TOFEL:100分
11 Months
学年学费
$51,264
奖学政策
提供奖学金
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专业排名
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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.
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
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.