Data Science and AI

This hybrid programme teaches the data science workflow from collecting data to deploying a model. Lessons are on campus two days a week and online three evenings. The final part covers how to use large language models responsibly with organisational data.

• Format: Hybrid (2 days on campus + online) · Level: Intermediate
• Length: 20 weeks, 20 hours a week (400 hours in total)
• Fee: 139.000 TL (VAT included, up to 12 instalments)
• Places: 20 · Prerequisite: Basic Python and high school maths; at least 4 correct on the level test

Technologies you will learn

• Python, NumPy, pandas
• SQL ve veri modelleme
• Matplotlib, Seaborn
• scikit-learn
• PyTorch’a giriş
• LLM API’leri ve RAG uygulamaları
• Streamlit ile yayınlama

Projects you will build

• An exploratory analysis report on sales data
• A credit risk classification model
• Time series forecasting with Eskişehir traffic data
• A document question-answering assistant (RAG)
• An end-to-end data product (Demo Day)

Who is it for?

People with a background in analysis, engineering, finance or research who want to work with data and know basic Python.

Applying

Applying for Data Science and AI takes three steps: the online form, the 10-question level test and a 30-minute intro interview with a programme adviser. You can download the detailed week-by-week curriculum as a PDF on this page.