Centre for Continuous Learning

The Diploma in Business Administration is forward looking data driven executive program designed to equip professionals with the analytical, technical, and strategic skills needed to transform data into actionable business insights This program bridges the gap between data science and business decision making, preparing graduates to lead in a digital, data centric economy.

• Objective


• Gaining a comprehensive understanding of core business disciplines like accounting, finance, marketing, and operations.
• Learning how to apply effective management techniques, including strategic planning, decision-making, and resource allocation.
• Understanding the complexities of the global market, including political, economic, social, and technological factors.
• Developing skills in leading and motivating teams, including effective communication, delegation, and conflict resolution.
• Enhancing the ability to analyze complex business situations and develop creative solutions.
• Learning Outcome


• Develop proficiency in data analytics, machine learning, and business intelligence tools.
• Apply statistical and computational methods to solve complex business problems.
• Enhance data driven decision making across finance, marketing, operations, and strategy
• Build capability in data visualization, predictive modeling, and data governance
• Foster critical thinking, communication, and ethical leadership in data practices.
• Core Modules
• Principles and Practices of Management
Develop your fundamental knowledge of the principles of management and key subject concepts.
• Marketing Fundamentals
Covers basic marketing principles such as market research, segmentation, targeting, branding, and consumer behaviour. Students learn how to develop marketing strategies and campaigns.
• Business Communication
Develops professional communication skills in writing, speaking, and presenting. Topics include reports, emails, presentations, and interpersonal communication in a business context.
• Organizational Behaviour
Examines individual and group behaviour within organizations. Topics include motivation, leadership, team dynamics, culture, and conflict resolution.
• Operations Management
Teaches how to manage business operations efficiently. Topics include supply chain management, production planning, quality control, and logistics.
• Research Methodology
Learn how to design and implement scientific research projects for the eventual completion of a research heterogeneous environments.
• Big Data Management (Optional)
Introduces students to the principles, technologies, and challenges involved in storing, organizing, and analysing vast volumes of structured and unstructured data
• Elective Modules


• Data Analytics
Develop an understanding of Data analytics. Introduces relational databases and SQL for querying, updating, and managing data stored in databases
• Advanced Excel for Data Analysis
Focuses on Excel functions, pivot tables, lookups, VBA scripting, and scenario modelling for data analysis in business environments.
• Social and Digital Media Analytics
Evaluate and assess opportunities and constraints of using social media data by applying the relevant metrics and tools
• Artificial Intelligence tools
Identify, implement, and recommend AI tools for for specific data science and data analytics problems.
• Data Science
Identify the potential harms of data collection, aggregation, and analysis, and learn ethics guidelines for data scientists.

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