B.Tech Bioinformatics at JUIT Program description

Until the late 1970s use of computation resources to solve biological problems was a novelty. However, with the advent of computational power and a boom of data generation and availability, researchers have been able to develop tools, algorithms, and software that use experimental data to aid in answering crucial biological questions. Thus, Bioinformatics can be aptly called as an interdisciplinary or a trans-disciplinary area of science, as it is an amalgamation of Basic Sciences, Biotechnology, Physics, Chemistry, Mathematics, Information Technology, Computer Science, and Statistics.

Graduates of Bioinformatics have diverse avenues to make a career with the skills and technology-know-how. Few of the avenues are, but not limited to:

  • Industries that deal with voluminous amount of data (Big Data) as Data scientists and Data analysts
  • Software industry as Domain knowledge providers and Algorithm developers
  • Biotechnology industry as Bioinformatics Consultants
  • Pharmaceutical industry as designers of drug molecules
  • Biomedical industries dealing with clinical databases and medical informatics
  • Research and Development in Academia
Bioinformatics program at JUIT
  • The B.Tech Bioinformatics program at JUIT offers a comprehensive, all rounded program for nurturing future manpower for the field of Bioinformatics and Computational Biology.
  •  The program has been ranked 1st among private universities and institutions in India for four years.
  • The B.Tech Bioinformatics program is equipped with a diverse, strong and up-to-date course curriculum, modern laboratory facilities and infrastructure, highly qualified faculty, and most importantly, assured placements after the B.Tech program in top-ranking industries and educational institutions.
Salient features of the B.Tech Bioinformatics program
  • Coursework designed with emphasis on fundamentals in Physics, Chemistry, Maths, Biology and Computer Science for an integrative and interdisciplinary approach of education in a holistic manner.
  • Assist students in problem solving by having tutorial session in each theory subject. The teaching methodology is directed at heavy emphasis in generating curiosity among students to enable them to understand the big-picture.
  • Expanding the horizons of thinking, data analysis and communication skills of students.
  • Availability of elective modules in the final year to strengthen the student’s knowledge (theoretical and practical)
  • Summer internships with industry projects.
  • Developing business and entrepreneurial skills to cope up with the globalization of markets and trade by providing the students opportunities to develop teams, leadership qualities and problem solving skills.
Placement of B. Tech Bioinformatics students at the end of the course

The Training and Placement Cell organizes campus placement of the graduating students of all our campuses centrally, namely JIIT Noida, JUIT Solan, JUEU Guna and Jaypee Business School. The cell provides complete support to the visiting companies at every stage of placement process which includes Pre-Placement Talks, Written Tests, Interviews, Group Discussion etc. The placement of bioinformatics graduates has been more than 95% during the last four years with most of the students offered jobs in more than one industry, either MNCs or startup companies, in Bangalore, Delhi, Gurgaon, and other cities. Some of the companies are Cognizant, Infosys, Roots Analysis, and others.

Many of B.Tech. graduates are pursuing MS/Ph.D degrees in the top class Universities in the USA and Europe with scholarships.Profile of our high performance alumni can be accessed at http://www.juit.ac.in/department/bio/Distinguished_BI_Alumni.pdf

National/International collaborations and exchange programme

The department has set up collaborations with International Universities and Institutes (Lousiana Tech University, University of Nebraska-Omaha, Joint Bioenergy Institute, University of California, Berkeley, University of Florida, Emory University) and many Indian universities and institutes (AIIMS, IHBT-Palampur, Panjab University, PGIMER-Chandigarh, IARI-Delhi, HPU-Shimla).

The bioinformatics graduates can pursue joint B.Tech& Masters degree by doing 3 years course work at JUIT and 2 years at University of Nebraska at Omaha. The graduates can also pursue their final semester atUniversity of Nebraska at Omaha for completing requirements of course work and project. Both these exchange programmes provide added advantage to bioinformatics graduates in high package jobs, eitherin the USA or India.

Curriculum design and structure

The four-year B.Tech Bioinformatics curriculum has been developed and tuned to keep updated with the developments in the ever-growing field of Computational Biology and Bioinformatics.
The 4 yearB.Tech curriculum is divided into 8 semesters, each semester of 14 weeks duration. The program is well structured as it emphasizes on sound foundation of basic and applied concepts. The 1st year of each program is common among all engineering streams. The 2nd and 3rd years include core courses of biotechnology and bioinformatics as well as courses from other physical and engineering streams. The final year provides flexibility to students for choosing elective courses. Research project is an integral component of curriculum in the final year wherein each student chooses a research problem of choice and decides to work with one faculty advisor. The students are encouraged to publish their results in peer reviewed journals or attend conferences. Some students even result in filing patents out of their research outcome.

Course Curriculum

The curriculum of Bioinformatics program is distributed such that it reflects the interdisciplinary or trans-disciplinary nature (as seen in the pie chart below).Courses from various disciplinesare included in the curriculum that provide a strong foundation for future bioinformaticians.

 

Courses from other hepartments Potential outcomes
Humanities and Social Science Ability to develop soft skills, good humane values, group and cooperative teamwork, and enterpreneurship
Physics Understanding the physical processes and apply knowledge to biological problems
Mathematics Ability to dissect and apply logical, cognitive processes and applications
Computer Science Ability to analyze, design, model, and develop software and manage information systems

 

bioinformatic pi chart
Distribution of credits gained in the 4 yr.B.Tech Bioinformatics curriculum.

Programme Educational Objectives (PEOs)
  • PEO1: Enrich knowledge in information technology, bioinformatics, statistics, biotechnology and allied subjects with capability to integrate techniques/knowledge across disciplinary boundaries for developing algorithms/software/technology.
  • PEO2: Enable to identify, analyze and solve real world problems with novelty and updated knowledge.
  • PEO3: Develop competence to execute a project with originality of ideas, their economic feasibility, protection and translational value
  • PEO4: Inculcate spirit of teamwork, ethical behavior, constructive thinking and judgmental wisdom
  • PEO5: Professionals capable to work successfully in the working environments of industry, academia, and government organizations
Programme Outcomes (POs)

A graduate of the Bioinformatics will demonstrate

  • 1. Engineering knowledge: Apply knowledge of Mathematics, Statistics, Information Technology, Biotechnology and Engineering specialization (Bioinformatics) to solve complex problems in Bioinformatics and Healthcare.
  • 2. Problem analysis: Identify, formulate, review literature, and analyze complex engineering/development problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • 3. Design/development of solutions: Design/develop model for complex engineering problems that meet specified needs with appropriate consideration for the public health, societal and environmental considerations.
  • 4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of models, management analysis and interpretation of data, and synthesis of information to provide valid conclusions.
  • 5. Modern tool usage: Create, select, and apply appropriate computing techniques, resources, and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • 6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • 7. Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • 9. Individual and team work: Attain skills effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 10. Communication: Communicate effectively on complex engineering activities and design documentation, make effective presentations, and give and receive clear instructions.
  • 11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • 12. Life-long learning: Recognize the need for, and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes (PSOs)
  • 1. Development of knowledgebase and expert systems: Thorough knowledge and technical competence to construct knowledgebases and expert systems using high throughput biological datasets towards value addition and development of computational solutions.
  • 2. Bioinformatics knowledge extraction tool: Capable to design and develop algorithms, software, bioinformatics pipelines and other computational platforms with potential impacts in academia, industry and society at large.