Profile of the Program

The Applied Mathematics M.Sc. program practiced by the Department of Mathematics and Computer Science enables the students to conduct advanced research for application in the fields of Engineering, Medicine, Physics, Biology, Computer Sciences under the supervision of advisors. The Applied Mathematics M.Sc. program is designed to enable the graduates to have a successful academic career and carry out scientific research.

Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of science

Level of Qualification

This is a program.

Specific Admission Requirements

In order to study in this program, the applicants are required 1. to hold an undergraduate degree from an accredited institution, 2. to have a GPA of minimum 2.0 out of 4.00 or equivalence in undergraduate programs, 3. to hold minimum EA 55 points from ALES(Academic Personnel and Graduate Education Exam held in Turkey) or minimum 610 points from “quantitative” part of GRE (Graduate Record Examination), to be successful in scientific exam (written-oral) 3. to be successful in the scientific interview, 4. to submit at least one Letter of Recommendation.

Qualification Requirements and Regulations

The students studying in this second cycle program with thesis are required: 1. to take a minimum of 7 courses with a minimum of 21 local credits, one seminar course, and a thesis. (The seminar and thesis are non-credit and graded on a pass/fail basis.) 2. to succeed in all the courses with a letter grade of at least C/S 3. to have a Cumulative Grade Point Average of at least 3.00/4.00 with a minimum of 120 ECTS credits.

Recognition of Prior Learning

At Bahcesehir University, full-time students can be exempted from some courses within the framework of the related bylaws. If the content of the course previously taken in another institution is equivalent to the course offered at BAU, then the student can be exempted from this course with the approval of the related faculty/graduate school after the evaluation of the course content.

Occupational Profiles of Graduates

The need for experts to analyze data gathered to gain appropriate qualifications in line with international standards and use these qualifications is increasing day by day in this new information age. For this reason, mathematical analyses have become an indispensable element for various industries. Graduates of Master's program may have the opportunity to work in a variety of departments of public institutions such as Turkish State Planning Organization,Turkish Statistical Institute, banking, insurance and finance sector, R & D and information technology departments of leading companies.The PhD program of Applied Mathematics and Statistics is prepared to gain its graduates a successful academic career in the departments of mathematics, economics, statistics and engineering in high quality universities and the ability of making scientific research in research institutions.

Access to Further Studies

The students graduating from this program may apply to doctorate programs

Program Outcomes

1 Ability to assimilate mathematic related concepts and associate these concepts with each other.
2 Ability to gain qualifications based on basic mathematical skills, problem solving, reasoning, association and generalization.
3 Be able to organize events, for the development of critical and creative thinking and problem solving skills, by using appropriate methods and techniques.
4 Ability to make individual and team work on issues related to working and social life.
5 Ability to transfer ideas and suggestions, related to topics about his/her field of interest, written and verball.
6 Ability to use mathematical knowledge in technology.
7 To apply mathematical principles to real world problems.
8 Ability to use the approaches and knowledge of other disciplines in Mathematics.
9 Be able to set up and develope a solution method for a problem in mathematics independently, be able to solve and evaluate the results and to apply them if necessary.
10 To be able to link abstract thought that one has to concrete events and to transfer the solutions and examine and interpret the results scientifically by forming experiments and collecting data.
11 To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.
12 To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,

Course & Program Outcomes Matrix

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
Program Outcomes 1 2 3 4 5 6 7 8 9 10 11 12
ISM5101 Research Methods and Ethics
MAT5001 Abstract Algebra I 5 5 4 4 5 3
MAT5005 Kinematics 5 5 5 4 4 4 4 4 4 4 4 4
MAT5007 Real Analysis 4 4 5 5 4 4 5 5 5 5
MAT5887 Seminar 5 5 5 4 5 5 4 3 5 3 5 5
MAT5888-1 Master Thesis 2 3 3 4 4 4 5 5 5 5 5 5
MAT5888-2 Master Thesis 2 3 3 4 4 4 5 5 5 5 5 5
Departmental Elective
AKB5001 Statistical Models in Insurance
AKB5003 Life Insurance Mathematics I
AKB5004 Actuarial Risk Analysis
AKB5007 Life Insurance Mathematics II
AKB5100 Economics
EEE5022 Applied Statistics
FİZ5035 Classical Mechanics I
FİZ5036 Classical Electrodynamics I
FİZ5037 Quantum Mechanics I
FİZ5038 Solid State Physics I
FİZ5039 Statistics Mechanics I
MAT5001 Abstract Algebra I
MAT5002 Abstract Algebra II
MAT5003 Linear Algebra and Its Applications
MAT5004 Differential Geometry
MAT5005 Kinematics
MAT5006 Topology
MAT5007 Real Analysis
MAT5008 Complex Analysis
MAT5009 Functional Analysis I
MAT5010 Numerical Analysis
MAT5011 Differential Equations I
MAT5012 Numerical Solutions to Differential Equations I
MAT5013 Partial Differential Equations
MAT5014 Boundary Value Problems
MAT5015 Mathematical Programming and Modelling
MAT5016 Optimization
MAT5017 Probability
MAT5018 Statistics I
MAT5019 Applied Statistical Analysis
MAT5020 Biostatistics Methods
MAT5021 Time Series Analysis
MAT5022 Stochastic Processes I
MAT5023 Introduction to Mathematical Finance
MAT5024 Risk Management
MAT5025 Mathematical Finance
MAT5026 Stochastic Calculations in Finance
MAT5027 Calculation Modules in Finance
MAT5028 Fixed Income Securities and Credit Risk
MAT5029 Financial Risk Analysis
MAT5030 Teaching and Learning Mathematics
MAT5031 Assessment in Mathematics Education
MAT5032 Curriculum Studies in Mathematics
MAT5033 Communication and Technology in Mathematical Education
MAT5034 The World Wide Web as an Educational Resource
MAT5101 Engineering Mathematics

Course Structure Diagram with Credits

1. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
MAT5001 Abstract Algebra I 3 0 3 8
MAT5007 Real Analysis 3 0 3 8
Departmental Elective 3 6
Departmental Elective 3 8
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
ISM5101 Research Methods and Ethics 1 0 1 2
MAT5005 Kinematics 3 0 3 8
MAT5887 Seminar 0 0 0 10
Departmental Elective 3 8
Departmental Elective 3 8
Total 36
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
MAT5888-1 Master Thesis 0 0 0 20
Total 20
4. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
MAT5888-2 Master Thesis 0 0 0 30
Total 30

Program Director (or Equivalent)


Program Coordinator

Telephone: +90