The scale of every kind of institution in the world is growing day by day, and their activities are becoming more complex. Parallel to the development of technologies related to data collection, storage, and processing capacities, the importance of basing the decision-making processes at various levels of institutions on the large amounts of collected data is increasingly coming to the forefront. Therefore, the need for experts in data science is rapidly increasing both in the world and in our country.
The Data Science and Analytics undergraduate program aims to equip its students with the skills necessary to discover prominent trends and patterns within data collected from institutions in various sectors, identify relationships, and develop data-driven methods for decision-makers based on these findings. The program aims to produce graduates capable of performing all kinds of data analysis and making analytical inferences from them. With an interdisciplinary approach, it provides competence in subjects such as statistical, mathematical, and economic methods, computer programming, artificial intelligence, and machine learning. It offers a variety of courses necessary for students to apply these competencies in their areas of interest, ranging from social sciences and management sciences to various engineering applications. Thanks to its interdisciplinary curriculum, the graduates of the Data Science and Analytics program will be able to analyze data from a wide range of domains in an unparalleled way. With these special skills, our students will become experts who will make a difference in the data-driven future world.
Undergraduate Course Catalog
The following describes a recommendation to an eight-semester study plan and provides suggestions for different sets of tracks when possible.
Recommended Course Plan
Please be advised that when you are planning your course schedule, you have to satisfy the degree requirements of your diploma program. It is your responsibility to follow your progress in this regard. Please login to bannerweb.sabanciuniv.edu and check your status. Remember that the degree requirements for programs may differ depending on your first admission term.
In addition to using the following suggested study plan, you are strongly advised to consult your advisor for all academic matters, including course selections. To find your personal academic advisor or Program Area Advisors, follow the link.
Common Outcomes of Our Undergraduate Programs at SU:
- Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values, and responsibility to the self and to others.
- Understand different disciplines from natural and social sciences to mathematics and art and develop interdisciplinary approaches in thinking and practice.
- Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself.
- Communicate effectively in Turkish and English by oral, written, graphical and technological means.
- Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams.
Data Science and Analytics Undergraduate Program Specific Outcomes:
- Apply the principles of data science effectively with an interdisciplinary perspective, by combining the fields of engineering, social sciences, and management sciences.
- Be competent in the application of mathematical techniques, especially statistical methods, to data science.
- Identify patterns, trends, and causality relationships within data for information-based decision-making.
- Identify and define complex problems within the scope of data science and develop solutions under realistic constraints and conditions using contemporary methods.
- Design and conduct experiments, collect data, and analyze the results.
- Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development.
- Possess awareness of the legal consequences of data analytics solutions; behave in accordance with ethical principles and demonstrate awareness of professional and ethical responsibilities.
- Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations
Student Information
- Work at engineering, consultancy, R&D, operation, and/or management departments of national and/or international companies,
- Complete master and/or PhD programs of respected universities by conducting original research in their disciplines or in interdisciplinary manner, and/or find positions at leading academic and research institutions;
- Build and develop start-up companies using their entrepreneurial skills;
with the foundations, knowledge, vision and experience they acquire from undergraduate education.
Program Coordinators
Yücel Saygın
Faculty of Engineering and Natural Sciences
Erdal Aydın
Faculty of Arts and Social Sciences
Enes Eryarsoy
Sabancı Business School