于6.5,白话不低于6.0,总分不低于6.5。

◇ 95%以上的请求者需求面试

◇ 往届选取状况:

共选取308人,年纪23-29岁,均匀GPA3.75;

GMAT中位数700;GRE的Verbal部分中心50%为151-158,Quant部分中心50%为161-168;

课程设置

必修课:

Machine Learning for Problem Solving

Advanced Business Analytics

Applied Econometrics

Unstructured Data Analytics

Distributed Systems for ISM

Database Management

Object-Oriented Programming in Java

Digital Transformation

Organizational Design and Implementation

Economic Analysis

Accounting and Finance Foundations

Decision Making Under Uncertainty

Statistics for IT Managers

Writing for ISM

Professional Speaking

Data Analytics Capstone Project

Summer Internship

MS in Business Analytics维克森林大学的商业剖析硕士开设于商学院下,每年夏日学期入学(7月),包含夏日、秋季、春季三个学期。学制10个月,共需求修37学分。

请求关键

◇ TOEFL最低107,IELTS最低7.5

◇ GMAT最低640,GRE最低310,GPA最低3.25

◇ 或许需求面试

◇ 从前选取数据:接收67人,GMAT均匀682,GRE均匀314,GPA均匀3.38,55%女生

课程设置

夏日课程:

Probability & Statistical Modeling

Intro to SAS

Intro to Programming with R

Career Management

秋季课程:

Analytics in Society

Data Management

Predictive Analytics & Data Mining

Business Metrics

Data Analysis & Business Modeling

Analytics in the Board Room

Data Visualization

Business Analytics Practicum I: Mess to Model

春季课程:

Process Analytics

Preive Analytics

Supply Chain Analytics

Marketing Analytics

Business Analytics Practicum II: Model to Insight

Forecasting

HR Analytics

Financial and Risk Analytics

Digital Marketing Analytics

Business Analytics Practicum III: Insight to Impact

MS in Business Analytics纽约大学的商业剖析硕士开设于Stern商学院下,每年五月入学,学时一年,学习地址触及美国,英国,我国三个国家。

请求关键

◇ 具有最少5年全职相关工作阅历

◇ 需求两次面试

◇ 承受GRE或GMAT,需求TOEFL

◇ 无官方GRE或GMAT及TOEFL分数要求

课程设置

Module 1: New York City, USA

Foundations of Statistics Using R

Digital Marketing Analytics

Data Science for Business Analytics

Dealing with Data

Decision Models

Module 2: London, UK

Data Mining in R

Data Driven Decision Making

Operations Analytics

Module 3: Shanghai, China

Data Visualization

Network Analytics

Decision Under Risk

Module 4: New York City, USA

Revenue Management and Pricing

Data Privacy and Ethics

Strategy, Change and Analytics

Module 5: New York City, USA

Strategic Capstone

MS in Business Analytics威廉玛丽学院的商业剖析硕士开设于Mason商学院下,每年秋季入学,时长10个月,需求请求者修读过以下相关课程:概率论与计算学, 线性代数, R言语, Python编程和商科根底课程。

请求关键

◇ 承受GRE或GMAT

◇ GPA最低3.25

◇ TOEFL最低100,IELTS最低7.0

◇ 主张有工作阅历,无硬性要求

◇ 需求面试

◇ 往届选取状况:

上一年接收88人,均匀年纪24岁;

均匀GPA3.49,均匀GMAT720;

0-3年工作阅历;

课程设置

必修课:

Competing Through Business Analytics

Optimization

Intermediate Probability & Statistics

Heuristic Algorithms

Machine Learning 1

Machine Learning 2

Databas南宁陈林菠e Management

Big Data

Data Visualization

Artificial Intelligence

Business Analytics Capstone

MS in Business Analytics布兰迪斯大学的商业剖析硕士开设在世界商学院下,是2017年新开项目。学制一年,需求修40学分。本项目培育方针是让学生将数据剖析和编程方面的才能运用到金融、商场和商业动态中。

请求关键

◇ TOEFL要求100分以上, IELTS要求7.0以上;

◇ 不需求工作阅历;

◇ 本科需求修过计算学相关根底课程,在80分以上;

◇ 需求提交一段视频(Vedio Essay),在视频中答复essay相关问题;

◇ 有或许需求面试

课程设置

中心课程:

Programming for Business Analytics

Applied Econometrics

Big Data I

Information Visualization

Accounting and Financial Analysis

Intermediate Financial Accounting

Big Data II

Consulting Project in Business Analytics

选修课程:

Marketing Analytics

Forecasting in Economics and Finance

Business Dynamics

Machine Learning cour交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍se

Computer Simulation & Risk Analysis

Applications of System Dynamics

Digital Marketing

Social Media & Analytics (Fall)

Supply Chain Analytics (Spring)

Marketing Research (Fall)

Advanced Econometrics I (Spring)

Internship in Business Analytics (2 credits) (Fall and Spring)

Corporate Financial Modeling (Fall and Spring)

Portfolio Financial Modeling (Fall and Spring)

MS in Business Analytics罗切斯特大学的商业剖析硕士开设于Simon商学院,每年秋季学期入学,学制分为10个月(不含实习)和17个月(含实习),需求修满40学分。

请求关键

◇ 承受GRE或GMAT,无最低分数要求

◇ 承受TOEFL或IELTS,无最低分数要求

◇ 往届选取数据:

共接收66人,男生占38%;

均匀年纪23岁;均匀工作阅历1.1年;

均匀托福分数106;

中心80%学生的分数段:GMAT 630-730,GRE316-330;GPA3.0-3.7。

课程设置

Pre-Fall:

Economics and Marketing Strategy for MS Students

Programming for Analytics

Job Search Essentials

Interpersonal Persuasion

秋季课程:

Core Statistics for MS Students Using R

Introduction to Business Analytics

Accounting and Finance for MS Students

Communicating Analytics

冬天课程:

Practicum in Business Analytics I

Advanced Business Analytics

Data Management for Analytics

Marketing Analytics Using R

Teamwork

春季课程:

Practicum in Business Analytics II

Social Media Analytics

Advanced Persuasion

(以下课程挑选2个)

Advanced Marketing Analytics

Advanced Information Technology

Advanced Business Mo艹立句deling

Supply Chain Analytics

Process Improvement

MS in Analytics佐治亚理工的剖析硕士开设于工程学院下,设有三个方向:Analytical Tools、Business Analytics、Computational Data Analytics,学制一年,需求完结36个学分,包含15学分中心课,15学分的选修课以及6学分的实习实践。期望请求者本科修读过微积分、计算、计算机编程的相关课程。

请求关键

◇ 承受GRE或GMAT

◇ 托福要求100,单项不低于19,不承受雅思成果

◇ 请求截止日期:1月1日

◇ 膏火:每学分$1,665课程设置Analytical Tools方向:

◇ Five statistics/operations research courses, including at least one in each area

◇ Data Analytics in Business

◇ Data and Visual Analytics

◇ Three additional electives

◇ Applied Analytics Practicum (could include approved applied analytics internshi交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍p)

Business Analytics方向:

◇ At least three business courses beyond the introductory core, including Data Analytics in Business

◇ Data and Visual Analytics

◇ Two statistics courses

◇ One operations research course

◇ Three additional electives

◇ Applied Analytics Practicum (could include approved applied analytics internship)

Computational Data Analytics方向:

◇ At least three computing courses beyond the introductory core, including Data and Visual Analytics (can also include Computational Data Analysis)

◇ Data Analytics in Business

◇ Two statistics courses (can include Computational Data Analysis)

◇ One operations research course

◇ Three additional elective爷爷撸s

◇ Applied Analytics P志广世纪集团racticum (can include approved applied analytics internship)

MS in Applied Business Analytics波士顿大学的运用商业剖析硕士开设于大都会学院下(Metropolitan),每年秋季入学,时长18个月,需求修40学分,包含32学分的必修课和8学分的选修课。

请求关键

◇ 承受GRE或GMAT

◇ TOEFL最低84,单项最低分数:写作22,听力18,阅览21,白话23。IELTS最低6.5,单项不低于6.5

◇ 主张有工作阅历,无硬性要求

◇ 往届选取状况:

均匀年纪25岁

均匀GPA3.63

均匀GMAT722;GRE320,Quant166,Verbal154;

共选取72人,我国学生46人,女士46人。

课程设置

必修课:

Business Analyt交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍ics Foundations

Operations Management: Business Process Fundamentals

Financial Concepts

Quantitative and Qualitative Decision-Maki岑宁儿脸上长的是什么ng

Specialization Courses

Enterprise Risk Analytics

Marketing Analytics

Web Analytics for Business

Data Mining for Business Analytics

选修课从大都会学院任选两门经导师同意的课程。

MSM - Business Analytics凯斯西储大学的商业剖析硕士开设于Weatherhead商学院下,每年秋季入学,时长11个月,需求修33学分。

请求关键

◇ 承受GRE或GMAT

◇ 承受托福和雅思,无最低分数要求

◇ 往届选取状况:

上一年接收21人,均匀年纪24岁,女生占48%,世界生81%;

均匀GPA3.3,均匀GMAT671,均匀GRE Verbal154,均匀GRE Verbal160;

均匀工作阅历2.52年;学生本科专业:29%商科,29%工程学。

课程设置

必修课:

Managerial Marketing

Statistics Foundation

Operations Management

Professional Development - I

Marketing Models and Digital Analytics

Operations Analytics: Deterministic

Data Mining & Visualization

Finance/Accounting

Professional Development - II

Advanced Marketing Analytics

Operations Analytics: Stochastic

Predictive Modeling

MS in Business Analytics杜兰大学的商业剖析硕士开设于Freeman商学院下,每年秋季入学,时长10个月,需求修36学分,包含19.5的必修课和13.5的选修课。

请求关键

◇ 承受GRE或GMAT

◇ 承受托福和雅思成果

课程设置

必修课:

Business Analytics Practicum I

Advanced Spreadsheet Modeling

Career Development and Planning Workshop

Business Analytics Practicum II

Business Analytics Projects I

Business Statistics and Modeling

SQL Database Fundamentals and Business Intelligence

Business Analytics Projects II

Modeling and Analytics

部分选修课:

Accounting Analytics

Advanced Energy Trading and Finance

Econometrics and Forecasting

Energy Fundamentals and Trading

Financial Modeling

Marketing Research and Analytics

Operations and Supply Chain Management

Organizational Research Methods and Analytics

Social Media and Online Marketing

学生也能够自在选修研讨生院其他范畴的课程

美国劳工部的劳工计算局会对美国各职业工作数据进行计算与剖析。办理剖析师、运筹剖析师、数据剖析师、商场研讨剖析师、物流交通标志,张亮-长高的黄金季怎能错失它!含钙量超牛奶10倍师等岗位,在未来五年均有超越20%的岗位需求量的添加,薪资水平也都在约8万美金至12万美金/年之间,远高于商业与金融范畴的全体年薪水平。经过根本数据,以及周围越来越稠密的大数据的气氛,咱们能够殷切感受到,商业剖析师或相关岗位会成为商业范畴里越来越重要的人物。

就国内而言,无论是电商仍是才智城市,越来越多的职业开端引进大数据这一理念和思想方法,衍生出了相当大的量化剖析岗的需求。因而,具有商业剖析学位的求职者哪怕是回国工作,也会具有十分多的时机。

作为交叉学科,商业剖析需求请求者一起具有商科布景以及数理布景。而现在国内外院校在本科阶段并不直接开设商业剖析这个专业,因而,商科专业布景的同学需求侧重补偿数学、计算、编程方面的课程和实践阅历。而数学、计算等数理布景的同学,则需求增强自己在商业剖析方向上的科研或许实习阅历,而且对自己的面试才能进行体系练习。

详细而言,学术方面,商业剖析专业期望或要求请求者至少能学过高等数学、线性代数各一年,学过概率论和计算相关常识,而且具有必定的编程才能,例如至少学过一些编程言语或许能运用一些数据剖析的程序软件等等。实践方面,比较符合商业剖析方向的科研项目或实习,包含但不限于信用卡用户行为剖析、新歌引荐体系、商务运营剖析与优化、网络数据剖析、微博“水军”辨识等等。

期望对我们请求商业剖析有所协助,更多美国留学问题,欢迎微信沟通:liuxue361。

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