Overview
The online Master of Science in Data Analytics in Business at Seattle Pacific University is designed for individuals eager to excel in the field of data analytics. This programme offers a unique opportunity to learn how to gather, analyse, and interpret data effectively, enabling businesses to make informed, data-driven decisions. The curriculum is structured to accommodate both part-time and full-time students, allowing for a flexible learning experience that fits into your busy life.
With a completion time of 24 to 30 months, students can choose to engage in either online classes or attend evening sessions on campus. This flexibility ensures that you can tailor your education to your personal and professional commitments. The programme comprises 45 credits and is AACSB accredited, a mark of excellence that only 5% of business schools worldwide achieve.
Why Data Analytics in Business at Seattle Pacific University?Seattle Pacific University stands out due to its commitment to quality education and ethical practices. The School of Business, Government, and Economics has a rich history of excellence, having been established in 1977. The AACSB accreditation signifies a high standard of business education, and the programme is designed to equip students with the necessary skills to thrive in a competitive job market. Moreover, SPU is recognised as a Best Business School in the West by The Princeton Review, further highlighting its reputation for academic excellence.
The programme focuses on bridging the gap between business and data, preparing students for leadership roles in a data-driven world. Students will develop expertise in various areas, including data management, data mining, visualisation, and analytics, all while adhering to ethical business practices.
Tuition Fee BreakdownThe tuition fee for the Master of Science in Data Analytics in Business is USD 815 per credit. For a total of 45 credits, the overall cost amounts to USD 36,675. Additionally, there is a USD 50 application fee. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the MS in Data Analytics in Business is comprehensive and includes the following modules:
- Christian Values, Ethics, and the Marketplace
- Information: Ethics and the Common Good
- Managerial Communication
- Leadership in Organizations
- Leading in Diverse Contexts
- Responsible Leadership Consulting Practicum
- Intro to Data Analytics
- Database Management and Warehousing
- Knowledge Management and Business Intelligence
- Programming for Data Analytics: Python and Machine Learning
- Programming for Data Analytics: R
- Data Mining
- Data Visualization
- Big Data and Cloud-based Tools
- Marketing Analytics
- Decision-making with Business Intelligence and Analytics
Students also have the option to choose electives, further tailoring their education to their career goals. This diverse curriculum not only prepares students for immediate employment but also equips them with the skills necessary for long-term career advancement in the field of data analytics.
Careers with Data Analytics in BusinessGraduates of the Master of Science in Data Analytics in Business programme can pursue a variety of career paths. Potential job roles include:
- Data Analyst
- Big Data Architect
- Management Analyst
- Logistician
- Digital Strategy Manager
- Data Scientist
- Business Data Analyst
SPU’s robust career services support students in securing employment after graduation. The university has established connections with numerous organisations, and alumni have successfully found roles in leading companies such as Amazon, Tableau, Nordstrom, and Boeing. This extensive network provides students with valuable opportunities for mentorship and professional growth.
Programme Structure
Courses include:
- Christian Values, Ethics, and the Marketplace
- Business Ethics and the Common Good
- Managerial Communication
- Purpose-Driven Leadership
- Leading in Diverse Contexts
Key information
Duration
- Full-time
- 24 months
- Part-time
- 30 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Seattle, United States
Disciplines
Data Analytics View 401 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
- A bachelor’s degree from an accredited college or university.
- At least two letters of recommendation.
- Complete official transcripts from any college or university you’ve attended.
- A 3.0 or better GPA in your most recent 45 quarter credits, or in all undergraduate work.
- A passing score on the entrance exam for your program.
- Satisfaction of program-specific entrance requirements.
- Payment of the application fee of $50 or $75, depending on the program.
Tuition Fees
-
International Applies to you
Applies to youNon-residents18337 USD / year≈ 18337 USD / year - Out-of-State18337 USD / year≈ 18337 USD / year
-
Domestic
Applies to youIn-State18337 USD / year≈ 18337 USD / year
Living costs
Seattle
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics in Business (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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