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MBA in Data Analytics
Overview
Data is no longer just a byproduct of business - it is the new currency of the global market and the ultimate key to future-proofing your career. The MBA in Data Analytics at Presidential Graduate School is designed to transform you into a strategic leader who can turn complex information into smart, actionable business decisions. Our intensive two-year, 60-credit full-time program exceeds standard curricula by aligning with global benchmarks. This ensures you graduate as a globally competitive professional, fully qualified for advanced academic endeavors.
At Presidential, your education is brought to life by competent instructors who are active industry experts. They bring real-world context and cases into the curriculum, sparking your curiosity to solve actual business problems. Because our classrooms include experienced working professionals, every lesson is enriched by the unique, practical insights they bring from their own careers.
Graduates of the MBA in Data Analytics are exceptionally positioned to thrive in the modern, digital-first economy. Backed by PGS's dedicated career support including tailored internships and robust job placements you will confidently step into high-impact roles across global industries, such as:
- Business Intelligence Analyst: Translate complex metrics into actionable strategies that drive market growth.
- Data Engineer: Architect and deploy scalable data pipelines to power enterprise analytics.
- AI Strategy Consultant: Drive algorithmic innovation and integrate advanced technologies into business frameworks.
- Chief Data Officer (CDO): Provide executive leadership and data-driven expertise to guide tomorrow's top organizations.
Highlights
To build a comprehensive foundation in data-driven leadership, the concentration focuses on critical areas driven by specialized coursework:
- Advanced Analytics & Visualization: Translate complex datasets into clear, strategic insights using tools from big data analytics and visualization and social media & web analytics for business.
- AI & Predictive Modeling: Harness the power of algorithms to forecast trends and drive innovation through artificial intelligence and machine learning, regression & time series models, and applied statistics for optimization.
- Data Infrastructure & Architecture: Build robust data ecosystems and manage scalable systems in data engineering, database design and management, and virtualization and storage.
- Technical Foundations for Leadership: Master the coding and quantitative frameworks necessary for modern business intelligence with python programming and statistical analysis for the decision-making process.
Program Content
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FIN 500Financial & Accounting Skills for Managers3 Credit Hours
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MKT 500Marketing Management3 Credit Hours
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ORG 500Organizational Behavior3 Credit Hours
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ECO 500Managerial Economics3 Credit Hours
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LDR 500Organizational Leadership3 Credit Hours
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MIS 500Managing Information Systems & Technology3 Credit Hours
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MGT 500Strategic Management in a Globalized Economy3 Credit Hours
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MGT 600Influential & Impactful Communication3 Credit Hours
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RES 600Business Research Methodology3 Credit Hours
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BUS 626Statistical Analysis for Decision-Making Process3 Credit Hours
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MIS 550Big Data Analytics and Visualization3 Credit Hours
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CLD 600Virtualization and Storage3 Credit Hours
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PRG 630Python Programing3 Credit Hours
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DATA 635Applied Statistics for Optimization3 Credit Hours
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DATA 615Social media and Web Analytics for Business3 Credit Hours
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EMT 600Artificial Intelligence and Machine Learning3 Credit Hours
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DATA 610Database Design and Management3 Credit Hours
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DATA 605Data Engineering3 Credit Hours
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DATA 630Regressions and Time Series Models3 Credit Hours
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CAP 600Applied Methods Capstone (Information Technology focused)3 Credit Hours
Learning Outcomes
What you'll learn
- Develop ethical and culturally sensitive strategic business communication skills to manage professional relationships in business environments
- Choose advanced data analysis techniques with ethical consideration to make strategic and informed business decisions
- Construct strategic business plans to enhance understanding of market trends, competitor analysis, and risk
- Devise innovative solutions that exemplify entrepreneurial thinking and foster a culture of innovation for business success
- Appraise strategic management applications and practices to transform organizations that can adapt to market demand
- Design predictive models and optimization frameworks using advanced machine learning, applied statistics, and time-series analysis to solve complex business challenges and forecast market behaviors.
- Architect scalable data infrastructures and visualization pipelines to ethically transform unstructured big data into actionable strategic intelligence for enterprise-level stakeholders.
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