Program Master of Science in Data Science School of Science and Engineering Tulane University - Shorelight

Master of Science in Data Science

Amerika Serikat

1

Apa yang akan saya pelajari?

The Master of Science in Data Science (MSDS) at Tulane University is an interdisciplinary program jointly offered by the Mathematics and Computer Science departments. The program integrates mathematics, statistics, computation, and data-driven methodology to prepare students for modern careers in data science, machine learning, and analytics across industry, government, and research sectors.Students are trained in probability, statistical modeling, algorithms, data management, machine learning, and scientific computing, developing both theoretical foundations and hands-on expertise. The MSDS program emphasizes a rigorous quantitative core combined with flexible electives that allow students to specialize in advanced computational and applied areas.The MS graduate advisors in Data Science (see the contact below) work closely with each student to design a personalized plan of study aligned with academic preparation and career goals

Saya termasuk departemen apa?

School of Science and Engineering

Pilihan kuliah

Purna Waktu (3 semester)

Biaya kuliah
US$42.560,00 (Rp 666.915.203) per tahun
Housing: $10,000
Tanggal mulai

Agustus 2027

Tempat

Tulane University - Shorelight

6823 St. Charles Avenue,

New Orleans,

Louisiana,

70118, South, United States

Purna Waktu (3 semester)

Biaya kuliah
US$42.560,00 (Rp 666.915.203) per tahun
Housing: $10,000
Batas akhir pendaftaran

01/11/2026

Tanggal mulai

Januari 2027

Tempat

Tulane University - Shorelight

6823 St. Charles Avenue,

New Orleans,

Louisiana,

70118, South, United States

Persyaratan masuk

Untuk mahasiswa internasional

Applicants must hold a bachelors degree in mathematics, statistics, computer science, engineering, or a closely related discipline. Admission is competitive and based on academic preparation in both quantitative reasoning and computation.

Minimum Requirements:

1. GPA of 3.0 or higher (on a 4.0 scale).

2. Evidence of preparation in:

- Calculus and Multivariable Calculus

- Linear Algebra

- Probability or Statistics

- At least one programming course (recommended: Python, C++, Java)

- Additional background in algorithms or data structures is recommended

Application Materials:

• Transcripts from all colleges/universities attended

• Personal statement describing academic interests and goals

• At least one letter of recommendation (optional but recommended)

4+1 Tulane Applicants:

• Minimum 3.5 GPA and adequate preparation in mathematics, statistics, and computer science coursework

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