Collegese

Welcome to Collegese! Sign in →

Collegese
  • Colleges
  • Courses
  • Exams
  • Scholarships
  • Blog

Search colleges and courses

Search and navigate to colleges and courses

Start your journey

Ready to find your dream college?

Join thousands of students making smarter education decisions.

Watch How It WorksGet Started

Discover

Browse & filter colleges

Compare

Side-by-side analysis

Explore

Detailed course info

Collegese

India's education marketplace helping students discover the right colleges, compare courses, and build careers they deserve.

© 2026 Collegese. All rights reserved. A product of Nxthub Consulting Pvt. Ltd.

Apply

Scholarships & exams

support@collegese.com
+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Biotechnology

Sai Tirupati University Udaipur
Duration
4 Years
Biotechnology UG OFFLINE

Duration

4 Years

Biotechnology

Sai Tirupati University Udaipur
Duration
Apply

Fees

₹5,00,000

Placement

92.0%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Biotechnology
UG
OFFLINE

Fees

₹5,00,000

Placement

92.0%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

Seats

120

Students

300

ApplyCollege

Seats

120

Students

300

Curriculum

Comprehensive Course Structure for Biotechnology Program

The Biotechnology program at Sai Tirupati University Udaipur is structured to provide students with a comprehensive understanding of the field through a blend of theoretical knowledge and practical application. The curriculum is designed to be progressive, allowing students to build upon their foundational knowledge as they advance through each semester.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1BIO101Introduction to Biology3-1-0-4-
1CHE101Chemistry for Biotechnology3-1-0-4-
1MAT101Mathematics I3-1-0-4-
1PHY101Physics for Biotechnology3-1-0-4-
1BIO102Cell Biology3-1-0-4BIO101
1CHE102Organic Chemistry3-1-0-4CHE101
1MAT102Mathematics II3-1-0-4MAT101
1PHY102Electromagnetism and Optics3-1-0-4PHY101
1BIO103Molecular Biology3-1-0-4BIO102
1CHE103Physical Chemistry3-1-0-4CHE102
1MAT103Statistics and Probability3-1-0-4MAT102
1PHY103Thermodynamics and Kinetics3-1-0-4PHY102
1BIO104Genetics3-1-0-4BIO103
1CHE104Chemical Engineering Fundamentals3-1-0-4CHE103
1MAT104Linear Algebra and Calculus3-1-0-4MAT103
1PHY104Modern Physics3-1-0-4PHY103
2BIO201Biochemistry I3-1-0-4BIO104
2CHE201Instrumental Analysis3-1-0-4CHE104
2MAT201Probability and Statistics3-1-0-4MAT104
2PHY201Quantum Physics3-1-0-4PHY104
2BIO202Microbiology3-1-0-4BIO104
2CHE202Chemical Kinetics and Catalysis3-1-0-4CHE201
2MAT202Differential Equations3-1-0-4MAT201
2PHY202Nuclear Physics3-1-0-4PHY201
2BIO203Cell Culture Techniques3-1-0-4BIO201
2CHE203Chemical Process Design3-1-0-4CHE202
2MAT203Mathematical Modeling3-1-0-4MAT202
2PHY203Electronics and Instrumentation3-1-0-4PHY202
2BIO204Genetic Engineering3-1-0-4BIO202
2CHE204Pharmaceutical Chemistry3-1-0-4CHE203
2MAT204Operations Research3-1-0-4MAT203
2PHY204Optical Instruments3-1-0-4PHY203
3BIO301Molecular Biology Techniques3-1-0-4BIO204
3CHE301Bioprocess Engineering3-1-0-4CHE204
3MAT301Advanced Statistics3-1-0-4MAT204
3PHY301Biophysics3-1-0-4PHY204
3BIO302Protein Chemistry and Structure3-1-0-4BIO301
3CHE302Biochemical Engineering3-1-0-4CHE301
3MAT302Data Science and Machine Learning3-1-0-4MAT301
3PHY302Biomaterials3-1-0-4PHY301
3BIO303Immunology3-1-0-4BIO302
3CHE303Industrial Biotechnology3-1-0-4CHE302
3MAT303Computational Biology3-1-0-4MAT302
3PHY303Medical Physics3-1-0-4PHY302
3BIO304Biotechnology Applications3-1-0-4BIO303
3CHE304Pharmaceutical Biotechnology3-1-0-4CHE303
3MAT304Biostatistics3-1-0-4MAT303
3PHY304Biological Imaging3-1-0-4PHY303
4BIO401Advanced Molecular Biology3-1-0-4BIO304
4CHE401Bioprocessing Technology3-1-0-4CHE304
4MAT401Research Methodology3-1-0-4MAT304
4PHY401Bioinformatics3-1-0-4PHY304
4BIO402Genomics and Proteomics3-1-0-4BIO401
4CHE402Biochemical Process Analysis3-1-0-4CHE401
4MAT402Advanced Mathematical Modeling3-1-0-4MAT401
4PHY402Medical Instrumentation3-1-0-4PHY401
4BIO403Biotechnology Entrepreneurship3-1-0-4BIO402
4CHE403Industrial Bioprocessing3-1-0-4CHE402
4MAT403Machine Learning in Biotechnology3-1-0-4MAT402
4PHY403Biochemical Engineering3-1-0-4PHY402
4BIO404Capstone Project I3-1-0-4BIO403
4CHE404Biotechnology Innovation3-1-0-4CHE403
4MAT404Advanced Data Analysis3-1-0-4MAT403
4PHY404Research Ethics and Compliance3-1-0-4PHY403
5BIO501Advanced Biochemistry3-1-0-4BIO404
5CHE501Bioprocess Optimization3-1-0-4CHE404
5MAT501Computational Modeling3-1-0-4MAT404
5PHY501Biological Systems Engineering3-1-0-4PHY404
5BIO502Advanced Genetics3-1-0-4BIO501
5CHE502Industrial Biotechnology Applications3-1-0-4CHE501
5MAT502Data Mining and Analysis3-1-0-4MAT501
5PHY502Biomolecular Interactions3-1-0-4PHY501
5BIO503Biotechnology in Healthcare3-1-0-4BIO502
5CHE503Pharmaceutical Process Development3-1-0-4CHE502
5MAT503Biomedical Data Analysis3-1-0-4MAT502
5PHY503Biochemical Spectroscopy3-1-0-4PHY502
5BIO504Capstone Project II3-1-0-4BIO503
5CHE504Biotechnology Regulatory Affairs3-1-0-4CHE503
5MAT504Advanced Biostatistics3-1-0-4MAT503
5PHY504Biotechnology Ethics3-1-0-4PHY503
6BIO601Research and Development in Biotechnology3-1-0-4BIO504
6CHE601Advanced Process Engineering3-1-0-4CHE504
6MAT601Machine Learning in Healthcare3-1-0-4MAT504
6PHY601Bioengineering Applications3-1-0-4PHY504
6BIO602Biotechnology Innovation and Entrepreneurship3-1-0-4BIO601
6CHE602Industrial Biotechnology Management3-1-0-4CHE601
6MAT602Bioinformatics and Computational Biology3-1-0-4MAT601
6PHY602Advanced Biophysical Techniques3-1-0-4PHY601
6BIO603Capstone Project III3-1-0-4BIO602
6CHE603Biotechnology Market Analysis3-1-0-4CHE602
6MAT603Data Science for Biotechnology3-1-0-4MAT602
6PHY603Biochemical Engineering Applications3-1-0-4PHY602
6BIO604Biotechnology Project Management3-1-0-4BIO603
6CHE604Advanced Bioprocessing Techniques3-1-0-4CHE603
6MAT604Biotechnology Research Ethics3-1-0-4MAT603
6PHY604Emerging Technologies in Biotechnology3-1-0-4PHY603
7BIO701Advanced Research Techniques3-1-0-4BIO604
7CHE701Biotechnology Innovation Management3-1-0-4CHE604
7MAT701Advanced Machine Learning3-1-0-4MAT604
7PHY701Biochemical Systems Analysis3-1-0-4PHY604
7BIO702Biotechnology in Sustainable Development3-1-0-4BIO701
7CHE702Industrial Biotechnology Innovation3-1-0-4CHE701
7MAT702Biotechnology Data Science3-1-0-4MAT701
7PHY702Advanced Biophysics3-1-0-4PHY701
7BIO703Biotechnology Policy and Regulation3-1-0-4BIO702
7CHE703Biotechnology Marketing Strategy3-1-0-4CHE702
7MAT703Computational Biotechnology3-1-0-4MAT702
7PHY703Biochemical Analysis Techniques3-1-0-4PHY702
7BIO704Biotechnology Capstone Project IV3-1-0-4BIO703
7CHE704Global Biotechnology Trends3-1-0-4CHE703
7MAT704Bioinformatics and Genomics3-1-0-4MAT703
7PHY704Biotechnology Research Ethics3-1-0-4PHY703
8BIO801Biotechnology Industry Insights3-1-0-4BIO704
8CHE801Advanced Bioprocessing Technology3-1-0-4CHE704
8MAT801Biotechnology Innovation and Entrepreneurship3-1-0-4MAT704
8PHY801Biochemical Engineering Principles3-1-0-4PHY704
8BIO802Research Thesis and Publication3-1-0-4BIO801
8CHE802Biotechnology Business Strategy3-1-0-4CHE801
8MAT802Advanced Data Analysis in Biotechnology3-1-0-4MAT801
8PHY802Biotechnology Research Methodology3-1-0-4PHY801
8BIO803Capstone Project V3-1-0-4BIO802
8CHE803Biotechnology Industry Trends3-1-0-4CHE802
8MAT803Biotechnology Research Ethics and Compliance3-1-0-4MAT802
8PHY803Biochemical Systems Engineering3-1-0-4PHY802
8BIO804Biotechnology Capstone Defense3-1-0-4BIO803
8CHE804Final Industry Project3-1-0-4CHE803
8MAT804Biotechnology Career Planning3-1-0-4MAT803
8PHY804Biotechnology Research Communication3-1-0-4PHY803

Detailed Course Descriptions

The department offers a diverse range of advanced elective courses that allow students to specialize in specific areas of interest. These courses are designed to provide in-depth knowledge and practical skills relevant to current industry demands.

Bioinformatics and Computational Biology

This course provides students with the tools and techniques necessary for analyzing biological data using computational methods. Students learn about sequence alignment algorithms, database management, protein structure prediction, and genome analysis. The course emphasizes hands-on experience with bioinformatics software and programming languages such as Python and R.

Advanced Molecular Biology Techniques

This course delves into advanced techniques used in molecular biology research and applications. Students study gene expression analysis, RNA sequencing, CRISPR-Cas9 gene editing, and epigenetic modifications. The course combines theoretical knowledge with laboratory sessions to provide practical experience.

Bioprocess Engineering

This course covers the principles and practices of bioprocessing in industrial settings. Students learn about fermentation technology, bioreactor design, product recovery, and process optimization. The course emphasizes scale-up techniques and quality control measures essential for commercial applications.

Pharmaceutical Biotechnology

This course focuses on the application of biotechnology in pharmaceutical development. Students study drug discovery processes, clinical trials, regulatory compliance, and manufacturing techniques. The course provides insights into the pharmaceutical industry's current trends and challenges.

Biochemical Engineering

This course explores the engineering principles applied to biochemical processes. Students learn about enzyme kinetics, bioreactor engineering, product purification, and process design. The course emphasizes both theoretical concepts and practical applications in industrial settings.

Industrial Biotechnology Applications

This course examines how biotechnology is applied in various industrial sectors. Students study applications in food processing, pharmaceutical manufacturing, biofuel production, and environmental remediation. The course provides real-world case studies to illustrate the practical implementation of biotechnological solutions.

Biotechnology Entrepreneurship

This course prepares students for entrepreneurship in the biotechnology field. Students learn about business planning, intellectual property protection, funding strategies, and market analysis. The course includes guest lectures from successful biotech entrepreneurs and hands-on experience with business development projects.

Biochemical Spectroscopy

This course focuses on spectroscopic techniques used in biochemical research. Students study nuclear magnetic resonance (NMR), mass spectrometry, and infrared spectroscopy. The course provides practical experience with advanced instrumentation and data analysis techniques.

Biotechnology Research Ethics

This course addresses ethical considerations in biotechnology research and development. Students examine issues such as genetic modification, cloning, stem cell research, and environmental impact assessments. The course emphasizes responsible conduct in scientific research and regulatory compliance.

Advanced Data Analysis in Biotechnology

This course provides students with advanced analytical tools for processing and interpreting biological data. Students learn about statistical modeling, machine learning algorithms, and data visualization techniques. The course emphasizes practical applications using industry-standard software and databases.

Project-Based Learning Philosophy

The department's philosophy on project-based learning is centered around experiential education that bridges the gap between theoretical knowledge and practical application. This approach ensures that students develop critical thinking skills, problem-solving abilities, and hands-on experience relevant to industry needs.

Mini-Projects Structure

Students engage in a series of mini-projects throughout their academic journey, each designed to build upon previously acquired knowledge and skills. These projects typically last 6-8 weeks and involve small teams of 3-5 students working under faculty supervision. The projects are selected based on current industry trends and research opportunities.

Final-Year Capstone Project

The final-year capstone project represents the culmination of students' learning experience, requiring them to apply all their knowledge and skills to address a real-world problem or research question. Students work individually or in teams on projects that are either self-initiated or proposed by faculty members or industry partners.

Project Selection Process

The project selection process involves multiple stages including proposal submission, faculty evaluation, and student preference matching. Students can propose their own projects or choose from a list of pre-approved projects. Faculty mentors are assigned based on expertise alignment and project requirements.

Evaluation Criteria

Projects are evaluated based on several criteria including technical competency, innovation, presentation quality, documentation, and impact. Students are required to submit progress reports, final reports, and present their findings to a panel of faculty members and industry experts.