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Istanbul Technical University

Data Science & Business Analytics
Certificate Programs

Hands-on certificate programs designed by ITU faculty, spanning from data analytics to Agentic AI.

2
Programs
174
Total Hours
26
Modules
2026
Term

Big Data & Business Analytics

A comprehensive program that develops data-driven decision-making competency across a wide spectrum from supply chain to finance, customer analytics to Agentic AI. Participants learn both classical analytics methods and cutting-edge AI technologies such as LLM, LangGraph, and multi-agent systems, designing systems that can autonomously solve business problems.

84 Hours 12 Moduls R + Python Capstone Project
Details & Registration

Program Coordinator

Prof. Dr. Alp Üstündağ

Faculty

Prof. Dr. Mehmet Güray Güler
Prof. Dr. Selim Zaim
Prof. Dr. Alp Üstündağ
Prof. Dr. Bülent Güloğlu
Prof. Dr. Başar Öztayşi
Prof. Dr. Behçet Uğur Töreyin
Doç. Dr. Ömer Faruk Beyca
Doç. Dr. Sefer Baday
Dr. Öğretim Üyesi Mehmet Yasin Ulukuş
Dr. Öğretim Üyesi Süha Tuna

Data Science

An advanced program providing deep technical competency in the Python ecosystem, spanning from scientific computing to deep learning, NLP to Agentic AI. Participants gain the skills to independently execute end-to-end data science projects, developing multi-agent systems with LangGraph and deploying interactive applications on Streamlit.

90 Hours 14 Moduls Python Capstone Project
Details & Registration

Program Coordinator

Prof. Dr. Alp Üstündağ

Faculty

Prof. Dr. Alp Üstündağ
Prof. Dr. Başar Öztayşi
Doç. Dr. Ömer Faruk Beyca
Doç. Dr. Sefer Baday
Dr. Öğretim Üyesi Mehmet Yasin Ulukuş
Dr. Öğretim Üyesi Mehmet Ali Ergün
Dr. Öğretim Üyesi Süha Tuna

Program Comparison

Compare the key features of both programs side by side to determine which one suits you best.

Feature Big Data & Business Analytics Data Science
Duration84 hours90 hours
Module Count1214
Target AudienceBusiness professionals, managers, analystsData scientist candidates, engineers, technical professionals
FocusBusiness problems + analytics toolsTechnical depth + model development
ApproachWhat, why, and where to applyHow to build, how to optimize
LanguagesR + PythonPython
Machine LearningIntroductory (6 hours)Advanced — 2 modules (12 hours)
Deep LearningConceptual intro (within ML module)Standalone module (6 hours)
Reinforcement Learning6 hours
NLP & Time SeriesStandalone module (6 hours)
MLOpsStrategic overview (in intro module)Implementation level (MLflow, FastAPI)
StreamlitIn capstone projectStandalone module + capstone
Domain ApplicationsFinance, supply chain, customer, web/social mediaDomain-agnostic
Agentic AI / LangGraph
LLM API Integration
Capstone ProjectCustomer analytics focused (12 hours)Open topic (12 hours)

Frequently Asked Questions

Common questions and answers about our programs.