Study Graduate Certificate in Computational Data Science at Wichita State University in the USA,

Graduate Certificate in Computational Data Science

USA

5

What will I learn?

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.

Study options

Full Time (1 Semester)

Tuition fees
US$24,940.00 per year
Start date

June 2027

Venue

Main Campus

1845 Fairmount St.,

Wichita,

Kansas,

67260, Midwest, United States

Full Time (1 Semester)

Tuition fees
US$24,940.00 per year
Start date

August 2027

Venue

Main Campus

1845 Fairmount St.,

Wichita,

Kansas,

67260, Midwest, United States

Entry requirements

For international students

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).

*There may be different IELTS requirements depending on your chosen course.

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