Computer Science and Engineering (Data Science)
Department
The Department of Computer Science & Engineering (Data Science) at Dayananda Sagar University (DSU), Bengaluru, is a dynamic, research-driven academic unit committed to producing the next generation of data scientists, AI practitioners, and analytics professionals. Operating within the School of Engineering and aligned with DSU’s "AI First" institutional vision, the department offers a 4-year B.Tech programme in CSE (Data Science) designed to equip students with the ability to combine machine learning techniques, algorithms, statistical tools, business acumen, and mathematics to extract actionable insights from raw data.
Students are trained across the full data value chain - from collection, storage, and processing to modelling, visualization, and deployment at scale - with a strong emphasis on hands-on, project-based learning.
Recent Infrastructure Upgrades
- DGX GPU Cluster - high-performance NVIDIA DGX computing infrastructure for research and deep learning workloads.
- Five Departmental Centres of Excellence (CoEs) - covering Data Engineering, Vision Analytics, and applied AI.
- IBM Software Lab for Emerging Technologies - access to IBM tools and platforms for software development and analytics.
- Dedicated Data Science & Computing Laboratories - purpose-built for data preprocessing, model training, and deployment.
- DSU AI First Initiative - the department is central to the university’s AI-First strategy across research, curriculum, and pedagogy.
Curriculum Growth - Courses Offered by Year
| Academic Year | Total Courses Offered | New / Revised Courses | % Revised |
| 2023-24 | 54 | 10 | 18.5% |
| 2024-25 | 58 | 9 | 15.5% |
| 2025-26 | 52 | 10 | 19.2% |
The department maintains a rolling curriculum-revision cycle, with roughly one in five courses updated each year - reflecting the introduction of new-age topics such as DevOps & MLOps, Cloud Data Engineering, Deep Learning Essentials, Data Privacy & Ethics, and Data Science for AI.
Curriculum Focus Areas (2025-26 Onwards)
- Generative AI and Large Language Models (LLMs)
- MLOps and DevSecOps for AI pipelines
- Federated Learning and Privacy-Preserving AI
- Explainable AI (XAI) and Responsible AI
- Cloud Application Development and Distributed Computing
- Agentic AI Systems
Industry Certification Track Record
The department has institutionalised certification-based alternate assessment by embedding globally recognised industry certifications directly into core courses. In Cloud Data Engineering, all 135 fifth-semester students of the previous cohort completed two industry certifications in a single semester at a 100% pass rate - recorded student-by-student and independently verifiable. The model has been retained and expanded, with the current 5th-semester cohort of 203 students pursuing the AWS Certified Data Engineer - Associate certification.
| Certification | Provider | Embedded In | Status | Students | When |
| Azure Data Fundamentals (DP-900) | Microsoft | Cloud Data Engineering | Completed | 135 | 10 Nov 2025 |
| OCI 2025 Data Science Professional | Oracle | Cloud Data Engineering | Completed | 135 | 24 Oct 2025 (valid to Oct 2027) |
| AWS Certified Data Engineer - Associate (DEA-C01) | AWS | Cloud Data Engineering | In Progress | 203 (current 5th sem) | Ongoing |
| NVIDIA DLI Certified Courses | NVIDIA | Across 8 semesters | Embedded | 15 courses / 52 credits | Curriculum-wide |
Industry MoU Partners
Official partner logos can be pasted over these chips in the published version.
| NVIDIA (DLI / DGX) | Oracle Academy | Microsoft |
| NexusIQ Solutions | Mevi Technologies LLP | MATLAB / MathWorks |
1.2 Programme Map with Curriculum
A semester-wise map of the B.Tech CSE (Data Science) 2025 scheme (160 total credits), showing course progression from foundation through specialization and capstone.
| Sem | Focus | Representative Courses |
| I | Foundation | Linear Algebra & Differential Equations · C Programming · Engineering Chemistry · Engineering Graphics & Design Thinking · Technical English · Cognitive & Technical Skills I |
| II | Foundation | Single & Multivariate Calculus · Object Oriented Programming · Environmental Science · Kannada Kali/Manasu · Cognitive & Technical Skills II |
| III | Core CSE | Probability & Statistics · Data Structures · Computer Organization & Architecture · Discrete Mathematics & Graph Theory · Web Technologies · DBMS · OOPS with Java |
| IV | Core DS | Transforms & Numerical Techniques · Design & Analysis of Algorithms · Data Science & Visualization · Machine Learning · Enterprise Data Warehousing · Minor Project |
| V | Applied DS + Certifications | Machine Learning · Big Data Analytics · Cloud Data Engineering · Software Engineering Principles · BI Tools · Open Elective I · Mini Project |
| VI | Advanced AI | Deep Learning Essentials · Principles of DevOps & MLOps · Computer Networks · Introduction to AI · Natural Language Techniques · NoSQL |
| VII | Specialization | Business Intelligence · Data Science for Artificial Intelligence · Professional Electives · Capstone Project Phase I |
| VIII | Capstone | Data Privacy & Ethics · Capstone Project Phase II · Internship |
Credit & Certification Overlay
| Track | Coverage | Credits | Share of 160 |
| NVIDIA DLI-mapped courses | 15 courses across Sems I-VIII | 52 credits | 32.5% |
| CoE-backed courses | 11 courses | 42 credits | 26.2% |
Category split
Foundation & Humanities 12 · Core CSE 10 · DS Core 8 · AI & Deep Learning 7 · AI+X Electives 5 · Data Security 5.
- Sem V - Cloud Data Engineering: DP-900 (Microsoft), OCI Data Science Professional (Oracle), AWS DEA-C01 (in progress, 203 students).Sem V - Cloud Data Engineering: DP-900 (Microsoft), OCI Data Science Professional (Oracle), AWS DEA-C01 (in progress, 203 students).
- Honours / Minor / Specialization: additional 18-20 credits each, available Sem III onward.
1.3 NVIDIA Partnership - Powering AI Education
The Department of CSE (Data Science) has an active partnership with NVIDIA through its Deep Learning Institute (DLI), embedding industry-grade AI training directly into the curriculum. This collaboration gives students hands-on, certified exposure to GPU-accelerated computing, deep learning, and AI infrastructure - the same tools used across industry and research.
What the Partnership Delivers
- 15 NVIDIA DLI-certified courses mapped across all 8 semesters, contributing 52 credits (32.5% of the 160-credit programme) - one of the most DLI-integrated curricula in the region
- DGX GPU Cluster access - students and faculty run large-scale deep learning and data science workloads on NVIDIA DGX infrastructure
- Certification pathways - DLI Associate and Professional tracks in Generative AI & LLMs and Accelerated Data Science
- Faculty enablement - faculty trained as DLI-certified instructors to deliver the mapped courses in-house
University-wide NVIDIA Ecosystem
As part of DSU's broader "AI First" and NVIDIA AI Factory initiatives, students also benefit from institution-level facilities including the NVIDIA-Boston Innovation Lab, reinforcing a campus-wide commitment to advanced AI infrastructure.
1.4 Why Choose CSE (Data Science) at DSU?
1. Triple Cloud-Certification Advantage
- Students earn three globally recognised cloud certifications - Microsoft Azure Data Fundamentals (DP-900), Oracle OCI 2025 Data Science Professional, and AWS Certified Data Engineer - Associate (DEA-C01)
- All three are embedded within the flagship Cloud Data Engineering course - part of the core credit-bearing curriculum, not optional workshops
- Previous cohort: 135 students completed two certifications in a single semester at a 100% pass rate, recorded student-by-student and independently verifiable
- Current cohort: 203 students now pursuing AWS DEA-C01 - demonstrating that the model can scale
- Graduates develop vendor-neutral cloud fluency across Microsoft, Oracle, and AWS
2. Deeply NVIDIA DLI-Integrated Curriculum
- 15 NVIDIA Deep Learning Institute (DLI) courses mapped across all 8 semesters
- Contributes 52 credits - 32.5% of the 160-credit programme
- Hands-on training on the department's DGX GPU cluster using industry-grade AI infrastructure
- DLI Associate & Professional pathways in Generative AI, LLMs, and Accelerated Data Science
- Faculty trained as DLI-certified instructors to deliver these courses in-house
3. Research-Active Department
- 97 publications and patents produced in a single reporting window (Jan-Jul 2026)
- Active external-funding pipeline across VGST, ISRO, ANRF, ICMR, and Microsoft Research
- Students exposed to cutting-edge areas including agentic AI, federated learning, explainable AI, and misinformation detection
- Genuine opportunities for undergraduates to co-author papers and join funded projects.
4. Industry MoU Ecosystem
- Active MoUs with NVIDIA, Oracle Academy, Microsoft, NexusIQ Solutions, Mevi Technologies LLP, and MATLAB / MathWorks
- They power live projects, internships, Value-Added Courses, and certification tracks.
- Keeps the curriculum continuously aligned with real industry practice.
5. Strong, Rising Placements
- Top package reaching 18.6 LPA (Pegasystems)
- Recruiters include HPE, KPMG Global Services, Cyware Labs, StoneX, Infogain, and Mu Sigma
- Roles across data science, data engineering, and analytics.
- Backed by DSU's dedicated placement cell and structured career-training programmes
6. Certification-Based Alternate Assessment
- Globally recognised certifications replace conventional examinations in selected courses
- Students demonstrate mastery through live, industry-validated credentials
- First piloted in Cloud Data Engineering, proven at 100% pass rate, since retained and expanded.
- Aligns assessment with employability by enabling graduates to leave with a portfolio of verifiable credentials
