Mathematics Engineering
The Mathematics Engineering programme at Istanbul Technical University is a four-year undergraduate degree combining deep mathematics, engineering methods and problem-solving skills. In this programme, you learn pure and applied mathematics — such as algebra, analysis, statistics — together with computational methods, modelling and engineering fundamentals. Early years build a strong math and logic background. Later years focus on applying mathematics to real-world problems: modelling, simulations, algorithms, data analysis and engineering applications. Students graduate able to use strong mathematical tools for many fields.
This programme offers flexibility and preparation for many future paths. You will study mathematics, computing and engineering ideas all together, so you can work in areas like software, data science, optimization, finance, research or engineering design. The education helps you understand complex problems, build models, and create solutions with mathematical precision and technical skills. With this foundation, you are ready for a future in technology, science, data, finance or research — in Turkey or abroad.
Key information
Key Facts
- Degree: Bachelor of Science (B.Sc.)
- Standard period of study: 8 semesters
- Location: Istanbul, Turkey
- Study Type: Undergraduate, full-time
- Admission semester: Fall semester
- Area of study: Mathematics, Applied Mathematics, Modelling, Computation
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Mathematics & Basic Engineering
- Calculus / Mathematics I
- Linear Algebra / Basic Mathematics
- Introduction to Mathematical Engineering & Logic
- Basic Programming / Computational Thinking
- Academic English / Skill Course
Semester 2 – Core Mathematics & Fundamentals
- Calculus II / Analysis
- Discrete Mathematics / Algebra
- Probability & Statistics Basics
- Computer Programming & Data Structures
- Optional / Elective Course
Semester 3 – Applied Mathematics & Modelling I
- Differential Equations / Mathematical Analysis
- Numerical Methods & Computational Mathematics
- Statistics & Data Analysis for Engineers
- Elective or General Course
Semester 4 – Applied Mathematics & Modelling II
- Mathematical Modeling of Systems
- Optimization & Operations Research Basics
- Applied Probability & Stochastic Processes
- Elective or Lab-based Course
Semester 5 – Computation, Data & Systems Applications
- Algorithms & Computational Methods
- Data Analysis / Statistical Modelling
- Mathematical Finance / Finance-oriented Math (if available)
- Elective Course
Semester 6 – Advanced Topics & Engineering Applications
- Advanced Modeling / Simulation Techniques
- Applied Math in Engineering or Technology Systems
- Project / Research Methods / Seminar
- Elective Course
Semester 7 – Project Work & Professional Skills
- Applied Mathematics Project / Team Work
- Elective (e.g. Data Science, Optimization, Computational Physics, etc.)
- Seminar / Technical Writing / Research Methods
- General or Elective Course
Semester 8 – Final Project & Graduation Preparation
- Final Year Project or Thesis-style Project
- Advanced Elective or Specialization Course
- Professional Development / Career Preparation Course
- Graduation & Degree Finalization
Career Opportunities
Graduates of this programme can work in many fields: data science, software development, financial modeling, optimization, research, analytics, engineering modelling, machine learning, systems design, algorithm development, and more. Because the programme combines mathematics and engineering thinking, graduates are flexible and can adapt to fast-changing technological fields. They can join tech firms, finance companies, research institutes, data-driven businesses, fintech, software, consulting, or pursue graduate studies (MSc / PhD) in mathematics, applied mathematics, data science or engineering.
Why Choose This Program
This programme is ideal for students who enjoy mathematics, logic and solving complex problems, and want to apply these skills in engineering, data or research fields. You learn strong mathematical foundations, computing skills and modelling techniques — a flexible toolkit to solve many types of problems. The combination of mathematics and engineering thinking gives you an edge: you can understand theory deeply and use it to build real solutions.
Another advantage is the broad range of career paths you get. Mathematics Engineering opens doors in technology, data science, finance, engineering, research or academia. With your strong analytical skills and problem-solving ability, you can adapt to many fields even as technology changes. This flexibility — plus your engineering and math background — makes this programme a strong foundation for the future.
Contact Information
Istanbul Technical University – Student Advisory Service
Ayazağa / Maslak Campus
Istanbul, Turkey
Tel: +90 212 285 30 00
Fax: +90 212 285 29 40
Email: info@itu.edu.tr
Department of Mathematics Engineering – Programme Office
Faculty of Science and Letters
Ayazağa / Maslak Campus
Istanbul, Turkey
Tel: +90 212 285 60 00
Email: matheng@itu.edu.tr
International Office – ITU
Ayazağa / Maslak Campus
Istanbul, Turkey
Tel: +90 212 285 37 72
Fax: +90 212 285 39 89
Email: international@itu.edu.tr
