Ph.D. Program

Program Specialization

Ph.D. program in Bioinformatics and Computational Biology is a joint effort of the Faculty of Science and Faculty of Medicine, Chulalongkorn University. The program has study plans for both applicants who hold a bachelor’s degree and applicants who hold a master’s degree in any related fields of study. The program provides several courses in biology, mathematics, and computer science for students to gain important knowledge to carry out their research in bioinformatics and computational biology. The structures of the program are as follows

(For those in the program prior to the academic year 2018, click here)

 

Type 1 Non-coursework programs

Type 2 Coursework programs

 

Curriculum	Type 1.1	Type 1.2	Type 2.1	Type 2.2
Coursework Credit	–	–	12	24
Required Courses	–	–	9	9
Required Elective Courses	–	–	3	6
Free Elective Courses	–	–	–	9
Total Dissertation Credit	48	72	36	48
Total Credit	48	72	48	72

Notes:

1. In the semester not registering for 2028601 Seminar in Computational Biology I or 2028602 Seminar in Computational Biology II, 2028894 Doctoral Dissertation Seminar must be taken every semester until graduation without taking credit and with the S/U grading system except when doing research abroad, the student may not register for seminar.
2. For types 2.1 and 2.2, the following courses must be taken without taking credit and with the S/U grading system

2028601	  Seminar in Computational Biology I 			S/U
2028602	  Seminar in Computational Biology II 			S/U
2028603	  Special Project in Computational Biology 		S/U

Coursework

2028604	  Statistics Methods for Computational Biology 		3(3-0-9)
2028605	  Algorithmic Aspects in Computational Biology 		3(2-3-7)
2310506	  Bioinformatics I 	 	 	 		3(2-2-7)

2) Required Elective Courses

2028600	  Bioinformatics Computer Skills for Biologists		3(2-3-7)
2312686	  Biological Aspects in Computational Biology 		3(2-3-7)

Students are required to choose from both groups

Group 1

2028600	  Bioinformatics Computer Skills for Biologists		3(2-3-7)
2312686	  Biological Aspects in Computational Biology 		3(2-3-7)

Group 2

2301689	  Artificial Neural Networks		  	        3(3-0-9)
2302636	  Biomolecular Modeling 				3(2-2-7)
2303604   Molecular Evolution		  	        	3(3-0-9)
2305564	  Bioinformatics for Medical Research 			3(2-3-7)
2310640	  Genomics and Systems Biology		  	        3(3-0-9)

Students can choose the following courses and those from the required electives that are not already counted as required electives.

2028606   Individual Study   					3(0-0-12)
2301561   Applied Bayesian Inference   				3(3-0-9)
2301562   Statistics and Information Theory  			3(3-0-9)
2301662   Decision Support Analysis  				3(3-0-9)
2301656   Data Mining and Applications   			3(3-0-9)
2301710   Database Systems  					3(3-0-9)
2303561   Population Ecology  					3(2-3-7)
2303562   Molecular Biology  					3(3-0-9)
2303563   Molecular Ecology  					3(2-3-7)
2303572   Molecular Biology Laboratory				1(0-3-1)
2305505   Plant Molecular Biology  				3(3-0-9)
2305507   Computerized Techniques in Plant Molecular Analysis   2(1-2-5)
2305562   Biochemical Genetics   				2(2-0-6)
2305571   Methodology in Plant Molecular Biology  		2(2-0-6)
2305572   Methodology in Plant Molecular Biology Laboratory  	2(0-6-2)
2305662   Mutation  						3(3-0-9)
2305666   Advanced Molecular Genetics  				3(2-3-7)
2310507   Molecular Biology of Gene 				3(3-0-9)
2310554   Genetic Engineering  					2(2-0-6)
2310555   Genetic Engineering Laboratory  			2(0-6-2)
2312546   Biology of Intracellular Microbes   			2(2-0-6)
2312565   Molecular Genetics and Biotechnology of Yeast   	3(3-0-9)
2312661   Advanced Microbial Genetics  				2(2-0-6)
3005718   Fundamental Bioinformatics in Medical Sciences   	2(1-2-5)
3000719   Cell and Molecular Biology				3(3-0-9)
3001734   Human and Molecular Genetics   			2(2-0-6)

Students can choose other courses at the graduate levels in Chulalongkorn University with the approval of their advisor and the program committee.

4) Dissertation

2028826   Dissertation (Type 2.1)  				36 credits
2028828   Dissertation (Types 1.1 and 2.2)  			48 credits
2028813   Dissertation (Type 1.2)  				72 credits

5) Qualifying  Examination

2028897   Qualifying  Examination				S/U