As Artificial Intelligence (AI) and Information systems accelerate across industries, the demand for efficient data sets and analytics continues to grow. Data analytics engineers undertake the tasks of analyzing raw data, developing data sets, and increasing data reliability, efficiency, and quality. They combine raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Data analytics, which is a proven way for institutions and businesses to obtain the information they need to make better decisions, serve their customers, and increase productivity and revenue, is also very important for manufacturing companies. The most important point of data analysis for manufacturing companies is to reduce production costs. Data management gives companies the ability to learn from customer interactions, behaviors, and contextual information, create more effective actionable information, and apply insights more intelligently to optimize goals and improve business practices. The planned program aims to train expert, visionary, and innovative engineers who can manage all the processes detailed above.
Offered exclusively as a master’s and doctorate program at most universities, undergraduate-level Data Analytics Engineering graduates are still rare nationally and internationally. Establishing this program at Near East University will not only address this gap but also attract international students, creating numerous opportunities for both the institution and its students.
In the era of digitalization and informatics, data analytics is not only an advantage but also a necessity. Rapid developments in the field of technology; data complexity brings with it an exponential increase in the role of data in shaping strategies, understanding consumers correctly and directing innovation. This is not just about numbers and figures; it is about obtaining meaningful estimates that will accelerate transformation. It has become inevitable for senior managers of businesses and industries to get help from data analysis engineers to make conscious, high-risk decisions that they can use to direct their organizations to permanent success. In academic communities where every bit of information, from the most basic to the most complex, is of great importance, the importance of data analytics for the correct understanding, separation and interpretation of data is obvious. In addition, all stakeholders who want to shape the digital future of the business world can understand data analytics more clearly and make their strategies more compatible with the developing market dynamics, thus encouraging a knowledge-based, data-based decision-making culture that is vital for sustainable growth and competitive differentiation.
The program will emphasize interdisciplinary collaboration with other scientific and engineering fields, supporting the development of joint projects and innovative research.
Employment Opportunities
In general, data analytics engineers are engineers needed in almost every sector, including large insurance companies, credit bureaus, technology companies, banks, manufacturers, judicial bodies, universities, research centers, medical schools and government. Many technology companies, such as Meta and Google, need data analytics engineers to parse big data.
Internship opportunities and collaborations
The program includes a mandatory internship, allowing students to gain practical experience in industrial organizations, research centers, or institutes within the university, such as Günsel Otomotiv, the International Research Center for AI and IoT, the AI and Robotics Institute, or Near East Hospital. Students may also select external institutions related to their field, subject to approval.