The information and program qualifications related to the Data Science and Analytics Bachelor of Science Program, under the Department of Data Science and Analytics of the Faculty of Management, are summarized below.
Information About The Program
In today's rapidly digitalizing world, as data is increasingly recognized as a strategic asset, the demand for competent data scientists continues to grow. As the Department of Data Science and Analytics, we are committed to addressing this need by educating well-equipped and visionary graduates.
Data science and analytics stand out as an exciting and future-oriented profession that enables you to make sense of complex data sets and extract valuable insights. In this field, you not only design and implement complex algorithms but also interpret the results to support strategic decision-making for businesses and institutions. From analyzing marketing trends and understanding customer behaviors to predicting financial risks and diagnosing diseases, data science offers effective solutions across various domains.
Our program focuses on developing analytical thinking, problem-solving, and communication skills while providing the opportunity to be at the forefront of a constantly evolving field. We aim to train our graduates not only as technically skilled individuals but also as critical thinkers, problem solvers, effective communicators, and ethically responsible pioneers in their field.
We invite all prospective students who aspire to build a data-driven career and become future leaders to embark on this exciting journey with us.
Click here for the program's website.
Program Profile
It is a higher education program covering eight semesters based on secondary education qualifications and providing education oriented towards a specific field of study or profession.
Registration Requirements
Program Learning Environments
Education and training are conducted in the form of formal education. Additionally, practical training is carried out through internships or workplace training in laboratories and workshops within higher education institutions, as well as in industries, public institutions, healthcare facilities, and workplaces.
YKS Quotas, Student Success Ranking, Minimum and Maximum Scores for the Last Five Years
Data Science and Analytics Bachelor of Science Program (%100 English)
| Year | Point Type | Qoata | Min Point | Max Point
|
| 2024 | SAY | 30 | 504,33451 | 517,38061 |
| Year | Lowest Success Ranking | Heighest Success Ranking | Average Success Ranking |
| 2024 | 8932 | 4963 | 7334 |
English Proficiency
Regulations and Guidelines
Academic Calendar
Course Plans, Prerequisites and Course Equivalence
Course Information
Course Schedules
Course Adjustment and Exemption Procedures
Program Educational Objectives
The Department of Data Science and Analytics aims to equip students with the ability to develop innovative solutions for complex problems by utilizing data analysis, big data management, machine learning, and artificial intelligence techniques. In this context, advanced techniques for data collection, cleaning, and processing are applied, while optimization and modeling methods are used to design decision support systems.
Within the program, mathematical and statistical methods are effectively applied in data science practices to conduct scientific analyses. Courses such as probability theory, statistics, linear algebra, and discrete mathematics are utilized to extract meaningful insights through data mining and statistical modeling techniques.
Students gain competence in programming and algorithm development to create data-driven software solutions. By specializing in Python, R, and SQL, they build a strong foundation in data structures, algorithms, and database management.
Machine learning, deep learning, and artificial intelligence methods are applied to design data-driven systems. Supervised and unsupervised learning algorithms are implemented to solve real-world problems, while solutions are developed in areas such as natural language processing, computer vision, and time series analysis.
The department also enables students to specialize in big data technologies and data engineering processes to design scalable data systems. Cloud computing, distributed data processing, and data lakes are utilized effectively to build dynamic systems using real-time data processing techniques.
Additionally, students develop knowledge and skills to ensure responsible data management within the framework of data security, privacy, and ethical principles. Analyses are conducted in compliance with GDPR and KVKK data protection regulations, while strategies are developed to counter cybersecurity threats.
Measurement and Evaluation
Student success is evaluated in consideration of Articles 20, 21, 22, 23, 24, and 25 of the Istanbul Technical University Undergraduate Education and Training Regulation.
Click here for the relevant regulation.
Internship
This program 40 days contains mandatory intership.
Graduation Requirements
The Awarded Degree and Title
Degree : Bachelor of Science Title : Data Scientist
Program Employment Opportunities
Department of Data Science and Analytics equip students with theoretical knowledge and practical skills through courses such as Mathematics I & II, Discrete Mathematics, Probability Theory, Linear Algebra, Statistics, Data Analytics, Introduction to Data Science and Analytics, Deep Learning, Machine Learning, Big Data and Analytics, and Cybersecurity. This comprehensive education prepares them for a strong career in a wide range of industries.
Graduates of Data Science and Analytics have diverse career opportunities and can take on various roles in different industries. Our graduates work in technology-driven environments such as big data platforms, artificial intelligence laboratories, and data centers, as well as in industries like finance, healthcare, marketing, and manufacturing.
Career Fields for Graduates:
• Data Science and Analytics:
o Data Scientist
o Data Analyst
o Business Intelligence Specialist
o Big Data Specialist
o Machine Learning Engineer
o Deep Learning Specialist
• Information Technology and Software:
o Data Engineer
o Database Administrator
o Artificial Intelligence and Automation Specialist
o Cloud Computing Specialist
• Business and Consulting:
o Data-Driven Strategy and Business Development Specialist
o ERP Consultant
o Business Analyst
o Digital Transformation Consultant
o Financial Analyst
• Finance and Banking:
o Risk Analyst
o Fraud Detection Specialist
o Investment Strategy Analyst
• Healthcare and Bioinformatics:
o Healthcare Data Analyst
o Medical Imaging Specialist
o Disease Prediction and Patient Management Specialist
• Marketing and E-Commerce:
o Customer Analytics Specialist
o Digital Marketing Analyst
o Sales Forecasting Specialist
• Manufacturing and Logistics:
o Supply Chain Analyst
• Energy and Environment:
o Renewable Energy Data Analyst
o Energy Consumption Forecasting Specialist
• Aviation and Defense:
o Flight Safety Data Analyst
o Defense Technology Data Specialist
Number of Graduates
There are no graduates.
Program Outcomes
P.O.1 Ability to understand fundamental concepts in the fields of data science and analytics, enabling them to apply statistical methods and data mining techniques.
P.O.2 Ability to develop the ability to analyze different types of data and utilize data analytics techniques to derive meaningful insights from these analyses.
P.O.3 Ability to gain analytical thinking and problem-solving skills, empowering them to define, analyze, and generate innovative solutions to complex problems.
P.O.4 Ability to gain proficiency in data visualization and reporting, allowing them to effectively present the data they analyze.
P.O.5 Ability to acquire fundamental knowledge of data security and develop a sensitive approach to data privacy.
P.O.6 Ability to develop the ability to evaluate the ethical and social implications of technology and cultivate a responsible approach to utilizing these technologies for societal benefit.
Higher Education Program Atlas
Quality and Accreditation Officer
Head of Department
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