Post Graduate Diploma/Executive Diploma in Bioinformatics

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. It is the is a new emerging field that helps in collecting, linking, and manipulating different types of biological information to discover new biological insight. This programme is targeted towards imparting theoretical as well as practical knowledge of bioinformatics to its participants. After completion of the programme participant is expected to have in-depth knowledge and better understanding of sequence analysis, prediction of protein structure, genome annotation, comparative genomics, health and drug discovery, microarray profiling. The modules have been compiled to introduce the attendee to various aspects of bioinformatics, its need and benefits in biological research.

Programmme Structure :

Module 1: Introduction to Bioinformatics

• Introduction to Bioinformatics
• Modern Analytical Techniques
• Sequence Analysis
• Structure Analysis

Module 2: Cell Biology

• Cell Biology: Structure and Functions of Cell, Cell Cycle and Cell Division, Cell Death

Module 3: Biomolecules

• Carbohydrates: Classification, Structure and Functions of Carbohydrates, Metabolism – Glycolysis, Krebs cycle, and Hexose Monophosphate shunt, Biological significance of Carbs.
• Lipids: Classification, Structure and Functions of Lipids, Transport of Lipids in Living System, Fatty Acid Oxidation and Ketone Bodies
• Nucleic Acids: Classification, Structure and Functions of Nucleic Acids, De Novo and Salvage Pathways of Nucleotide synthesis, Central Dogma
• Proteins: Classification, Structure and Functions of Proteins, Amino Acids, Synthesis of Polypeptide Chain, Protein Folding, Determination of Protein Structure

Module 4: Molecular Biology 

• Genome organization
• DNA Replication, Repair and Recombination
• Prokaryotic and Eukaryotic Transcription
• Translation and Transport
• Receptor Biology and Secondary Signalling 

Module 5: Genomics and Proteomics

• Introduction to Omics
• Genomics: Nucleotide Sequence Databases, its Analysis and Identification, & Recombinant DNA technology
• Gene Experience, DNA microarray and Proteomics: Protein sequence information, Physiochemical properties based on sequence, Tools for microarray analysis, Clustering gene expression profiles, Primary and Secondary Databases

Module 6: Proteome Based Technology

• Proteome and Applications of Proteomics
• Conventional Techniques: Chromatography based techniques, ELISA, Western Blotting
• Advanced Techniques: PCR, Protein Microarray, Gel based Approaches, Mass Spectrometry, Edman Sequencing
• Quantitative Techniques: ICAT, SILAC, iTRAQ
• High Throughput Techniques: X-ray crystallography, NMR- spectroscopy
• Bioinformatics Analysis

Module 7: Structural Bioinformatics

• 3-D Structure Prediction and Folding Mechanisms of Biological Macromolecules
• Interaction between Macromolecules and Ligands
• Functional Analysis of Biological Macromolecules
• Advances in Structural Bioinformatics: Structural biology and Structural Databases- Protein Data Bank, Nucleic Acid Data Bank, Molecular Modeling Data Bank.

Module 8: Cheminformatics

• Basics of Chemistry
• Basics of Cheminformatics: History and Evolution of Cheminformatics
• Chemistry and Chemical Information Sources: Combinatorial Chemistry, HTS, Combinatorial Libraries
• Cheminformatics Database Design & their Management: Chemical Database Design

Module 9: Drug Design

• Drug Design: Drug Discovery process, Target Identification and Validation, Lead Optimization and Validation, Tools in CADD, Pharmacophore, Molecular Docking, De Novo Drug Design, Virtual Screening
• Structure Activity Relationship (QSAR, QSPR, Descriptors in QSARs- Electronics, Topology, Quantum Chemical based Descriptors, Significance and Validity

Module 10: Biostatistics

• Numerical descriptive techniques
• Correlation and Regression
• Probability Theory
• Sampling Theory
• Probability Distribution 

Module 11: Bioprogramming and Bioinformatics Softwares

• Perl
• PyMOL
• EMBOSS
• RasMOL 

Module 12: Pharmaceutical and Healthcare Data Management

• Introduction to Database Management System
• Database Applications
• DBMS Languages
• DBMS Programming Languages: Python, MySQL, C# 

Eligibility

Graduates in any discipline are eligible for our Post Graduate Diploma and Professional Certificate Programmes. For Executive Diploma programmes, you need to have at least 1 year of work experience.

Programme Duration

12 months for the Post Graduate Diploma and 6 months for the Executive Diploma.

Programme Mode

Registrations are currently open for regular and online both modes.

Programme Deliverables

A comprehensive study material for all the modules in hard copies ensuring the needs of the audience. The accompanying training material is appropriately aligned with the current Industry’s expectations.

• Assignments for all the programme modules for continuous evaluation and guidance.
• Interactive or online live sessions on all key areas of the programme giving all flexibility to the participants.
• Online classes for all the modules will be conducted on the weekends. Moreover, a doubt clearing session will also be scheduled before the examination.
• All the efforts are made by IGMPI faculty members to make the entire programme modules easily understandable.
• Assessment and evaluation for all the programme modules in order to enhance the levels of competencies and skills of the participants leading towards the objective of application in the job.
• At the end of each programme modules, the trainers shall obtain feedback from the participants using specially designed questionnaires.
• All learning and training delivery initiatives shall be conducted in English.

Examination & Certification

IGMPI follows a credit system based on all all learning activities involved in studying for all PG Diploma, Executive Diploma and Certificate Programmes. Each of your modules is equal to 4 credits. To successfully complete the programme, you will have to earn all the credits assigned to your programme.

All the participants are expected to appear for an online exam and are also obliged to submit assignments after each module. After successful completion, the participants will be awarded Post Graduate Diploma/Executive Diploma in Bioinformatics by IGMPI. For all the above-mentioned modules, Online Classes (Online mode) or face-to-face classes (Regular mode), elaborate programme material, self-assessment assignments would be provided by the Institute. Details get updated on the webpage as well.

Placement Assistance & Corporate Relations

The Institute has partnered with many organizations for providing with placement assistance to its participants. Besides, it has a robust placement cell comprised of senior level Human Resources professionals and Talent Acquisition experts which maintains close links with business and industry. This cell is continuously engaged in promoting the employability of our participants and encouraging the concerned Human Resources department and Hiring Managers to recruit/hire our participants for their vacant positions. The efforts of our placement cell also include helping with professional resume writing & interview skills.

In recent months the Institute has witnessed more and more participation from professionals working with global pharmaceutical like Jubilant Biosys, GVK BioSciences Pvt. Ltd., Dr. Reddy’s Laboratories, BIOBASE, Strand Life Sciences, Biomax Informatics, Illumina, Siri Technologies, CLC Bio India, Ocimum Biosolutions, Credora Life Sciences,Biocon, Novo Informatics Pvt. Ltd., Strand Life Sciences Pvt. Ltd., Thermo Fisher Scientific etc. The IGMPI’s Corporate Resource Division actively recommends our students and training participants for various job requirements and specialized roles to Human Resource, Talent Acquisition as well as the heads of various departments in Pharmaceutical, Healthcare industries on regular basis.

Future career prospects of Bioinformatics

Current biological and medical labs use methods that produce extremely large data sets, which cannot be analyzed by hand - for instance sequencing human genomes. Thus modern biological and medical research and development cannot be done without bioinformatics.

Future applications in biology, chemistry, pharmaceuticals, medicine, and agriculture.

In addition, bioinformatics plays an important role in biomedical research. Research work in the area of genetic diseases and medical genomics is rapidly increasing and the future of personalized medicine depends on bioinformatics approaches.

View Prospectus

Apply Online

Programme Fee Details

Last date for submitting completed Application Form is 19^th Jun 2025.

For further enquiries, call or write to us on:
18001031071 (Toll Free -9:00 am to 5:30 pm IST-except on Central Government holidays)/ info@igmpi.ac.in