Overview
Bay Atlantic University’s Master of Science in Big Data Analytics is an advanced programme that prepares students for the dynamic field of data analysis. This course encompasses a total of 36 credit hours, which includes both core and elective courses, providing a robust foundation in data science principles and methodologies. Students will delve into the theories and practices essential for analysing vast datasets, gaining the ability to convert complex data problems into actionable insights. The curriculum is structured around a combination of theoretical knowledge and practical application, ensuring graduates are well-equipped to meet industry demands.
Why Big Data Analytics at Bay Atlantic University?Bay Atlantic University is recognised for its commitment to academic excellence and innovative teaching methods. The university boasts a strong ranking in the field of data analytics, backed by strategic partnerships with industry leaders, enhancing students' learning experiences. State-of-the-art facilities and access to a wealth of resources, including over 35,000 free full-text journals and 390,000 e-books, provide students with the tools necessary for successful research and study. Additionally, the programme is highlighted for its emphasis on real-world applications, ensuring that students are not only knowledgeable but also adept at applying their skills in practical settings.
Tuition Fee BreakdownThe tuition fee for the Master of Science in Big Data Analytics is set at USD 21,600 per year for both international and domestic students. This competitive pricing reflects the university's commitment to providing quality education accessible to a diverse student body. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the Master of Science in Big Data Analytics includes a blend of core and elective courses:
- Introduction to Big Data
- Data Mining
- Big Data Analytics
- Applied Statistics
- Business Intelligence
- Management Information Systems
- Internship
Students must select from a range of electives to tailor their education to their career goals, with options such as Artificial Intelligence, Technology Management, and Machine Learning.
Guaranteed Work ExperienceThis programme includes a guaranteed remote internship opportunity, allowing students to gain valuable industry experience while pursuing their studies. This hands-on approach enhances employability and equips graduates with practical skills sought by employers.
Careers with Big Data AnalyticsGraduates of the Master of Science in Big Data Analytics can expect to find themselves in a variety of roles across multiple sectors. Potential career paths include data analyst, data scientist, business intelligence analyst, and database manager, among others. Alumni have successfully secured positions in leading companies, contributing to data-driven decision-making processes in diverse industries.
Programme Structure
Courses include:
- Data Mining
- Big Data and Analytics
- Applied Statistics
- Business Intelligence
- Capstone Project
- Management Information Systems
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
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Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Washington, D. C., United States
Disciplines
Data Science & Big Data Data Analytics View 396 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Completed Online Application
- Undergraduate Transcripts (official or officially notarized copy)
- Photocopy of Government-Issued ID (international students need a passport, undocumented students need proof of residency)
- Application fee $45
- Bank Statement
Tuition Fees
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International Applies to you
Applies to youNon-residents22860 USD / year≈ 22860 USD / year - Out-of-State22860 USD / year≈ 22860 USD / year
-
Domestic
Applies to youIn-State22860 USD / year≈ 22860 USD / year
Living costs
Washington, D. C.
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Big Data Analytics.
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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