New! ODL -DEB Proposal 2023-2024 New! Admission 2024-2025 Admissions - AHS Chat with a Student


  • PO-1: Life Sciences knowledge: Successful candidates will acquire current/recent specific knowledge in the respective discipline with proficiency in practical skills and leadership skills for a successful career.
  • PO-2: Problem analysis: Successful candidates will be able to analyse, design standards, resolve and troubleshoot problems in implementation or standardization of Life sciences protocols.
  • PO-3: Design/development of solutions: Successful candidates will develop creative and cognitive thinking and cooperate with each other to solve problems in the field of Life sciences.
  • PO-4: Conduct investigations of Practical problems: Successful candidates will acquire capabilities to plan and design protocols and utilize practical skills.
  • PO-5: Conduct investigations of experimental problems: To validate hypothesis by executing experimental techniques independently coupled with the ability to assimilate, analyse, interpret and accurately evaluate subsequent data.
  • PO-6: Modern tool usage: Successful candidates will effectively be able to manage resources and time using ICT and other computer enabled devices.
  • PO-7: Ethics: Successful candidates will be aware of their role and responsibility in handling and use of microbes including genetically modified microorganisms.
  • PO-8: Communication: Successful candidates will have the ability to understand and communicate all ideas and concepts effectively.
  • PO-9: Environment sustainability: Successful candidates will get adequate knowledge to use information and implement solutions for environmental protection, safeguards and remediation.


The M.Sc. programme Bioinformatics at VISTAS has documented measurable outcomes that are based on the needs of the programme’s stakeholders. The programme specific outcomes that the department presently adapts to are as follows:

PSO-1: The syllabus addresses the need to introduce students to new tools and application in bioinformatics.

PSO-2: The PG course helps every candidate to analysis the software for data studies and comparisons and provides tools for modelling, visualizing, exploring and interpreting data.

PSO-3: To access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

PSO-4: The main goal of the Bioinformatics to convert multitude of complex data into useful information and knowledge.

PSO-5: The course is intended to describe not only with the programming languages but it covers the proteomics, genomics, cell and molecular biology, genetic engineering, biochemical pathways etc., relevant to the improvement and development of mankind and industrial application purposes.