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:3525 Duration:2 years

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The Bachelor’s Degree Program in Financial Mathematics (Without Thesis) at Izmir University of Economics is a comprehensive undergraduate program designed to equip students with the essential mathematical and computational skills necessary for the modern finance industry. This program aims to prepare students for diverse career paths in banking, financial analysis, risk management, investment consulting, insurance, and financial technology sectors. Throughout the program, students gain a solid foundation in advanced mathematics, including calculus, linear algebra, probability theory, and stochastic processes, which are fundamental for modeling and analyzing financial markets. Additionally, the curriculum emphasizes quantitative methods, including statistical analysis and programming, enabling students to develop and implement financial models and algorithms effectively.

The program also covers essential topics in finance, such as financial markets and instruments, portfolio management, derivatives, and financial engineering, providing a strong theoretical understanding combined with practical applications. Instructors utilize state-of-the-art software tools and simulations to ensure students acquire hands-on experience in financial data analysis and modeling. The program’s structure encourages critical thinking, problem-solving, and analytical skills, fostering graduates who are prepared to address complex financial challenges in various sectors.

Students have opportunities for internships and project collaborations with industry partners, allowing them to gain real-world experience and professional connections. The curriculum is designed to be flexible, supporting students’ individual interests through elective courses in areas such as actuarial sciences, computational finance, and data science. Graduates of this program will be well-prepared for employment in finance institutions, consulting firms, regulatory agencies, and further academic pursuits. The program emphasizes a strong ethical foundation and responsible decision-making, vital qualities in the financial industry. With a rigorous academic approach and a focus on practical skills, the Financial Mathematics (Without Thesis) program at Izmir University of Economics aims to produce highly capable professionals ready to contribute to the evolving financial landscape.

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

The Financing studies for the Bachelor's degree program in Financial Mathematics (Without Thesis) at Izmir University of Economics encompass a comprehensive analysis of financial management, investment strategies, and the application of mathematical methods to finance. The curriculum is designed to equip students with the quantitative and analytical skills necessary for effective financial decision-making in various sectors, including banking, insurance, and investment firms. Students gain a solid understanding of financial markets, financial instruments, and risk management, supported by coursework in economics, statistics, and applied mathematics.

Financial Mathematics students study core topics such as calculus, linear algebra, and probability theory, which underpin financial modeling techniques. The program emphasizes practical skills through case studies, computer simulations, and use of specialized financial software. Students are introduced to contemporary financial theories and practices, including asset valuation, portfolio optimization, derivatives pricing, and financial forecasting. In addition, the program encourages the development of problem-solving abilities and strategic thinking necessary for complex financial analysis.

Internship opportunities are often available in collaboration with financial institutions and related industries, allowing students to gain real-world experience and industry insights. The program also fosters an understanding of regulatory environments and ethical standards pertinent to financial activities. Graduates of this program are prepared for roles such as financial analyst, risk analyst, financial planner, and other positions requiring advanced quantitative expertise. The program's structure ensures students build a strong foundation in financial mathematics, complemented by courses in economics and management, preparing them for both immediate employment and future graduate studies in related fields. Overall, the Financing studies provide a rigorous and practical education designed to meet the evolving demands of the global financial industry.

Financial Mathematics (Without Thesis) at Izmir University of Economics is a comprehensive undergraduate program designed to prepare students for careers in financial analysis, risk management, and quantitative finance. The program emphasizes a strong foundation in mathematics, statistics, and financial theory, combining these disciplines to equip graduates with the skills necessary to analyze and solve complex financial problems. Throughout the course of study, students will engage with topics such as calculus, linear algebra, probability theory, financial derivatives, investment analysis, and computational methods. The curriculum aims to develop not only theoretical understanding but also practical skills through case studies, project work, and internships, fostering a well-rounded education tailored to the needs of the financial industry.

The program is structured to ensure students gain proficiency in key areas such as financial modeling, data analysis, and programming, often utilizing software tools like MATLAB, R, and Python. A notable aspect of the program is its focus on real-world applications, enabling students to interpret financial data, develop quantitative models, and make informed financial decisions. This prepares graduates to work in banks, investment firms, insurance companies, and regulatory institutions, as well as in consultancy and risk management roles. The curriculum is designed to balance rigorous mathematical training with the development of practical competencies, ensuring graduates are adaptable and highly employable upon graduation.

Students enrolled in the program benefit from the university’s modern facilities, experienced faculty, and strong ties with the financial sector, which facilitate internships and cooperative education opportunities. The program does not include a thesis component, instead focusing on coursework, projects, and possibly internships to conclude the study, which allows students to engage practically with financial challenges and develop industry-ready skills. The program's language of instruction is primarily English, and it aims to prepare students to work both nationally and internationally.

Graduates of the Financial Mathematics program are expected to possess analytical thinking, problem-solving capabilities, and technical expertise necessary to interpret complex financial information. They will be able to assess financial risks, value financial instruments, and develop strategies based on quantitative analysis. The program also prepares students for postgraduate study in finance, economics, or related fields, furthering their academic and professional development. Overall, this program at Izmir University of Economics offers a solid pathway for students interested in the intersection of mathematics and finance, providing them with valuable skills in a dynamic, fast-growing sector of the economy.

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