Data Science (English) (Thesis)
Vadi Campus, Turkey
Master of Science in Data Science (English) (With Thesis)
Istinye University
Data Science
Program Overview: Data Science Master's (Thesis Track)
The Data Science Master's Program (With Thesis) at Istinye University approaches data as a scientific discipline, exploring both its technical and non-technical dimensions. The program trains specialists who can analyze processes, construct theoretical pipelines, and interpret the social, cultural, and business-related impacts of data-driven results.
Delivered entirely in English, this thesis-track program combines application-oriented coursework with in-depth research, culminating in an original master's thesis. Students explore topics spanning machine learning, big data analytics, algorithmic fairness, explainable AI, and data-driven organizational transformation.
Located in Istanbul, one of the world's most dynamic cities, the program benefits from Istinye University's modern infrastructure, including advanced laboratories and research centers. Graduates are awarded a Master's Degree in Data Science upon successful completion of coursework and the thesis process.
Key Program Highlights
- English-taught thesis program combining technical data science skills with critical analysis of data's societal impact
- Interdisciplinary curriculum covering AI ethics, algorithmic fairness, privacy law, and data-driven management
- Access to Istinye University's 99 laboratories and cutting-edge research facilities in Istanbul
- Strong emphasis on original research through a supervised master's thesis in a data science specialization
Curriculum and Course Modules
The thesis-track master's program consists of at least seven courses, one seminar course, and a master's thesis, totaling a minimum of 120 ECTS credits. The curriculum balances core technical modules with electives that address the broader implications of data science in society, business, and governance.
Foundations of Data Science
7.5 ECTSCovers the fundamental concepts, methodologies, and tools used in data science, including data collection, cleaning, exploration, and visualization techniques essential for advanced study.
Machine Learning and Statistical Modeling
7.5 ECTSExplores supervised and unsupervised learning algorithms, regression, classification, clustering, and model evaluation methods used to extract insights from complex datasets.
Big Data Technologies and Analytics
7.5 ECTSIntroduces distributed computing frameworks, cloud-based data processing, and scalable analytics platforms for handling large-scale data challenges in real-world applications.
Explainable AI and Algorithmic Fairness
7.5 ECTSExamines the principles of transparent and interpretable AI systems, addressing bias detection, algorithmic fairness, and the ethical implications of automated decision-making.
Data Privacy, Ethics, and Legal Frameworks
7.5 ECTSAnalyzes personal data protection regulations, privacy-by-design principles, and the legal and ethical challenges associated with data collection and processing in different jurisdictions.
Research Seminar and Thesis Preparation
7.5 ECTSGuides students through research methodology, academic writing, and thesis proposal development, preparing them to conduct original research in their chosen data science specialization.
Elective Courses
Admission Requirements
Admission to the Data Science Master's Program (With Thesis) at Istinye University is open to graduates from a wide range of academic backgrounds. All applications and inquiries are handled through Uni4Edu, your dedicated point of contact for a streamlined admissions process.
Academic Requirements
- Bachelor's DegreeA completed bachelor's degree from a recognized university, preferably in a quantitative or technical field such as computer science, engineering, mathematics, statistics, or a related discipline
- Academic TranscriptOfficial transcript showing courses completed and grades obtained during undergraduate studies, translated into English or Turkish
- Minimum GPAContact Uni4Edu for current GPA requirements as they may vary by academic year
- Statement of PurposeA letter explaining your motivation for pursuing the Data Science program and how it aligns with your career goals
- Recommendation LetterAt least one letter from a former professor or supervisor attesting to your academic and professional abilities
English Language Requirements
- TOEFLMinimum score of 79 iBT
- IELTSMinimum overall band score of 6.5
- University Internal ExamIf no valid TOEFL or IELTS score is submitted, applicants may take Istinye University's internal English proficiency exam
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Istinye University offers various scholarship and discount opportunities for international students. Uni4Edu can guide you through available funding options to help make your Data Science studies more affordable.
Academic Merit Scholarship
Students who have completed one academic year at Istinye University may be awarded a merit scholarship in varying amounts based on their academic performance and GPA.
Alumni Discount
10% tuition reductionCandidates who hold an existing Istinye University diploma are eligible for a 10% alumni discount when enrolling in a graduate program at the university.
Sibling Discount
5-7.5% tuition reductionA 5% discount is applied for each sibling if two siblings are simultaneously enrolled as active students at Istinye University, increasing to 7.5% for more than two siblings.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects for Data Science Graduates
Data science professionals are in high demand globally, with the World Economic Forum ranking data science-related professions among the top emerging roles. Graduates of this program are equipped with both technical expertise and critical analytical skills to pursue careers across industries ranging from technology and finance to healthcare and government.
Potential Career Roles
Industries and Potential Employers
Rankings and Recognition
Istinye University, established in 2015, has rapidly risen in national and international rankings, demonstrating a strong commitment to research excellence and academic quality. The university is recognized across multiple global ranking systems and continues to advance its standing each year.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | ShanghaiRanking (GRAS) | 401-500 |
| Engineering | THE Subject Rankings | 400-500 |
| Interdisciplinary Science | THE Interdisciplinary Rankings | 4th among Turkish private universities |
| All Universities in Turkey | URAP Turkey | #35 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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