BBA – Business Analytics
Students will develop the confidence to turn raw data into clear, actionable business decisions.
They will walk away with practical skills in statistical analysis, visual storytelling, and predictive modelling — equipped to solve real problems across marketing, finance, and operations and communicate findings convincingly to any audience.
Electives
Statistical Foundations for Business Analytics - Probability, hypothesis testing, and regression analysis with applied exercises in Excel and R across finance and marketing contexts.
Predictive Analytics & Forecasting - Time-series forecasting, decision trees, and ensemble models used for demand planning, credit risk, and sales projection.
Data Visualisation & Analytical Storytelling - Designing dashboards and visual narratives using Tableau and Power BI to communicate insights to non-technical stakeholders.
Marketing Analytics & Consumer Insights - Customer segmentation, A/B testing, attribution modelling, and sentiment analysis applied to CRM and digital marketing data.
Decision Science & Optimisation - Linear programming, simulation, and multi-criteria analysis to optimise pricing, resource allocation, and portfolio decisions.
Tools & Software
R, Python (Pandas, NumPy), Google Looker Studio, Apache Superset, Excel (free web), JASP, KNIME, Google Analytics, SQL, Orange.
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