美国商业分析(BA)专业解析
分类:专家指南2018-01-20
商业分析(Buisness Analytics,简称BA)是最近几年兴起的一个热门留学专业,主要是以商业知识为基础,数理编程为手段,从数据分析出发,以决策优化来创造价值的新兴专业。很多同学会将这个新兴的BA专业与以往的商业分析(Business Analysis)混淆,虽然只有几个字母不同,但两个专业差别较大。
Business Analysis VS Business Analytics
Business Analysis属于传统商科,一般设在MBA下面,主要是分析整个公司的运营流程、开展的业务等方面,偏向于案例分析,以简单的数据分析为辅助。
Business Analytics则是一门新兴学科,核心是数据挖掘和数据分析,与现在的互联网及大数据(Big Data)相联,主要是利用高深的技术、模型和算法进行数据挖掘和商业分析,服务的公司都是像IBM、Google、百度、腾讯、阿里这样的互联网公司。
专业及课程设置
目前美国大约有30所学校开设了Business Analytics这个专业。从专业名称来看,大部分学校都是叫Business Analytics,有些直接叫Analytics,还有些叫Predictive Analytics。从设置的院系来看,这个专业多数设置在商学院下,如UT Austin, Rochester, MSU, GWU等,有些设置在工程学院下,如Northwestern,也有设置在信息学院下的,如CMU。一般设置在工程学院及信息学院下的项目,对数学背景和计算机背景要求都很高。
BA硕士绝大多数都是以就业为导向的,从贴合就业实际的Big Data--analytical work 角度来培养学生。课程也以实用唯多,基本是以 MIS(小的但是实用的编程(vba+sql),一些database 的知识等)+STAT(教你用统计软件/帮统计软件编程来自动分析等)+一些management 的知识。因此,大部分学校的课程上都会有 Data Analysis Programming、Data Analytics Optimization、Probability and Statistics、Calculus、Web Analytics 等等,相对的,在招生喜好方面,学校也表示鼓励数学、计算机、工程等背景的学生申请。
就业方向
BA的就业方向主要是当数据分析师和程序设计师。在不同行业中专门从事行业数据搜集、整理、分析,并依据数据做出行业研究、评估和预测。虽然这是一个较新的专业,但却有很好的就业前景。在大数据时代,很多行业都需要擅长挖掘和分析数据的人,例如IT、互联网、游戏、通信、金融、医药、咨询、零售等,因此BA的毕业生都比较抢手,而且薪资水平也较高。
院校推荐纽约大学(NYU)
NYU2013年就在Stern商学院开设了MS in Business Analytics,相对于其他学校来说开设时间比较早。这个项目时长1年,要求申请者必须有至少5年的全职工作经验,最好还有一定的管理经验,具备较高的定量分析能力。以往录取的学生多来自快消、能源、金融、医疗、工业、科技、咨询和NGO等行业。
|
录取条件 |
|
|
GMAT |
NA |
|
语言成绩 |
require TOEFL |
|
GPA |
NA |
官网http://www.stern.nyu.edu/programs-admissions/global-degrees/business-analytics
南加州大学(USC)
USC的BA硕士2014年才开设,虽然较为年轻但却已经在2016TFE美国商业分析硕士排名中已位列第一了。学制三学期共18个月,设在商学院,每年招收24个学生左右,属于STEM,有29个月的OPT。申请者最好有一定的工作经验,但不强制要求,如果没有的话,可能会是申请者的一个短处。。南加州大学因为地处洛杉矶,地理位置非常,再加上综排专排都非常不错,吸引了大批中国学生申请,竞争很激烈。想入读该校的BA项目,建议早点准备。
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录取条件 |
|
|
GMAT |
不设最低限,均分700 |
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语言成绩 |
托福≧100(单项不低于20),雅思≧6.5 |
|
GPA |
均值3.6 |
官网https://www.marshall.usc.edu/msanalytics
罗彻斯特大学(Rochester)
Rochester的BA专业设在著名的西蒙商学院,分为两种,一种11个月不带实习,一种17个月带实习。这个项目要求申请者拥有经济学或数学背景,去年录取的学生主要来自商科、经济、工程、数学与理学以及人文等专业。这个项目不强制要求全职工作经验,但去年录取的学生平均工作经验为1.4年。Rochester一般会这位学生提供Merit-based奖学金,自动随Offer发放,无需单独申请。
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录取条件 |
|
|
GMAT |
600-680 |
|
语言成绩 |
托福均分105 |
|
GPA |
3.06-3.68 |
官网http://www.simon.rochester.edu/programs/full-time-ms/academics/programs/marketing/index.aspx
德州奥斯汀分校(UT-Austin)
UT-Austin的BA可以排在前十,设在商学院信息、风险和运营管理系下面。项目时长为1年,每年招收60人左右,只接受夏季入学。这个项目要求学生有商科理工科背景,最好先修过代数、统计和概率论。该项目还与很多大企业有合作,比如沃尔玛和德勤,很多学生毕业之后都有机会直接进入这些合作的企业。
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录取条件 |
|
|
GMAT |
均分713 |
|
语言成绩 |
托福均分111 |
|
GPA |
3.0以上 |
官网http://www.mccombs.utexas.edu/Business-Analytics
伦斯勒理工学院(RPI)
伦斯勒理工学院是美国第一所理工学院,作为理工强校,BA专业也是一流。RPI的BA专业设在商学院,学制1年,不要求学生有工作经验,应届本科毕业生可直接申请。提供Merit-based奖学金(Scholarship),该奖学金无需申请,自动随Offer发放。
|
录取条件 |
|
|
GMAT |
required |
|
语言成绩 |
托福≧88,雅思≧6.5 |
|
GPA |
3.0以上 |
官网https://lallyschool.rpi.edu/ms-business-analytics
亚利桑那州立大学
亚利桑那州州立大学的BA项目设在商学院,提供全日制校园授课和远程教育授课两种形式,学制分别为9个月和16个月。全日制BA项目要求申请者拥有很强的数学和分析能力。被录取的学生来自商科、经济学、工程、社会科学、理科/数学等专业,平均拥有1.9年的工作经验。
|
录取条件 |
|
|
GMAT |
录取均分653 |
|
语言成绩 |
托福录取均分103 |
|
GPA |
均值3.5 |
官网 https://wpcarey.asu.edu/masters-programs/business-analytics
另外卡耐基梅隆(CMU)、麻省理工(MIT)等名校也开设了Business Analytics专业。CMU的BA项目开在信息管理学院下面,名称为Business Intelligence and Data Analytics。该项目时长为16个月,申请者必须有3年以上的工作经验,所有被录取的学生在开学之前,都要完成一门编程基础课。MIT的BA今年刚刚开设,具体录取情况还不清楚,但学费非常贵,一年75,000美刀,有兴趣的同学可以关注一下。
WUSTL
MS in Customer Analytics
学制:39 credit in three semesters
项目特点:
1.STEM (Science, Technology, Engineering and Mathematics) designation
2.Premier partnership with IBM, as well as faculty from WashU's schools of Engineering & Applied Science and Arts & Sciences, ensures curricula for big data and analytics merge both business and IT disciplines, giving you the mix of technical and problem-solving skills highly desired in the marketplace
3.Intensive industry projects guided by faculty give you hands-on practical experience
就业方向:
Upon graduation, you’ll be an analytics-driven business manager who is well versed to guide firms in the emerging era of big data and data-driven decision-making.
Additional opportunities exist at consultant companies with a heavy reliance on customer analytics. Organizations across the board will be searching for applicants trained in social media analytics.
课程设置:
Foundation Courses
All MSCA students are required to enroll in Foundation courses before beginning the program. This coursework is in addition to the 39 required credits and is Pass/Fail.
MKT 500R Fundamentals of Statistics and SPSS Programming (0.5)
Introduction to Marketing (offered online in Coursera)
Team Leada Online Courses (made available to students at no charge throughout the program)
How to A/B Test in R
Introduction to Machine Learning in R
Build a Web Scraper in Python
Fall A
MKT 555A Data Analysis for Brand Management (1.5)
Fall B
OMM 5705 Quantitative Decision Making (1.5) or MGT 550F during Spring semester)
MKT 555: Analytics-Driven Brand Management (1.5)
MGT 533 Managerial Communications (1.5)
Full Semester Courses
MKT 577: Marketing Strategy (3)
MKT 378 Marketing Research (3) or MKT 571A and MKT 571B during Spring semester
plus at least one of the following two courses:
Poli Sci 363 Quantitative Political Methodology (3)
MATH 475 Statistical Computation (3)
Electives include:
MEC 537 Data Analysis, Forecasting and Risk Analysis (3)
CSE 330S Rapid Prototype Development and Creative Programming (3)
CSE 131 Computer Science I (3)
CSE 417A Introduction to Machine Learning (3) or CSE 517A during Spring semester
Spring A
MKT 571A Marketing Research — 1 (1.5) or MKT 378 in Fall semester
MKT 500U Digital Marketing (1.5)
Electives include:
MKT 558 Pricing Strategy (1.5)
Spring B
MKT 571B Advanced Marketing Research (1.5) or MKT 378 in Fall semester
Electives include:
MKT 558B Pricing Decision Making & Implementation (1.5)
Semester-long Courses
Pol Sci 363 Quantitative Political Methodology (3)
MKT 500S Predictive Analytics for Business Decision-Making (3)
MKT 500T Customer Analytics Using Probability Models (3)
MGT 550F Critical Thinking Processes & Modeling for Effective Decision Making (3) or OMM 5705 during Fall 2016
Electives include:
CSE 330S Rapid Prototype Development and Creative Programming (3)
CSE 131 Computer Science I (3)
CSE 514A Data Mining (3)
CSE 517A Machine Learning (3) or CSE 417A during Fall Semester or Fall 2017
Fall Semester II (3 required credits plus electives)
Semester-long Courses
MKT 500Q Intensive Industry Project (3)
Electives include:
MATH 475 Statistical Computation (3)
MEC 537 Data Analysis, Forecasting and Risk Analysis (3)
CSE 330S Rapid Prototype Development and Creative Programming (3)
CSE 131 Computer Science I (3)
CSE 417A Introduction to Machine Learning (3) (or CSE 517A during Spring 2017)
申请截止日期:
October 1, 2015, January 5, 2016, March 26, 2016, Rolling admissions
Rolling admission is only available to U.S. citizens or permanent residents. If you intend to apply during rolling admissions, please email MSCAInfo@wustl.edu to confirm that seats are still available.
联系邮箱:toussaint@wustl.edu.
申请要求:
We review each applicant on a number of factors, looking for individuals with strong academic, professional, and extracurricular activities. We base our selections on your past performance, quantitative skills, and communication skills. To ensure diversity in each entering class, we admit students with various backgrounds, experiences, talents, and interests.
You must have completed an undergraduate degree from an accredited institution, comparable to Washington University's four-year bachelor's degree, at the time of enrollment in the program. Note: most international three-year degrees meet this requirement.
先修课要求:
Applicants to the Master of Science in Customer Analytics program are required to have taken Calculus I and II and Statistics.
录取分数要求:
MSCA Class of 2015 Profile
Full-time students 28
Part-time students 3
Median age 23
Average GMAT 702
Average GRE 319
Average GPA 3.50
Female students 65%
International students 84%
Average TOEFL 105
申请费:$100
申请材料:
Academic transcripts
GMAT or GRE
TOEFL or IELTS
Video Submission Requirement for International Students
Essay
Résumé:We recommend, and prefer, one page. For those whose achievements and professional experiences are bountiful (10-plus years), two pages are acceptable.
Application Fee
学费:
$75,205 ($28,925 each for semesters 1 and 2, $17,355 for semester 3)
University of Notre Dame
MS in Business Analytics
学制:30 credit hours over 12 months
项目简介:
In this program, you will learn to apply analytics techniques for “big data” including data mining, data storage and manipulation, data visualization, statistics, modeling, optimization, and simulation in a variety of business areas such as finance, operations, and marketing.
课程设置:
Opening Module (South Bend)
Introduction to Business Analytics 1.5
Module I
Data Management Tools & Techniques 2
Data Visualization & Exploration 2
Statistics for Management Decision Making 1 2
Module 2
Business Decision Modeling 2
Data Mining Tools & Techniques 1 2
Statistics for Management Decision Making 2 2
Intensive Case Module (South Bend)
Integrated Analytics Practices 1.5
Module 3
Data Mining Tools & Techniques 2 2
Ethics and Big Data Analytics 1.5
Financial Analytics for Business Decision Modeling 1.5
Predictive Analytics & Forecasting Models 1.5
Module 4
Marketing and Customer Analytics 1.5
Emerging Issues in Analytics 1.5
Operations Analytics & Process Improvement 1.5
Social Media Analytics 1.5
Capstone Module (Chicago/South Bend)
Analytics Capstone Project 2.5
申请截止日期:
Deadline Decision
May 15, 2016 June 30, 2016
July 15, 2016 August 31, 2016
October 1, 2016 October 31, 2016
•Resume
•Interview (to be scheduled by MSBA admissions team for qualified applicants)
•Official transcript(s) sent directly from the institution
•Two (2) recommendations
•One (1) essay
•Official TOEFL, PTE, IELTS Academic score report (non-U.S.students only)
•Active employment with a minimum of 2 years work experience
•The admissions team reserves the right to require the GMAT
申请费:$50.00
就业情况:
This situation could be daunting, but it also presents a tremendous opportunity for those bold enough to accept the challenge. The demand for leaders who can analyze data and - ultimately, make strategic decisions based on it - is increasing at a record pace. More than 1.5 million managers are needed in the U.S. alone according to McKinsey.
学费:
The tuition for our MS in Business Analytics program Class of 2018 is $59,214.
注意事项:
Important Notice: The Master of Science in Business Analytics program does not offer F-1 or J-1 student visa sponsorship.
The program is held on alternating weekends (Friday-Saturday) in order to fit the schedules of working professionals. The program does not provide internships or employment during the time students are not in class. Therefore, candidates seeking an F-1 or J-1 student visa are not eligible for the program. Greencard holders
