University of Kansas · USA

Applied Data Science

Campus Full Time

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Delivery

Campus

Study mode

Full Time

Starts

Fall, Spring

Introduction

Applied Data Science is a program taught at University of Kansas, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

The Applied Data Science degree at the University of Kansas equips students with the essential skills needed to interpret and analyze large datasets effectively. The curriculum is designed to cover various aspects of data science, including data mining, machine learning, statistical analysis, and data visualization. Through a combination of theoretical knowledge and practical application, students learn to extract meaningful insights from complex data sets.

The course structure typically includes core subjects that provide a strong foundation in programming, statistics, and data ethics. Advanced electives allow students to specialize in areas such as deep learning, big data technologies, or predictive analytics. Furthermore, experiential learning opportunities, such as internships and capstone projects, are integrated into the program, allowing students to apply their skills in real-world scenarios.

By studying Applied Data Science in the United States, particularly at the University of Kansas, students benefit from access to cutting-edge research, industry partnerships, and a diverse academic community. This environment fosters a collaborative approach to problem-solving and encourages innovation in data-driven decision-making.

Admission Requirements

The minimum requirements for admission in Applied Data Science at University of Kansas for all applicants (Domestic or International) are:

program specific academic requirment set by University of Kansas.
English Language OR any other language requirments as set by University of Kansas as pre-requiste for admission in Applied Data Science.

Note: Please check the university website in the link below.

Applicants to the Applied Data Science degree program are expected to have completed secondary education with a strong background in math and science. A bachelor's degree in a related field such as computer science, statistics, or mathematics is generally favored. Furthermore, relevant work experience or internships in data-related roles may enhance the application.

International students must demonstrate proficiency in English. Typically, an IELTS score of 6.5 or a TOEFL score of 79 is required to ensure students can effectively engage with the coursework.