Duration: 2 years course. Affiliation: Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Eligibility: Life Science Graduate (Biotechnology/Botany/Agriculture/Agri-biotech/Genetics/Microbiology & Horticulture) with minimum 50% marks (45% for Reserved categories). Admission will be done solely on the merit basis. Bio-informatics is the field of integrating biology and computers to improve the discovery of new medical breakthrough. The aim of bioinformatics is to collect the wealth of biological information and use it to improve the living standards of human beings. Bioinformatics is applied in various fields like human health, environment, agriculture, biotechnology and energy to advance the biomedical research and development It is used in the field of molecular medicine to produce the customized medicines for the prevention or cure of the disease. Bioinformatics is today a very rapidly growing field all over the world. Therefore, one can start a career in Bioinformatics and find all over the world. Therefore, one can start a career in Bioinformatics and find employment opportunities in biotechnology, biomedical and pharmaceutical sciences, in industries, hospitals and research institutions. Bioinformatics focuses more on the development of practical tools for data management & analysis like display of genome information & sequence analysis. Bioinformatics supports a board spectrum of research that includes determining the biological significance of the data & develops practical computational tools needed to mine the data for new information. Bioinformatics assist this new information with practical application such as the identification of new targets for drug therapy. Scope: Bio-informatics as a field of study is becoming increasingly important due to the interest of pharmaceutical industry in genome projects, which compromise a key segment of the discipline. There is a vital need to harness this information for medical diagnostic and therapeutic uses, and there are opportunities for other industrial applications. This field is evolving rapidly, which makes it challenging for biotechnology professions to keep up with recent advancements. Bio-informatics specialists are involved in all aspects of collecting/assembling and analyzing the staggering quantities of information that are being generalized by the human genome project, as well as genome projects for other animals, plants and disease causing micro organism. Careers in Bioinformatics: Bio-informatics industry needs experts from various domains of expertise like Micro Biology, Molecular Biology, Bio-Physics, Bio-Statistics, Mathematics, Programming and Algorithm, Data base designing and maintenance, Graphic designing, Protein Chemistry, Genomics, Proteomics etc with multi discipline and multiple discipline exposure. Bio-informatics has a vital role in all areas of human well being such as health agriculture, veterinary sciences, fisheries, food processing and environment. Bio-informatics would ensure the journey to new discoveries being quicker and most effective. Since it is an emerging field, there are Enormous Career Opportunities in companies, Government sectors related to Drug development,Drug development,Chemical & Hybrid plants, Petroleum derivatives. Bio-informatics plays a key role in Agricultural related industries. There are Enormous prospects in R and D organizations. Software Companies and Government organizations. The Application of BIO-INFORMATICS Solution in Various Life Science has Steadily increased in the last few years. This field also has scope on database design, gene analysis, proteomics and pharmacogenomics, in various academic institutes and companies. Hence, Bio-informatics is truly the science of the coming century and therefore, dear student, this is the ideal time for you if your interests cover Biology and Computers, to take advantage of this exciting opportunity. Download Syllabus Click here.
Basic Biology & Basic Mathematics
Genetic Information flow & processing
5) Basic concept in computing
6) Introduction to database system
7) Programming in 'C'
8) Biological Database & data analysis
Cell Biology, Genetics & Immunology
Chemoinformatics & Biodiversity
Computer Graphics & Data Security
Programming in Object oriented languages
Protein Structure prediction & Molecular Modeling
Lab Techniques in Modern Biology
Advanced technology for sequence & structure analysis & data mining