Bachelor's program

Artificial Intelligence and Data Engineering in Turkey

⏱ 4 years🌐 English
4 yearsDuration
EnglishLanguage of instruction
from $6,300/yrTuition from

AI and data engineering in Turkey: the short answer

Artificial Intelligence and Data Engineering is a four-year, English-taught engineering bachelor's that combines computer science with the mathematics of machine learning and the engineering of data systems: collecting, storing and processing data at scale, then building models that learn from it. Özyeğin University lists it at $25,000 a year as its standard 2026/27 fee, and Atlas University lists an English-taught programme at $6,300 a year.

The difference from a general AI engineering degree is the data half: more databases, distributed systems, data pipelines and cloud platforms. If you want to become the person who builds reliable data infrastructure as well as models, this title matches that goal.

How the degree is built

Expect a computer-engineering core in the first two years: programming, data structures and algorithms, discrete mathematics, calculus, linear algebra, probability and computer architecture. From the second year, the programme adds statistics for data science, database systems and machine learning, then deep learning, natural language processing, computer vision, big-data processing, data engineering on cloud platforms and ethics of AI.

Final-year students usually complete a capstone project with a company or research lab. Summer internships are part of most Turkish engineering curricula; ask whether the university helps international students with internship placements and the required insurance paperwork.

Year 1
  • Programming I–II (Python and a compiled language)
  • Calculus
  • Linear algebra
  • Discrete mathematics
Year 2
  • Data structures and algorithms
  • Probability and statistics
  • Database systems
  • Computer organisation
Year 3
  • Machine learning
  • Big-data processing
  • Operating systems and cloud computing
  • Summer internship
Year 4
  • Deep learning and NLP
  • Data engineering pipelines
  • AI ethics and governance
  • Capstone project

Who the programme suits

Choose it if you…

  • You enjoy mathematics as much as programming.
  • You want to work on machine-learning systems that run on real data in production.
  • You are comfortable learning new tools every year.

Worth a pause if…

  • You want a design-oriented or business analytics degree with little programming.
  • Your mathematics results are weak and you are not ready for a preparatory year of catching up.

Admission requirements for international students

Both universities teach in English and admit international applicants on school results or international exams. Özyeğin states that scholarships depend on academic achievement, so strong mathematics grades and test scores affect both admission and cost.

  • School record: certificate and transcript with good mathematics results; the 11-year certificate is assessed for Russian and CIS applicants, with the Ministry of National Education equivalence required at registration.
  • Exam scores: SAT, ACT, A levels, IB or TR-YÖS strengthen an application and are often the basis for merit scholarships.
  • English: accepted TOEFL iBT, IELTS or similar, or the university's exam; otherwise an English preparatory year.
  • Portfolio: not required, but a GitHub profile, olympiad results or small data projects support scholarship applications.

How to compare AI and data programmes

  • Computing resources: ask whether students get GPU time, cloud credits or cluster access for coursework.
  • Mathematics depth: compare the number of statistics, optimisation and linear-algebra courses.
  • Industry projects: look for capstones with companies and research groups publishing in machine learning.
  • Accreditation: new programmes are rarely MÜDEK-accredited yet; check the status of the university's computer engineering department as a proxy for quality culture.
  • Scholarship terms: check the grade you must keep to retain a merit scholarship in later years.

Careers after AI and data engineering

Graduates work as data engineers, machine-learning engineers, data scientists, MLOps and platform engineers, and software engineers in product companies, banks, telecom operators and start-ups. The field has no professional licence; employers look at projects, internships and the depth of your mathematics and engineering skills.

The degree also prepares you for research master's programmes in machine learning or data science in Europe and elsewhere, where an English-taught engineering bachelor's with a strong transcript is a straightforward basis for applications.

Where to study

Universities offering AI and data engineering

Standard annual tuition before any scholarship.

Artificial Intelligence and Data Engineering at Ozyegin University
Artificial Intelligence and Data Engineering - universities and tuition
UniversityDegreeLanguageTuition (academic year)
Atlas UniversityBachelorEnglish$6,300/yr · current list
Ozyegin UniversityBachelorEnglish$25,000/yr · 2026/27 · official fee

Özyeğin describes $25,000 as the standard 2026/27 fee and awards scholarships on academic achievement; Atlas publishes $6,300 with lower amounts for its 10% scholarship and advance payment, and does not print an academic year on its list.

Add a capable laptop, housing in Istanbul, health insurance and the residence permit to your budget, plus the preparatory English year if you need it.

How StudyU helps with AI and data applications

A personal strategy, requirement checks, selection of agreed options, document preparation, applications, and support are provided under an agreement with StudyU. For this programme we can compare the two options by total cost and scholarship criteria and prepare an application that presents your mathematics and project record clearly. The university decides admission and scholarships, Türkiye's Ministry of National Education decides school-certificate equivalence, the consulate decides the visa, the migration authority issues the residence permit, and the dormitory or landlord confirms housing.

AI and data engineering: FAQ

Yes. Both Özyeğin and Atlas list the programme as English-taught.

Both cover machine learning. AI and Data Engineering adds more on databases, big-data processing and data pipelines, so graduates can build the systems that feed models as well as the models themselves.

The standard 2026/27 fee is $25,000 a year. The university awards scholarships based on academic achievement, which reduce the amount you pay.

No, programming is taught from the first semester. Strong mathematics matters more, and early coding practice makes the first year easier.

Yes. An English-taught engineering bachelor's with good grades is a common basis for machine-learning and data-science master's programmes.

Ready to study Artificial Intelligence and Data Engineering in Turkey?

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Official sources

Fees and requirements on this page come from the official documents below; where a university publishes its fee list online, the link sits next to the amount in the table above.

  • Özyeğin University: 2026/27 tuition fees and scholarships — Artificial Intelligence and Data Engineering (English) $25,000 standard fee.
  • Atlas University: programmes and fees — Artificial Intelligence and Data Engineering (English) $6,300; no academic year printed.
  • MÜDEK: engineering programme accreditation — accredited engineering programmes in Turkey.

Fees above are published by the universities in US dollars, so no conversion is applied. For readers budgeting in euros, the ECB reference rate on 29 September 2026 was €1 = $1.1355. Fees and programme lists were checked on these pages on 29 September 2026; confirm the active intake before paying a deposit.

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