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Bioinformatics is an interdisciplinary field combining biology, computer science, engineering, and statistics to analyse and manage biological data. It plays a vital role in storing, processing, and interpreting complex biological information. The course equips students with the tools and skills needed for modern biological research and data-driven discoveries.
With its integration of life sciences and technology, Bioinformatics is an ideal choice for students interested in both fields. The course offers a multidisciplinary foundation, enabling graduates to explore diverse career opportunities or pursue higher studies in areas such as genomics, data analysis, biotechnology, and pharmaceutical research.
This course suits students with a strong background in biology or mathematics and a passion for research. Bioinformatics opens pathways in both academic and industrial sectors. As a hybrid of science and technology, it offers various career prospects in healthcare, agriculture, drug development, and computational biology.
Bioinformatics is an interdisciplinary field combining biology, computer science, and statistics to analyse and interpret complex biological data. The course is offered at undergraduate, postgraduate, and doctoral levels with promising career opportunities in healthcare, pharmaceuticals, and research. Below are the key highlights of the Bioinformatics course for reference.
Particulars | Values |
---|---|
Branch Name | Bioinformatics |
Degrees | |
Duration | UG: 3-4 years PG: 2 years |
Admission Process | Entrance Exam or Merit-Based |
Entrance Examination | UG: JEE Main, CUET UG, GUJCET, UPESPAT PG: GATE |
Eligibility Criteria | UG: 10+2 in Science and Entrance Exam PG: Degree in Bioinformatics or related discipline |
Course Fee | Rs. 35,000 to Rs. 17.6 lakhs |
Job Profiles | Bioinformatics Analyst, Research Associate, Biostatistician, Computational Biologist, Bioinformatics Scientist |
Top Recruiters | Bison, Ranbaxy, IBM Life Sciences, Strand Life Sciences, Torrent Pharmaceuticals, Satyam, Reliance |
Average Salary | Rs. 5.4 LPA (Bioinformatics Analysts) |
Bioinformatics offers a wide array of specialisations for students interested in computational biology, data analysis, and biomedical research. These areas allow learners to apply informatics tools to complex biological systems, supporting advancements in medicine, genetics, and biotechnology. Depending on their interests, students can pursue academic, clinical, or industrial research pathways.
Genomics and Proteomics | Structural Bioinformatics |
Systems Biology | Computational Drug Discovery |
Medical Bioinformatics | Machine Learning in Bioinformatics |
Transcriptomics and Epigenomics | Cheminformatics |
Biodata Mining and Analysis | Molecular Modelling and Simulation |
Several private universities and colleges in India offer Bioinformatics courses. Admission is granted based on previous academic performance and the results of entrance examinations. The table below provides a list of some of the best private colleges in India that offer Bioinformatics courses, along with their respective fees:
Top Colleges | Fees |
---|---|
Rs. 1 Lakh | |
Rs. 1.85 Lakhs | |
Rs. 10.80 Lakhs | |
Rs. 1.04 Lakhs | |
Rs. 1.42 Lakhs | |
Rs. 2.10 Lakhs | |
Rs. 1.86 Lakhs | |
Rs. 7.60 Lakhs | |
Rs. 69,070 | |
Rs. 1.29 Lakhs |
Note: The fee structure provided above can be for any particular Bioinformatics course (Diploma/ Degree/PGD)
Many government universities and colleges in India offer Bioinformatics courses. Admissions to these courses are determined based on previous academic achievements and entrance examination scores. The table below lists some of the best government colleges in India that offer Bioinformatics courses.
Top Colleges | Fees |
---|---|
Rs. 78,190 | |
Jacob Institute of Biotechnology and BioEngineering, Allahabad | Rs. 1.64 Lakhs |
Rs 1.10 Lakhs | |
Rs. 1.75 Lakhs | |
Rs. 75,000 | |
Dr APJ Abdul Kalam Women's Institute of Technology, Darbhanga | Rs. 3.24 Lakhs |
Rs. 1.43 Lakhs | |
Rs. 36,550 | |
Rs. 10,600 | |
Rs. 42,140 |
Before applying for admission, candidates should review the eligibility criteria set by their chosen institution. Typically, students need to have a science background for undergraduate courses and a relevant bachelor's degree for postgraduate programmes. Below is a general overview of the eligibility criteria for UG and PG courses in Bioinformatics.
The eligibility criteria for undergraduate Bioinformatics courses differ from one institution to another. Students are encouraged to visit the official website of their preferred institute to review specific requirements, including minimum marks and accepted entrance exams. Meeting the listed criteria is essential to proceed with the admission process successfully.
Several national and state-level entrance exams are conducted for admission to undergraduate Bioinformatics courses in India. These exams assess candidates' knowledge in science and analytical subjects, forming the basis for merit-based selection. Students should check eligibility and application details before applying. Below are some of the top entrance exams for UG courses.
Exam Name | Level | Conducting Body | Exam Schedule |
---|---|---|---|
National | NTA | ||
National | NTA | ||
State | GSHSEB | ||
University | UPES Dehradun | - |
The eligibility criteria for postgraduate courses in Bioinformatics may vary across institutions, but certain common requirements are generally followed. These criteria are essential for determining a candidate’s suitability for admission. Below are the key eligibility conditions typically expected for enrolling in a PG Bioinformatics programme.
Candidates aiming to pursue a postgraduate degree in Bioinformatics must qualify for specific entrance examinations accepted by universities or institutions. These exams evaluate subject knowledge and aptitude relevant to the field. It is important to check individual exam requirements. Below is a list of popular entrance exams for PG Bioinformatics courses.
Exam Name | Level | Conducting Body | Exam Schedule |
---|---|---|---|
National | IITs |
Bioinformatics has a wide scope across multiple industries, including pharmaceuticals, biotechnology, agriculture, and healthcare. Professionals skilled in data analysis and biological research are in high demand for roles in genomics, drug discovery, and personalised medicine. The integration of AI and big data is further expanding opportunities in this evolving field.
With the rise in genomic research and precision medicine, the global demand for bioinformatics experts is steadily increasing. Graduates can work in research institutions, hospitals, bio-pharma companies, or pursue higher studies. The interdisciplinary nature of this field opens diverse career paths in both academic and industry-based roles worldwide.
Minimum Fees | Maximum Fees | |||
---|---|---|---|---|
Private | Government | Private | Government | |
UG | ||||
PG | ||||
DOCTORAL | ||||
DIPLOMA |
The Bioinformatics course syllabus is designed to provide students with a comprehensive understanding of biological data analysis through a combination of computational techniques and life sciences. It combines core subjects from biology, computer programming, and statistics with practical lab sessions to build essential research and analytical skills. Below is the detailed syllabus from undergraduate and postgraduate programmes for reference.
The undergraduate syllabus provides an interdisciplinary foundation in biology, computer science, and statistics, blending theoretical concepts with hands-on laboratory training. It equips students to handle biological data, programming, and computational tools. The detailed semester-wise syllabus mentioned below is from the BSc Bioinformatics programme offered at Pondicherry University.
Semester 1 | Semester 2 |
Language – I | Language – II |
English – I | English – II |
Major I Fundamentals of Biological Systems | Biomolecules |
Major II: Introduction to Chemistry | Introduction to Mathematics |
Allied I: Introduction to Computer Science | Introduction to Physics |
Major - P1 Lab in Basic Biology and Chemistry | Lab in Biomolecules |
Allied - P1 Lab in Computer Science | Allied – P2 Lab in Physics |
Semester 3 | Semester 4 |
Language – III | Language – IV |
English – III | English – IV |
Introduction to Biological Databases | Microbiology and Immunology |
Programming in C | Bioinformatics Algorithm |
Biostatistics | Introduction to DBMS & Information Technology |
Lab in C Programming | P4 Lab in Microbiology and Immunology |
Lab in Biostatistics | P4 Lab in DBMS |
Semester 5 | Semester 6 |
Biological Sequence Analysis | Genomics & Proteomics |
Genetics and Evolution | Perl Programming |
Molecular Biology and Genetic Engineering | Molecular Modeling |
Structural Biology | Biodiversity |
Operating Systems and the Networks | Web Programming |
P5 Lab in Biological Sequence Analysis | Lab in Molecular Modelling |
Lab in Biotechniques | Lab in Web and Perl Programming |
The postgraduate syllabus in Bioinformatics offers in-depth training in core areas like biological databases, system development, and computational drug discovery. It combines theoretical understanding with intensive practical work to prepare students for research and industry roles. The semester-wise syllabus mentioned below is PGD in Bioinformatics from Gujarat University.
Semester 1 | Semester 2 |
Bioinformatics Fundamentals And Biological Databases | Genomics And Proteomics |
Linux And System Development | Computational Drug Discovery And Pharmacogenomics |
Practical | Practical |
Practical | Practical |
Bioinformatics plays a pivotal role in advancing biological research by integrating computational tools with life sciences. Professionals in this field contribute to critical areas such as genomics, drug discovery, systems biology, and personalised medicine. As the reliance on data-driven biology grows, so does the demand for skilled bioinformatics experts across academic, healthcare, and industrial sectors.
Bioinformatics graduates are equipped for diverse roles such as Bioinformatics Analysts, Computational Biologists, Biostatisticians, and Genomic Data Scientists. They find opportunities in pharmaceutical companies, research institutions, hospitals, agritech firms, and IT companies involved in biomedical research. With a strong foundation in both biology and computer science, they are well-positioned for global careers or higher academic pursuits.
Bioinformatics is evolving rapidly with the integration of cutting-edge technologies that enhance biological data interpretation and accelerate scientific discovery. Modern trends focus on improving precision, scalability, and efficiency in genomics, personalised medicine, and computational biology. Some of the latest trends shaping the future of Bioinformatics include:
Bioinformatics offers a wide range of career opportunities due to its interdisciplinary nature. Professionals skilled in both biotechnology and computer science can explore roles in research, data analysis, software development, or healthcare. The field promises strong growth and earning potential. Here are some of the job roles in Bioinformatics.
Job Roles | Description |
---|---|
Bioinformatics Analysts | Bioinformatics Analysts analyse complex biological data using computational and statistical tools. They contribute to research in genomics, drug development, and personalised medicine. |
Research Associates assist in experimental design, data analysis, and reporting in bioinformatics projects. They typically work in universities, biotech firms, or government labs. | |
Biostatisticians | Biostatisticians apply statistical models to biological, clinical, and epidemiological data. They play a vital role in interpreting results from genomics and public health studies. |
Computational Biologists | Computational Biologists create algorithms and perform simulations to study biological systems and processes. They are central to analysing genomic sequences and modelling disease mechanisms. |
Bioinformatics Scientists lead advanced research, develop software tools, and manage large-scale biological datasets. They work at the intersection of biology, computing, and data science. |
The salary in the field of Bioinformatics depends on the job role, level of expertise, and industry sector. With growing experience and technical skills, professionals can expect significant career and salary progression. Bioinformatics offers rewarding opportunities in research, healthcare, and IT. Here are the average salary figures for key roles.
Job Roles | Average Salary (LPA) |
---|---|
Bioinformatics Analysts | Rs. 5.4 LPA |
Research Associates | Rs. 4.8 LPA |
Biostatisticians | Rs. 6.6 LPA |
Computational Biologists | Rs. 5.2 LPA |
Bioinformatics Scientists | Rs. 9.7 LPA |
Source: AmbitionBox
Every career in Bioinformatics requires a blend of technical, analytical, and scientific competencies essential for managing and interpreting complex biological data. While job roles may vary, most positions demand a strong foundation in computational thinking, research methodology, and domain-specific biological knowledge. Employers typically look for the following key skills in Bioinformatics professionals:
The Bioinformatics curriculum blends theoretical instruction with practical training to equip students for roles in research, data analysis, and computational biology. Learners build a strong foundation in life sciences, programming, and data science, gaining skills to analyse complex biological data in multidisciplinary settings. The course structure also includes lab work, research projects, and elective specialisations. Core areas of study include:
Answer :
Yes, students with a background in computer science, mathematics, or statistics can pursue Bioinformatics, especially at the postgraduate level, depending on the eligibility criteria of the institute.
Answer :
The average fees of a Bioinformatics course depend on the institute and the level of education. The average course fees range from Rs. 35,000 to Rs. 17.68 lakhs.
Answer :
Industries include pharmaceuticals, biotech firms, healthcare, agritech, research institutions, and academic organisations involved in genomic and biomedical research.
Answer :
Popular entrance exams include JEE Main, CUET UG, and GUJCET for undergraduate courses, while GATE is commonly accepted for postgraduate programmes.
Answer :
The subjects taught in the field of Bioinformatics are almost the same for undergraduate and postgraduate degrees. Some of the subjects are Introduction to Bioinformatics, Molecular Biology and Genetics, Sequence Analysis and Phylogenetics, and Evolutionary Biology.
Answer :
For an undergraduate course, candidates need to complete their 10+2 in Science with a valid aggregate score of 50 per cent, or as specified by the institute. For a postgraduate degree, they need to have a Bachelor's degree in a field similar to or related to Bioinformatics.
Hello aspirant,
Here below I am providing you with the name of some of the best colleges that offer B.Sc. in Bioinformatics :
To know about more colleges, you can visit our site through following link:
https://university.careers360.com/colleges/list-of-bsc-in-bio-informatics-degree-colleges-in-india
Thank you
Hello aspirant
Yes, BSc Bioinformatics is offered by several Karnataka colleges through KCET, and admission depends on your aggregate score and KCET rank.
To be eligible, you need to have passed 10+2 with Physics, Chemistry and Biology and scored at least 50 percent marks (45 percent in case of SC/ST) in these subjects combined.
In terms of KCET rank, seats for BSc Bioinformatics usually fill up fast as it's a popular course. Based on trends, a KCET rank between 5,000 and 20,000 (overall) could help you secure admission in reputable colleges through general category quota. Reserved category quotas may allow slightly higher ranks.
If you're confident of achieving around that rank, you'll likely have a good chance. Otherwise, you can also consider colleges that admit based on merit without KCET, which usually require the same 50 percent in biology, chemistry and physics.
Hope this helps!
With a VITEEE 2025 rank of 2015 , you are in an excellent position — that's a top rank .
Yes, you will very likely get Bioinformatics under Category 1 at VIT Vellore .
Bioinformatics is a less competitive branch compared to core ones like CSE, CSE with AI/ML, or ECE .
In previous years, Category 1 cutoff ranks for Bioinformatics at Vellore were generally well beyond 10,000–15,000 .
With your 2015 rank , you’ll be eligible not just for Bioinformatics , but also for many better-ranked branches under Category 1 , depending on availability.
Biotechnology
Biomedical Engineering
Electronics and Instrumentation
Even core branches like Mechanical or EEE under Category 1 or 2.
With a VITEEE 2025 rank of 2015 , you are in an excellent position — that's a top rank .
Yes, you will very likely get Bioinformatics under Category 1 at VIT Vellore .
Bioinformatics is a less competitive branch compared to core ones like CSE, CSE with AI/ML, or ECE .
In previous years, Category 1 cutoff ranks for Bioinformatics at Vellore were generally well beyond 10,000–15,000 .
With your 2015 rank , you’ll be eligible not just for Bioinformatics , but also for many better-ranked branches under Category 1 , depending on availability.
Biotechnology
Biomedical Engineering
Electronics and Instrumentation
Even core branches like Mechanical or EEE under Category 1 or 2.
With a VITEEE 2025 rank of 2015 , you are in an excellent position — that's a top rank .
Yes, you will very likely get Bioinformatics under Category 1 at VIT Vellore .
Bioinformatics is a less competitive branch compared to core ones like CSE, CSE with AI/ML, or ECE .
In previous years, Category 1 cutoff ranks for Bioinformatics at Vellore were generally well beyond 10,000–15,000 .
With your 2015 rank , you’ll be eligible not just for Bioinformatics , but also for many better-ranked branches under Category 1 , depending on availability.
Biotechnology
Biomedical Engineering
Electronics and Instrumentation
Even core branches like Mechanical or EEE under Category 1 or 2.
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