Over the past few decades, environmental and life-style associated diseases have been on the rise deeply impacting human health. The genetic impacts of many diseases remain largely unexplored. Due to expensive clinical trials and challenges that we face due to the rapid growth of antimicrobial resistance, alternative therapies and strategies to combat antimicrobial resistance are the need of the hour. DNA sequencing has emerged as an indispensable tool to enhance our understanding of the genetic basis of human disease and effective use of that knowledge to improve human health. Furthermore, Genome-wide association studies have provided substantial knowledge in understanding common variants associated with diseases. However, there is more to learn about the disease heritability and mechanisms for many of such findings.
Given the large amount of data generated from these experiments, substantial expertise is required to handle and analyze them in order to establish and elucidate the genetic basis of diseases through Bioinformatics. This can be made possible by integrating good knowledge of Big Data processing platforms along with programming skills, bringing in huge demand for trained personnel as Data Scientists. The mLAC in collaboration with Molsys Scientific seeks to provide a platform to Life Science graduates to transform/initiate their careers as potential Genome data Scientists, through this unique Post Graduate Diploma program in Genomics and Cloud Computing.
Nomenclature of the course
Advanced PG Diploma Program Genomics and Cloud Computing
Bangalore Central University.
Candidate must have secured 40% in aggregate and completed a four-year bachelor degree in any of the science stream or post-graduation in any of the science stream. B.Tech/M.Tech (Biotechnology/Bioinformatics/CS/IT), MBBS, MCA, BSc/MSc. ( Any Life Sciences discipline or Computer Science ), PhD (Life Sciences/ Machine Learning/Statistics/Computer Science).
NGS data career paths encompass both data management and data analysis roles.
Database developers and administrators develop and maintain the IT infrastructure that supports big data. Other roles focus on using big data to generate actionable insights organizations can use in decision making, strategic planning and business development.
The course is designed to equip B.Sc./M.Sc. students with knowledge on certain key aspects of Biotechnology: Genomics and high-throughput platforms such as Next Generation Sequencing (NGS), Microarray and their applications, bioinformatics, programming, statistics and data analytics.
This course imparts a combination of basic and advanced knowledge on genomics, genome organization across life, next-generation methods to study genome, transcriptome and epigenome of eukaryotic or prokaryotic organisms and in different applications of genomics science. It also focuses on the interdependence and multidisciplinary aspects of all these technologies. Towards the completion of this course, the candidate would have a strong understanding of sequencing data from high-throughput platforms and strong programming knowledge with an emphasis on the researchers’ ability to handle, analyse and store data efficiently. This course would focus on the practical applications of such techniques and thus facilitate better interpretation of genome sequencing results. Candidates gain work experience simultaneously engaging with Industrial projects alongside their training which enhances their placement opportunities with attractive salary packages. The course would aim at enabling a student with essential skills in data analytics and thereby transforming the candidate into a potential Genomics Data Scientist.