Curriculum

The curriculum will help you develop skills required in all aspects of data analytics, with flexibility to allow different interests. Courses offered during each semester are listed below. Associated links with the course titles provide brief information about the course content, the mission and scope of the course, and the skills acquired by the participant upon the completion of the course. Toward fulfillment of the degree requirements, students are expected to select 4 courses out of 6 electives in the Spring term, and 2 courses (in addition to the Term Project) out of 3 electives in the Summer Term.

Fall

Course Name
DA 501 Introduction to Data Analytics
DA 503 Applied Statistics
DA 505 Introduction to Data Modeling and Processing
DA 507 Modeling and Optimization

Spring

Course Name
DA 510 Data Mining (Elective)
DA 512 Big Data Processing using Hadoop (Elective)
DA 514 Machine Learning (Elective)
DA 516 Social Network Analysis (Elective)
DA 518 Exploratory Data Analysis and Visualization (Elective)
DA 520 Data Privacy and Security (Elective)

Summer

Course Name
DA 515 Practical Case Studies in Data Analytics (Elective)
DA 522 Information Law and Data Ethics (Elective)
DA 525 Project Management and Business Communication (Elective)
DA 592 Term Project (Non-credit)

The courses will be given by Sabancı University faculty members who work in many different areas of Data Analytics, together with senior executives, managers and leaders from related business areas to improve the knowledge-base and practical skills the participants need.

English