BS Bioinformatics

Chairperson Message

Welcome to the “Department of Bioinformatics” at Sir Syed University of Engineering and Technology (SSUET). We are an academic department that specializes in Bioinformatics. It is the common thread connecting health data science and biomedical research. The department was established in 2014. The undergraduate program is for four years. Bioinformatics is a new fast-growing field today. It is an interdisciplinary field that develops methods and software tools for understanding biological data. Bioinformatics combines biology, computer science, information engineering, mathematics, and statistics to analyze and interpret biological data. There are several applications of bioinformatics with special reference to Computational biology, biomedical sciences, drug design, and discovery and clinical studies. Job opportunities are available in research labs, hospitals, pharmaceutical industries, the IT sector, and forensic science. The department will soon initiate MS and Ph.D. programs to conduct methodological research and the prevention and treatment of diseases. Dr. Uzma MehmoodChairperson

Program Overview

Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis “pipelines” that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences, called proteomics. Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis “pipelines” that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences, called proteomics.

Vision & Mission

Vision
Leader in bioinformatics teaching and multidisciplinary research, empowering advancements in health, agriculture, and beyond, for a better future.

Mission
Empower students with advanced computational skills and hands-on experience in bioinformatics, fostering research entrepreneurial, and leadership talents for impactful careers in emerging technologies.

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Faculty Members