Bilgi Paketi & Ders Kataloğu
Türkçe English Curriculum Key Learning Outcomes
Medical Biostatistics
General Description
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Brief History
Master of science education is given in the department since 1991.
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Qualification Awarded
Master of science degree is given.
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Level of Qualification
Second Cycle
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Specific Admission Requirements
Institute’s regulations are valid.
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Specific arrangements for the recognition of prior learning
The provisions in “Regulation on Transfer among Associate and Undergraduate Degree Programs, Double Major, and Subspecialty and the Principals of Credit Transfer among Institutions in Higher Education Institutions” are applied.
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Qualification Requirements and Regulations
Institute’s regulations are valid.
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Profile of The Programme
Aims of master of science degree are interpreting and analyzing complex problems in a simple way to gain, using an observation method in the field of health care information to uncover the mysterious, acquire methodological skills, figure out the pattern of the area of health data, dependence of the probability and chance to understand, to comprehend interpretive skills and develop statistical thinking, Develop communication skills in order to provide Statistical terminology.
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Key Learning Outcomes & Classified & Comparative
1. To understand the interdisciplinary interaction releated with biostatistics.
2. Theoretical and practical knowledge to use at the level of expertise.
3. Interpret the information by integrating information from different disciplines and create new information
4. Analyze the problems encountered in using research methods
5. As an independent specialist to conduct a study.
6. Applications for the solution of complex problems encountered in developing the new approaches and unpredictable and formulate a solution by taking responsibility.
7. Ability to resolve problems in environments that require leadership.
8. Knowledge and skills to evaluate critically the level of expertise and learning to direct.
9. Transfering current developments and their work written, oral and visual way supporting with quantitative and qualitative data.
10. To use information and communication technologies with advanced computer software
11. Data collection, interpretation, implementation and declaration stages of the social, scientific, cultural and ethical values, considering the update intervals and teaching
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Occupational Profiles of Graduates With Examples
Research Centers, Private and Public hospitals, Ministry of Health
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Access to Further Studies
Institute’s regulations are valid.
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Examination Regulations, Assessment and Grading
Institute’s regulations are valid.
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Graduation Requirements
Institute’s regulations are valid.
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Mode of Study
Part-Time
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Address and Contact Details
Prof.Dr. İlker ERCAN
Uludağ Üniversitesi Tıp Fakültesi
Biyoistastistik Anabilim Dalı
Bursa
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Facilities
The number of academic teaching staff is 2 in Uludag Üniversitesi faculty of Medicine Department of Biostatistics. There are two separate analysis laboratories for researhers and students. There are one Workstation, 8 computer, 3 printer, one scanner and few licensed statistical software. 32 computer exist in student laboratory.
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Curriculum
1. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
SAB 5001 BIOSTATISTICS Compulsory 2 2 0 5
TBY5003 ADVANCED BIOSTATISTICS Compulsory 3 0 0 4
TBY5005 REGRESSION ANALYSIS I Compulsory 3 0 0 4
TBY5007 DATA ANALYSIS WITH STATISTICAL PACKET SOFTWARE I Compulsory 1 2 0 3
TBY5009 NON-PARAMETRIC METHODS Compulsory 3 0 0 3
TBY5011 SURVIVAL ANALYSIS I Compulsory 3 0 0 3
TBY5013 MULTIVARIATE ANALYSIS I Compulsory 3 0 0 3
TBY5015 BIOSTATISTICS LABORATORY Compulsory 0 2 0 2
TBY5175 DISSERTATION SUPERVISION I Compulsory 0 1 0 1
Click to choose optional courses. 2
Total 30
2. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
SAB 5002 BIOSTATISTICS Compulsory 2 2 0 5
TBY5004 SAMPLING Compulsory 2 0 0 4
TBY5172 GRADUATE SEMINAR (COURSE) Compulsory 0 2 0 5
TBY5172 SEMINAR Compulsory 0 2 0 5
TBY5176 DISSERTATION SUPERVISION II Compulsory 0 1 0 1
Click to choose optional courses. 10
Total 30
3. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY5173 SEMINAR Compulsory 0 2 0 5
TBY5183 M.A. SPECIALISED FIELD COURSE III Compulsory 4 0 0 5
TBY5191 DISSERTATION STUDY I Compulsory 0 1 0 20
Total 30
4. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY5184 M.A. SPECIALISED FIELD COURSE IV Compulsory 4 0 0 5
TBY5192 DISSERTATION STUDY II Compulsory 0 1 0 25
TBY5194 DISSERTATION SUPERVISION Compulsory 0 1 0 25
Total 55
5. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
Total 0
1. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY5017 RESEARCH METHODS Optional 2 0 0 3
TBY5021 GENERAL MEDICINE KNOWLEDGE Optional 1 0 0 2
TBY5181 M.A. SPECIALISED FIELD COURSE I Optional 4 0 0 5
MBG5400 MOLECULAR BIOLOGY OF THE GENE Optional 3 0 0 7
MBG5425 FUNCTIONAL GENOMICS Optional 3 0 0 6
2. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY 5006 RELIABILITY AND VALIDITY ANALYSIS Optional 2 0 0 5
TBY 5010 CATEGORICAL DATA ANALYSIS Optional 2 0 0 5
TBY 5012 LINEAR AND NON-LINEAR MODELS Optional 2 0 0 5
TBY 5014 SURVIVAL ANALYSIS II Optional 2 0 0 5
TBY 5016 STOCHASTIC PROCESSES Optional 2 0 0 5
TBY 5018 SIMULATION TECHNIQUES Optional 1 2 0 5
TBY 5020 DATA MINING Optional 2 0 0 5
TBY 5022 SCIENTIFIC RESEARCH AND PUBLICATION ETHICS IN MEDICINE Optional 1 0 0 1
TBY5008 REGRESSION ANALYSIS II Optional 3 0 0 4
TBY5182 M.A. SPECIALISED FIELD COURSE II Optional 4 0 0 5
Bologna İletişim
Mail : bologna@uludag.edu.tr
Tasarım & Kodlama
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otomasyon@uludag.edu.tr