Explore CSE Honours pathways
Four full-time specialisations. One strong CSE foundation.
Program overview
From raw data to decisions that move industries
Organisations win when they turn data into insight — and insight into action. This full-time honours pathway prepares you to do exactly that.
The B.E. (Hons.) CSE with Specialization in Artificial Intelligence and Data Science combines a complete CSE degree with a 19-credit track covering AI & Machine Learning, Applied Data Science & Visualisation, NLP, Web & Social Media Analytics, and Mining Massive Datasets with Lab (from AY 2025–26 onwards).
You will analyse real datasets, build visual stories, apply ML, and graduate ready for analytics, product, and research roles — supported by campus labs and industry collaborations.
10+Labs & centres — FinTech, Mobile App (SBI), Digital Inclusion (Dell)
MoUsCheck Point, IIT Madras, emudhra, Pantech & industry partners
19Honours credits from Semesters III–VII for the award
Where graduates create impact
Skills that travel across industries
Healthcare analytics
Outcomes research, operational dashboards, and predictive care models.
BFSI & FinTech
Risk, fraud, customer intelligence, and digital banking analytics.
Retail & eCommerce
Segmentation, recommendations, and campaign measurement.
Media & Social
Sentiment, influence mapping, and content intelligence.
Public & Smart cities
Open data, planning insights, and civic analytics.
Why this programme?
Designed to be beautiful to learn — and serious to graduate
Data-first honours curriculum
AI/ML → Applied DS & Visualisation → NLP → Social analytics → Massive dataset mining with lab.
Full-time campus experience
Collaborate in labs and studios at Enathur — not a remote-only programme.
Visual storytelling edge
Learn to make data speak with dashboards, EDA, and presentation-ready insights.
Industry-connected facilities
FinTech, Mobile App, and Digital Inclusion labs plus CSE research culture.
Faculty & practitioner exposure
Guided by CSE faculty and MoU partners across security, cloud, and learning tech.
Career scaffolding
Aptitude, soft skills, internships, and placement cell support.
Transparent CBCS assessment
Continuous assessment + end-semester exams with clear grade bands.
University-recognised Honours
Awarded by SCSVMV Deemed to be University (NAAC A Grade).
Learning by building
Multiple projects. Many levels. One transformative experience.
Visualisation lab
Applied DS Projects
Clean, explore, and visualise datasets; build dashboards that drive decisions.
Capstone
Final Year Project
Tackle a messy, real analytics or AI problem with guide & HoD evaluation and viva.
Community challenges
Hackathons & Events
Data visualisation workshops, BIOS, SIH, and industry-linked contests.
What will you learn?
Honours specialisation — 19 credits (Semesters III–VII)
Alongside the full B.E. CSE curriculum, honours students complete these specialised courses (Regulation AY 2025–26 onwards). A minimum of 19 credits is required for the Honours award.
Semester IIIAI and Machine Learning3 credits
Semester IVApplied Data Science and Visualization5 credits
Semester VNatural Language Processing3 credits
Semester VIWeb and Social Media Analytics3 credits
Semester VIIMining Massive Dataset with Lab5 credits
| Semester | Course title | L–T–P | Credits |
|---|---|---|---|
| III | AI and Machine Learning | 3–0–0 | 3 |
| IV | Applied Data Science and Visualization | 3–0–4 | 5 |
| V | Natural Language Processing | 3–0–0 | 3 |
| VI | Web and Social Media Analytics | 3–0–0 | 3 |
| VII | Mining Massive Dataset with Lab | 3–0–4 | 5 |
| Total honours credits | 19 | ||
Year 1–2 foundation: Strong CSE foundations — programming, maths, data structures, databases, and systems — so your analytics rest on solid engineering.
Year 3–4 depth: AI/ML, visualisation labs, NLP, social media analytics, and large-scale data mining — with electives, internships, and the final project.
Download full syllabus (PDF) · B.E. CSE regulations 2026–27 · All academic programmes
Campus labs & centres
Where theory becomes practice
PRAGNA Artificial Intelligence Lab
Mobile Application Laboratory (SBI)FinTech Innovation Lab
VR & immersive studioCSE computing laboratory
Immersive computing studio
Mobile Application Laboratory
CSR initiative by State Bank of India — inaugurated by Shri Challa Sreenivasulu Setty — for real mobile products.
FinTech Innovation Lab
Unveiled by Shri M.V. Rao, MD, Central Bank of India — digital banking and AI-led financial applications.
Digital Inclusion & immersive studio
Inaugurated by Ms. Archana Sahay, Dell Technologies — empowerment through inclusive technology, with VR and studio spaces for immersive work.
Plus CSE computing labs, research facilities, IDEA Lab access, and MoUs with Check Point, IIT Madras, emudhra, Pantech, Zuppa, and more.
Careers
What this programme prepares you for
Data Scientist
Models, experiments, and insight for product & business.
Data Analyst
Dashboards, KPIs, and decision support.
ML Engineer
Productionise learning systems.
BI / Analytics Engineer
Reliable pipelines and semantic models.
Social / Web Analyst
Behaviour, content, and growth intelligence.
Product Analyst
Experimentation and user outcomes.
Research & Higher Studies
M.E., data science PG, and research labs.
Consultant / Founder
Advise or build data-led ventures.
Recruiters engaging CSE talent include TCS, Infosys, and leading product firms. View CSE placements.
Eligibility
Who can apply?
Qualification
- Completed 10+2 with Physics and Mathematics plus one eligible subject.
- Minimum 50% marks (40% for reserved category).
- Maximum age for B.E. / B.Tech (Full Time): 20 years.
Programme facts
- Mode: Full-time, on-campus (not online / ODL).
- Duration: Normally 4 years; maximum 7 years.
- Attendance: Minimum 80% per course.
- Campus: Enathur, Kanchipuram – 631561.
Fee structure
Transparent fees with merit scholarships
B.E. Full Time – CSE semester fees follow the University engineering schedule (merit scholarships by PCM / HSC). Indicative:
| Category (illustrative) | B.E. Full Time – CSE / semester |
|---|---|
| PCM 95% & above | ₹55,000 |
| PCM 90–94.99% / JEE Mains | ₹60,000 |
| PCM 80–89.99% | ₹70,000 |
| PCM 70–79.99% | ₹85,000 |
| PCM 60–69.99% | ₹1,00,000 |
| General / below scholarship band | up to ₹1,05,000 |
| One-time admission fee | ₹25,000 |
District fee slabs and sibling/alumni scholarships may apply. Confirm on the official Fee Structure page before applying.
FAQ
Honours, fees, and essential information
What does B.E. (Hons.) CSE — AIDS mean?
You complete the full four-year B.E. Computer Science & Engineering degree and an additional Honours specialisation in Artificial Intelligence & Data Science. The Honours award requires 19 specialised credits taken in Semesters III–VII (Regulation AY 2025–26 onwards), offered by the Department of CSE at SCSVMV Deemed to be University.
How is Honours different from a regular B.E. CSE?
The CSE core, duration, campus mode, and university regulations are the same. Honours students take a structured extra specialisation track (19 credits) so the degree is awarded as B.E. (Hons.) CSE with this specialisation. Students who do not complete the 19-credit track graduate as B.E. CSE without the Honours specialisation, as per regulations.
When do Honours papers start, and can I join later?
Honours courses begin in Semester III and continue through Semester VII. Years 1–2 build CSE foundations. Change of specialisation or late entry, if permitted at all, follows University / department rules for that academic year — write to hodcse@kanchiuniv.ac.in before assuming a switch.
What is the eligibility, age limit, and campus mode?
Completed 10+2 with Physics and Mathematics plus one eligible subject; minimum 50% marks (40% for reserved category). Maximum age for B.E. / B.Tech (Full Time) is 20 years. This is a full-time, on-campus programme at Enathur, Kanchipuram — not online or ODL. Courses offered & eligibility.
How long is the programme, and what attendance is required?
Normal duration is 4 years (8 semesters); the maximum period allowed is 7 years. Minimum attendance is typically 80% per course. Assessment follows CBCS (about 40% internal + 60% end-semester) with university S–E grading as in the CSE regulations.
What is the tuition fee for this Honours CSE programme?
These pathways follow the University B.E. Full Time – CSE semester fee (not a separate published Honours tariff). Indicative slabs: PCM 95% & above ₹55,000; 90–94.99% / JEE Mains ₹60,000; 80–89.99% ₹70,000; 70–79.99% ₹85,000; 60–69.99% ₹1,00,000; general / below scholarship band up to ₹1,05,000 per semester. Always confirm on the official Fee Structure page.
Is there an extra fee only because it is Honours?
The published engineering semester fee for B.E. Full Time CSE applies to AIML, AIDS, Cyber Security, and IoT Honours. Merit, district, sibling, and alumni concessions may reduce the payable amount. There is no separate “Honours surcharge” listed on the public fee table; use the current University circular as the source of truth.
What is the one-time admission fee, and what else should families budget?
A one-time admission fee of ₹25,000 is listed with the engineering schedule. Plan separately for hostel and mess (if residential), examination-related charges, and personal learning materials. Those items are not the same as semester tuition.
How do I apply, and who do I contact?
Apply through the University Admissions portal with 10+2 documents. Programme questions: Dr. M. Senthil Kumaran, HoD CSE — hodcse@kanchiuniv.ac.in, Enathur, Kanchipuram – 631561.
Where can I download the syllabus and CSE regulations?
How is AIDS Honours different from AIML, and what are the papers?
Both are 19-credit CSE Honours tracks. AIDS emphasises AI/ML, applied data science & visualisation, NLP, web/social analytics, and mining massive datasets with lab. AIML emphasises intelligent systems, deep learning, and Generative AI / LLMs.
Department contact
Ready to shape your future with this Honours pathway?
Dr. M. Senthil Kumaran
Head of the Department, Computer Science and Engineering
Email: hodcse@kanchiuniv.ac.in
Campus: Enathur, Kanchipuram – 631561