Artificial Intelligence (With/Without Thesis)

PURPOSE OF THE PROGRAM

Artificial Intelligence has been the core element of the field of informatics and information society in recent years, but it also remains intertwined and inclusive with many other fields too. The main objective of our Artificial Intelligence Master's programs (thesis and non-thesis) is to train artificial intelligence experts with scientific, technical knowledge and experience in artificial intelligence applications covering all fields so that they can follow the ever developing technology and offer appropriate solutions accordingly. In that respect, the program seeks to attract students who have graduated from computer, software and other related fields and get them trained in the field of artificial intelligence so as to equip them with the high workforce requirements in this field.


CAREER OPPORTUNITIES

In recent years, artificial intelligence applications have been rapidly expanding in every field, especially in production, banking and finance, health, services, trade, entertainment, art and design, education and public sector. We can call this phenomenon the Age of Artificial Intelligence. Therefore, a need for artificial intelligence experts in every field has risen. Artificial intelligence experts can work not only in organizations in the IT sector, but also in units related to IT applications in organizations in every sector. Graduates of the Artificial Intelligence Master's Program with / without thesis will respond to this need.


ELIGIBLE CANDIDATES

For admission to the Artificial Intelligence Master's Program with Thesis, students must have a bachelor's degree in computer sciences (Computer Engineering, Computer Science, Software Engineering, Information Systems, Information Systems Engineering, Information Technology, Computer and Instructional Technology, Business Informatics, Management Information Systems), certain engineering and science fields (Electrical Engineering, Electrical and Electronics Engineering, Electronics and Communication Engineering, Control Engineering, Mechatronics Engineering, Industrial Engineering, Mechanical Engineering, Civil Engineering, Mathematics, Mathematical Engineering, Operations Research, Statistics, Physics) or computer applications.


WHY BOTH A THESIS AND NON-THESIS MASTER'S PROGRAM?

Artificial Intelligence Master's Programs are offered as both thesis and non-thesis programs for to meet the requirements of both professional, research and academic lives.


DURATION OF THE PROGRAM

The duration of the Master's Program without thesis is 3 semesters. The Master's Program with Thesis is completed in a minimum of 4 semesters and a maximum of 6 semesters.


PROGRAM STRUCTURE

The non-thesis program consists of 10 courses and a Master's Term Project, while the thesis program consists of 7 courses, a seminar course and a Master's Thesis. 

The courses consist of compulsory courses and elective courses. Some of the courses are listed below:

  • Fundamentals of Artificial Intelligence
  • Current Research Topics in Artificial Intelligence
  • Programming Workshop
  • Data Structures and Algorithms
  • Data Science and Data Analytics
  • Data Warehousing and Mining
  • Big Data
  • Data Analytics in the Cloud
  • Human Computer Interaction
  • Information Security Management

PROJECT-ORIENTED LEARNING

The Artificial Intelligence Master's Program is conducted with the Project-Based Learning (PBL) approach.  Each course has a Project-Based Learning component and the student does one or more projects under the supervision of the instructor. The projects are done using specific tools, so that the student learns artificial intelligence tools on the subject of the project.


PROGRAM LANGUAGE

The language of instruction of Artificial Intelligence Master's Programs (thesis and non-thesis) is English. Candidates whose English level is not sufficient are required to attend the English preparatory program first.


APPLICATION AND EVALUATION

For applications, the online application form of the Institute of Graduate Programs must be filled in first.

Candidates applying to the Artificial Intelligence Master's Program with thesis must have a minimum score of 55 points in the Numerical (SAY) score type from the Academic Personnel and Graduate Education Entrance Exam (ALES). There is no ALES requirement for applications to the Artificial Intelligence Non-Thesis Master's Program.

Since the language of instruction of Artificial Intelligence Master's Programs is English, candidates applying to the program must have a valid exam result certifying their language proficiency. Applicants must have at least 60 points from YDS, YOKDİL exams or an equivalent score (TOEFL: 72, PEARSON PTE ACADEMIC: 55) from an international foreign language exam accepted as equivalent by ÖSYM. Candidates who do not have a result from the aforementioned exams can take the Beykoz University English Proficiency Exam, candidates who score 60 points and above fulfill the condition. Candidates who cannot provide an English proficiency certificate are required to attend the English preparatory program first.


CLASS LOCATION, DAYS AND HOURS

Classes are held at Beykoz University Kavacık Campus between 19.00 - 21.45 on weekdays and between 10:00-16:00 on Saturdays.

With the agreements that can be made between our university and institutions, a special program can be created only for the employees of the relevant institution who meet the above-mentioned admission requirements. In this case, the courses can be held partially or completely at a venue to be determined by the institution.


TUITION FEE

Click here for detailed information about the program tuition fee and payment terms.

English Preparatory Class is charged separately.



ACADEMIC STAFF

Coordinated by Dr. Lecturer. Prof. Dr. Özlem Feyza Erkan, Artificial Intelligence Master's Programs with/without thesis is conducted  through a strong academic staff. The academic staff consists of young academics with a good command of the current research topics of the field and experienced academics that stand out in their fields.

This content was updated on 06/06/2023.

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