Washington State University

Bachelor in Data Analytics - Computation

Pullman, United States 4 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • Applications currently open

About Bachelor in Data Analytics - Computation

Tuition is 29,072 USD per year. The application deadline for the Aug 2027 intake is Mar 31, 2027.

The Bachelor in Data Analytics - Computation at Washington State University is a degree program for students who want to learn about large-scale data analytics and high-performance computing. It's a bachelor's degree that takes several years to complete, and its main advantage is helping students develop predictive models used in various industries.

The curriculum includes subjects like large-scale data analytics, architectures, and high-performance computing. Students will develop skills in creating, managing, and exploiting big datasets, extracting information, and developing predictive models. The program also includes hands-on components to help students gain practical experience in computation.

Graduates of this program can work as Data Scientists, Software Engineers, Data Architects, Research Analysts, or IT Consultants. They can find jobs in industries like technology, finance, or research, and work for companies like Google, Microsoft, or NASA.

About Washington State University

Washington State University, located in Pullman, United States, is a dynamic institution that offers many advantages for international students. You will find a unique learning environment that empowers you to explore your academic passions, with opportunities to engage in impactful research across various disciplines. Founded in 1890, WSU has a legacy of excellence that sets it apart from other institutions.

Specifically, WSU focuses on fields like agriculture, health sciences, and technology, with 299 programs available for you to choose from. The university's research areas are diverse, providing you with the opportunity to delve into your interests and develop expertise in your chosen field. English is the primary language of instruction, and you will have the chance to interact with students from different backgrounds and cultures.

As a student at WSU, you will be part of a community of 28,581 students, including 2,053 international students, on a campus that offers many activities and facilities. You can engage in active student clubs, explore the local city of Pullman, and take advantage of the university's modern facilities. The location provides a unique blend of small-town charm and access to larger cities, making it an ideal place to study and grow. You will have opportunities to develop critical thinking and problem-solving skills, preparing you for success in your chosen career.

English Test Requirement

This program asks for IELTS 5.5-6.0. Here's what that's worth on the other tests universities accept, based on the official concordance tables:

Duolingo

English Test · fastest & cheapest

85–95

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TOEFL iBT
46–59
PTE Academic
42–49
CEFR level
B1/B2
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Equivalences are approximate — confirm the exact test and score the program accepts.

Bachelor in Data Analytics - Computation: Frequently Asked Questions

What are the fees for Bachelor in Data Analytics - Computation?
Tuition: USD 29,072 per year. Application fee: USD 75. Service fee: USD 100.
What are the entry requirements for Bachelor in Data Analytics - Computation?
Entry requirements include: Education: High School; Academic performance: Grade B-A (60-70%, GPA 2.5-3); English: IELTS 5.5-6.0; Minimum age: 18.
How long is the Bachelor in Data Analytics - Computation program?
The program duration is 4 year.
What is the application deadline?
The application deadline is 2027-03-31.
Is Bachelor in Data Analytics - Computation available online?
This is an on-campus program at Washington State University in Pullman.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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