Data Analytics Master's non-Thesis English Programme started education in 2020-2021 academic year.

• The Master's in Data Analytics program aims to equip participants with the knowledge and skills necessary for understanding complex datasets, conducting analysis, and developing data-driven decision-making mechanisms. This program is designed to provide participants with a deep understanding of statistical methods, data mining techniques, and big data analytics. Students will receive education in an environment where they can bridge theoretical knowledge with practical application, enabling them to approach real-world problems with analytical perspectives and generate data-driven solutions. The program aims to empower participants with the ability to process, analyze, and visualize complex datasets, transforming information into meaningful insights. Additionally, it targets strengthening students' skills in approaching analytical problems using the latest industry technologies and methodologies. Upon completion of the program, graduates will possess a strong foundation in data analytics and analytical thinking skills, enabling them to meet the demands of the industry.

• Enhancement of Analytical Skills: To empower our participants with the ability to conduct effective analysis on large datasets and foster competence in analytical thinking. Application of Data Mining and Statistical Methods: To provide students with the capability to employ data mining techniques and apply statistical methods to comprehend data effectively. Problem-Solving for Real-World Issues: Our program aims to bridge theoretical knowledge with practical application, enabling students to generate data-driven solutions for real-world problems. Teaching the Latest Industry Technologies and Methodologies: To equip participants with the skills to stay updated with the latest developments in the field of data analytics and utilize technology and methodologies according to industry demands. Collaborative and Innovative Work: Providing students with the ability to collaborate within teams and fostering an environment where they can develop innovative, data-focused strategies.

Students who complete this programme successfully are granted Master of Science Degree in Data Analytics.

Second cycle (Master of Science)

Computing

4 Year Bachelor of Engineering Degree, Central Examination Score, Foreign Language Proficiency Score

Higher Education Postgraduate Education Regulations for students who want to transfer to Altınbaş University from higher education institutions in Turkey and foreign countries, Altınbaş University Graduate Education and the university with Education Regulations relating to transfer set by the Senate Assessment Terms apply.

In order to graduate from the 2 year master's program, students must successfully complete 7 courses (compulsory and elective courses), seminars and thesis with 21 credits. The total number of courses, seminars and dissertations in the program is 120 ECTS. In order for the student to graduate, the GPA should be at least 3.00 / 4.00.

Students aspiring to enroll in the master's program in data analytics are typically individuals with a strong background in computer science, statistics, mathematics, or a related field at the undergraduate level. The program is designed to prepare these students to tackle data-focused problems.

The student profile for this program also encompasses proficiency in programming, especially experience with widely used languages in data analytics such as Python or R. In addition to statistical and mathematical knowledge, students are expected to be adept in big data technologies and database management.

Furthermore, previous work experiences or internships are integral to the student profile, involving practical skills development through real-world data analytics projects. This supports the program's goal of combining theoretical learning with practical applications.

The program places a strong emphasis on enhancing students' communication skills and teamwork. Given that data analytics often requires collaboration among teams with diverse expertise, the program aims to equip students with effective communication and collaboration skills.

Academic achievements are also a crucial component of the student profile. Program managers take into consideration applicants' successful academic backgrounds in relevant undergraduate programs, accomplishments in previous projects, and career goals.

Lastly, students' motivations and career aspirations are included in the program's student profile. The program provides a roadmap explaining how students can progress in the field of data analytics and outlines potential career opportunities after graduation.

In addition to these elements, the program's offered courses, projects, and success stories of alumni contribute to presenting a compelling profile that communicates the value of the program to prospective students.

Graduated students hold a degree in a multidisciplinary and an interdisciplinary programme due to description of the programme. Hence, students have opportunity to work in any sector which involves data. In this context, it would be appropriate not to limit the occupational examples with a sector or sectors.

Students who graduated from non-thesis master's programs after 06.02.2013 do not have the right to apply for doctoral programs. However, they may apply for thesis-based master's programs provided they meet the requirements set by the Senate.

In order to graduate from this program, the student must successfully complete all courses. This degree is awarded to students who successfully completed all the courses in the program, earned a minimum of 90 ECTS credits under the non-thesis option with a GPA of at least 3.00 out of 4.00.

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Physics, Electrical / Electronics and Computer Laboratories of the Faculty of Engineering and Architecture can be used by the students of the department

Assoc.Prof. Dr. Dogu Cagdas ATILLA, Head of Data Analytics Department; Altınbaş Üniversity, Institute of Graduate Studies, Mahmutbey Dilmenler St., 34217, Bağcılar, İstanbul, Turkey, Tel:+90-212-6040100, cagdas.atilla@altinbas.edu.tr

• Assoc. Prof. Dr. DOĞU ÇAĞDAŞ ATİLLA