国际学生入学条件
Admission to the MS in Analytics is highly selective. We are looking for exceptional students with a strong interest in analytics/data-science 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) or IELTS scores (minimum score of 7.5) are also required for international applicants.
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雅思考试总分
7.5
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- 雅思总分:7.5
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:NA
课程简介
The Master of Science in Analytics is an interdisciplinary analytics and data science 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. The Computational Data Analytics track provides students with a deeper understanding of the practice of dealing with so-called ''big data'': how to acquire, preprocess, store, manage, analyze, and visualize data arriving at high volume, velocity, and variety.
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