The Department of Genomics and Bioinformatics is an integral part of the Faculty of Biotechnology and Genetic Engineering at Chattogram Veterinary and Animal Sciences University (CVASU). The department represents the exciting intersection of biology, genomics, computer science, data science, and emerging technologies, providing students with the knowledge and skills required to explore the complexities of modern life sciences.
Genomics and Bioinformatics are closely interconnected and rapidly evolving disciplines that enable scientists to generate, collect, manage, analyze, interpret, and visualize vast amounts of biological information. From DNA and RNA sequences to proteins, genomes, molecular structures, and functional annotations, computational approaches have transformed the way biological data are studied and understood. Today, genomics and bioinformatics are among the most rapidly advancing areas of modern science. The continuous development of high-throughput sequencing, artificial intelligence (AI), machine learning, big data analytics, and computational biology is opening new possibilities for understanding the fundamental mechanisms of life. These technologies are helping researchers uncover biological mysteries that were once beyond the reach of conventional approaches.
Genomics has expanded into diverse and impactful areas, including metagenomics, comparative genomics, population genomics, functional genomics, pharmacogenomics, cancer genomics, and organelle genomics. At the same time, Bioinformatics provides powerful computational tools for understanding biological processes and translating complex biological data into meaningful knowledge. Its applications can be found in drug discovery and development, precision medicine, gene therapy, vaccine development, molecular diagnostics, evolutionary biology, agricultural biotechnology, disease surveillance, and personalized healthcare.
The department is committed to providing students with a strong combination of theoretical understanding, practical laboratory skills, computational expertise, and research experience. Our objective is not only to teach students the principles of genomics and bioinformatics but also to prepare them to apply these principles to real-world biological and biomedical challenges.
In an increasingly data-driven world, future biotechnologists must be able to understand both biology and computation. Therefore, the department encourages students to develop skills in programming, biological databases, sequence analysis, genome analysis, molecular modeling, statistics, artificial intelligence, machine learning, and biological data interpretation.
Our vision is to nurture a new generation of innovative, skilled, research-oriented, and globally competitive biotechnologists. We aim to equip our graduates with the confidence and expertise required to pursue higher education, research, entrepreneurship, and professional careers at both national and international levels.
The Department looks forward to empowering students to decode biological complexity, transform data into knowledge, and knowledge into innovation—contributing to the advancement of biotechnology, healthcare, agriculture, animal science, and life sciences in Bangladesh and beyond.
Dr. Shahneaz Ali Khan
Professor
and Head
Department of Genomics and Bioinformatics
I warmly welcome all the students of the Faculty of Biotechnology and Genetic Engineering on behalf of the Department of Genomics and Bioinformatics.
We are living in an era of rapid scientific and technological advancement, where information technology, artificial intelligence, big data, and computational science are transforming almost every field of biological science. In this modern era, Genomics and Bioinformatics can be considered the computational and information technology backbone of Biotechnology and Genetic Engineering. The integration of biology with computer science, mathematics, statistics, and data science has opened new horizons for understanding life at the molecular and genomic levels.
The Department is committed to providing students with both strong theoretical foundations and practical, hands-on experience. We believe that classroom knowledge becomes truly meaningful when students can apply it to real-world biological problems. Therefore, we encourage our students to develop practical skills in biological data analysis, programming, genomics, molecular biology, computational biology, statistics, database management, and scientific research.
As Biotechnology and Genetic Engineering is a highly multidisciplinary field, students should not limit themselves to a single area of knowledge. The ability to connect biological concepts with computer science, artificial intelligence, machine learning, data science, and computational technologies will be increasingly important for future scientists and researchers. Emerging technologies such as AI-driven drug discovery, genome analysis, precision medicine, computational diagnostics, protein structure prediction, synthetic biology, and large-scale biological data analysis are already reshaping modern life sciences.
Our goal is not simply to prepare students to earn a degree; rather, we aim to develop innovative, skilled, ethical, and independent scientists who can contribute meaningfully to society. We encourage every student to develop curiosity, critical thinking, creativity, problem-solving ability, communication skills, and a passion for lifelong learning. In a rapidly changing technological environment, the ability to learn new tools and adapt to emerging technologies will be one of the most valuable skills for a successful career.
We hope that, after completing their degree, our graduates will become competent professionals and researchers in Genomics, Bioinformatics, Biotechnology, Computational Biology, Artificial Intelligence, Data Science, Molecular Biology, and related disciplines. They should be capable of addressing the challenges of the 21st century by integrating biological knowledge with modern computational and technological approaches.
The future of biological science will increasingly depend on the collaboration between biology, technology, and intelligent computation. I therefore encourage all students to explore beyond their textbooks, develop practical skills, engage in research, learn programming and data analysis, and remain open to new ideas and technologies.
Once again, I warmly welcome all students to the Faculty of Biotechnology and Genetic Engineering. I wish you an exciting, productive, and successful academic journey. May your knowledge, creativity, and dedication enable you to become the scientists, researchers, innovators, and leaders who will shape the future of biotechnology and life sciences.
I wish every student of the Faculty of Biotechnology and Genetic Engineering a bright, successful, and fulfilling future.
Welcome to the journey of discovery, innovation, and scientific excellence.
Under the Department of Genomics and Bioinformatics
Summary | Total |
Total Subjects/Courses | 11 |
Total Credits | 29 |
Year | Semester | No. of Subjects | Total Credits |
First Year | First Semester | 1 | 2 |
First Year | Second Semester | 2 | 6 |
Second Year | First Semester | 1 | 3 |
Third Year | First Semester | 2 | 5 |
Third Year | Second Semester | 2 | 6 |
Fourth Year | First Semester | 3 | 7 |
Grand Total | 11 | 29 |
Year | Semester | Course Title | Credit (T+P) |
First Year | First Semester | Fundamental Computer and Information Technology | (1+1) |
Total Credit | 2 | ||
First Year | Second Semester | Mathematics for Biologists | (2+1) |
Fundamental of Genetics | (2+1) | ||
Total Credit | 6 | ||
Second Year | First Semester | Genes and Genomics | (2+1) |
Total Credit | 3 | ||
Third Year | First Semester | Introduction to Programming | (1+1) |
Proteomics and Protein Engineering | (2+1) | ||
Total Credit | 5 | ||
Third Year | Second Semester | Bioinformatics | (2+1) |
Biostatistics and Epidemiology | (2+1) | ||
Total Credit | 6 | ||
Fourth Year | First Semester | Advanced Bioinformatics and Programming | (2+1) |
Forensic Biotechnology | (1+1) | ||
Quantitative Genetics | (1+1) | ||
Total Credit | 7 |
Current Research Projects
01. Genome Wide Study of Probiotic Potential Lactic Acid Bacteria Isolated from Freshwater Fish Intestine
02. Characterization of native Bacillus species against mosquito larvae and phytopathogenic fungi
