DBA Courses
.Data and Decision Sciences.
DBA in Business Intelligence and Data-Driven Decision Making
Overview
This DBA program integrates cutting-edge business intelligence (BI) methodologies, big data analytics, and decision science. Students will learn how to leverage data for competitive advantage, enhance decision-making processes, and foster business innovation. The program includes coursework and practical research that explores the application of data in areas such as finance, marketing, operations, and supply chain management.
Duration: 3 to 5 years (Full-time or Part-time).
Learning Method: Online, face-to-face, or hybrid.
Objective: To produce thought leaders capable of using business intelligence and data analytics to drive performance, strategy, and innovation in organizations.
Minimum qualification: A Master's degree in Business Administration, Data Science, Information Technology, or a related field. A minimum of five years of professional experience in data analytics, business intelligence, or a strategic decision-making role.
Recommended Background: Strong understanding of business operations and strategy. Experience in data management, analytics, or IT systems integration is beneficial. Familiarity with statistical analysis and business performance metrics is an advantage.
1. Data-Driven Decision Making: Develop strategies for making better business decisions using data insights.
2. Business Intelligence Systems: Learn about the design, implementation, and optimization of BI systems.
3. Predictive Analytics and Modeling: Study how to build and apply predictive models for business forecasting.
4. Big Data and Cloud Analytics: Understand how to harness big data and cloud computing to enhance decision-making processes.
1. Advanced Data Analytics Skills: Ability to analyze large datasets and derive actionable insights for business decision-making.
2. Strategic Decision Making: Expertise in making data-driven decisions that align with organizational objectives and goals.
3. Business Intelligence System Development: Proficiency in the design and implementation of BI systems for optimized performance.
4. Leadership in Data-Driven Organizations: Gain leadership skills to manage data-centric teams and initiatives in a variety of industries.
Graduates can work in roles such as:
1. Chief Data Officer (CDO)
2. Business Intelligence Director
3. Data Analytics Consultant
4. Strategic Business Analyst
5. Decision Support Manager
6. Chief Information Officer (CIO)
Industries: Corporate businesses, consulting firms, financial services, marketing agencies, technology companies, healthcare organizations, government, and non-profits.
Module Guide
1. Foundations of Business Intelligence: Understand the principles, tools, and techniques of BI in organizational contexts.
2. Data Analysis and Decision Making: Learn statistical methods and decision science for data interpretation and informed decision-making.
3. Business Strategy and Analytics: Explore the strategic use of data analytics to inform business decisions at various levels.
4. Data Governance and Ethics: Study the ethical considerations and governance structures needed for responsible data management.
1. Predictive and Prescriptive Analytics: Learn how to build models for forecasting trends and making data-driven predictions.
2. Big Data and Cloud Computing: Explore how big data technologies and cloud computing are used in modern analytics solutions.
3. Business Intelligence Tools and Technologies: Gain proficiency in BI platforms like Tableau, Power BI, and SAS for data visualization and reporting.
4. Data-Driven Organizational Transformation: Study how organizations can transform by implementing data-driven strategies and processes.
1. Advanced Data Analytics and Machine Learning: Investigate advanced analytics techniques, including machine learning and AI applications in business.
2. Data-Driven Decision Support Systems: Design decision support systems (DSS) that enhance business decision-making processes.
3. Capstone Research Project: Conduct original research on a real-world problem using data-driven decision-making methodologies and business intelligence tools.
4. Dissertation Defense: Present and defend a dissertation that demonstrates expertise in business intelligence and data-driven decision making.
Course Fees
Fees for domestic students are $30,000 per year. The cost reflects the comprehensive learning resources, industry exposure, and high-quality education provided. Flexible payment plans and installment options are available.
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