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工程与应用科学

分析学

 学校:  

佐治亚理工学院

   硕士生项目

Analytics MS

标准考试成绩要求

TOFEL:100

学年学制

暂无

学年学费

$1,206 /hr

奖学政策

提供奖学金

所在校区

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录取要求

TOEFL REQUIREMENTS
Institute Code: 5248
Minimum Score Required:

Paper-based: 600
Internet-based: 100, with minimum section scores of 19
GRE REQUIREMENTS
Either the GRE or GMAT can be taken
Institute Code: R5248
General Test: Required (unless GMAT general test is taken)

GMAT REQUIREMENTS
Either the GRE or GMAT can be taken
Institute Code: 5248

General Test: Required (unless GRE general test is taken)

Admission to the MS in Analytics is highly selective. We are looking for exceptional students with a strong interest in analytics and a high level of ability that has been demonstrated by past performance on appropriate coursework and/or by workplace experience as well as standardized testing. All applicants are expected to have basic background in mathematics (at least one college-level course or equivalent knowledge in calculus, probability/statistics, and some linear algebra) and computing (at least one college-level course or equivalent knowledge in computer programming using a high-level language like C, C++, Java, Python, FORTRAN, etc.), as well as a four-year bachelor's degree or equivalent. Applicants must submit either GRE or GMAT scores, a professional resume, a personal statement, and contact information for three people who will submit letters of recommendation. TOEFL scores (minimum score of 100) are also required for international applicants; Georgia Tech does not accept IELTS.

Applicants who do not have sufficient background in mathematics and computing may still be admitted, with the expectation that they either learn the necessary background material on their own before arriving, or take one or more preparatory courses such as MATH 1712, ISYE 6739, MATH 1553, and/or CS 1301 when they arrive on campus.

申请材料清单

Letters of Recommendation

Letters of recommendation are gathered online as part of our application. You'll be asked for the following information:

Names of two to three people to recommend you (varies by program; most require three references).
Institution or business affiliation of each person.
Email addresses.
Waiver. (Most applicants choose to waive their right to review the recommendations. Once you have submitted your application waiving your right to review, you can't change your decision.)
As you complete your online application, you will be asked to list your recommender's name and contact information. Your recommenders will then receive an email, inviting them to complete an online letter of recommendation. If you have any difficulty with the system, contact CollegeNet at help@applyweb.com, and have your user CollegeNet ID number handy.

Other Documents
You will have the option to upload additional supporting documents when submitting your online application (documents should be .pdf files). Note that if you do this, you will not need to mail your documents at this time. But if you are admitted, you will be asked to submit the official documents.

Secure electronic certified transcripts (E-transcripts) should be sent to transcripts@grad.gatech.edu. This is a special e-mail address only for secure electronic transcripts delivered via National Student Clearinghouse, eScrip-Safe, Parchment, and Truecopy Credentials. Please check with the registrar or records office at your college/university to see if they provide secure electronic certified transcript service. (Transcripts sent as email attachments are not accepted as official documents.)

Any documents that are not uploaded with your online application will need to be mailed in one envelope (with the name of the applicant as it appears on the application written on the front) to Graduate Studies. Please do not staple, clip, bind, brad, or tie your documents together. Leave all sheets loose, and stack them in order. This will speed up the processing of your application. Mail all documents to:

Graduate Studies
Georgia Institute of Technology
631 Cherry St., Room 318 

Atlanta, GA 30332-0321

Non U.S. Citizens/Aliens
Required

Official transcripts from all colleges and universities attended in your native language. Note that transcripts printed from your student account and degree audits or self-translated transcripts and transcripts from evaluation services (e.g., World Education Services or Josef Silny) aren't acceptable.
English translations of any transcripts submitted for review. If the institution won't provide a translated copy, translations done by a public translator (through your embassy or an apostille) will be accepted.
Native language degree documents, if awarded degree isn't noted on transcript(s).
English translations of degree documents submitted. If the institution won't provide a translated copy, translations done by a public translator (through your embassy or an apostille) will be accepted.
Official GRE/GMAT/TOEFL scores sent directly from ETS.
Recommended 

Unofficial copy of GRE/GMAT/TOEFL score sheets.
Resume or curriculum vitae.
 

截止申请时间:

Jan. 1

专业介绍

The Master of Science in Analytics is an interdisciplinary degree program that leverages the strengths of Georgia Tech in statistics, operations research, computing, and business by combining the world-class expertise of the Scheller College of Business, the College of Computing, and the College of Engineering. By blending the strengths of these nationally ranked programs, graduates will learn to integrate skills in a unique and interdisciplinary way that yields deep insights into analytics problems.

Georgia Tech offers two options for students seeking a Master’s in Analytics. The On-Campus Master of Science in Analytics Master of Science in Analytics program can be completed in one year, and includes “perqs” such as dedicated job placement assistance; on-campus analytics job fairs, and a conference travel budget. The Online Master of Science in Analytics program provides the option to complete the degree remotely in one to two years with the same access to the expertise of Georgia Tech faculty. For more information on the online program, please progress to the OMS in Analytics website.

推荐课程

  • CSE/ISyE 6740 Computational Data Analytics (Machine Learning)
  • ISyE 6402 Time Series Analysis
  • ISyE 6404 Nonparametric Data Analysis
  • ISyE 6405 Statistical Methods for Manufacturing Design/Improvement
  • ISyE 6412 Theoretical Statistics
  • ISyE 6413 Design of Experiments
  • ISyE 6414 Regression Analysis
  • ISyE 6416 Computational Statistics
  • ISyE 6420 Bayesian Statistics
  • ISyE 6783 Financial Data Analysis
  • ISyE 6810 Systems Monitoring and Prognostics
  • ISyE 7406 Data Mining and Statistical Learning
  • *CSE 6040 Computing for Data Analytics
  • *ISyE 8803 Introduction to Analytics Models
  • *MGT 8803 Introduction to Business for Analytics
  • CSE 6242 Data and Visual Analytics
  • MGT 6203 Data Analytics in Business
  • CSE/ISyE/MGT 6748 Applied Analytics Practicum
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