Data Science for Industry and Society MA Programme

The demand for data skills has been growing at a rapid rate and will continue to progress for years to come. According to the World Economic Forum (WEF), Data and AI will experience the highest annual growth rate for job opportunities, at 41%. It’s no surprise that the need for these skills is greater than the ability to fulfil the requirements, hence the term “skills gap” that continues to be a hot topic throughout the job market.

How did we get here? WEF estimates that by 2025, 463 exabytes of data will be created each day globally. From the amount of data that people are creating each day, there’s no question that organizations need talented individuals to digest this data, discover patterns and make informed decisions. Job capacity for roles in data analysis, AI and machine learning is estimated to increase by 20 million by 2025.

Faculty of Mathematics and Computer Science, University Babeș-Bolyai Cluj-Napoca, with the largest doctoral school in Artificial Intelligence in Romania and a top ecosystem in information technology (IT), in cooperation with SAS, the global leader in Advanced Analytics and Business Intelligence Software solutions, and Banca Transilvania, one of the top banks in Romania, as a beneficiary and strategic contributor of the human resource in advanced analytics, inaugurate a new master program Data Science for Industry and Society.


The new academic program will strengthen and develop the Romanian IT ecosystem, capitalizing on the competitive advantages of the largest computer science faculty in Romania in domains like Artificial Intelligence, Big Data & High Performing Computing, Strategic Digitization and Cyber-Security.

The master program "Data Science for Industry and Society", that benefits from the prestigious SAS Academic Specialization Big Data Analytcs and Data Science, is a professional master program and aims to develop the professional and transversal skills of the students according to the European Qualifications Framework, preparing highly qualified specialists in the field of advanced data analysis, data science.

The Master Program covers the fundamental areas of the data analytics and data science:

  • programming Essentials for Data Processing/Computational Thinking in the context of data science
  • collect, model, and manage data effectively using best practice data-wrangling techniques
  • data visualization, machine learning, advanced visual text analytics, forecasting and predictive modelling
  • integration between open-source software (Python) and commercial software
  • data analysis by designing and utilising proven data analytics approaches
  • critically analyse and address the ethical and social issues of data analysis
  • internship program for top students of the Master Program provided by Banca Transilvania and SAS Romania

As a result of following the full curriculum, on top of digital badges that the students can benefit from the learning Master courses curriculum and the courses from SAS Skill Builder for Students, the Master program offers the students the opportunity to acquire industry certifications for data analysis.

The internship program developed in cooperation with Banca Transilvania offers the opportunity to practice the acquired skills and competencies and decide about the next steps of your career.

The program will be taught in English language.

More information about the admission process is available here (in English) and here (in Romanian).

Ethics Ethics and Academic Integrity in Data Science Programming Data Collection Data Analysis Prediction Applications Forecasting and predictive modelling Basics of Statistics Statistical Business Analyst Forecasting and optimization Machine Learning Specialist Natural Language Processing and Computer Vision Intelligent modelling Data Collection and Modeling Data Mining and Knowledge Discovery Data Visualisation Statistical computational methods Big Data Processing and Applications Intelligent tools for social good Advanced methods in data analysis Optimization models Intelligent algorithms in Bioinformatics Social Network Analysis Data Toolkit Programming Toolbox Do you want more? Do you want more? Do you want more? Do you want more? Do you want more? SAS Programming Specialist Interaction Design Computational Thinking yes yes yes yes yes no no no no no Project in Data Science Internship in Specialization (UBB, SAS, BT) Elaboration of the Dissertation Thesis Continue Continue