BBA – Artificial Intelligence & Machine Learning
Students will graduate with the ability to design and apply AI and ML solutions that drive smarter business decisions.
They will gain hands-on competency in building intelligent systems, interpreting model outcomes, and leading data-driven initiatives — making them ready to bridge the gap between technology teams and business strategy in any organisation.
Electives
Foundations of Artificial Intelligence for Business - Overview of AI concepts, history, and commercial applications including NLP, computer vision, and automation.
Machine Learning: Concepts & Business Applications - Supervised, unsupervised, and reinforcement learning techniques applied to customer segmentation, forecasting, and fraud detection.
Data Management & Business Intelligence - Data lifecycle management, SQL, ETL pipelines, and BI tools (Tableau, Power BI) with focus on data governance and ethics.
AI Strategy, Ethics & Governance - Frameworks for responsible AI deployment covering algorithmic bias, explainability, regulatory compliance, and organisational governance.
Intelligent Systems Design & Capstone - Students work in teams to identify a real business problem, build an AI-enabled solution, and present it to a panel of evaluators. The capstone integrates learning from all previous subjects AI concepts, machine learning, data management, and ethics into a single end-to-end project. It develops technical execution, teamwork, and stakeholder communication skills, giving students a tangible, portfolio-ready deliverable before they enter the workforce.
Tools & Software
Python, TensorFlow, Kera’s, Scikit-learn, Jupyter Notebook, Google Colab, Orange (Data Mining), Weka, Hugging Face, Streamlit.
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