Türkçe English Curriculum Key Learning Outcomes
Medical Biostatistics
General Description
1
Brief History
Master of science education is given in the department since 1991.
2
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.
5
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.
7
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.
13
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.
1. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
SAB 5001 BIOSTATISTICS Compulsory 2 2 0 5
TBY 5001 REGRESSION ANALYSIS I Compulsory 3 0 0 2
TBY 5003 DATA ANALYSIS WITH STATISTICAL PACKET SOFTWARE I Compulsory 3 0 0 2
TBY 5005 MULTIVARIATE ANALYSIS I Compulsory 3 0 0 2
TBY 5007 NON-PARAMETRIC METHODS Compulsory 3 0 0 2
TBY 5009 GENERAL MEDICINE KNOWLEDGE Compulsory 1 2 0 3
TBY5005 MULTIVARIATE ANALYSIS Compulsory 4 0 0 8
TBY5191 DISSERTATION SUPERVISION I Compulsory 0 1 0 1
Click to choose optional courses. 5
Total 30
2. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
SAB 5002 BIOSTATISTICS Compulsory 2 2 0 5
TBY 5002 ADVANCED BIOSTATISTICS Compulsory 3 0 0 2
TBY 5004 SAMPLING Compulsory 3 0 0 2
TBY 5006 SCIENTIFIC RESEARCH AND PUBLISHING ETHICS Compulsory 1 0 0 1
TBY 5008 STOCHASTIC PROCESSES Compulsory 1 2 0 11
TBY 5010 SURVIVAL ANALYSIS I Compulsory 3 0 0 2
TBY 5012 MULTIVARIATE ANALYSIS II Compulsory 3 0 0 2
TBY 5172 SEMINAR Compulsory 0 2 0 5
TBY5192 DISSERTATION SUPERVISION II Compulsory 0 1 0 1
Click to choose optional courses. -1
Total 30
3. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY 5193 MA THESIS III Compulsory 0 1 0 25
TBY5183 M.A. SPECIALISED FIELD COURSE III Compulsory 4 0 0 5
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
TBY5194 DISSERTATION SUPERVISION Compulsory 0 1 0 25
Total 30
1. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY 5011 RESEARCH METHODS Optional 2 0 0 2
TBY 5013 DEMOGRAPHY Optional 2 0 0 2
TBY 5015 GENERAL MEDICINE KNOWLEDGE Optional 1 0 0 2
TBY 5017 NETWORK SCIENCE Optional 2 0 0 2
TBY 5181 M.A. SPECIALISED FIELD COURSE I Optional 4 0 0 5
TBY5019 SPECIAL TOPICS IN STATISTICS Optional 2 0 0 2
2. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
TBY 5014 SURVIVAL ANALYSIS I Optional 2 0 0 2
TBY 5016 DATA MINING Optional 2 0 0 2
TBY 5018 DIAGNOSTIC TESTS Optional 2 0 0 2
TBY5024 SCALE COMPOSING AND ANALYSIS Optional 2 0 0 2
TBY5182 M.A. SPECIALISED FIELD COURSE II Optional 4 0 0 5
Bologna İletişim
Mail : bologna@uludag.edu.tr
Tasarım & Kodlama
Bilgi İşlem Daire Başkanlığı © 2015
otomasyon@uludag.edu.tr