General Information
The Big Data Analytics Program is an associate degree program designed to train qualified mid-level professionals needed in the rapidly growing fields of data analytics and data science. This program aims to develop individuals with knowledge and skills in big data management, data analysis, data mining, machine learning, business intelligence, and data visualization, as well as strong analytical thinking abilities. Most of the courses in the program are conducted in laboratory environments and using big data platforms. Through courses on data processing, data analysis, big data platforms (Hadoop, Spark), machine learning algorithms, and data visualization tools, students gain both theoretical and practical knowledge related to the profession. Additionally, thanks to the +1 Education Model, students have the opportunity to work full-time in companies for one semester, actively participating in data analytics projects, thereby gaining work experience in the world of big data.
Career Opportunities
Graduates of the Big Data Analytics Program can work in technology companies managing big data solutions and analytics projects, financial institutions, and research centers in various positions. They can serve as technical experts particularly in big data analysis, data mining, data visualization, machine learning, and business intelligence. They may also work as data science consultants, develop analytics projects independently, or establish their own businesses. In public institutions, graduates can find opportunities in data management, data analytics, and strategic data analysis positions.
Undergraduate Programs Eligible for Vertical Transfer
Graduates who successfully complete this associate program may, upon achieving sufficient scores in the Vertical Transfer Exam (DGS), enroll in related undergraduate programs such as Computer Engineering, Computer Science, Computer Technology and Information Systems, Computer and Instructional Technology Teaching, Computer and Software Engineering, Computer-Informatics, Information Systems Engineering, Information Systems and Technologies, Industrial Engineering, Statistics, Statistics and Computer Science, Control and Automation Engineering, Mathematics and Computer Science, Mathematics-Computer, or Software Engineering.
Big Data Analytics Program Courses:
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