Doctor of Philosophy Program (Ph.D.) in Bioinformatics and Systems Biology
Full Descriptions of Courses are available here
Fundamental Courses |
|
| Course |
Credit Point(s) |
| LNG 550 Remedial English Course for Post Graduate Students |
PASS/FAIL (S/U) |
| LNG 601 Foundation English for International Program |
PASS/FAIL (S/U) |
| BIF 51100 Programming Fundamentals |
PASS/FAIL (S/U) |
| BIF 561 Analysis and Design of Algorithms |
PASS/FAIL (S/U) |
* Students who have a strong background in either biological sciences or computer/information sciences may be exempted from these fundamental courses, as appropriate.
Core Courses |
|
| Course |
Credit Point(s) |
| PhD Track 1.1 |
|
| BIF 792 Seminar in Bioinformatics and Systems Biology III |
PASS/FAIL (S/U) |
| BIF 794 Seminar in Bioinformatics and Systems Biology IV |
PASS/FAIL (S/U) |
| BIF 790 Dissertation |
48 |
| |
|
| PhD Track 2.1 |
|
| BIF 792 Seminar in Bioinformatics and Systems Biology III |
PASS/FAIL (S/U) |
| BIF 794 Seminar in Bioinformatics and Systems Biology IV |
PASS/FAIL (S/U) |
| BIF 791 Dissertation |
36 |
| |
|
| PhD Track 2.2 |
|
| BIF694 Seminar in Bioinformatics and Systems Biology II |
PASS/FAIL (S/U) |
| BIF792 Seminar in Bioinformatics and Systems Biology III |
PASS/FAIL (S/U) |
| BIF794 Seminar in Bioinformatics and Systems Biology IV |
PASS/FAIL (S/U) |
| BIF 50100 Molecular Biology |
2 |
| BIF 62201 Command-Line Techniques for Molecular Biological Data and File Manipulation |
1 |
| BIF 62202 Computational Approaches to Sequence and Structural Bioinformatics |
1 |
| BIF 62203 Sequencing Technologies and Genome Analysis |
1 |
| BIF 62204 Omics Data and Analyses |
1 |
| BIF 62205 Research Project in Bioinformatics |
1 |
| BIF 65201 Basic Biostatistics for Bioinformatics and Systems Biology: Descriptive and Inferential Statistics |
1 |
| BIF 65202 Biostatistics for Data-Driven Analysis |
1 |
| BIF 65203 R for High-Throughput Biological Data Analysis |
1 |
| BIF 633 Data Mining for Bioinformatics |
3 |
| BIF 77201 Network Biology and Qualitative Modeling |
1 |
| BIF 77202 Quantitative Bio-Systems Modeling |
1 |
| BIF 77203 Quantitative Molecular Network Modeling |
1 |
| BIF 77204 AI for Bioinformatics and Systems Biology |
1 |
| BIF 77205 Research Project in Systems Biology |
1 |
| BIF790 Dissertation |
48 |
Elective Courses |
|
| Course |
Credit Point(s) |
| PhD Track 2.1 (12 credits) |
|
| BIF 602 Molecular Biochemistry |
3 |
| BIF 631 Database Systems for Bioinformatics |
3 |
| BIF 641 Systems Analysis and Design |
3 |
| BIF 651 Computational Intelligence for Bioinformatics |
3 |
| BIF 50100 Molecular Biology |
2 |
| BIF 62201 Command-Line Techniques for Molecular Biological Data and File Manipulation |
1 |
| BIF 62202 Computational Approaches to Sequence and Structural Bioinformatics |
1 |
| BIF 62203 Sequencing Technologies and Genome Analysis |
1 |
| BIF 62204 Omics Data and Analyses |
1 |
| BIF 62205 Research Project in Bioinformatics |
1 |
| BIF 62301 Advanced and Emerging Omics Technologies |
1 |
| BIF 62401 Microbiome Data Analysis using Amplicon Sequencing Technology |
1 |
| BIF 62402 Metagenomic Data Analysis |
1 |
| BIF 65201 Basic Biostatistics for Bioinformatics and Systems Biology: Descriptive and Inferential Statistics |
1 |
| BIF 65202 Biostatistics for Data-Driven Analysis |
1 |
| BIF 65203 R for High-Throughput Biological Data Analysis |
1 |
| BIF 633 Data Mining for Bioinformatics |
3 |
| BIF 77201 Network Biology and Qualitative Modeling |
1 |
| BIF 77202 Quantitative Bio-Systems Modeling |
1 |
| BIF 77203 Quantitative Molecular Network Modeling |
1 |
| BIF 77204 AI for Bioinformatics and Systems Biology |
1 |
| BIF 77205 Research Project in Systems Biology |
1 |
| BIF 77300 Network Biology and Omics Data Integration |
1 |
| BIF 77400 Omics Integrated Bio-Systems Modeling |
1 |
| BIF 77501 Modeling Techniques for Computational Cell Biology |
1 |
| BIF 77502 Model Interpretation and Prediction for Cell Biology Problems |
1 |
| BIF 77503 Systems Biomedicine for Personalized Healthcare |
1 |
| BIF 77600 Model-Based Design for Synthetic Biology |
1 |
| BIF 77700 Systems Modeling for Metabolic Engineering |
1 |
| BIF 77800 Plant and Crop Modeling for Smart Farming |
1 |
| IBS 63000 Biosciences Entrepreneurship |
1 |
| |
|
| PhD Track 2.2 (6 credits) |
|
| BIF 602 Molecular Biochemistry |
3 |
| BIF 631 Database Systems for Bioinformatics |
3 |
| BIF 641 Systems Analysis and Design |
3 |
| BIF 651 Computational Intelligence for Bioinformatics |
3 |
| BIF 62301 Advanced and Emerging Omics Technologies |
1 |
| BIF 62401 Microbiome Data Analysis using Amplicon Sequencing Technology |
1 |
| BIF 62402 Metagenomic Data Analysis |
1 |
| BIF 77300 Network Biology and Omics Data Integration |
1 |
| BIF 77400 Omics Integrated Bio-Systems Modeling |
1 |
| BIF 77501 Modeling Techniques for Computational Cell Biology |
1 |
| BIF 77502 Model Interpretation and Prediction for Cell Biology Problems |
1 |
| BIF 77503 Systems Biomedicine for Personalized Healthcare |
1 |
| BIF 77600 Model-Based Design for Synthetic Biology |
1 |
| BIF 77700 Systems Modeling for Metabolic Engineering |
1 |
| BIF 77800 Plant and Crop Modeling for Smart Farming |
1 |
| IBS 63000 Biosciences Entrepreneurship |
1 |
| |
|
Full Descriptions of Courses are available here
Master of Science (M.Sc.) in Bioinformatics and Systems Biology
Full Descriptions of Courses are available here
Fundamental Courses |
|
| Course |
Credit Point(s) |
| LNG 550 Remedial English Course for Post Graduate Students |
PASS/FAIL (S/U) |
| LNG 601 Foundation English for International Program |
PASS/FAIL (S/U) |
| BIF 51100 Programming Fundamentals |
PASS/FAIL (S/U) |
| BIF 561 Analysis and Design of Algorithms |
PASS/FAIL (S/U) |
* Students who have a strong background in either biological sciences or computer/information sciences may be exempted from these fundamental courses, as appropriate.
Core Courses (30 credits) |
|
| Course |
Credit Point(s) |
| BIF692 Seminar in Bioinformatics and Systems Biology I |
PASS/FAIL (S/U) |
| BIF694 Seminar in Bioinformatics and Systems Biology II |
PASS/FAIL (S/U) |
| BIF 50100 Molecular Biology |
2 |
| BIF 62201 Command-Line Techniques for Molecular Biological Data and File Manipulation |
1 |
| BIF 62202 Computational Approaches to Sequence and Structural Bioinformatics |
1 |
| BIF 62203 Sequencing Technologies and Genome Analysis |
1 |
| BIF 62204 Omics Data and Analyses |
1 |
| BIF 62205 Research Project in Bioinformatics |
1 |
| BIF 65201 Basic Biostatistics for Bioinformatics and Systems Biology: Descriptive and Inferential Statistics |
1 |
| BIF 65202 Biostatistics for Data-Driven Analysis |
1 |
| BIF 65203 R for High-Throughput Biological Data Analysis |
1 |
| BIF 633 Data Mining for Bioinformatics |
3 |
| BIF 77201 Network Biology and Qualitative Modeling |
1 |
| BIF 77202 Quantitative Bio-Systems Modeling |
1 |
| BIF 77203 Quantitative Molecular Network Modeling |
1 |
| BIF 77204 AI for Bioinformatics and Systems Biology |
1 |
| BIF 77205 Research Project in Systems Biology |
1 |
| BIF 698 Thesis |
12 |
| |
|
Elective Courses (6 credits) |
|
| Course |
Credit Point(s) |
| BIF 602 Molecular Biochemistry |
3 |
| BIF 631 Database Systems for Bioinformatics |
3 |
| BIF 641 Systems Analysis and Design |
3 |
| BIF 651 Computational Intelligence for Bioinformatics |
3 |
| BIF 62301 Advanced and Emerging Omics Technologies |
1 |
| BIF 62401 Microbiome Data Analysis using Amplicon Sequencing Technology |
1 |
| BIF 62402 Metagenomic Data Analysis |
1 |
| BIF 77300 Network Biology and Omics Data Integration |
1 |
| BIF 77400 Omics Integrated Bio-Systems Modeling |
1 |
| BIF 77501 Modeling Techniques for Computational Cell Biology |
1 |
| BIF 77502 Model Interpretation and Prediction for Cell Biology Problems |
1 |
| BIF 77503 Systems Biomedicine for Personalized Healthcare |
1 |
| BIF 77600 Model-Based Design for Synthetic Biology |
1 |
| BIF 77700 Systems Modeling for Metabolic Engineering |
1 |
| BIF 77800 Plant and Crop Modeling for Smart Farming |
1 |
| IBS 63000 Biosciences Entrepreneurship |
1 |
* Students with a background in biological sciences are encouraged to select computer science electives, while students with a computer science background are advised to register for biological science courses.
Full Descriptions of Courses are available here