自然科学

预测分析硕士

Master in Predictive Analytics

圣母大学

学院名称

暂无

专业编号

标准考试成绩要求
  • TOEFL100  

专业排名

预测分析硕士专业排名暂无排名 ,US News 2018

招生人数

全球范围内招收学生暂无,秋季 2018

学年学费

$51,264

奖学政策

提供奖学金

学年学制

11 Months

所在校区

暂无

录取要求

Hold a bachelor’s degree;

Complete course work in probability, statistics and computing with a grade of B or higher;

Demonstrate strong communication skills in the statement of intent (see below) and through courses in which written work is required;

Minimum GRE Analytical Writing score of 3.5;

Minimum Test of English as a Foreign Language (TOEFL) speaking score of 23 and a minimum total TOEFL score of 100;

Complete all steps of the admission process.

申请材料清单

立即申请

Submit a statement of intent through the online application system. Application to this program is through the Graduate School of the University of Notre Dame.

Submit a curriculum vitae or resumé through the online application system.

Submit unofficial transcripts from each post-secondary institution (upload through the online application).

Please note: transcripts may not be attached to the online application.

Arrange for three letters of recommendation to be submitted through the online recommendation system associated with the online application.

Take the Graduate Record Examination (GRE) and arrange for the submission of official general test scores. The scores reported must result from a test taken within the last five years.

International students whose native language is not English must submit Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) scores to demonstrate language proficiency.

Submit the application fee by credit card, check, or money order using the payment system associated with the online application.

截止申请时间:

3月28日

专业介绍

The predictive analytics specialty of the Master of Science in Applied and Computational Mathematics and Statistics trains students in the statistical and computational tools used in today's ‘big data’ business environment. Open to a small and carefully selected class of students, it is designed with both a sophisticated foundation and a practical eye. Students will learn how to build predictive statistical models and how to harness the power of large databases to make critical business decisions in real time.

课程设置

  • Applied Linear Models

  • Applied General Linear Models

  • Stat Methods in Pattern Recognition and Prediction

  • Time Series

  • Computing with Data

  • Advanced Computing with Data

  • Applied Probability

  • Elective

  • ACMS Elective

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  • 微信

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