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
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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.
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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 |
| TBY5003 |
ADVANCED BIOSTATISTICS |
Compulsory |
3 |
0 |
0 |
2 |
| TBY5005 |
REGRESSION ANALYSIS I |
Compulsory |
3 |
0 |
0 |
2 |
| TBY5007 |
DATA ANALYSIS WITH STATISTICAL PACKET SOFTWARE I |
Compulsory |
3 |
0 |
0 |
2 |
| TBY5009 |
NON-PARAMETRIC METHODS |
Compulsory |
3 |
0 |
0 |
2 |
| TBY5013 |
MULTIVARIATE ANALYSIS I |
Compulsory |
3 |
0 |
0 |
2 |
| TBY5015 |
BIOSTATISTICS LABORATORYI |
Compulsory |
1 |
2 |
0 |
3 |
| TBY5017 |
RESEARCH METHODS |
Compulsory |
2 |
0 |
0 |
2 |
| TBY5191 |
DISSERTATION SUPERVISION I |
Compulsory |
0 |
1 |
0 |
1 |
|
Click to choose optional courses.
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|
|
|
|
9 |
| 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 |
3 |
0 |
0 |
2 |
| TBY5024 |
BIOSTATISTICS LABORATORY II |
Compulsory |
1 |
2 |
0 |
11 |
| TBY5172 |
GRADUATE SEMINAR (COURSE) |
Compulsory |
0 |
2 |
0 |
5 |
| TBY5192 |
DISSERTATION SUPERVISION II |
Compulsory |
0 |
1 |
0 |
1 |
|
Click to choose optional courses.
|
|
|
|
|
6 |
| 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 |
| TBY5193 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
20 |
| TBY5193 |
MA THESIS III |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
55 |
| 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 |
| TBY6194 |
DISSERTATION SUPERVISION IV |
Compulsory |
0 |
1 |
0 |
20 |
| Total |
|
50 |
| 1. Semester Optional Courses |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY5011 |
SURVIVAL ANALYSIS I |
Optional |
3 |
0 |
0 |
2 |
| TBY5017 |
NETWORK SCIENCE |
Optional |
2 |
0 |
0 |
2 |
| TBY5019 |
DEMOGRAPHY |
Optional |
2 |
0 |
0 |
2 |
| TBY5021 |
GENERAL MEDICINE KNOWLEDGE |
Optional |
1 |
0 |
0 |
2 |
| TBY5181 |
M.A. SPECIALISED FIELD COURSE I |
Optional |
4 |
0 |
0 |
5 |
| MBG5425 |
FUNCTIONAL GENOMICS |
Optional |
3 |
0 |
0 |
6 |
| 2. Semester Optional Courses |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY5006 |
RELIABILITY AND VALIDITY ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY5008 |
REGRESSION ANALYSIS II |
Optional |
2 |
0 |
0 |
2 |
| TBY5010 |
CATEGORICAL DATA ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY5012 |
LINEAR AND NON-LINEAR MODELS |
Optional |
2 |
0 |
0 |
2 |
| TBY5014 |
SURVIVAL ANALYSIS II |
Optional |
2 |
0 |
0 |
2 |
| TBY5016 |
STOCHASTIC PROCESSES |
Optional |
2 |
0 |
0 |
2 |
| TBY5018 |
SIMULATION TECHNIQUES |
Optional |
2 |
0 |
0 |
2 |
| TBY5020 |
DATA MINING |
Optional |
2 |
0 |
0 |
2 |
| TBY5022 |
SCIENTIFIC RESEARCH AND PUBLICATION ETHICS IN MEDICINE |
Optional |
1 |
0 |
0 |
1 |
| TBY5182 |
M.A. SPECIALISED FIELD COURSE II |
Optional |
4 |
0 |
0 |
5 |
