BIG DATA ANALYTICS ASSOCIATE`S (SHORT CYCLE) DEGREE PROGRAMME
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| Qualification Awarded |
Length of Programme (Year) |
Total Number of ECTS Credits |
Type of Education |
Level of Qualification & Field of Study |
Associate (Short Cycle) Degree
|
2 |
120 |
Full Time |
- TQF Qualification Type: Associate Degree
- TQF, TQF-HE, EQF-LLL, ISCED (2011): Level 5
- QF-EHEA: Short Cycle
- Yönelim: Vocational
- Sınıflandırma (ISCED 2013):054,061 Temel Öğrenme Alanı:46,48,52
- Kategori: Ana Yeterlilik
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With the acceleration of digitalization today, data has become a strategic resource in all sectors. Institutions and organizations need experts who can accurately analyze big data, extract meaning from it, and integrate it into decision-making processes to gain competitive advantage. Therefore, developing competent individuals in the field of big data has become one of the most important educational objectives of our time.
The Big Data Analytics Program was created to address this need and aims to equip students with the knowledge and skills necessary for today`s requirements in subjects such as data science, data analytics, database management, data visualization, machine learning, and artificial intelligence. The program curriculum is constantly updated in line with current technological developments in the field and structured to meet industry expectations.
The Big Data Analytics Program, which accepts students based on the TYT score type, offers a comprehensive learning process supported by practical training opportunities to train qualified data analysts for the industry.
Vision of the Big Data Analytics Program
To become a distinguished and leading program that contributes to digital transformation, is recognized nationally and internationally for its innovative educational approach, strong industry partnerships, and commitment to ethical values, and plays a pioneering role in advancing the fields of data science and big data analytics.
Mission of the Big Data Analytics Program
To educate qualified Big Data Analysts through a practice-oriented educational approach by equipping students with comprehensive knowledge of the big data ecosystem, statistics, data visualization, and the application of contemporary artificial intelligence tools in data analytics; fostering analytical thinking and data-driven decision-making skills; promoting adherence to professional ethics and data privacy principles; encouraging effective teamwork and lifelong learning; and preparing graduates who create value by meeting the evolving needs of industry.