Department of Mathematics was established as one of the first departments shortly after the foundation of EMU. At the beginning, its mission was just to provide service courses in Mathematics and Computer Science. Over the past 30 years, the department has been evolving to one of the biggest and most international departments of EMU. The Department has become one of the most scholarly and competitive mathematics departments in the Turkish-speaking region and the Middle East. The main aim of the department is to educate students in becoming competitive at the international arena and providing high quality educational and research services in their own countries. The Statistics and Computer Science Program is offered by the Mathematics Department.
General Information
The Statistics and Computer Science program is to provide students with a strong basis in the fields of both Statistics and Computer Science, and is to combine the two fields with the aim of train graduates who have the ability to perform advanced data analysis. Students attending the program will have the comprehensive knowledge of topics such as statistical analysis, probability, mathematics and computer science, and will be able to apply such skills in various different fields. By the virtue of the learning outcomes of the program, graduates will have the necessary skills to perform advanced data analysis which will play a vital role in future projections and strategic decision making in their professional lives.
The Statistics and Computer Science program trains students who have the skill of carrying a theoretical data into action in professional settings such as all state institutions with statistician staff, computer software companies, private research companies and especially in finance related companies and banks.
Education
Students of the program are required to obtain total credits of 129 (240 ECTS) in order to be able to graduate from the program and, are subject to an internship scheme within the scope of the course with STAT400 course code during the sixth semester of the program where the students are offered a setting with real life work experiences.
The courses parallel with the courses of the Applied Mathematics and Computer Science Program and Actuarial Science Program will be delivered as joint courses and, therefore the interaction between the programs will be enhanced. Double major opportunities offered to our students will provide the graduates better employment opportunities.
Facilities
Academic staff at the Department of Mathematics consists of 21 prominent academicians who have devoted themselves to teaching and research. More specifically, the academic staff members consist of 9 professors, 2 associate professors and 10 assistant professors. All full-time academic staff are PhD holders, granted the degrees from various prominent international institutions. Moreover, 12 part-time PhD holder staff members and 19 full-time research assistants (master and PhD) are also employed at the department.
Career Opportunities
The Statistics and Computer Science program graduates have the skill of carrying a theoretical data into action in professional settings such as all state institutions with statistician staff, computer software companies, private research companies and especially in finance related companies and banks. Graduates of the department have career opportunities in sectors such as marketing, advertisement, tourism, hospital management, human research and development sectors as well as seeking an academic career as a teacher in an event of completing a pedagogical formation training. Moreover, graduates of the Statistics and Computer Science program have the opportunity to continue their academic studies in post-graduate programs offered by statistics, computer sciences, actuary, actuary and risk management, insurance and actuarial sciences, insurance and risk management and, industrial engineering departments to become academic staff members in higher education institutions.
Contact
Tel: +90 392 630 1227
Fax: +90 392 365 1314
E-mail: math@emu.edu.tr
Web: http://math.emu.edu.tr