School of Computer Science

Shaping the Future of Intelligence

The UPES School of Computer Science stands at the forefront of a profound technological shift where artificial intelligence is redefining industries, economies, and human potential. As an AI-first institution, we offer a distinctive academic environment that blends intellectual rigor, technological depth, and real-world relevance.

Here, education is not merely about acquiring knowledge—it is about cultivating the ability to create, innovate, and lead in an increasingly intelligent world.

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Programs

Context · Careers · Curriculum

Computer Science in an AI-driven world

The Global Context

In a rapidly transforming global technology landscape, artificial intelligence has become a general-purpose technology—comparable to electricity or the internet. AI influence is permeating every sector, from finance and healthcare to energy and governance.

Against this backdrop, UPES School of Computer Science is positioned as an AI-first, industry-embedded school advancing a distinctive proposition: to educate technologists who are not only proficient in computing, but are also capable of architecting intelligent systems, navigating complexity, and leading technological transformation at scale.

The AI Inflection Point and the Future of Work

The global workforce is undergoing a structural shift. Automation, generative AI, and intelligent systems are redefining how work is performed, who performs it, and what skills are valued.

  • Routine and repetitive tasks are increasingly automated
  • Cognitive and creative work is being augmented by AI
  • New roles are emerging at the intersection of technology, domain expertise, and design

Roles such as AI engineers, machine learning specialists, data scientists, prompt engineers, and AI product managers are witnessing accelerated demand—often commanding significant salary premiums. At the same time, traditional roles are being redefined to require computational thinking, data fluency, and AI literacy.

Why Computer Science Has Never Been More Relevant

In an AI-driven world, Computer Science is not merely a discipline—it is the foundational language of innovation.

At UPES, Computer Science education is reimagined to reflect this new reality—integrating core principles with emerging technologies, ensuring that graduates are not just users of AI, but creators and leaders of it.

A rigorous grounding in computer science enables students to:

  • Understand the underlying architectures of intelligent systems
  • Build, evaluate, and deploy scalable AI solutions
  • Adapt to rapidly evolving tools and technological paradigms
  • Bridge the gap between algorithms, data, and real-world applications

The UPES Differentiator Model

AI Core + Industry Spine + Domain Layer

AI Core

Foundational Intelligence

  • Algorithms, data structures, machine learning, deep learning, generative AI
  • Strong mathematical and computational grounding

Industry Spine

Applied Relevance

  • Live projects, internships, practitioner-led modules
  • Tooling and workflows aligned with industry standards (including leading AI platforms)

Domain Layer

Contextual Depth

  • Application of computing across sectors such as energy, healthcare, finance, and sustainability
  • Ability to translate technology into domain-specific impact
Explore career roles, core skills and curriculum design
Evolving job rolesCore skillsCurriculum design
AI / ML Engineer Python, DL, MLOps AI-first core, ML labs, MLOps
Data Scientist Statistics, Data Engg. Data tracks, real datasets
Cybersecurity Specialist Crypto, Threat Analysis Security labs, simulations
Cloud / Platform Engg. Distributed Systems, DevOps Cloud-native projects
AI Product Manager Systems, UX, AI Ethics Product studios, case learning

Outcome: Graduates who combine technical depth, practical experience, and contextual intelligence—positioned to lead in complex, AI-driven environments.

1000+

Placement Offers*

For eligible students

₹1.3 Cr

Highest Package**

Secured by an alumnus

₹17.4 Lacs

Average CTC***

For the top 10% of the batch

*Placement statistics for eligible students. **Secured by an alumnus. ***Average CTC for Top 10% Batch.

Source note supplied with the original content: QS World University Rankings, 2026.

Beyond the classroom

Our alumni. Leading the way.

Discover some of the organisations where UPES alumni work.

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Faculty

Stories of Excellence

Academic Excellence

Prof. Dhinesh Kumar

Assistant Professor

School of Computer Science

Prof. Neelu Jyothi Ahuja

Professor

School of Computer Science

Prof. Saurabh Shanu

Assistant Professor-Selection Grade

School of Computer Science

Prof. Vinod Patidar

Professor

School of Computer Science

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*'All programs listed here are subject to approval of the UPES Academic Council. UPES reserves the right to introduce/discontinue/modify new/existing programs at its sole discretion, without prior intimation to any party.’