Second Cycle Programmes    (Master's Degree)
II. Master (non-thesis EE) - Institute of Social Sciences - Business Administration - Quantitative Methods
General Description  |  Key Learning Outcomes  |  Course Structure Diagram with Credits
General Description ^
History
this programme started student acceptance in 2000-2001 This program that in "Türkiye Cumhuriyeti Marmara Üniveristesi Sosyal Bilimler Enstitüsü" in quantitative methods main science This program has consistently educated since 2000- 2001 . on the other words this programme stared the education on this Marmara University since two thousand and two thousand one This program (in marmara university) has consistently educated since 2000 - -2001
Qualification Awarded
Graduate
Specific Admission Requirements
It needs results of ales, undergraduate degree, interview exam. The detail of these requirements are published on http://sbe.marmara.edu.tr in every term of acceptance
Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)
this is formal in this programme that Quantitative Methods graduate of Specific Arrangements For Recognition Of Prior Learning is formal. While Business and Economics and other graduate, graduates directly enters the master programme, Business and Economics and the other graduate
Qualification Requirements and Regulations
the under graduate that successfully finish, to take adequate score on Ales and to pass interview examination. Details are on http://sbe.marmara.edu.tr
Profile of The Programme
The Marmara University social science institute quantitative methods graduate (master) program contains totally Ten lessons that are each term five lessons. first term includes five lessons and second term includes five lessons The students that in quantitative methods graduate program (non thesis) prepare project
Occupational Profiles of Graduates With Examples
academician , banker, manager, manager of administration, product planner, sales planner, risk specialist, quality checker for example Occupational Profiles of Graduates plannıg department in the bank or in the company , product planner in the company or actuarial sector, on the other hand on qualt department, quality checker.
Access to Further Studies
in the Marmara University social science institute quantitative methods graduate non thesis program, our graduates may educate national on the other hands in Turkey or international doctorate programmes. Quantitative methods graduate program graduates may educate in nation or internation school on doctorade programmes
Examination Regulations, Assessment and Grading
in the marmara university social science institute quantitative methods graduate (non thesis) program ,Midterm exams % 40 ( forty percent) of score and final exams score of %60 (sixty percent) final and midterm exam are written examinations. for details http://sbe.marmara.edu.tr and then http://sbe.marmara.edu.tr adress includes more information in this issue (Examination Regulations, Assessment and Grading )
Graduation Requirements
in the marmara university social science institute quantitative methods graduate program,The students deserve graduate by completing their lessons in first two terms that first term is fall and second term is spring on the other hand two terms with sucessful and submiting project .
Mode of Study (Full-Time, Part-Time, E-Learning )
Full-Time
Address, Programme Director or Equivalent
Chief of department: Prof. dr. İsmail Hakkı ARMUTLULU Adress: Marmara Üniversitesi İİBF İşletme Bölümü Bahçelievler yerleşkesi Bahçelievler / İSTANBUL Telephone: 0212 - 507 99 25 / 1466 Web: http://www.marmarasayisal.com
Facilities
in the marmara university social science institute quantitative methods graduate program Our students take advantage of the library of quantative methods and then in the marmara university social science institute quantitative methods graduate program include one profesor, two associate profesor, one assistant professor and one lecturer and four researcher.in our university there are one big library and computer center.
Key Learning Outcomes ^
1 know making decision models under uncertainty
2 know deterministic decision models
3 know stochastic decision models and applying programs
4 improve decision making under risk
5 analysis the technics that is used survey
6 use computer effectively
7 calculate in money and capital market
8 know multivalued analysis techniques
9 survey in marketing and finance
10 know math and risk models
11 improve seperating compact datas
12 know social security
13 know problems that enterprise encounters
14 propose quantative solution problems that turn up in enterprise,
15 have talent that makes sense of datas and comments
16 offer quantative solutions in functions of management expecially planning and control issues
Course Structure Diagram with Credits ^
T : Theoretical P: Practice

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