The program, which progresses in an integrated structure with fields such as big data, machine learning and artificial intelligence, provides its students with both technical and analytical thinking skills by supporting them with applied projects as well as theoretical infrastructure.
What facilities does the department have?
The Department of Data Science and Analytics offers its students advanced technical infrastructure and rich application opportunities:
Applied Laboratories: Equipped computer laboratories for data science and artificial intelligence applications,
Sectoral Collaborations: Internship and project opportunities with technology companies, banks, healthcare institutions and consultancy firms,
Research and Development Projects: Participation in TUBITAK and European Union supported data science projects,
International Programs: Education and research opportunities abroad through exchange programs such as Erasmus+ and Mevlana,
Career and Mentoring Support: Career counseling and individual guidance for post-graduate professional development.
In Which Fields Can Graduates Work?
Data Science and Analytics graduates can pursue careers in many sectors where data is at the core of decision-making mechanisms:
Positions: Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Expert, Algorithm Developer
Sectors: Finance, healthcare, e-commerce, energy, manufacturing, public, logistics, defense industry and technology companies
Job opportunities: Remote work, freelance projects, working in multinational companies, entrepreneurship and consultancy
Our graduates become leading actors of digital transformation by playing an active role in data-based strategic decisions.