OUR;
MISSION
Aligned with Bursa Technical University’s mission of "generating value for societal and sustainable development," our mission is to cultivate innovative and entrepreneurial data scientists who are adept at resolving complex challenges through the use of data science, artificial intelligence, and advanced analytical methods. We aim to empower individuals who possess rigorous analytical thinking and critical inquiry skills, who spearhead digital transformation by deriving strategic insights from data, and who remain steadfastly committed to ethical and legal standards.
VISION
In pursuit of leadership in science and technology, our vision is to become a pioneering and globally competitive department of choice, renowned nationally and internationally for excellence in data analytics and artificial intelligence research. We aspire to drive data-driven decision-making processes by forging robust partnerships with industry and public institutions, distinguished by superior research and innovation capabilities.
CORE VALUES
Innovation and Technological Leadership: To stay abreast of emerging technologies such as artificial intelligence, deep learning, and big data in accordance with the requisites of the digital age, and to engineer innovative solutions within these domains.
Data Ethics and Legal Responsibility: To foster societal trust by strictly adhering to personal data protection protocols, ethical principles, and IT law frameworks throughout data processing and analysis workflows.
Analytical and Critical Thinking: To prioritize the competency of constructing logical arguments and impartially scrutinizing information while extracting strategic intelligence from complex data sets.
Data-Driven Decision Making: To adopt rational and evidence-based models via advanced analytics and decision support systems, rather than relying on intuition, for resolving institutional and societal challenges.
Inclusivity and Open Science: To cultivate a collaborative research culture and contribute collectively to digital transformation by sharing generated data and knowledge with internal and external stakeholders.
Sustainability and Social Responsibility: To deliver value to future generations by leveraging data science as an instrumental tool in addressing global crises, such as climate change, and in supporting societal development.
Student-Centricity and Continuous Improvement: To bolster students' career planning and lifelong learning skills alongside their technical competencies throughout the educational process.
Meritocracy and Transparency: To uphold fairness in all academic and administrative processes and to maintain uncompromised transparency in data access and governance.
Entrepreneurship: To foster the potential for transforming data analytics projects into high-value technological products and ventures.
Interdisciplinary Collaboration: To develop multifaceted and holistic solutions by integrating data science across diverse fields, ranging from engineering to financial technologies.