📄 09.10.2025 to 16.10 2025 CIA- MCQ Test ||    💼 15.10.2025 – General Faculty Meeting.    ||    🎨 17.10.2025 – Inter-Departmental Rangoli Making Competition by Kabir Club.    ||    🪔 17.10.2025 – Inter-Mentoring Group Diya Decoration Competition by Kabir Club.    ||    👁️‍🗨️ 17.10.2025 – Eye Screening Camp for Staff.    ||    🎆 18.10.2025 – Diwali Celebrations.    ||    📸 18.10.2025 – Session on “Introduction to Digital Photography” by Xavier Photography Club.    ||    🏛️ 21.11.2025 – National Seminar on “Building Resilient Commerce in a VUCA World”.    ||   

About School of Computer Science

About School of Computer Science

“Empowering innovators through Data, AI & Responsible Computing.”

The School of Computer Science, Xavier University Patna is committed to excellence in teaching, research, and innovation, preparing students to thrive in a rapidly advancing digital world. With a focus on cutting-edge technologies and interdisciplinary learning, the school offers two specialized programmes: BCA in Data Science and BCA in Artificial Intelligence & Machine Learning.

Our curriculum blends theoretical foundations with practical exposure through project-based learning, internships, and research collaborations. Students gain skills in Python, Machine Learning, Big Data, Deep Learning, and Cloud Technologies — building competencies essential for today’s AI-driven economy.

University building

Our Mission & Approach

“Education in computing is not about coding machines — it’s about empowering humans to solve tomorrow’s problems ethically and intelligently.”

Our approach focuses on cultivating technical excellence, critical thinking, and social responsibility. We encourage innovation through modern pedagogy, hackathons, internships, and real-world industry projects. Students are mentored to become professionals who understand both the logic of code and the ethics of impact.

Focus on Holistic Development

Learning

Knowledge & Skills

Students gain analytical and computational expertise with deep domain understanding.

Ethics

Ethics & Innovation

Building responsible technologists through ethics, sustainability, and inclusive design.

Global

Global Readiness

Preparing students to thrive in global workspaces and multicultural digital ecosystems.

Highlights of the School

Industry Interface

Strong industry collaboration through workshops, guest lectures, and live projects.

Research Culture

Encouraging student-led AI and data research under faculty mentorship.

Higher Studies Pathway

Guidance for advanced degrees like M.Tech, MCA, and global certifications.

Career Readiness

Comprehensive placement training with top recruiters and internship partners.

Our Approach

At the School of Computer Science, we emphasize

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INNOVATION

Innovation & Problem Solving

Encouraging analytical thinking and creative coding to develop impactful AI and data-driven solutions.

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COLLABORATION

Leadership & Collaboration

Fostering teamwork and leadership skills essential for modern software development and research environments.

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ETHICS

Ethical & Responsible Computing

Promoting responsible AI, data privacy, and sustainable use of technology for social good.

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RESEARCH

Research & Emerging Technologies

Exploring AI, IoT, cloud-native systems, and applied research to solve domain problems and publish real-world solutions.

This approach prepares students not only to code but to lead innovations that matter — solutions that are intelligent, ethical, and transformative in the evolving world of Artificial Intelligence and Data Science.

Technology background

Programme Highlights

BCA — Data Science

This programme builds expertise in data analytics, statistical modelling, programming and big-data technologies. Students learn to extract valuable insights, make informed decisions and solve real-world problems across sectors such as healthcare, finance and business. Practical training, labs and industry projects ensure career readiness.

BCA — Artificial Intelligence & Machine Learning

This programme emphasises intelligent systems, machine learning algorithms, deep learning and natural language processing. Students are trained to design, implement and deploy AI-driven solutions in domains such as automation, vision, language and cognitive computing. Research opportunities and applied projects encourage innovation and entrepreneurship.

Why Choose Us?

  • Expert faculty with academic and industry experience
  • State-of-the-art computer labs, GPU resources and research facilities
  • Strong industry-aligned syllabus, internships and placement support
  • Focus on innovation, ethics and lifelong learning

Why Choose Us — Quick Points

  • Expert faculty with academic and industry experience
  • State-of-the-art computer labs and research facilities
  • Strong industry related syllabus and placement support
  • Emphasis on innovation, ethics and lifelong learning
Programme Summary
Students will undertake practical courses, internships, and capstone projects to ensure employability and research skills.

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Latest Admissions Updates

    • For PG Programmes: Entrance Test & Interview Dates will be announced later


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