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School of Computer Science

Code · Create · Collaborate · Change — For a more human tomorrow.

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A Place to Build What Matters

Technology Grounded in People. Driven by Possibilities.

At Aaranya's School of Computer Science, we believe technology is most powerful when it serves people, communities, and the planet. Here, you'll find a vibrant space to explore, experiment, and create solutions for a better tomorrow.

“Good software builds brighter people.”

Why CS at Aaranya?

  • Interdisciplinary Learning: Blend CS with design, ethics, business, and the humanities.
  • World-Class Faculty: Learn directly from active researchers, systems architects, and builders.
  • Real-World Impact: Build open solutions that address climate monitoring, assistive healthcare, and civic infrastructure.
  • Supportive Community: An ego-free culture of mentorship, psychological safety, and creative collaboration.
School of Computer Science Official Brochure
Academic Architecture

Comprehensive Curricula by Degree

Inspect the year-by-year academic syllabus, core modules, lab studios, and capstones across our undergraduate, graduate, and doctoral tracks.

B.Tech. in Computer Science (FYUP Honours / Honours with Research)

4 Years · 8 Semesters · 160 Academic Credits · UGC CCFUGP & ABC Compliant · Direct Ph.D. Pathway

NEP 2020 FYUP
Four-Year Undergraduate Programme (FYUP) — Multiple Entry & Exit Pathways Academic Bank of Credits (ABC) Enabled
Stage 1 · Year 1 UG Certificate Awarded on completing 40 credits core + 4-credit summer vocational studio. 40 + 4 Credits
Stage 2 · Year 2 UG Diploma Awarded on completing 80 credits core/minor + 4-credit summer tech internship. 80 + 4 Credits
Stage 3 · Year 3 B.Tech. Degree Standard graduation milestone upon completing 120 certified academic credits. 120 Credits
Stage 4 · Year 4 Honours / Research B.Tech. (Honours) or B.Tech. (Honours with Research with 12-credit thesis for direct Ph.D.). 160 Credits

Year 1: Foundations, MDC & IKS Semesters 1 & 2 (40 Credits)

CS101DSCIntroduction to Computing & Python4 Credits
MA101DSCCalculus & Linear Algebra for Engineers4 Credits
PH102MDCPhysics & Quantum Computing Basics4 Credits
CS102DSCDiscrete Mathematical Structures4 Credits
IKS101IKS / VACIndian Knowledge Systems & Vedic Computational Logic2 Credits
EC105DSCDigital Logic & Computer Systems Design4 Credits
CS104DSCObject-Oriented Programming (C++ & Java)4 Credits
AEC101AECTechnical Communication & Scientific Writing2 Credits
HU101VACEthics, Technology & Environmental Sustainability2 Credits
CS191SECFoundations Programming Studio (Lab)2 Credits

Year 2: Core Systems, Minors & SEC Semesters 3 & 4 (40 Credits)

CS201DSCData Structures & Advanced Algorithms4 Credits
CS202DSCComputer Organization & Architecture4 Credits
MA203DSCProbability, Statistics & Random Processes4 Credits
CS204DSCOperating Systems & Kernel Internals4 Credits
CS205DSCDatabase Management Systems (SQL & NoSQL)4 Credits
MIN201MINInterdisciplinary Minor Track Course I (Law/Design/Econ)4 Credits
MIN202MINInterdisciplinary Minor Track Course II4 Credits
CS291SECSystems & OS Implementation Lab2 Credits
CS292SECFull-Stack Cloud & Open Source Practicum2 Credits

Year 3: Machine Intelligence, DSE & Internship Semesters 5 & 6 (40 Credits)

CS301DSCComputer Networks & Internet Protocols4 Credits
CS302DSCArtificial Intelligence & Heuristic Search4 Credits
CS303DSCCompiler Design & Program Analysis4 Credits
CS304DSCMachine Learning: Principles & Pipelines4 Credits
CS305DSECloud Computing & Distributed Microservices4 Credits
MIN301MINInterdisciplinary Minor Track Course III4 Credits
CS391SECAI & Machine Learning Studio (Lab)2 Credits
IN301INTMandatory Summer Corporate/Research Internship4 Credits

Year 4: Honours Specialization or Research Thesis Semesters 7 & 8 (40 Credits)

CS401DSECryptography & Distributed Network Security4 Credits
CS402DSEDeep Neural Architectures & Generative Models4 Credits
MIN401MINAdvanced Interdisciplinary Minor Capstone4 Credits
CS491RESResearch Methodology & Project Formulation4 Credits
Track A: B.Tech. (Honours) CS492: Senior Enterprise Systems Capstone
12 Credits
Track B: B.Tech. (Honours with Research) CS493: 12-Credit Doctoral Research Dissertation & Defense (Direct Ph.D. Entry for CGPA ≥ 7.5)
12 Credits

NEP 2020 Interdisciplinary Minor Baskets (20–24 Credits)

Minor in Cognitive Science & Philosophy of Mind Offered with Liberal Arts: Neural computation, epistemology, philosophy of consciousness, and semantic models.
Minor in Cyber Law & Digital Ethics Offered with School of Law: Algorithmic regulation, GDPR & data sovereignty, intellectual property in code, and cyber forensic policy.
Minor in Interaction Design & HCI Offered with School of Design: Spatial computing, hardware interaction rigs, UI prototyping, and haptic systems.
Minor in Computational Economics & FinTech Offered with Business School: Algorithmic game theory, financial econometrics, automated market makers, and blockchain.

Departmental Elective Pools (Semesters 5–8)

Intelligent Systems Pool: Natural Language Processing, Reinforcement Learning, Computer Vision, Autonomous Robotics, Generative Audio/Video Models.
Systems & Cloud Architecture Pool: High-Performance Distributed Clusters, Site Reliability Engineering, Microservices Orchestration, Linux Kernel Hacking.
Security & Cryptography Pool: Zero-Knowledge Proofs, Post-Quantum Cryptography, Network Penetration Testing, Binary Exploitation.
Open Interdisciplinary Elective: Any 4 credits selected from Liberal Arts, Law, Business, or Design.

B.Sc. in Computer Science (4-Year FYUP Honours / Research)

4 Years · 8 Semesters · 160 Academic Credits · Multiple Exit Awards · UGC CCFUGP Framework

NEP 2020 FYUP
B.Sc. Computer Science Multiple Exit Qualifications Academic Bank of Credits
Stage 1 · Year 1 UG Certificate Certificate in Computational Foundations upon completing 40 credits + 4-credit summer studio. 40 + 4 Credits
Stage 2 · Year 2 UG Diploma Diploma in Software Systems & Data Structures upon completing 80 credits + 4-credit internship. 80 + 4 Credits
Stage 3 · Year 3 B.Sc. Degree B.Sc. in Computer Science degree upon securing 120 certified academic credits. 120 Credits
Stage 4 · Year 4 B.Sc. (Honours / Research) Advanced specialization or 12-credit Research Thesis (CGPA ≥ 7.5 for direct Ph.D. entry). 160 Credits

Year 1: Computational Foundations Semesters 1 & 2 (40 Credits)

BSC101DSCProgramming Foundations with C & Python4 Credits
BSC102DSCDiscrete Mathematical Logic4 Credits
BSC103DSCComputer System Fundamentals4 Credits
BSC104DSCLinear Algebra & Vector Calculus4 Credits
IKS101IKS / VACIndian Knowledge Systems & Mathematical Traditions2 Credits
AEC101AECEnglish & Modern Indian Language Communication2 Credits
SEC101SECPractical Linux & Python Automation Tools2 Credits

Year 2: Data, Systems & Web Semesters 3 & 4 (40 Credits)

BSC201DSCData Structures & Algorithm Design4 Credits
BSC202DSCRelational & Distributed Database Systems4 Credits
BSC203DSCOperating Systems Concepts4 Credits
BSC204DSCWeb Technologies & Modern Application Frameworks4 Credits
MIN201MINInterdisciplinary Minor Elective I4 Credits
SEC201SECFull-Stack Cloud Deployment Studio2 Credits

Year 3: Applied Computation & AI Semesters 5 & 6 (40 Credits)

BSC301DSCFoundations of Artificial Intelligence & Data Science4 Credits
BSC302DSCNetwork Fundamentals & Cybersecurity4 Credits
BSC303DSESoftware Architecture & Agile Management3 Credits
MIN301MINInterdisciplinary Minor Elective II4 Credits
IN301INTMandatory Summer Corporate/Research Internship4 Credits
BSC391RESUndergraduate Capstone Project & Defense5 Credits

Year 4: Honours Specialization / Research Semesters 7 & 8 (40 Credits)

BSC401DSEAdvanced Machine Learning & Neural Computing4 Credits
BSC402DSEScalable Cloud & Distributed Architecture4 Credits
MIN401MINInterdisciplinary Minor Capstone4 Credits
Track A: B.Sc. (Honours) Advanced Coursework & Software Studio Project
12 Credits
Track B: B.Sc. (Honours with Research) Doctoral Research Thesis & Defense (Direct Ph.D. Entry for CGPA ≥ 7.5)
12 Credits

NEP 2020 Minor Concentrations (20–24 Credits)

Minor in Mathematics & Statistical Modeling: Probability Theory, Numerical Methods, Graph Theory, and Stochastic Processes.
Minor in Digital Humanities: Computational Linguistics, Text Mining in Ancient Literature, and Cultural Analytics.
Minor in Sustainable Technology: Green Data Centers, Electronic Waste Life-Cycles, and Low-Power Edge Computing.

Elective Specialization Modules

Elective Pool A: Full-Stack React & Node Systems, Mobile App Engineering (Flutter/Swift), Modern DevOps Pipelines.
Elective Pool B: Relational Database Optimization, Big Data with PySpark, Cloud Fundamentals (AWS/GCP).
University Elective: Any 1 course from Business Management, Environmental Economics, or Constitutional Law.

M.Sc. in Advanced Computing (NEP 2020 Modular Postgrad)

1 Year (40 Credits for 4-Yr FYUP Graduates) or 2 Years (80 Credits for 3-Yr Graduates) · Thesis Track

NEP 2020 PG

Year 1: Advanced Computing Paradigms Semesters 1 & 2 (40 Credits)

MSC501DSCAdvanced Algorithms & Computational Complexity4 Credits
MSC502DSCDistributed Systems & Consensus Protocols4 Credits
MSC503DSCDeep Learning: Architectures & Optimization4 Credits
MSC504DSCHCI Research Methodologies & Accessibility4 Credits

Year 2: Frontier Specialization & Master's Thesis Semesters 3 & 4 (40 Credits)

MSC601DSEHigh-Performance GPU Computing & Parallel Architectures4 Credits
MSC602DSEApplied Cryptography & Privacy-Enhancing Tech4 Credits
MSC691RESGraduate Research Seminar & Methodology2 Credits
MSC692RESMaster's Research Thesis & Viva Voce12 Credits

Advanced Specialization Clusters

Cluster 1: Frontier Machine Intelligence Large Foundation Models, Transformer Architectures, Multimodal Learning, and Neuro-Symbolic AI.
Cluster 2: Scalable Distributed Systems Consensus protocols (Paxos/Raft), distributed key-value storage, and fault-tolerant architectures.
Cluster 3: Quantum Computing & Information Quantum Algorithms (Shor/Grover), Quantum Circuit Simulation, and Qubit Hardware Interfaces.

Cross-School Graduate Electives

Law & Ethics Elective: Global AI Governance, Regulatory Frameworks, and Algorithmic Auditing.
Design Elective: Advanced Interaction Prototyping, Spatial Reality & Vision Computing.
Business Elective: Technology Commercialization, Deep-Tech Venture Incubation, and IP Strategy.

Ph.D. in Computer Science (Direct Pathway post 4-Year FYUP)

3–5 Years · Doctoral Research Fellowships · UGC Ph.D. Regulations 2022 Compliant

Doctoral Fellowship

NEP 2020 Doctoral Progression Stages:

  • Stage 1
    Advanced Doctoral Coursework & Research Ethics (12–14 Credits):

    Research Methodology in Computer Science, Quantitative Empirical Analysis, Research & Publication Ethics (RPE), and Advanced Specialization Seminar in candidate's area.

  • Stage 2
    Comprehensive Qualifying Exam & Dissertation Proposal (Year 1.5):

    Oral defense of state-of-the-art literature review and approval of the doctoral research thesis proposal before the Academic Faculty Committee.

  • Stage 3
    Frontier Research, Publication & Defense (Years 2–4):

    Original experimental contribution with requirement of at least two publications in top-tier peer-reviewed conferences (e.g. NeurIPS, ICML, OSDI, SIGCHI, IEEE S&P) followed by final open dissertation defense.

Doctoral Specialization Clusters

Foundation Models & Mechanistic Interpretability Attention circuits, transformer reverse engineering, representation geometry, and alignment verification.
Decentralized Systems & Cryptographic Protocols Zero-knowledge SNARKs, consensus Byzantine fault tolerance, and verifiable decentralized computing.
Autonomous Robotics & Embodied AI Sim-to-real transfer, spatial reinforcement learning, tactile sensing, and multi-robot coordination.
Quantum Computational Architectures Quantum circuits, error mitigation algorithms, quantum advantage proofs, and hybrid quantum-classical algorithms.

Doctoral Research Seminars & Electives

Advanced Topics in Distributed Systems (OSDI/SOSP Reading) Critical dissection of foundational papers, fault injection methodologies, and formal verification with TLA+.
Theoretical Foundations of Deep Learning Overparameterization theory, neural tangent kernels, generalization bounds, and implicit regularization.
Research Ethics, Responsible AI & Policy Dual-use evaluation, copyright in generative synthesis, watermarking, and academic integrity.
Experiential Ecosystem

Beyond the Classroom

Frontier Research Labs

Active discovery in AI & Machine Learning, Data Science, Human-Computer Interaction (HCI), Distributed Operating Systems, and Cryptographic Security.

Innovation Hub

Turn student ideas into prototypes, software products, and venture-funded open source startups with seed incubation.

Hackathons & Events

Learn, build, and grow together through semester hackathons, cybersecurity CTFs, and AI build sprints.

Global Opportunities

International research fellowships, faculty-led overseas research, and student exchange programs with top partner universities.

A Campus That Cares

Green study courtyards, lakeside coding pods, ergonomic workspaces, and student wellness support programs.

The Core Pillars

Kinder Tech · Brighter Societies · Greener Solutions · Stronger Tomorrows.

“Not just a place to learn technology, but a place to use it for something greater.”

Aaranya School of Computer Science · Learn Today. Shape a Kinder Tomorrow.