Master of Science in Christian Big Data and Business Intelligence (M.Sc.).
- Program: Master
- Location: Orlando, FL – USA
- Credits: 29
- Course load: 1,305
- Hague Apostille: $ 360.00 dollars * Optional for the student
- Thesis is delivered and analyzed remotely.
Admission Requirements
- Bachelor's or bachelor's degree/diploma;
- Photo identification document.
University Degree:
- Master of Science in Christian Big Data and Business Intelligence (M.SC.)
PROGRAM DESCRIPTION:
The Master of Science in Christian Big Data and Business Intelligence (M.Sc.) is offered within a Christian educational framework and is designed to develop advanced academic, analytical, and research knowledge in data science, big data, and business intelligence.
The program is intended for individuals interested in data analysis, information systems, and strategic decision-making, including professionals from business, technology, and related fields who seek to understand and apply data-driven approaches in organizational and social contexts.
PROGRAM STRUCTURE:
The program consists of academic coursework and a final research project (thesis), developed under continuous academic supervision and culminating in a formal evaluation. All academic activities are conducted in alignment with Christian values and ethical principles.
PROGRAM OBJECTIVE:
The program has a total workload equivalent to 1,350 to 1,530 hours, depending on the academic structure and specialization.
METHODOLOGY:
The program is delivered through structured modules, academic supervision, and research development, integrating scientific methodology with Christian ethical foundations.
Completion of course work:
- Thesis.
Grade curricular:
- M01 - Big Data and Data Science
- M02 - Business Intelligence
- M03 - Strategic Cost Management
- M04 - Digital Social Networks
- M05 - Decision Making
- M06 - Marketing Strategies
- M07 - Advertising and Publicity
- M08 - Quality Tools
- M09 - Reverse Logistics
- M10 - Credit and Risk Analysis
- M11 - Risk Management in Investments
- M12 - Dissertation Project
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