PhD

Applied Mathematics and Statistics Program

Study mode:On campus Study type:Full-time Languages: English
Local:$ 10 k / Year(s) Foreign:$ 10 k / Year(s)  
StudyQA ranking:2735 Duration:4 years

Photos of university / #izmirekonomiuni

Applied Mathematics and Statistics Program at Izmir University of Economics offers a comprehensive curriculum designed to equip students with the essential mathematical, statistical, and analytical skills necessary for solving real-world problems across various industries. The program emphasizes both theoretical foundations and practical applications, preparing graduates for diverse careers in data analysis, financial modeling, research, and technology fields.

Students in this program will engage with core mathematics courses such as calculus, linear algebra, differential equations, and discrete mathematics, providing a solid base for advanced studies. In addition, the curriculum includes specialized courses in statistics, probability theory, stochastic processes, regression analysis, multivariate statistics, and statistical computing, ensuring a thorough understanding of data analysis techniques. The program also offers coursework in computational mathematics, programming, and data management, enabling students to handle large datasets and utilize modern analytical software.

The interdisciplinary nature of Applied Mathematics and Statistics aims to develop students' problem-solving skills, quantitative reasoning, and critical thinking abilities. Through various laboratory sessions, projects, and internships, students gain hands-on experience in data collection, modeling, simulation, and interpretation. The program collaborates with industry partners and research institutions, providing students with opportunities for practical training and research activities that enhance employability and professional development.

Graduates of the Applied Mathematics and Statistics program are well-prepared for careers in finance, insurance, healthcare, information technology, government agencies, and research organizations. They may pursue roles such as data analyst, statistician, operational researcher, financial analyst, or further academic study at the postgraduate level. The program also fosters entrepreneurial thinking and innovation, encouraging students to develop solutions to complex problems through mathematical modeling and statistical analysis.

Our faculty comprises experienced academics and industry experts committed to delivering high-quality education and supporting students in achieving their academic and professional goals. State-of-the-art facilities, modern laboratories, and a vibrant academic community create an ideal environment for learning and research. The program emphasizes internationalization and offers opportunities for student exchange and collaboration with global partners, preparing students for effective participation in a global job market.

By choosing the Applied Mathematics and Statistics program at Izmir University of Economics, students embark on a challenging yet rewarding academic journey that combines theoretical insight with practical expertise, opening doors to a wide array of professional opportunities in today's data-driven world.

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
ELEC 001   Elective Course I 3 0 3 7.5
MATH 505   Advanced Mathematical Analysis 3 0 3 7.5
MATH 601   Differential Equations 3 0 3 7.5
STAT 601   Probability Theory and Mathematical Statistics 3 0 3 7.5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 002   Elective Course II 3 0 3 7.5
ELEC 003   Elective Course III 3 0 3 7.5
GSNS 695   Seminar 0 0 0 7.5
MATH 602   Advanced Linear Algebra and Optimization 3 0 3 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
GSNS 697   Individual Studies in Applied Mathematics and Statistics 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
GSNS 698   Thesis Proposal in Applied Mathematics and Statistics 0 0 0 30
Total : 30
3. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
GSNS 699   Thesis 0 0 0 30
Total : 30
3. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
GSNS 699   Thesis 0 0 0 30
Total : 30
4. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
GSNS 699   Thesis 0 0 0 30
Total : 30
4. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
GSNS 699   Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ECON 517   Financial Econometrics 3 0 3 7.5
FM 506   Stochastic Processes in Finance 3 0 3 7.5
IE 502   Probabilistic Systems Analysis 3 0 3 7.5
IES 503   Artificial Intelligence 3 0 3 7.5
IES 508   System Simulation and Modeling 3 0 3 7.5
IES 509   Heuristics 3 0 3 7.5
IES 511   Machine Learning 3 0 3 7.5
IES 513   Mathematical Programming and Applications 3 0 3 7.5
IES 534   Nonlinear Programming 3 0 3 7.5
IES 570   Criptology and Computer Security 3 0 3 7.5
MATH 504   Statistics 3 0 3 7.5
MATH 508   Partial Differential Equations 3 0 3 7.5
MATH 552   Copula Theory and Its Application in Finance 3 0 3 7.5
MATH 553   Optimization 3 0 3 7.5
MATH 554   Basic Topics in Mathematics 3 0 3 7.5
MATH 555   Financial Mathematics 3 0 3 7.5
MATH 600   Mathematics Softwares and Research Methods 3 0 3 7.5
MATH 654   Discrete Optimization and Heuristic Methods 3 0 3 7.5
MATH 655   Fuzzy Set Theory and Its Applications 3 0 3 7.5
MATH 656   Complex Analysis 3 0 3 7.5
MATH 657   Time Scales 3 0 3 7.5
MATH 658   Data Analysis with Mathematica 3 0 3 7.5
MATH 659   Graph Theory 3 0 3 7.5
MATH 660   Algebraic Geometry 3 0 3 7.5
MATH 661   Finite Fields and Its Applications 3 0 3 7.5
MATH 662   Cryptography 3 0 3 7.5
MATH 663   Biomathematics 3 0 3 7.5
MATH 664   Invariant Theory 3 0 3 7.5
MATH 665   Algebraic Coding Theory 3 0 3 7.5
MATH 666   Integral Equations 3 0 3 7.5
MATH 667   Theory of Finite Elements 3 0 3 7.5
MATH 668   Spectral Analysis of Differential Operators 3 0 3 7.5
MATH 669   Applied Homology, Computational Approach 3 0 3 7.5
MATH 670   Set Theoretic Topology 3 0 3 7.5
MATH 671   Fuzzy Optimization 3 0 3 7.5
MATH 672   Algebra 3 0 3 7.5
MATH 673   Computational Commutative Algebra 3 0 3 7.5
MATH 674   Group Theory and Its Applications 3 0 3 7.5
MATH 675   Applications of Modules and Representation Theory 3 0 3 7.5
STAT 501   Theory of Statistics 3 0 3 7.5
STAT 502   Stochastic Processes 3 0 3 7.5
STAT 503   Probability Theory 3 0 3 7.5
STAT 504   Nonparametric Statistics 3 0 3 7.5
STAT 505   Applied Statistical Analysis 3 0 3 7.5
STAT 506   Multivariate Statistics and the Theory of Copulas 3 0 3 7.5
STAT 551   Actuaria 3 0 3 7.5
STAT 552   Ordered Random Variables 3 0 3 7.5
STAT 553   Reliability 3 0 3 7.5
STAT 554   Statistical Process Control 3 0 3 7.5
STAT 555   Risk Analysis 3 0 3 7.5
STAT 556   Linear Statistical Models 3 0 3 7.5
STAT 557   Time Series Analysis 3 0 3 7.5
STAT 558   Design of Experiment 3 0 3 7.5
STAT 559   Advanced Probability Theory 3 0 3 7.5
STAT 560   Statistical Methods in Biology and Medical Sciences 3 0 3 7.5
STAT 561   Statistical Softwares and Simulation 3 0 3 7.5
STAT 562   Combinatorial Analysis and Discrete Distributions 3 0 3 7.5
STAT 563   Statistical Decision Theory 3 0 3 7.5

The students studying in this Ph.D program are required:

Take at least 7 courses with 21 local credits (Master degree holders),

Take at least 14 courses with 42 local credits (Undergraduate degree holders),

Take 240 ECTS and obtain a GPA of 3.00 over 4.00 (Master degree holders),

Take 300 ECTS and obtain a GPA of 3.00 over 4.00 (Undergraduate degree holders),

Pass the proficiency exam,

Succeed in thesis proposal and thesis exam,

Prepare and defend a doctoral thesis,

Score at least CC/S in all the master program courses required by the program, and at least CB/S in all the doctoral program courses.

B-2- FOREIGN NATIONALS:

To hold an Undergraduate or Master Degree with Thesis Diploma (Students, who enrolled to non-thesis master programs before February 06, 2013, are not required to hold “Master Degree with Thesis Diploma”.),

To graduate from undergraduate program (4 year) of Departments of Mathematics, Statistics, Chemistry, Biology, or Physics, Mathematical Engineering, Computer Engineering, Software Engineering, Industrial Engineering, Industrial Systems Engineering, Electrical Electronics Education, Economics, Logistics Management, Finance, or Financial Mathematics to apply for Applied Mathematics or Statistics master program,

To obtain the scores in the exams specified below, or obtain an equivalent score in the internationally recognized foreign language exams that are deemed equivalent to the exams specified below by the Higher Education Board,

 

Type of Exam

Score

KPDS ( Public Personnel Language Exam )

70*

UDS ( Interuniversity Foreign Language Exam )

70*

YDS (Foreign Language Placement Exam)

70 *

 

The Financing studies for the Applied Mathematics and Statistics program at Izmir University of Economics are designed to provide students with comprehensive information regarding the various financial aspects involved in pursuing this degree. The program generally offers a range of funding options to support students throughout their academic journey. These may include scholarships based on academic performance, financial need, or specific criteria such as talents or extracurricular achievements. The university's scholarship programs are integral to attracting talented students and ensuring accessible education. Additionally, students might have the opportunity to participate in teaching or research assistantship roles, which not only provide financial support but also enhance their academic experience and professional development.

Tuition fees for the program are set annually and are publicly available on the university's official website. The fees are competitive relative to similar programs within Turkey and are structured to reflect the level of education and resources provided. The university may also offer installment payment options to ease financial burdens. International students, if applicable, should inquire specifically about any additional fees or funding opportunities available to them. Beyond university-based funding, students might qualify for external scholarships and grants offered by governmental agencies, private foundations, or international organizations, which can substantially reduce the overall cost of education.

Students are encouraged to actively seek financial aid early in their academic planning and to contact the university's student affairs or financial aid office for personalized guidance. The university provides resources and assistance to help students identify appropriate funding options, complete application procedures, and meet deadlines. Moreover, some students may qualify for student loans or other financial arrangements through external entities. It is crucial for prospective and current students to regularly check official university communications and the financial aid section of the Izmir University of Economics website for the most accurate and updated information regarding available financing studies, eligibility criteria, application processes, and deadlines related to the Applied Mathematics and Statistics program.

Applied Mathematics and Statistics program at Izmir University of Economics offers a comprehensive curriculum designed to equip students with strong mathematical and statistical skills applicable in various industries. The program emphasizes both theoretical foundations and practical applications, ensuring graduates are well-prepared for careers in data analysis, finance, research, and technology sectors. Students gain expertise in areas such as differential equations, probability theory, statistical inference, data modeling, and computational methods. The curriculum includes coursework in advanced mathematics, programming languages like R and Python, and data management techniques, fostering analytical thinking and problem-solving abilities.

The program is structured to promote hands-on experience through projects, internships, and collaborations with industry partners, enabling students to apply their knowledge to real-world challenges. Faculty members are experienced professionals and researchers who guide students through contemporary topics like machine learning, artificial intelligence, and big data analytics. Additionally, the program encourages participation in seminars, workshops, and research activities to enhance learning and professional development.

Graduates of the Applied Mathematics and Statistics program are prepared for diverse career paths including data analyst, quantitative researcher, operations analyst, and statistical consultant. They can also pursue postgraduate studies to deepen their expertise in specialized fields or engage in academic research. The university provides state-of-the-art facilities and a supportive learning environment to foster innovation and academic excellence. Overall, this program aims to cultivate highly skilled professionals capable of leveraging mathematical and statistical tools to solve complex problems across various domains, contributing both to technological advancement and economic growth.

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