The Data Analytics in Business (Online) program at Seattle Pacific University is designed to equip students with the skills to collect, organize, and analyze data effectively. The curriculum emphasizes transforming raw data into actionable insights through purpose-driven leadership, ethical practices, and advanced analytics techniques, preparing graduates to make data-driven decisions that impact organizations and society.
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The Data Analytics in Business (Online) program at Seattle Pacific University is designed to equip students with the skills to collect, organize, and analyze data effectively. The curriculum emphasizes transforming raw data into actionable insights through purpose-driven leadership, ethical practices, and advanced analytics techniques, preparing graduates to make data-driven decisions that impact organizations and society.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
No Admission Requirement Available.
Starting 2025-09-01
Apply before 2125-04-18
Unknown
Courses include:Christian Values, Ethics, and the MarketplaceBusiness Ethics and the Common GoodManagerial CommunicationPurpose-Driven LeadershipLeading in Diverse Contexts
No English language requirements found.
Applicants must hold a bachelor’s degree from an accredited institution, submit at least two recommendation letters, and provide official transcripts. A minimum GPA of 3.0 in the most recent 45 quarter credits or overall undergraduate coursework is required. Additionally, applicants must pass the program-specific entrance exam and pay an application fee of $50 or $75, depending on the program. Meeting these criteria ensures eligibility for admission into the program.
₹72,348/Year
Annual Fee
2 years
Total Duration
No Living costs available.
No University Scholarships Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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