B.Sc Bioinformatics is a three-year-long undergraduate course. The B.Sc in Bioinformatics subjects are related to the study of collecting and analysing complex biological data. The course syllabus contains the core and elective subjects as part of the curriculum.
The B.Sc Bioinformatics syllabus gives a thorough overview of genetics, cell biology, applied mathematics, biostatistics, and computer science fundamentals.
The B.Sc Bioinformatics course has subjects that are vital for an in-depth study of human diseases and the identification of new molecular targets and pharmaceutical compounds for drug discovery. Semester-wise B.Sc Bioinformatics subjects list is given in the table below:
The table below shows the semesters of the B.Sc Bioinformatics first-year syllabus:
Semester I | Semester II |
Introduction to Bioinformatics | Biochemistry I |
Computer Fundamentals | Genetics |
Statistical Methods I | Operating System & Programming in C |
Introduction to Databases | Statistical Method II |
Cell Biology | Introduction to Genome Projects |
Biochemistry I | Information Networks |
The table below shows the semesters of the B.Sc Bioinformatics second-year syllabus:
Semester III | Semester IV |
Hindi/Sanskrit (common with B.Sc. General Part II compulsory) | Object-Oriented Programming in C++ |
Object-oriented analysis & design models | Sampling Distribution |
Probability | Molecular Biology |
Techniques in Biochemistry | Immunology |
Nucleotide Metabolism & Bioenergetics | Sequence Comparison |
Working with a single DNA Sequence | Sequence Analysis |
Working with a single protein Sequence | Software Lab II |
The table below shows the semesters of the B.Sc Bioinformatics third-year syllabus:
Semester V | Semester VI |
Building and Interpreting Multiple Sequence Alignment | Database Management Systems |
Editing and publishing Alignments | Programming in JAVA |
Applied Statistics | Phylogenetics |
Sampling Techniques | Structural Analysis: Working with RNA and Protein 3-D Structures |
Recombinant DNA Technology | Clinical Biochemistry |
Plant Biochemistry | Nutritional Biochemistry |
- | Software Lab III |
The subjects in B.Sc Bioinformatics are designed to ensure that the students have scope to learn about topics in great detail and depth. There are both core and elective subjects in the curriculum. Students can choose the elective for six semesters to make the syllabus more flexible.
Here is the list of courses:
Bioinformatics syllabus for B.Sc includes both theory and practical papers and is curated for 3 years, divided into six semesters. The course structure is made so that both classroom training and practicals are included in the course curriculum. The course structure is given below:
The curriculum takes into consideration different teaching techniques. Classroom learning includes practical sessions for students who are passionate about the subject. B.Sc bioinformatics syllabus PDF is available on the official website. Here are the teaching methodology and strategies:
Part of the B.Sc Bioinformatics course is a research project. Projects are given to students to help students understand the concepts and get hands-on. These projects are to be completed by the end of the sixth semester. Some popular B.Sc Bioinformatics projects topics are:
B.Sc Bioinformatics books are available online and offline by many authors and publications. These books are made for students to gain an in-depth understanding of agriculture concepts. Books on this course differ according to specializations. Some of the reference books for B.Sc Bioinformatics subjects are:
Name | Name of the Author |
Statistical Methods in Bioinformatics: An Introduction | Gregory R. Grant and Warren Ewens (2001) |
Practical Bioinformatics | Michael Agostino (2012) |
Systems Bioinformatics: An Engineering Case-based Approach | Gil Alterovitz and Marco F. Ramoni (2007) |
Bioinformatics Computing | Bryan Bergeron (2002) |
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications | K. G. Srinivasa, G. M. Siddesh, S. R. Manisekar (2020) |
Biological Database Modelling | Jake Chen, Amandeep S. Sidhu (2008) |
Essential Bioinformatics | Jin Xiong (2006) |
Introduction to Computational Molecular Biology | Joao Carlos Setubal and Joao Meidanis (1997) |
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