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Post Graduate Diploma in Genomics and Cloud Computing

1 Year
2 Semesters
Science
GCC

Overview

Over the past few decades, environmental and life-style associated diseases have been on the rise deeply impacting human health. 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.

Given the large amount of data generated from these experiments, substantial expertise is required to handle and analyze them. 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.

Objectives

  • To enhance the employability of the candidate by equipping them with essential skills in both Genome Informatics and Data sciences (particularly data from sequencing platforms).
  • Enhance understanding of basics of molecular biology, genome organization, and differences across species.
  • Explore practical applications of major analytical techniques.
  • Develop a strong foundation working on Linux platforms and enhance programming skills using Scala, Biopython, Tableau, R, MS Excel.
  • Develop key skills in Data Analytics, Machine Learning, Data Mining, Hadoop, and Spark for handling Big Data.

Eligibility

Candidate must have secured 40% in aggregate and completed a four-year bachelor degree in any of the science streams or post-graduation in any 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).

Affiliations

Bengaluru City University

Career Prospects

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 for organizational decision making.

  • Database Administrator: Responsible for the integrity, performance, and security of a database. ($98,000 – $140,000 avg)
  • Database Developer: Modernize, upgrade, and design databases; eliminate inefficient coding. ($70,000 – $100,000 avg)
  • Data Analyst: Collect, analyze and perform statistical data analysis turning volumes into insights. ($77,000 – $118,000 avg)
  • Data Scientist: Create new algorithms to analyze/utilize data; build statistical models to identify trends. ($90,000 – $110,000 avg)
  • Big Data Engineer: Design and manage how data is housed; build scalable infrastructure. ($95,000 – $150,000 avg)
  • Data Modeler: Turn business requirements into conceptual and physical data models. ($111,000 – $160,000 avg)

Program Outcome

This course imparts a combination of basic and advanced knowledge on genomics, genome organization across life, next-generation methods to study genomes, transcriptomes, and epigenomes of organisms. Towards the completion of this course, the candidate will have a strong understanding of sequencing data from high-throughput platforms and robust programming knowledge to handle, analyse, and store data efficiently. Candidates gain work experience simultaneously engaging with Industrial projects alongside their training to enhance placement opportunities, transforming them into potential Genomics Data Scientists.