Pune AI & Data Science B.Tech Evaluator & Curriculum Matrix

Career Goal Presets:

Core Conceptual Distinction (Delhi Technological Univ. Expert Guidance): "Data Science is all about extracting actionable insights from data using statistics, SQL, and predictive analytics. In contrast, Artificial Intelligence focuses on creating autonomous learning and decision-making systems. Data Science fuels AI with structured data pipelines." Use this evaluator to verify whether a Pune college offers genuine deep learning & autonomous systems or standard IT data manipulation under an AI banner.

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Autonomous

D3 Institutional Capability Envelope

Curriculum Credit Hour Deconstruction

Total 160 B.Tech Degree Credits Allocation

Core CS & Math (Algorithms, OS, DBMS) 45 Cr (28%)

Data Science (Stats, EDA, Big Data, SQL) 42 Cr (26%)

Autonomous AI (Deep Learning, Vision, NLP, Agents) 45 Cr (28%)

Industry Capstone & Mandatory Internship 28 Cr (18%)

Compute Hardware Dual A100 GPU Cluster

Internship Structure 6-Month Industry Track

Average AI Package ₹11.8 LPA (Pune Tech Belt)

Industry Curriculum Refresh Annual Board of Studies

Pune B.Tech AI & Data Science Alignment Ranking

Ranked by your custom weighting model

Rank & Institute	Fit Score	Curriculum Modernity	Compute Labs	Internship Window	Hinjawadi / Magarpatta Tie-ins

Custom Weighting Dial

Adjust pillars to match your personal academic aspirations and placement requirements.

Core CS Rigor 20%

Pure Data Science & Analytics 30%

Deep Learning & Autonomous AI 25%

Industry Internships & Capstones 15%

GPU & High-Compute Lab Setup 10%

Campus Diligence Checklist

Hard questions for Pune admission rounds & HOD meetings:

Do students get direct SSH/container access to on-prem GPU nodes or cloud credits (AWS/Azure)? Is LLM fine-tuning, RAG, and Vector DBs in syllabus or relegated to extracurricular electives? Is the 8th semester completely reserved for full-time industry internships without on-campus lectures? Are faculty publishing in NeurIPS, CVPR, or KDD vs unindexed local conferences? Are MLOps, containerization (Docker/K8s), and cloud cost-monitoring tools taught natively?