AI Core
Foundational Intelligence
- Algorithms, data structures, machine learning, deep learning, generative AI
- Strong mathematical and computational grounding
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School of Computer Science
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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Context · Careers · Curriculum
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 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.
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.
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.
AI Core + Industry Spine + Domain Layer
Foundational Intelligence
Applied Relevance
Contextual Depth
| Evolving job roles | Core skills | Curriculum 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
Discover some of the organisations where UPES alumni work.

Industry conversations and hands-on experiences that bring learning to life.

Twenty UPES students interacted with Sam Altman and gained first-hand insights into artificial intelligence, leadership, innovation and future careers in an AI-driven world.

AI LABS 2026 brought together 200+ students for hands-on learning in Agentic AI, Gemini, multimodal intelligence, Google AI Studio and real-world AI deployment.
*'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.’