B.Tech. in Bioinformatics (4 Years)
Program Overview
Bio-Informatics is about creating biological information and knowledge by the acquisition, archiving, integration, analysis and interpretation biological data. Centre for Bio-Informatics is to train experts who are capable of developing and managing informatics systems for agricultural and bioscience areas in our knowledge-based information society. Our graduates are able to understand the real production, operation and business models, and they are able to make information models and run them. They will solve problems related to informatics and information systems using rapidly-developing computing and telecommunication tools.
The ability to model, create or find suitable solution algorithms is also necessary. An important objective is to understand the agricultural, economic and administrative flows supported by informatics systems and to corporate with experts from other areas.
Eligibility Criteria
- Admission to B.Tech. Programs is open to a student who passed / appeared Intermediate / Higher Secondary (10+2) from any approved Board with minimum 50% marks in PCM/ PCB.
Admission Procedure
- The admission shall be granted on the basis of valid score on CUET (UG)2022 / JEE / UPSEE /SUNET-2022.
ADMISSION (Second Year- Lateral Entry )
Candidates who have a 3 years Diploma in Engineering granted by the Board of Technical Examination of a State Government, or passed B.Sc. Degree from a recognized University with atleast 60% marks and passed Xll standard with Mathematics as a subject may be admitted directly to 2nd year of B.Tech. Program.
Fee Structure
Course Syllabus
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Physics |
BSC 101 |
2. |
Mathematics-I |
BSC 103 |
3. |
Basic Electrical Engineering |
ESC 101 |
4. |
Engineering Graphics & Design |
ESC 102 |
5. |
MOOCs (For B.Tech. Hons. Degree)* |
- |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Chemistry |
BSC 102 |
2. |
Mathematics-II |
BSC 104 |
3. |
Programming for Problem Solving |
ESC 103 |
4. |
Workshop Practice |
ESC 104 |
5. |
English |
HSMC101 |
6. |
MOOCs (For B.Tech. Hons. Degree)* |
HSMC101 |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Physics Ii (Oscillations, Waves & Optics) |
BSC 201 |
2. |
Mathematics III (PDE, Probability & Statistics) |
BSC 202 |
3. |
Biology |
BSC 203 |
4. |
Introduction to Bio-Engineering |
ESC 207 |
5. |
Computer fundamentals and programming using ‘c’ |
ESC 204 |
6. |
Basic Biotechnology Laboratory |
CBI 351 |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Bioinformatics Algorithms |
CBI 401 |
2. |
Computational Biology |
CBI 402 |
3. |
Molecular Biology & Genetics |
CBI 403 |
4. |
Biophysics |
CBI 404 |
5. |
Molecular Phylogeny and Evolution |
CBI 405 |
6. |
Microbiology |
DBI 401 |
7. |
Computational Biology Lab |
CBI 451 |
8. |
Molecular Biology & Genetics Lab |
CBI 452 |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Recombinant DNA Technology |
CCS 501 |
2. |
Genomics And Transcriptomics |
CBI 502 |
3. |
Molecular Phylogeny And Evolutio |
CBI 503 |
4. |
Perl Programming & Bioperl |
CBI 504 |
5. |
Genetic Algorithms |
DBI 501 |
6. |
Database Management Systems |
- |
7. |
Project Work-I |
CBI 571 |
8. |
Recombinant DNA Technology Lab |
CBI 551 |
8. |
Perl Lab |
CBI 552 |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Immunoinformatics |
CB 601 |
2. |
Proteomics |
CBI 602 |
3. |
Pharmacogenomics and Pharmacogenetics |
DBI 601 |
4. |
Neural Networks |
DBI 602 |
5. |
Human Computer Interface |
- |
6. |
Artificial Intelligence |
- |
7. |
Project Work - II |
CCS 653 |
8. |
Proteomics Lab |
CBI 652 |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Chemoinformatics & Drug Designing |
CBI 701 |
2. |
Python |
DBI 701 |
3. |
Molecular Dynamics |
DBI 702 |
4. |
Cancer Biology |
OBT 701 |
5. |
Biospectroscopy |
OBT 702 |
6. |
Chemoinformatics & Drug Designing Lab |
CBI 751 |
7. |
Project Work-Iii |
CBI 771 |
S.No. |
Course Title |
Course Code |
---|---|---|
1. |
Internship |
CBI 881 |
Career Opportunitie you can choose after the course
The Bio-Informatics department at Shobhit University is not just the best one in Uttar Pradesh but is also among the leading ones in the country. The curriculum is designed in such a way that it enhances technical know-how, ability to think on your feet, and people skills. As a result, the who’s who of the hi-tech industry offer excellent paying jobs to students graduating from Shobhit.
- Bio-Informatics Software Developer
- Research Scientist/Associate
- Computational Biologist
- Data Base Programmer
- Content Editor/Writer