Mathematics Program

Study mode:On campus Study type:Full-time Languages: English
Local:$ 7 k / Year(s) Foreign:$ 7 k / Year(s)  
StudyQA ranking:5542 Duration:4 years

Photos of university / #izmirekonomiuni

In the Mathematics Program at Izmir University of Economics, students embark on a comprehensive educational journey that combines theoretical foundations with practical applications. The program is designed to equip students with a strong understanding of pure and applied mathematics, fostering analytical thinking, problem-solving skills, and quantitative reasoning. Throughout their studies, students explore a wide range of mathematical disciplines, including calculus, algebra, geometry, probability, statistics, and mathematical modeling. The curriculum emphasizes not only the development of rigorous mathematical skills but also the ability to apply these skills across various industries and research fields.

The program aims to prepare graduates for diverse career paths, including academia, finance, technology, data analysis, and research institutions. Students have opportunities to participate in internships, collaborative projects, and seminars that enhance their practical experience and professional network. The faculty, composed of experienced academics and industry professionals, is committed to providing high-quality education that bridges theory with real-world applications. The program also encourages research activities, enabling students to engage in original projects and contribute to advancements in mathematical sciences.

In addition to core coursework, students can pursue elective courses in areas such as computer science, economics, engineering, and sciences, allowing for interdisciplinary specialization. The university provides modern facilities, including advanced computer labs and access to mathematical software, supporting innovative learning and research. Graduates of the Mathematics Program at Izmir University of Economics are well-prepared to proceed to graduate studies or enter the workforce, bringing strong analytical capabilities and a solid foundation in mathematical sciences. The program fosters a dynamic academic environment that promotes critical thinking, continuous learning, and professional development, preparing students to meet the challenges of a data-driven world with confidence and scientific rigor.

To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.

1. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
SFL 1013   Second Foreign Languages I 2 2 3 3
ENG 101   Academic Skills in English I 2 2 3 3
IUE 100   Academic and Social Orientation 0 2 1 1
HUM 103   Principles of Social Sciences I 3 0 3 4
MATH 109   Calculus I 3 2 4 5
MATH 105   Linear Algebra I 2 2 3 5
CE 113   Introduction to Computers and Information Technology I 2 2 3 4
MATH 103   Fundamentals of Mathematics 3 0 3 5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 114   Introduction to Computers and Information Technology II 2 2 3 4
SFL 1024   Second Foreign Languages II 2 2 3 3
ECON 100   Principles of Economics 3 0 3 4
ENG 102   Academic Skills in English II 2 2 3 3
MATH 110   Calculus II 3 2 4 6
MATH 106   Linear Algebra II 2 2 3 6
HUM 104   Principles of Social Sciences II 3 0 3 4
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
MATH 203   Introduction to Probability Theory I 2 2 3 6
SFL 201   Second Foreign Languages III 2 2 3 3
MATH 201   Advanced Calculus I 2 2 3 5
MATH 207   Introduction to Differential Equations I 2 2 3 5
MATH 305   Optimization 2 2 3 5
MATH 205   Analytic Geometry 3 0 3 5
TURK 201   Turkish I 2 0 2 1
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
MATH 202   Advanced Calculus II 2 2 3 5
MATH 208   Introduction to Differential Equations II 2 2 3 6
MATH 306   Abstract Algebra 3 0 3 5
SE 206   Computer Programming 2 2 3 4
TURK 202   Turkish II 2 0 2 1
MATH 204   Introduction to Probability Theory II 2 2 3 6
SFL 202   Second Foreign Languages IV 2 2 3 3
Total : 30
3. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 001   Elective Course I 3 0 3 5
MATH 301   Functional Analysis I 3 0 3 5
MATH 307   Introduction to Stochastic Processes I 3 0 3 7
SFL 301   Second Foreign Languages V 2 2 3 3
ELEC 002   Elective Course II 3 0 3 5
MATH 303   Complex Analysis 3 0 3 5
Total : 30
3. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
MATH 302   Functional Analysis II 3 0 3 6
ELEC 005   Elective Course V 3 0 3 5
SFL 302   Second Foreign Languages VI 2 2 3 3
ELEC 004   Elective Course IV 3 0 3 5
ELEC 003   Elective Course III 3 0 3 5
MATH 304   Theory of Statistics 3 0 3 6
Total : 30
4. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 007   Elective Course VII 3 0 3 5
MATH 401   Topology I 3 0 3 8
ELEC 006   Elective Course VI 3 0 3 4
SFL 401   Second Foreign Languages VII 2 2 3 3
HIST 201   Principles of Atatürk and History of Revolution I 2 0 2 1
MATH 451   Applied Workshop in Mathematics I 0 2 1 2
MATH 403   Numerical Analysis I 3 0 3 7
Total : 30
4. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 008   Elective Course VIII 3 0 3 4
MATH 402   Topology II 3 0 3 6
SFL 402   Second Foreign Languages VIII 2 2 3 3
HIST 202   Principles of Atatürk and History of Revolution II 2 0 2 1
MATH 452   Applied Workshop in Mathematics II 0 2 1 2
ELEC 010   Elective Course X 3 0 3 5
ST 300   Internship II 0 0 0 4
ELEC 009   Elective Course IX 3 0 3 5
Total : 30
Elective Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
BA 205   Financial Accounting I 3 0 3 5
CE 223   Database Systems 3 2 4 7
CE 308   Computing Theory 3 0 3 5
CE 380   Computational Geometry 3 0 3 4
CE 390   Analysis of Algorithms 3 0 3 4
CE 401   Algorithms Design 3 0 3 4
CE 470   Introduction to Neural Networks 3 0 3 4
CE 490   Introduction to Digital Image Processing 3 0 3 4
ECON 213   Mathematical Economics I 3 0 3 7
ECON 214   Mathematical Economics II 3 0 3 6
ECON 301   Econometrics 3 0 3 5
ECON 303   Money and Banking 3 0 3 5
ECON 304   Monetary Theory and Policy 3 0 3 4
ECON 324   Applied Econometrics 3 0 3 5
ECON 407   Applied Economic Topics 3 0 3 6
ECON 416   Time Series Analysis 3 0 3 6
ECON 418   Game Theory 3 0 3 6
INS 401   Introduction to Insurance and Actuarial Mathematics 3 0 3 5
ISE 310   Combinatorial Optimization 3 0 3 4
ISE 318   Quality Assurance and Reliability 2 2 3 6
ISE 336   Art of Mathematical Modelling 2 2 3 4
ISE 370   Special Topics in Optimization 3 0 3 4
ISE 400   Stochastic Models in Manufacturing Systems 3 0 3 4
ISE 410   Heuristics in Optimization 3 0 3 4
ISE 430   Decision Theory 3 0 3 4
ISE 490   Financial Engineering 3 0 3 4
ITF 301   International Finance 3 0 3 5
ITF 304   Quantitative Methods in Finance 3 0 3 6
ITF 403   Financial Risk Management 3 0 3 5
ITF 410   Financial Institutions and Markets 3 0 3 6
MATH 308   Introduction to Stochastic Processes II 3 0 3 5
MATH 309   Equations of Mathematical Physics 3 0 3 5
MATH 311   Discrete Mathematics 3 0 3 5
MATH 314   Measure Theory 3 0 3 5
MATH 317   Elementary Number Theory 3 0 3 5
MATH 400   Biomathematics 3 0 3 7
MATH 404   Numerical Analysis II 3 0 3 6
MATH 407   Introduction to Spectral Analysis I 3 0 3 5
MATH 408   Introduction to Spectral Analysis 3 0 3 5
MATH 410   Linear Integral Equations 3 0 3 6
MATH 420   Seminar: Introduction to Quaternionic and Clifford Calculus 3 0 3 5
MATH 425   Mathematical Computing and Simulation I 3 0 3 5
MATH 426   Mathematical Computing and Simulation II 3 0 3 5
MATH 437   Fuzzy Set Theory 3 0 3 5
MATH 440   Numerical Solutions of Partial Differential Equations 3 0 3 5
MATH 450   Game Theory 3 0 3 5
MATH 455   Graph Theory 3 0 3 5
MATH 460   Additional Topics in Algebra 3 0 3 5
MATH 470   Introduction to Cryptography 3 0 3 5
MATH 480   Algebraic Number Theory 3 0 3 5
MATH 488   Introduction to Invariant Theory 3 0 3 5
MATH 490   Introduction to Algebraic Geometry 3 0 3 5
MATH 499   Introduction to Coding Theory 3 0 3 5
PHYS 100   General Physics I: Mechanics and Thermodynamics 2 2 3 6
RM 401   Fundamentals of Risk Management 3 0 3 4
RM 402   Statistical Foundations of Risk Management 3 0 3 5
RM 403   Applied Risk Analysis 3 0 3 5
SE 330   Advanced Game Development 3 0 3 4
SE 420   Artificial Intelligence and Expert Systems 3 0 3 4
MATH 321   Introduction fo Mathematical Finance 3 0 3 5

In the framework of the regulations set by Higher Education Council of Turkey (YÖK), student admission for this undergraduate program is made through a university entrance examination called ÖSYS. Following the submission of students’ academic program preferences, Student Selection and Placement Center (ÖSYM) places the students to the relevant program according to the score they get from ÖSYS.

International students are accepted to this undergraduate program according to the score of one of the international exams they take such as SAT,ACT etc. or according to their high school diploma score.

Exchange student admission is made according to the requirements determined by bilateral agreements signed by IUE and the partner university.

Visiting students can enroll for the courses offered in this program upon the confirmation of the related academic unit. Additionally, they need to prove their English language level since the medium of instruction at IUE is English.

The students studying in this undergraduate program are required to have a Cumulative Grade Points Average (Cum.GPA) of not less than 2.00/4.00 and have completed all the courses with at least a letter grade of DD/S in the program in order to graduate. The minimum number of ECTS credits required for graduation is 240. It is also mandatory for the students to complete their compulsory internship in a specified duration and quality.

 

The Financing Studies for the Mathematics Program at Izmir University of Economics encompass a comprehensive financial plan designed to support students throughout their academic journey. Tuition fees are determined annually and are competitive within the region, offering an accessible pathway for domestic and international students. Scholarships are available based on academic excellence, financial need, and special talents, providing opportunities to reduce financial burdens. The university offers various scholarship programs, including full or partial tuition waivers, which are awarded through merit-based evaluation processes. Additionally, students can apply for government-funded financial aid programs that target socio-economically disadvantaged groups, helping to promote equitable access to higher education.

The university also collaborates with several private sector partners to provide scholarship opportunities and financial support packages. Students are encouraged to explore external funding options such as university-sponsored grants, sponsorships, and community-based funding organizations. Payment plans are tailored to accommodate students' financial situations, offering installment options to ease the payment process and reduce immediate financial pressure.

Students enrolled in the Mathematics Program can also benefit from work-study arrangements that allow part-time employment within the university, thereby earning income while gaining practical experience. The university maintains transparent fee policies, with detailed information available through the finance office and official website, ensuring students can make informed decisions regarding their financial commitments.

Financial support services are available to advise students on scholarship applications, financial planning, and managing educational expenses. The university's commitment to providing accessible education is reflected in its ongoing efforts to expand financial aid programs and optimize resources for student support. Overall, the financing studies at Izmir University of Economics aim to minimize financial barriers, enabling students to focus on achieving academic success and developing their professional skills in the field of mathematics.

The Mathematics Program at Izmir University of Economics is designed to provide students with a comprehensive understanding of fundamental and advanced mathematical concepts. The program aims to equip students with analytical and problem-solving skills applicable in various scientific, technological, and industrial fields. Throughout their studies, students explore a wide range of topics, including algebra, calculus, differential equations, mathematical modeling, probability, and statistics. The curriculum emphasizes both theoretical foundations and practical applications, preparing graduates for careers in academia, research, finance, data analysis, and technology sectors. The program also encourages students to develop critical thinking, quantitative reasoning, and effective communication skills. In addition to coursework, students have opportunities for participation in projects, seminars, and internships, fostering a well-rounded educational experience. The faculty comprises experienced academics dedicated to providing high-quality education and mentoring. Izmir University of Economics supports modern teaching methodologies, including the use of technological tools and collaborative learning environments. Graduates of the program often continue their education at master's and doctoral levels or enter the workforce directly, contributing to advancements in their fields. The program underscores the importance of internationalization, with various opportunities for exchange programs and collaborations with global institutions. Students are also encouraged to engage in research activities and innovative thinking, which are integral parts of the curriculum. Overall, the Mathematics Program at Izmir University of Economics offers a rigorous, research-oriented education designed to prepare students for successful careers and lifelong learning in an increasingly data-driven world.

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