School of Data Science & Artificial Intelligence

Turn data into insight and intelligent systems using modern data science and AI tools.

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What You’ll Learn

By the end of the program, you will turn raw data into actionable insight and complete an end-to-end data/AI project.

  • Apply statistics, probability, and data literacy to frame and validate real analytical questions.

  • Clean, transform, and visualize datasets using practical Python data-science workflows.

  • Build and evaluate supervised and unsupervised ML models with methodical model selection.

  • Use modern AI tooling, including embeddings and LLM-based workflows, in practical prototypes.

  • Scope, implement, and present a complete data or AI solution from problem framing to stakeholder communication.

Prerequisites

Open to motivated beginners and transitioners who can commit to regular analytical practice.

  • Basic computer literacy and confidence using spreadsheets, browser tools, and online resources.

  • Curiosity for data, problem-solving mindset, and readiness for practical assignments each week.

  • Ability to study and communicate in English across lessons and project presentations.

  • Availability for at least 12 hours per week (live teaching, labs, and project development).

  • Laptop with stable internet and willingness to install/use Python and data tooling.

Program Curriculum

Capstone Project

You will complete an end‑to‑end data or AI project on a topic of your choice, demonstrating your ability to clean data, build models, interpret results, and communicate insights.

Certification Preparation

This program gives you a practical foundation for junior data and AI roles and sets you up for further study or vendor‑specific certificates in analytics and machine learning.