Data Analytics + Gen AI
Develop practical capability in Excel, SQL and Python, then build dashboards and reports in Tableau and Power BI. Use GenAI to support analysis, documentation and insight communication.
Compare four live online programs covering data analysis, business decision-making, data science and applied generative AI. Each pathway has a defined duration, curriculum, project portfolio and career focus.
Choose the option closest to your career goal. We will show you the most relevant program to explore first; admissions can help you confirm the final fit.
Every program includes live instruction, weekly one-to-one mentorship and eight reviewed projects. The curriculum, technical depth and career direction differ by pathway.
Develop practical capability in Excel, SQL and Python, then build dashboards and reports in Tableau and Power BI. Use GenAI to support analysis, documentation and insight communication.
Apply analytics to KPIs, forecasting, customer behaviour, operations and strategy. Build decision-ready dashboards and complete a consulting-style business capstone.
Build Python and mathematics foundations before progressing through machine learning, deep learning, computer vision, NLP, MLOps and model deployment.
Learn how modern language models work, then build LLM applications, retrieval systems, multimodal workflows and AI agents using Python and production-oriented tools.
Use this overview to narrow your options, then review the full curriculum and prerequisites on the individual program page before applying.
The depth indicators describe relative curriculum emphasis; they are not admissions thresholds. Book free counselling if you would like an advisor to review your background and career goal.
You do not need to know every tool before choosing. Focus first on the problems, responsibilities and outputs that interest you.
Choose this direction when analysis, reporting and insight communication are central to your goal.
Choose this direction when business context matters as much as analytical tooling.
The most technical route, with a larger commitment to coding and mathematical foundations.
Choose this direction for LLM applications, retrieval systems, multimodal workflows and agents.
Review the prerequisites, learning format, fees and differences between pathways before you apply.
For someone starting from limited coding experience and aiming for analytical roles, Data Analytics + Gen AI is generally the most natural first comparison point. Business Analytics + Gen AI can also fit learners who already think strongly in business terms. Final fit should still depend on your background and role goal.
Data Analytics places more emphasis on working directly with data, analysis and reporting workflows. Business Analytics places more emphasis on translating business questions, KPIs and commercial context into analytical recommendations. Both involve analytical tools, but the centre of gravity is different.
Choose the deeper Data Science & AI path when predictive modelling, machine learning, deep learning and deployment are central to the work you want to do — and when you are prepared for substantially greater coding and mathematical depth.
No. They solve different learning goals. Generative AI concentrates on LLMs, prompting, LLM applications, retrieval and advanced GenAI systems. Data Science & AI has a broader classical machine-learning and deep-learning foundation, including computer vision, NLP and MLOps.
Every pathway includes live online classes, a maximum cohort size of 20, weekly one-to-one mentorship, eight reviewed projects, lifetime access to learning materials and class recordings for 12 months after completion. Weekday and weekend batches are available through monthly intakes.
Yes. Program fees are subject to GST and may be paid through up to 12 zero-interest EMIs. Admissions will confirm the final instalment amount, payment-provider terms and applicable taxes before enrolment.
Yes. Book free counselling to review your education, current role, coding experience, mathematical comfort and career goal with an admissions advisor before selecting a pathway.
Book a free counselling session to compare your background and career goal with the four pathways. An admissions advisor will respond within 12 hours during working hours.