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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 there to.

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 continue to be refined to address the fast-evolving nature of the field. The curriculum is industry oriented and equip students to implement a full-fledged bioinformatics program, especially for universities or colleges, biopharmaceutical, and software industries.

The B.Sc. Bioinformatics Programme at the School of Applied Sciences has been developed by the members of the faculty based on interactions with various universities, research establishments and industries in India and abroad. 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, and experience of the faculty members with their strong connections with industry and research organizations makes this programme unique.

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, software’s, and databases.
  • Special focus on artificial intelligence, big data analytics, data mining techniques in the current trends on healthcare and agriculture industries.

Admission Requirements

  • Pass in PUC/10+2 with Biology as compulsory subject and at least 45% marks (40% in case of candidate belonging to SC/ST category) of any recognized Board/Council or any other qualification recognized as equivalent there to.

Course Curriculum

01Language-I: Kannada-I

02Language-I: Hindi-I

03Language-I: Additional English-I

04Communication English -I

05Biochemistry & Microbiology

06Fundamental Mathematics-I

07Programming in C

08Discrete Mathematics & Algebra

09Logic and Graph Theory

10Constitution of India and Professional Ethics

11Practicals

  • Lab- Biochemistry & Microbiology
  • Lab- Fundamental Mathematics-I
  • C Programming Lab

01Language-II: Kannada-II

02Language-II: Hindi-II

03Language-II: Additional English-II

04Communicative English-II

05Cell & Molecular Biology

06Fundamental Mathematics-II

07Programming in Python

08Data communication and Networks

09Multimedia computing

10Environmental Science

11Practicals

  • Cell & Molecular Biology Lab
  • Fundamental Mathematics-II Lab
  • Programming in Python Lab-II

01Language-III: Kannada-III

02Language-III: Hindi-III

03Language-III: Additional English-III

04Applied Bioinformatics

05Basic Biostatistics

06Relational Database Management Systems

07Bioinformatics Algorithms

08Systems Biology

09Open Elective-Health & Hygiene

10Skill Enhancement Course

11Practicals

  • Applied Bioinformatics Lab
  • Biostatistics Lab
  • RDBMS Lab-III

01Language-IV: Kannada-IV

02Language-IV: Hindi-IV

03Language-IV: Additional English-IV

04Bioperl & Biopython

05Statistical Inference

06Unix and Shell Programming

07Industrial Statistics

08Sampling methods & official statistics

09Soft skill training (Mandatory)

10Skill development program

11Practicals

  • Bioperl & Biopython Lab
  • Biostatistics inference Lab
  • Unix & shell programming Lab

01Computational drug discovery

03Linear models

04Basics of Web programming

05Software engineering

06Cryptography & Network security

07MOOC/ SWAYAM

08Skill Enhancement program

09Practicals

  • Computational drug discovery Lab
  • Sapling methods & official statistics Lab
  • Basics of Web programming Lab

01Genomics & Proteomics

02Operation Research

03Data Mining & Data warehousing

04Medical informatics

05AI techniques in Biology

06Bioinformatics Project

07Practicals

  • Genomics & Proteomics Lab
  • Machine learning Lab

Programme Educational Objectives (PEOs)

Graduates of B.Sc. (Bioinformatics, Computer Science, Mathematics) will be able to:

PEO-1

Develop conceptual as well as applied knowledge and skills in the field of bioinformatics and data science for sustainable approach in order 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.

Programme Outcomes (POs)

Graduates of B.Sc. (Bioinformatics, Computer Science, Mathematics) programme will be able to:

PO 1. Science knowledge:

Apply the knowledge of bioinformatics for the solution of complex biological problems to understand the molecular functions of organism.

PO 2. Problem analysis:

Bioinformatics can solve some of the biological problems based on the gene identification, protein identification and structure prediction. Drug discovery to predict the exact drug to the disease targets and also to produce some solutions on statistical interpretations.

PO 3. Conduct investigations of complex problems:

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

PO 4. Modern tool usage:

Bioinformatics always uses advanced tools, software’s or algorithms and also to create advanced algorithms for product/process development which in turn benefit the society and lifelong learning.

PO 5. Environment and sustainability:

Understand and implement environmental friendly approaches in Biopharmaceutical 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 team work:

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

PO 8. Communication

Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations, and give and receive clear instructions.

Programme Specific Outcomes

On successful completion of the programme, the graduates of B.Sc. (Bioinformatics, Computer Science, Mathematics) programme will be

  • PSO-1: Acquire a strong conceptual foundation in the area of bioinformatics, compute 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: Demonstrate domain expertise for the use of databases and software packages for analysis and interpretation of biological data as required by researchers in the area of Biotechnology and Life Science.

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.…
Application Fee
  • Indian / SAARC Nationals₹ 500
  • NRI Fee₹ 2000
  • Foreign NationalsUS$ 50
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