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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 10+2 with Biology as compulsory subject. Scoring at least 45% marks(40% in case of candidates belonging to SC/ST category) and also Diploma in MLT from any recognised 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

  • Curriculum will provide the guidelines to understand the skills to analyze biological data.
  • It provides research opportunities in genomics, proteomics, and drug discovery for undergraduate students from primarily undergraduate institutions.
  • 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

  • Candidate must have passed a 10+2 examination conducted by the respective state or central government authorities, with English as one of the courses, and Physics, Chemistry, Mathematics and Biology as optional courses individually.
  • Students from outside Karnataka, Biology, Physics, Chemistry is mandatory.
  • Students must have secured at least 60% marks in Std. XII board exam.

Course Curriculum

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Functional English – I

03Molecular Biology and Genetics

04Fundamental of Mathematics - I

05Problem Solving Techniques using C

06Constitution of India and Professional Ethics

07 Practicals

  • Molecular Biology and Genetics Lab
  • Mathematics Practical-I
  • C Programmeming Lab

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Functional English – II

03Biochemistry & Microbiology

04Fundamental of Mathematics - II

05Data Structures Using C

06Environmental Science

07 Sports/Yoga/music/dance/theatre

08 Practicals

  • Biochemistry & Microbiology Lab
  • Mathematics Practical-II
  • Data Structures Lab

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Communicative English - I

03Bioinformatics & Biostatistics

04Biostatistics - I

05RDBMS

06Open Electives:

  • Physics of Clouds
  • Classical Optimization
  • Chemistry for Life

07 Practicals

  • Bioinformatics & Biostatistics Lab
  • Mathematics Practical-III
  • RDBMS Lab

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Communicative English - II

03Bioperl & Biopython

04Biostatistics - II

05Operating System & Shell Programme Using LINUX

06Soft Skill Training

07 Practicals

  • Bioperl & Biopython Lab
  • Mathematics Practical-IV
  • LINUX Lab

01Biology – V (Genomics & Proteomics)

02Discrete Mathematical Structural

03JAVA Programmeming

04Soft Core:

  • Data mining & Artificial Intelligence
  • Data mining & warehousing

05Soft Core:

  • Biostatistics - III
  • Numerical Methods - I
  • Graph Theory

06Soft Core:

  • Web Programmeming
  • Visual Programmeming
  • Computer Graphics

07 Soft Skill Training

08 Practicals

  • Genomics and Proteomics Lab
  • Programmeming using R
  • Mathematics Practical– V
  • JAVA Programmeming Lab
  • Web Programmeming Lab / Visual

01Chemo informatics & Drug designing

02Operations Research - I

03Software Engineering

04Soft Core:

  • Medical Informatics
  • Structural Chemistry

05Soft Core:

  • Biostatistics - IV
  • Numerical Methods - II
  • Operations Research - II

06Soft Core:

  • Computer Networks
  • Design and Analysis of Algorithms
  • Computer Architecture

07 MOOC/SWAYAM/Internship

08 Skill Development Courses

09Practicals

  • Chemo informatics & Drug designing Lab
  • Project Work
  • Computer Science Project

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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