Master of Science Program

Bioinformatics and Computational Biology · Chulalongkorn University

36 Credits 1–2 Years 2 Program Tracks

Program Tracks

Plan A1 Code 4505

Non-Coursework Track

Thesis-focused, for students with strong research background

Duration
1 year
Coursework
0 credits
Thesis
36 credits
Total
36 credits
Plan A2 Code 4506

Coursework Track

Hybrid coursework + thesis, systematic skill development

Duration
2 years
Required Courses
9 credits
Prescribed Electives
6 credits
Free Electives
6 credits
Thesis
15 credits
Total
36 credits

Non-Unit Requirements — Both Plans

Required for all students, graded S/U, do not count toward the credit total:

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

Plan A2 Course Structure

21 coursework credits

Credit Distribution (36 total)

Required Courses
9 credits
Prescribed Electives
6 credits
Free Electives
6 credits
Thesis
15 credits

Required Courses— 9 credits, all 3 must be taken

2028604

Statistical Methods for Computational Biology

Format: 3-0-9 · Fall (Semester 1)

3 credits
2028605

Algorithmic Aspects in Computational Biology

Format: 2-3-7 · Spring (Semester 2)

3 credits
2310506

Bioinformatics I

Format: 2-2-8 · Fall (Semester 1)

3 credits

Prescribed Elective Courses— 6 credits, pick 1 from each group

Group 1

Pick 1 · Fall
2028600

Bioinformatics Computer Skills for Biologists

For biology background
3 credits
2312686

Biological Aspects in Computational Biology

For non-biology background
3 credits

Group 2

Pick 1 · Spring
2301689

Artificial Neural Networks

3 credits
2302636

Biomolecular Modeling

3 credits
2303604

Molecular Evolution

3 credits
2305564

Bioinformatics for Medical Research

3 credits
2310640

Genomics and Systems Biology

3 credits
3316707

Biomolecules and Bioinformatics and Drug Development

2 credits
3316738

Medical Genomics and Bioinformatics

2 credits

Free Elective Courses— choose any 6 credits

2028606 Individual Study 3 credits
2028607 Machine Learning Foundation 3 credits
2301561 Applied Bayesian Inference 3 credits
2301562 Statistics and Information Theory 3 credits
2301662 Decision Support Analysis 3 credits
2301656 Data Mining and Applications 3 credits
2301710 Database Systems 3 credits
2303561 Population Ecology 3 credits
2303562 Molecular Biology 3 credits
2303563 Molecular Ecology 3 credits
2303572 Molecular Biology Laboratory 1 credits
2305505 Plant Molecular Biology 3 credits
2305507 Computerized Techniques in Plant Molecular Analysis 2 credits
2305562 Biochemical Genetics 2 credits
2305571 Methodology in Plant Molecular Biology 2 credits
2305572 Methodology in Plant Molecular Biology Laboratory 2 credits
2305573 Data Visualization for Biologists 3 credits
2305662 Mutation 3 credits
2305666 Advanced Molecular Genetics 3 credits
2310507 Molecular Biology of Gene 3 credits
2310554 Genetic Engineering 2 credits
2310555 Genetic Engineering Laboratory 2 credits
2312546 Biology of Intracellular Microbes 2 credits
2312563 Yeast Genetics 2 credits
2312661 Advanced Microbial Genetics 2 credits
3005718 Fundamental Bioinformatics in Medical Sciences 2 credits
3000719 Cell and Molecular Biology 3 credits
3001734 Human and Molecular Genetics 2 credits

Study Plan — Plan A2

Required Prescribed Elective Thesis S/U

Year 1

18 credits
Semester 1 9 credits
2028604 Statistical Methods for Computational Biology 3 credits
2310506 Bioinformatics I 3 credits
Prescribed Elective — Group 1 3 credits
Semester 2 9 credits
2028601 Seminar in Computational Biology I S/U
2028605 Algorithmic Aspects in Computational Biology 3 credits
Prescribed Elective — Group 2 3 credits
Free Elective 3 credits

Year 2

18 credits
Semester 1 9 credits
2028602 Seminar in Computational Biology II S/U
2028603 Special Project in Computational Biology S/U
2028812 Thesis 6 credits
Free Elective 3 credits
Semester 2 9 credits
2028812 Thesis 9 credits

Credit Summary

9
Required
6
Prescribed
6
Elective
15
Thesis
Total: 36 credits

English Proficiency Requirement

Students are placed into tiers based on their English test scores. Must be satisfied before the thesis defense (students enrolled from AY 2018 onward):

Below Minimum
CU-TEP: < 30 TOEFL: < 400 IELTS: < 3.0
Not admitted to the program
Tier 1
CU-TEP: 30–37 TOEFL: 400–424 IELTS: 3.0
Must take 2 courses: 5500 503 + 1 elective
Tier 2
CU-TEP: 38–44 TOEFL: 425–449 IELTS: 3.5
Must take 1 elective English course
Tier 3
CU-TEP: ≥ 45 TOEFL: ≥ 450 IELTS: ≥ 4.0
No extra English courses required

Quick Facts

Program Codes
4505 (Plan A1) · 4506 (Plan A2)
Duration
A1: 1 year · A2: 2 years
Total Credits
36 credits (both plans)
Language
English
Max Duration
A1: 3 years · A2: 5 years

Color Legend

Required courses
Prescribed electives
Free electives
Thesis
Non-unit (S/U)

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