B.Sc. in Bioinformatics, Statistics & Computer Science
Science (B.Sc)
Shortlisted by 0+ Students
Location: Bengaluru/Bangalore
Duration: 3 YEAR
Regular / Offline
Average Fees: ₹ 3.90 Lakhs
Highlights The B.Sc. in Bioinformatics, Statistics & Computer Science at REVA University is a three-year interdisciplinary undergraduate programme that combines biological sciences, statistical analysis, and computer science to prepare students for emerging careers in life sciences and technology. The course is designed for students who are interested in understanding how computational tools and data analytics can be applied to biological research, healthcare, genomics, and biotechnology. Through a blend of theory, laboratory learning, programming, and research-based activities, students develop both scientific and technical skills required in today’s rapidly evolving digital and healthcare sectors.
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Placements
The Placement Centre / Career Development Centre (CDC) at REVA University acts as a strong link between students and companies, ensuring that students are trained, prepared, and guided for suitable job opportunities. It focuses not only on final-year placements but also on continuous skill development from the early semesters, ensuring students are industry-ready by the time they graduate.
The CDC conducts structured training in communication skills, aptitude, group discussions, interview techniques, leadership, and interpersonal skills. Along with this, students are also exposed to certification programmes, workshops, bootcamps, and technical training sessions designed in collaboration with industry partners. This helps students build both technical and soft skills required for modern job roles.
REVA University has built a strong reputation among recruiters, and many companies visit the campus every year for hiring across engineering, management, and other disciplines. The university’s emphasis on practical learning, projects, and industry collaboration contributes to consistent placement opportunities for students across domains like IT services, software development, analytics, consulting, and core engineering roles.
Placement preparation is integrated into the academic journey, starting from the first year itself. Students are encouraged to participate in mock interviews, coding challenges, internships, hackathons, and industry interaction sessions, which significantly improve their employability.
The campus placement ecosystem is designed to ensure that students are not only placed but placed in roles that match their skills and career goals.
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