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MSc in Big Data and Business Analytics

Understand the Big Data, Drive the Innovation and Shape the Future


The Master of Science in Big Data and Business Analytics is a one year program which aims at training data scientists in the field of marketing, finance, and operations. It is a highly practical programme designed to equip graduates to drive business advantage using key analytical methods and tools for large-scale data analysis.

Data Science

Over the last decade there’s been a massive explosion in both the data generated and retained by companies.  In this context, the role of data science combining aspects of statistics, computer science, applied mathematics, and visualization has become importance. So, the data science can turn the vast amounts of data the digital age generates into new insights and new knowledge.

Data Scientists

There is significant and growing demand for data scientists with deep analytical and technical skills “who can ask the right questions and consume the results of analysis of big data effectively”. Data scientists take an enormous mass of structured / unstructured data and use their formidable skills in math, statistics and programming to clean and organize them. Then they apply all their analytic powers to uncover hidden solutions to business challenges.

Big Data and Business Analytics

According to Gartner, big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation. Companies of all sizes need a strategy for big data and a plan of how to collect, use, and protect it. In today’s business, companies use data and analytics to gain competitive advantage by taking the most accurate strategic and operational decisions.



Academic and Programme specific announcements

2021-2022 Fall Semester Applications have started

"MSc in Big Data and Business Analytics" 2021-2022 Fall semester applications have started. Don't forget to…

The tuition fee & sample payment plan

The tuition fee for the 2021-2022 academic year is determined as 45.000 TL (including VAT).…

2020-2021 Academic Calendar

Follow the details from below link:



Click the buttons to learn more about the courses!

1st Semester
/ order
  • Advances in Data Science (C)
  •  Applied Statistics (C)
  • Database Management and Big Data (C)
  • Business Analytics for Managers (C)
  • Mathematics for Machine Learning (E)
2nd Semester
/ order
  • Data Mining for Business (C)
  • Big Data Technologies and Applications (C)
  • Optimization and Decision Modelling (E)
  • Data Visualization and Communication (E)
  • Data Structures and Algorithms (E)
  • Simulation Modelling (E)
  • Recommender Systems (E)
  • Customer Analytics (E)
  • Web Analytics (E)
  • Pricing and Revenue Management (E)
  • Deep Learning Applications in Business (E)
3rd Semester
/ order
  • Machine Learning with Big Data (C)
  • Term Project (C)
  • Time Series and Forecasting (E)
  • Supply Chain Analytics (E)
  • Financial  and Risk Analytics
  • Text Mining for Business (E)
  • Heuristic Optimization (E)
  • Image Analysis (E)
  • IT Law (E)
  • Social Network Analysis for Business (E)
  • Reinforcement Learning for Business Applications (E)

The students should take 12 courses / 36 credits and prepare a term project for graduation.

* C: Compulsory | E: Elective

Academic Staff

Multidisciplinary structure involving instructors from Industrial Engineering, Informatics, Management Engineering and Economics



Istanbul Technical University
Faculty of Management
İTÜ Maçka Kampüsü, 34367 Maçka-İSTANBUL
+90 212 293 13 00 / 2073
Coordinator: Prof.Dr. Alp Üstündağ
Strategic Partner