ELECTRONIC COMMERCE AND MANAGEMENT

The primary objective of this program is to equip students with the theoretical and practical foundations of data science, as well as the ability to effectively integrate rapidly evolving artificial intelligence methods into data analytics processes. Within the scope of the program, students are expected to utilize modern statistical methods, machine learning, and artificial intelligence techniques in the processes of data collection, organization, processing, analysis, modeling, visualization, and interpretation.

 

The program aims to enable students to address complex data problems using an analytical and scientific approach, select appropriate methods and technologies, and develop creative and reliable data-driven solutions. Additionally, the program aims to equip students with the ability to evaluate their findings in accordance with ethical principles, effectively communicate them to diverse audiences, and apply the analytical solutions they develop to real-world problems.

The Department of Data Science and Analytics, as a strategic discipline at the heart of digital transformation, will become even more important in the future. As the volume and variety of data generated in virtually every sector continue to grow rapidly, the need for experts who can analyze this data and transform it into meaningful insights and value is also on the rise.

 

With the widespread adoption of artificial intelligence, machine learning, big data technologies, and automation systems, data science has evolved from being merely a technical field of study to becoming one of the key factors influencing organizations’ decision-making processes and competitive advantage. Graduates of the Department of Data Science and Analytics are equipped with the knowledge and skills to take on roles in diverse fields such as sustainable development, smart cities, digital health, financial technologies, and Industry 5.0.

 

Thanks to the department’s interdisciplinary approach and an educational philosophy that closely follows current developments, the goal is for students to adapt to evolving workforce needs and take on active roles in both today’s and tomorrow’s professions.

Graduates of the Data Science and Analytics bachelor’s degree program have access to a wide range of dynamic employment opportunities in today’s rapidly evolving digital transformation landscape. As data-driven decision-making processes gain importance across numerous sectors—including finance, healthcare, retail, manufacturing, energy, logistics, telecommunications, e-commerce, and the public sector—the demand for qualified professionals in this field continues to grow.

 

Graduates can take on roles such as data analyst, data scientist, business intelligence specialist, data engineer, machine learning specialist, and artificial intelligence specialist. They can also play an active role in developing and managing big data infrastructures, analyzing data, and generating meaningful insights to support decision-making processes. Graduates can pursue academic careers by continuing their education in master’s and doctoral programs or work as researchers in R&D centers.

The Department of Data Science and Analytics is ideal for candidates who possess quantitative thinking skills, embrace an analytical approach, are passionate about problem-solving, and have an interest in statistics, mathematics, and computer science. Students who enjoy working with data, closely follow technological advancements, think algorithmically, and seek to transform abstract concepts into concrete solutions can thrive in this program.

 

Students who are adept at both individual and team work, open to interdisciplinary collaboration, capable of innovative thinking, and committed to continuous learning can build a strong career in the field of data science and analytics. It is also important for candidates to be eager to develop competencies such as critical thinking, effective communication, and a sense of ethical responsibility, in addition to their technical skills.