Financial Mathematics (Without Thesis) Program

Study mode:On campus Study type:Full-time Languages: English
Local:$ 10 k / Year(s) Foreign:$ 10 k / Year(s)  
StudyQA ranking:2508 Duration:2 years

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Financial Mathematics is the branch of applied mathematics concerned with the financial markets. It overlaps heavily with the fields of financial engineering and computational finance. Arguably, all three terms are synonymous. The subject naturally has a close relationship with the discipline of financial economics, but financial mathematics is narrower in scope and more abstract. A central difference is that while a financial economist might study the structural reasons why a company may have a certain share price, a mathematician or financial engineer may take the share price as a given, and attempt to use stochastic calculus to obtain the fair value of derivatives of the stock.

Financial Mathematics is a flourishing area of modern science. Its numerous applications have become vital to the day to day functioning of the world’s financial institutions. As a consequence, a solid command of the principles and techniques of quantitative finance is essential for a responsible approach to the trading, asset management, and risk control of complicated financial positions.

Many countries’ financial sectors have enjoyed unparalleled expansion over the past decade and opportunities have emerged for careers in numerous areas of the financial system. With the integration of financial markets in Europe and elsewhere new job opportunities are appearing all the time.

Within the manufacturing and service sectors of economies, financial analysis is becoming increasingly technical and the range of alternative financial instruments available to firms is expanding rapidly. There is increasing demand for employees with an understanding of the new tools and the ability to apply them.

 

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
ECON 527   Financial Economics 3 0 3 7.5
ELEC 001   Elective Course I 3 0 3 7.5
MATH 555   Financial Mathematics 3 0 3 7.5
STAT 503   Probability Theory 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
FM 506   Stochastic Processes in Finance 3 0 3 7.5
GSNS 595   Seminar 0 0 0 7.5
ITF 507   Corporate Financial Management 3 0 3 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 003   Elective Course III 3 0 3 7.5
ELEC 004   Elective Course IV 3 0 3 7.5
ELEC 005   Elective Course V 3 0 3 7.5
FM 597   Term Project 0 0 0 7.5
Total : 30
Elective Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ECON 517   Financial Econometrics 3 0 3 7.5
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 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 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

The students studying in this second cycle program without thesis are required:

to take a minimum of 10 courses with a minimum of 30 local credits and a non-credit semester project which is graded on a pass/fail basis.

to succeed in all the courses with a letter grade of at least CC/S 

to have a Cumulative Grade Point Average of at least 3.00/4.00 with a minimum of 90 ECTS credits.

B-2 FOREIGN NATIONALS:

To hold an Undergraduate Degree Diploma from a (4 year) higher education institution that is recognized by the Higher Education Board

To graduate from undergraduate program (4 year) of Departments of Industrial Engineering, System Engineering, Computer Sciences, Computer Engineering, Software Engineering, Electrical/ Electronics/Telecommunication Engineering, Information, Computer and Teaching Technologies Teaching,  Computer Education, Electrical Electronics Education, Computer Technologies, Mechatronics,  Mathematics, Physics, Business Administration, Logistics Management, or related departments to apply for Intelligent Engineering Systems master program,

To graduate from undergraduate program (4 year) of Departments Architecture, Interior Architecture, City and Regional Planning, and other related design fields to apply for Architecture master program,

To be exempt from foreign language proficiency, students need to meet the below requirements:

To be graduated from a higher education program in which the medium of instruction is the same language as in the master program applied for within three years following their graduation,

 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 )

65

UDS ( Interuniversity Foreign Language Exam )

65

YDS (Foreign Language Placement Exam)

65

IYS (IUE Proficiency in English Exam)

65

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