先贴一下录取BG: G免,T waive, GPA 3.84, Econ major+math minor 2+2陆美双本, coding: MATLAB + Python(coursera), 国内私募半年在职
感谢告知这个项目信息的暴暴=3=详情可以看这个帖子http://forum.chasedream.com/thread-1239062-1-1.html
然后扩散一下录取群:GWU Data Science 录取群 316087522 (Q)顺便打一下广告,欢迎关注微信公众号:MSBA留学汇
昨晚收到GWU DS的AD,5000刀奖,具体通知貌似之后会再发邮件。
宗排57,QS排名327,文理学院下的项目,stat USNews 54,地点华盛顿,选课自由,课程主要学Python, JavaScript and R,学费 45K+,summer上课的话时长1.5年。STEM有CPT和OPT。15年fall第一届所以还没就业信息出来。
UCONN BAPM的AD是12月24收到的,没奖。
宗排57, QS排名390, 商学院下的项目,商学院USNews 48,地点康州首府Hartford,课程设置据才子大大评价说水,学费30K,时长1.5年, STEM,14fall 就业率80%。
还申请了U of Miami的BA, 面试在3月份,现在还不知道结果。
宗排51,QS排名280,商学院下,商学院USNews 79, 地点 FL Coral Gables,课程主要学习matlab,minitab, R和SAS,学费45K+,时长9个月,STEM,14就业率81%,共11人,9留美就业,2回国
应该就是这三所学校之间做决定了,请路过的帮忙投下票!下面贴各个项目课程设置
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GWU DS
The Master of Science in Data Science requires 10 three-credit courses, with the following components:
three data analytics core courses
two data analytics elective courses
at least two domain/application
one Capstone Core Course
two additional courses in data analytics or domain/applications
The Certificate in Data Science requires four data science courses, at least two of which are core courses.
Data Analytics Core Courses (3 courses)
The three core courses below provide foundational knowledge in data science and should be taken during year one:
DATS 6101 Introduction to Data Science
DATS 6102 Data Warehousing and Analytics
DATS 6103 Introduction to Data Mining
Data Analytics Courses
Intermediate (choose at least 2 courses)
DATS 6201 Numerical Linear Algebra and Optimization
DATS 6202 Machine Learning I (Initially, cross list with PHYS 6620)
MATH 6522 Introduction to Numerical Analysis
STAT 6201 Mathematical Statistics I
STAT 6207 Methods of Statistical Computing
STAT 6210 Data Analysis
STAT 6214 Applied Linear Models
STAT 6216 Applied Multivariate Analysis II
STAT 6242 Regression Graphics/Nonparametric Regression
Advanced (choose 2 or fewer courses)
DATS 6203 Machine Learning II
STAT 6202 Mathematical Statistics II
STAT 6223 Bayesian Statistics, Theory and Applications
STAT 6289 Topics in Statistics
Domain/Application Area Elective Courses (choose at least 2 courses)
DATS 6401 Visualization of Complex Data
DATS 6402 High Performance Computing and Parallel Computing
DATS 6450 Topics in Data Science
ECON 8375 Econometrics I
ECON 8376 Econometrics II
ECON 8377 Econometrics III
ECON 8378 Economic Forecasting
GEOG 6304 Geographical Information Systems I
GEOG 6307 Digital Image Processing
PSC 8132 Network Analysis
PSC 8185 Topics in Empirical and Formal Political Analysis
Capstone Core Course (1 course)
DATA 6501 Data Science Capstone
This is a three-credit course in which students apply what they have learned in data science courses to address data-related complex problems in the real-world. Through various projects assigned by the faculty, students will have the opportunity to reinforce their knowledge in data science while enhancing real-world skills such as communication, teamwork and analytics.
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UCONN BAPM
The program requires 33 credit hours, including four 3-credit courses in Business Analytics, four 3-credit courses in Project Management, and 9 credit hours in elective courses. A copy of the program plan of study.docx can be found here. Other study options are possible. Please contact the program for advice. Business AnalyticsRequired courses (4): - Business Process Modeling and Data Management
- Predictive Modeling
- Business Decision Modeling
- Data Mining and Business Intelligence
Additional optional course: - Real-time Enterprise Data Integration and Audit
- Data Analytics with R
- Adaptive Business Intelligence
- Big Data Analytics with Hadoop
- Visual Analytics
- Analytical Consulting for Financial Services
- Gamification
Project ManagementRequired courses (4): - Introduction to Project Management
- Project Leadership and Communications
- Project Risk and Cost Management
- Advanced Business Analytics and Project Management
Additional optional course: - Ethical and Legal Issues in Project Management
- Managing International Development Projects
- Agile Project Management
- Graduate Field Study Internship
ElectivesElective courses can be chosen from the wide array of offerings in the School’s professional MBA program and may include experiential learning credits. With the approval of the Program Director, electives may include other University of Connecticut graduate programs. Please click here to see a choice of other electives.
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Miami BA
BUS 633 Business Plan Fundamentals and Communications (4 credits)
This course provides students with the fundamentals in the development and preparation of a business plan, as well as of oral and written business communications. Students, after exploring new venture opportunities, will develop a comprehensive business plan, including its functional components (marketing, finance, operational, human and intellectual capital plans), the support with which to secure the needed financial and human resources, and the organization to manage the new venture. Students will also enhance their communication skills with which to identify critical issues, develop reasoned positions, display data, use visual aids effectively, state persuasive and compelling arguments for written documents as well as prepared and impromptu speeches, and deal with the media.
MAS 639 Data Acquisition, Preparation and Visualization (2 credits)
This course teaches a variety of skills that are useful for anyone dealing with data. Data gathering is an often tedious and arduous job that is almost always overlooked in many courses. Once gathered, data typically includes mistakes, omissions, and inconsistencies that need to be dealt with before it can be used. There are significant issues that arise when similar data are acquired form different sources. Finally, data visualization capitalizes on human facilities for processing visual information and thereby improves comprehension, memory, inference, and decision making.
BUS 641 Capstone Project (2 credits)
The goal of this course is to combine many of the techniques learned in previous courses into a single coherent project. Students will work in groups of up to 4 people. The topic of the project can either be assigned by the instructor or chosen by the students according to their own preference. Projects chosen by the students require approval by the instructor within the first week of classes.
MKT 675 Marketing Analytics (2 credits)
More and more firms have come to realize that data is one their key strategic assets. This has made analytics an important subject for business majors. Two key areas where firms find analytics useful are in the domains of customer management and social media analysis. The goal of this course is to give you a hands-on experience with data and analytics and teach you how to draw strategic insights from data.
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