Program Graduate Certificate in Computational Data Science Wichita State University

Graduate Certificate in Computational Data Science

Amerika Serikat

2

Apa yang akan saya pelajari?

Wichita State's graduate certificate in computational data science is designed for students with backgrounds in computer science, computer engineering, electrical engineering or other related fields. You'll gain a strong understanding of fundamental data science principles and their application. And you'll acquire in-depth knowledge on data science tools, analytical workflows, machine learning algorithms and predictive modeling.The 12-credit-hour certificate comprises courses in the areas of data science, machine learning, database systems, artificial intelligence, deep learning and data mining.

Pilihan kuliah

Purna Waktu (1 semester)

Biaya kuliah
US$24.940,00 (Rp 390.809.802) per tahun
Batas akhir pendaftaran

30/09/2026

Tanggal mulai

Januari 2027

Tempat

Main Campus

1845 Fairmount St.,

Wichita,

Kansas,

67260, Midwest, United States

Purna Waktu (1 semester)

Biaya kuliah
US$24.940,00 (Rp 390.809.802) per tahun
Tanggal mulai

Agustus 2027

Tempat

Main Campus

1845 Fairmount St.,

Wichita,

Kansas,

67260, Midwest, United States

Persyaratan masuk

Untuk mahasiswa internasional

Earned a bachelors degree from a regionally accredited institution or a recognized institution in another country whose requirements for the bachelors degree are substantially equivalent to a U.S. bachelors degree. The basis on which credits are awarded for the bachelors degree must be consistent with the policies and procedures for the award of such credit at Wichita State; andAchieved a grade point average of at least 2.750 from a U.S. institution, or its equivalent from a foreign institution, and no background deficiencies in the desired field of graduate study. Students with background deficiencies may be admitted on a conditional basis. In certain instances, the GPA may be based on the last 60 credit hours of coursework (or nearest semester or term break to this).

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