Molecular & Cellular Biotechnology

The Bachelor of Science curriculum provides a comprehensive foundation in molecular biology, cell biology, biochemistry, and genetics. Core modules emphasize advanced laboratory techniques, data analysis, and experimental design within a research context.

This rigorous program prepares students for advanced studies and professional roles in biotech, focusing on applied biotechnology and genomic computation. Practical applications are integrated throughout, ensuring wet-lab validation.

Computational & Analytical Breadth

Computational Biology

Focused on algorithms for genomic data analysis, bioinformatics tools, and statistical modeling of biological systems. Coursework included advanced Python and R programming for biological applications.

Applied Data Science

Explored machine learning techniques, data visualization, and predictive analytics for complex scientific datasets. Projects involved large-scale cellular models and experimental data interpretation.

Computational Biology

Focused on algorithms for genomic data analysis, bioinformatics tools, and statistical modeling of biological systems. Coursework included advanced Python and R programming for biological applications.

Applied Data Science

Explored machine learning techniques, data visualization, and predictive analytics for complex scientific datasets. Projects involved large-scale cellular models and experimental data interpretation.