Course Structure Diagram with Credits

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 App/Lab Local Credits ECTS
ECON 527 Financial Economics 3 0 3 7.5
ELEC 001 Elective Course I 3 0 3 7.5
ELEC 002 Elective Course II 3 0 3 5
ELEC 003 Elective Course III 3 0 3 5
ELEC 004 Elective Course IV 3 0 3 5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
ELEC 005 Elective Course V 3 0 3 7.5
ELEC 006 Elective Course VI 3 0 3 5
ELEC 007 Elective Course VII 3 0 3 5
ELEC 008 Elective Course VIII 3 0 3 5
FM 597 Term Project 0 0 0 2.5
ITF 507 Corporate Financial Management 3 0 3 5
Total : 30
Elective Courses
Code Pre. Course Name Theory App/Lab Local Credits ECTS
ECON 517 Financial Econometrics 3 0 3 7.5
FM 506 Stochastic Processes in Finance 1 4 3 5
FM 520 Independent Studies in Financial Mathematics I 1 4 3 5
FM 521 Independent Studies in Financial Mathematics II 1 4 3 5
FM 551 Scientific Computation and Simulation in Finance 3 0 3 7.5
IE 502 Probabilistic Systems Analysis 3 0 3 7.5
IES 508 System Simulation and Modeling 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
INS 501 Insurance Mathematics I: General Insurance 3 0 3 7.5
INS 551 Advanced Actuarial Mathematics 3 0 3 7.5
INS 552 Applied Actuarial Management 3 0 3 7.5
MATH 504 Statistics 3 0 3 7.5
MATH 505 Advanced Mathematical Analysis 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 601 Differential Equations 3 0 3 7.5
MATH 602 Advanced Linear Algebra and Optimization 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
STAT 601 Probability Theory and Mathematical Statistics 3 0 3 7.5
Additional Notes

The students are required to take 60 ECTS in total in order to complete the master program without thesis.

In order to graduate from the program without thesis, students must take at least 4 elective courses from 8 elective courses and elective courses from any FBE undergraduate programs and successfully complete FM 597 Semester Project course.

Students can choose undergraduate courses with up to three "MATH", "ECON" and "ITF" courses, provided that they have not been taken during the undergraduate study with the EYK decision.

 

If you need support for these courses due to your disability, please refer to Disability Support Unit. Contact; engelsiz@ieu.edu.tr

Curriculum (Before 2013)