B.Sc. Computer Science
B.Sc. (Computer Science) at SSIPS: Empowering Future-Ready Innovators through NEP 2020-Aligned Education
The Bachelor of Science in Computer Science (B.Sc. CS) program at SSIPS is a progressive and academically rigorous course, structured in accordance with the guidelines of the National Education Policy (NEP) 2020. This alignment ensures that students receive a well-rounded, interdisciplinary, and research-focused education. The institution also offers Honours options, enabling students to pursue in-depth study in specialized areas of computer science and scientific computing
In light of the increasing significance of digital technologies and data-driven innovations, the B.Sc. (Computer Science) program has become a preferred academic pathway for science students. Graduates from SSIPS emerge with a strong scientific and computational foundation, equipped to contribute effectively to advanced research, technological innovation, and industry advancements across diverse sectors.
Curriculum: 4 year program with semester examinations
Course Outcomes
After completing the B.Sc. (Computer Science) program at SSIPS, students will be able to:
- Understand the basic concepts of computer science and scientific computing.
- Identify problems and create suitable computer-based solutions using programming and algorithms.
- Share technical and scientific information clearly in academic and workplace settings.
- Work well with others in teams, especially on science and technology-related projects.
- Follow ethical practices and apply scientific thinking in solving computing problems.
Facilities at SSIPS
At SSIPS, students enrolled in the B.Sc. (Computer Science) program benefit from a range of facilities designed to support their academic journey and holistic development:
- Personality Development Programs: Focused initiatives to improve soft skills, build confidence, and prepare students for professional environments.
- Career Guidance and Placement Services: Assistance in career planning and job placement through active collaboration with research centres, tech companies, and industry partners.
- Modern Learning Environment: Access to high-tech computer labs, e-library facilities, and interactive classrooms equipped with the latest educational tools.
- Expert Teaching Staff: Guidance from highly qualified faculty members with strong academic backgrounds and practical experience in areas such as computing, software engineering, and data science.