Program Description
Today, alongside the industrial and technical advancements strengthening computer capacities, almost everything has begun to be measured and stored. The analysis of the large volume of collected data and the elimination of mechanisms containing uncertainty in events have always been the tasks of the Mathematical-Statistical Sciences. In order to take measures based on the immediate evaluation of the collected data and to make predictions about the future, data-weighted information acquisition has gained importance, leading to the development of Data Science techniques. Data Science, as a combination of disciplines such as Mathematics, Statistics, and Computer Engineering, has become more important and popular than ever before.
As a result of these developments, leading universities around the world have added Data Science Departments to their Master’s programs. Data Science includes methods at the intersection of computational artificial intelligence, machine learning, statistics, and database systems. Graduates of these Master’s Programs easily find employment in business, government, financial services, biology, medicine, risk and intelligence, and science and engineering fields, as well as in data mining fields.
Unlike other similar programs, the Istanbul Gedik University Data Science Master’s Program not only focuses on Data Science Techniques but also emphasizes the importance of Data Analysis theory. As is known, theory without practice and practice without theory are not effective. Moreover, the provision of Mathematical-Statistical knowledge solely as pure theory cannot train problem-solving teams effectively in practice.
Program Structure
The Non-Thesis Master’s Program in Statistics and Data Science consists of a total of 30 credits, including 10 courses and a term project. The term project is non-credit and is graded as either successful or unsuccessful. The duration of the non-thesis master’s program is a minimum of two and a maximum of three semesters. Duration calculations do not take the scientific preparation program into account. Periods during which the student does not register are included in the maximum duration. The Non-Thesis Master’s Program in Statistics and Data Science includes a total of seven different areas of expertise, which are as follows:
- Applied Statistics
- Econometrics and Finance
- Sports and Health
- Environmental Science
- Data Mining and Machine Learning
- Big Data Analysis and Neural Networks
- Cybersecurity