Welcome to the School of Computer Sciences & Applications

The School of Computer Sciences & Applications at Aryavart University is a hub of technological excellence, providing cutting-edge education in the realm of computing and applications.

Our department offers a diverse range of programs that cater to aspiring tech enthusiasts, equipping them with the skills and knowledge required to thrive in the digital age.

At Aryavart University, we offer comprehensive programs in Computer Science to equip students with the knowledge and skills necessary for a successful career in the IT industry. Our courses include BCA, MCA, PGDCA, and DCA, BSc Computer Science, MSc Computer Science

With state-of-the-art infrastructure and a team of experienced faculty, we nurture a learning environment that fosters innovation, critical thinking, and problem-solving abilities.

Why Choose Us?

  • Expert Faculty: Learn from experienced professors and industry experts.
  • Modern Infrastructure: Well-equipped computer labs with the latest technology.
  • Industry Exposure: Internship opportunities with top IT companies.
  • Career Support: Placement assistance to help students secure jobs in reputed organizations.
  • Flexible Learning: Online and offline course options available.

Career Prospects of Computer Sciences & Applications:

Graduates from our School of Computer Sciences & Applications have diverse career opportunities, including:

  • Software Development: Create and design innovative software applications.
  • Web Development: Craft interactive and dynamic websites and web applications.
  • Data Science and Analytics: Analyze and interpret complex data to derive valuable insights.
  • Information Technology Management: Oversee IT infrastructure and operations.
  • Mobile App Development: Develop cutting-edge mobile applications for various platforms.
  • Cybersecurity: Protect and secure computer systems and networks from threats.
  • Agriculture and Food Science: Enhance agricultural productivity and food safety through scientific research.
  • Artificial Intelligence and Machine Learning: Work on AI-driven projects and automation.
  • Research and Development: Contribute to technological advancements through research.