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B.Sc. in Bioinformatics, Statistics, Computer Science (BStCs)(B.Sc. Bioinformatics)

Course Duration

6 Semesters
(3 Years)

Eligibility Criteria

Passing in PUC /10+2 with Biology as a mandatory subject. Scoring at least 45% marks (40% in case of candidates belonging to SC/ST category) from any recognized Board /Council or any other qualification recognised as equivalent thereto.

Overview

Bioinformatics is a multidisciplinary science with the combination of Biology, Computer Science and Statistics. In the proposed graduate-level curriculum in bioinformatics, integrative and adaptive bioinformatics courses are included to address the fast-evolving nature of the field. The curriculum is industry oriented and equip students to implement a full-fledged bioinformatics program as per the requirement of biopharmaceutical, and software industries/Universities.

The curriculum is outcome based and it comprises required theoretical concepts and practical skills in the domain. By undergoing this programme, students develop critical, analytical thinking and problem-solving abilities for a smooth transition from academic to real-life work environment. In addition, students are trained in communication skills and interdisciplinary topics to enhance their scope. The above-mentioned features of the programme, advanced teaching and learning resources, faculty expertise, collaborations with industry and research organizations makes this a unique programme.

Program Highlights

  • Bioinformatics & Computational Biology is an emerging field where biological and computational disciplines converge.
  • The field encompasses the development and application of computational tools and techniques for the collection, analysis, management, and visualization of biological data.
  • Essential to the 21st century life sciences research and key to our understanding of complex biological systems, Bioinformatics & Computational Biology is making an impact on the science and technology of fields ranging from healthcare, agricultural, energy and environmental sciences to pharmaceutical and medical sciences.
  • The program provides the strong skill sets on computer programming which support to develop tools, algorithms, softwares, and databases.
  • Special focus on artificial intelligence, big data analytics, data mining techniques in the current trends on healthcare and agriculture industries.

Course Curriculum

01Language-I:

  • Kannada-I
  • Hindi-I
  • Additional English-I

02Communication English –I

03Biochemistry & Microbiology

04Fundamental Mathematics-I (Skill Development)

05Programming in C

06Discrete Mathematics & Algebra (Skill Development)

07Logic and Graph Theory (Skill Development)

8Constitution of India and Professional Ethics

9Lab- Biochemistry & Microbiology (Skill Development)

10Lab- Fundamental Mathematics-I (Skill Development)

11C Programming Lab (Skill Development)

01Language-II:

  • Kannada-II
  • Hindi-II
  • Additional English-II

02Communicative English-II

03Cell & Molecular Biology(Innovation)

04Fundamental Mathematics-II (Skill Development)

05Programming in Python (Innovation & Skill Development)

06Data communication and Networks (Skill Development)

07Multimedia computing (Skill Development)

08Environmental Science

09Lab- Cell & Molecular Biology (Skill Development)

10Lab- Fundamental Mathematics-II (Skill Development)

11Programming in Python Lab-II (Skill Development)

12Tree plantation in tropical Region: Benefits and Strategic planning

01Language-III:

  • Kannada-III
  • Hindi-III
  • Additional English-III

02Applied Bioinformatics(Entrepreneurship)

03Basic Biostatistics

04Relational Database Management Systems (Entrepreneurship)

05Bioinformatics Algorithm (Skill Development)

06Systems Biology (Skill Development)

07Open Elective-Health & Hygiene

08Skill Enhancement Course

09Lab- Applied Bioinformatics (Skill Development)

10Lab- Biostatistics (Skill Development)

11RDBMS Lab-III (Skill Development)

01Language-IV:

  • Kannada- IV
  • Hindi- IV
  • Additional English- IV

02Bioperl & Biopython (Innovation)

03Statistical Inference

04Unix and Shell Programming (Innovation)

05Industrial Statistics(Entrepreneurship)

06Sampling methods & official statistics

07Soft skill training (Mandatory)

08Skill development program

09Lab- Bioperl & Biopython (Skill Development)

10Lab- Biostatistics inference (Skill Development)

11Unix & shell programming Lab (Skill Development)

01Computational drug discovery (Entrepreneurship & IPR)

02Linear models (Innovation)

03Basics of Web programming (Entrepreneurship)

04Software engineering (Entrepreneurship)

05Cryptography & Network security (Innovation)

06MOOC/ SWAYAM

07Skill Enhancement program

08Lab- Computational drug discovery (Skill Development)

09Lab- Sapling methods & official statistics (Skill Development)

10Basics of Web Programming Lab (Skill Development)

01Genomics & Proteomics (Innovation & Entrepreneurship)

02Operation Research (Innovation)

03Data Mining & Data warehousing (Innovation)

04Medical informatics (Innovation)

05AI techniques in Biology (Innovation)

06Bioinformatics Project (Entrepreneurship)

07Lab- Genomics & Proteomics (Skill Development)

08Machine learning Lab (Entrepreneurship)

Programme Educational Objectives (PEOs)

After 3 years of graduation, the graduate will:

PEO-1

Adopt conceptual as well as applied knowledge and skills in the field of bioinformatics and data science for sustainable approach to solve scientific problems.

PEO-2

Express oral and Written skills to understand, learn and advance their careers through entrepreneurial orientation, research, and higher education.

PEO-3

Understand the professional, ethical, and social responsibilities through lifelong learning skills with continuous improvement.

Programme Outcomes (POs)

After successful completion of the program, the graduate will be able to:

PO 1. Science knowledge:

Apply the knowledge of bioinformatics for the solution of complex biological problems in various domains including healthcare considering public health & safety and the cultural societal & environmental concerns.

PO 2. Problem analysis:

Identify, formulate & analyze biological problems related to life sciences, mathematical and computer science to produce some solutions based on statistical interpretations.

PO 3. Conduct investigations of relevant problems:

Use research-based skills and knowledge including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions and to carry out the research procedures..

PO 4. Modern tool usage:

Bioinformatics always uses to create, select and apply tools, softwares, or algorithms and apply advanced algorithms for product/process development which in turn benefit the society.

PO 5. Environment and sustainability:

Understand and implement environmentally friendly approaches in life science industries to support sustainable development.

PO 6. Ethics:

Apply ethical principles and commit to professional ethics, responsibilities, and norms in Life Sciences.

PO 7. Individual and teamwork:

Function effectively as an individual or team work to demonstrate and understand biological problems and manage projects in multidisciplinary and interdisciplinary settings.

PO 8. Communication

Communicate effectively with the scientific community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations and deduce clear instructions.

PO 9. Project management and finance:

Demonstrate knowledge and understanding of life sciences and management principles and apply these to one’s own work, as a member and leader in a team.

PO 10. Life-long learning

Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Specific Outcomes

After successful completion of the programme, the graduates shall be able to

  • PSO-1: Develop a strong conceptual foundation in bioinformatics, computer science and mathematics using latest tools and software’s, algorithms, and programming languages along with analytical and managerial skills to arrive at cost effective and optimum solutions.
  • PSO-2: Explain, design, and analyze domain specific fields for the use of databases and software packages for analysis and interpretation of biological data as required by researchers in Biotechnology and Life Science.
  • PSO-3: Facilitate interdisciplinary collaboration to provide innovative solutions to problems in the healthcare and life science related industry challenges, equipping graduates for significant roles in research and development.

Career Opportunities

The students can work in the field of bioinformatics have increased since the merging of information technology has taken place with molecular biology. Job prospects are everywhere ranging from biotechnology, hospitals, pharmaceutical, and biomedical sciences, research institutions till industry. A few specific career areas that fall within the scope of bioinformatics include:

  • Bioinformatician
  • Genomic Scientist
  • Genomic data analyst
  • Systems biology executive
  • Drug discovery specialist
  • Computational chemist
  • Database developer
  • Software Engineer
  • Data Scientist etc.…
Fee
  • Indian / SAARC Nationals₹ 500
  • NRI Fee₹ 2000
  • Foreign NationalsUS$ 50
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Feb
2025

Intelligent Data Communication Technologies & Internet of Things (IDCIoT 2025)

13 /

Dec
2024

National Conference on “Cold War 2.0 and India”

11 /

Dec
2024

National Conference on Current Trends in Biological and Health Sciences

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2024

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REVA Startup Summit 2024

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2024

Global Perspectives on Gender Based Violence-Intersectionality and Interdisciplinary Space on 5th &6th Dec 2024

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2024

REVA University Inter School Throwball Men/Women Tournament 2024

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2024

REVA University Inter School Badminton Men/Women Tournament 2024

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2024

12th Annual Athletic Meet 2024

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