General Description
Master of science education is given in the department since 1991.
Master of science degree is given.
Second Cycle
4
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.
6
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.
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2.
Theoretical and practical knowledge to use at the level of expertise.
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3.
Interpret the information by integrating information from different disciplines and create new information
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4.
Analyze the problems encountered in using research methods
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5.
As an independent specialist to conduct a study.
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6.
Applications for the solution of complex problems encountered in developing the new approaches and unpredictable and formulate a solution by taking responsibility.
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7.
Ability to resolve problems in environments that require leadership.
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8.
Knowledge and skills to evaluate critically the level of expertise and learning to direct.
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9.
Transfering current developments and their work written, oral and visual way supporting with quantitative and qualitative data.
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10.
To use information and communication technologies with advanced computer software
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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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9
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.
12
Graduation Requirements
Institute’s regulations are valid.
Part-Time
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Address and Contact Details
Prof.Dr. İlker ERCAN
Uludağ Üniversitesi Tıp Fakültesi
Biyoistastistik Anabilim Dalı
Bursa
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 |