Talk to ExpertBachelor of Science in Data Analytics at WSU Overview
International students can pursue Bachelor of Science in Data Analytics at UG level at Washington State University – Everette Campus. The duration of the course at the university is 4 years. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS and TOEFL to be eligible for the course. The University fees for international students for Bachelor of Science in Data Analytics is around USD 27,732 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- Supplies
- Utilities, etc.
Duration | 4 years |
Tuition & Fees | ₹24.59 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | UG Degree |
Bachelor of Science in Data Analytics at WSU Fees
The first-year tuition fee for the Bachelor of Science in Data Analytics at the Washington State University – Everette Campus is USD 27,732. Moreover, the fee structure for the Bachelor of Science in Data Analytics comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the Washington State University – Everette Campus.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual.
Check the detailed information on the Washington State University – Everette Campus Bachelor of Science in Data Analytics on the fee breakup, from the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 24,58,996 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,60,936 |
| Books & Supplies | INR 1,36,020 |
Calculated at the exchange rate of 1 USD = INR 88.67 | Tuition & expenses were last updated on 23ʳᵈ December 2024Download exam sample paper
Bachelor of Science in Data Analytics at WSU Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.7/4
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- A student needs to complete at least 12 years of school, culminating in an appropriate secondary certificate or external examination
- Schooling should include preparation in humanities, mathematics, basic sciences, and social sciences
- A minimum grade point average of 2.70 (on a 4.00 scale) is required for admission as an international freshman.
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%
- Marks - 79/120
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- Marks - 6.5/9
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- English Language Proficiency will be waived if applicants were schooled outside the United States at a school where the language of instruction was English (provide an official letter from the school stating English was the language of instruction while they attended)
- All students at WSU are required to complete a writing portfolio after reaching 60 credits, which is generally during the junior year
Bachelor of Science in Data Analytics at WSU Application Process
- Academic Transcripts (Official & Unofficial)
- Proof of English Language Proficiency
- Provide a copy of the identity page of your passport or national identification card along with your WSU application for admission
- Proof of finance
Bachelor of Science in Data Analytics at WSU Highlights
- Data analytics is the application of powerful new methods – drawn from computer science, mathematics and statistics, and domain sciences – to collect, curate, analyze, discover and communicate knowledge from “big data
- Washington State University is one of two research universities (and the only one west of the Mississippi) to offer an undergraduate degree specifically designed to prepare students for leadership in data analytics.
- Data analytics tools and techniques are used by many different industries to create, manage, explore, and analyze large, complex datasets, in order to evaluate past performance, predict future trends, and make better decisions
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