Artificial Intelligence & Data Science

About the Department

A new B.Tech programme covering machine learning, data engineering, deep learning and applied AI.

👤 Head of Department: Dr. R. Vasanthi

Vision & Mission

The guiding statements for the AIDS department.

Vision

To produce engineers who build the AI and data systems that will reshape every industry over the next decade.

Mission

Build a strong mathematical foundation in linear algebra, probability, statistics and optimisation.
Provide hands-on training in modern ML/DL frameworks, big-data tools and cloud AI services.
Foster real-world capstone projects in healthcare, agriculture, finance and language AI.
Build research collaborations with industry AI labs and academic groups.

4-Year Curriculum Overview

An indicative year-by-year breakdown of the Anna University curriculum for Artificial Intelligence & Data Science. Actual semester offerings follow the latest Anna University regulation.

1

First Year — Foundation

Maths I/II, Physics, Chemistry, Python Programming, Engineering Graphics

2

Second Year — Core

Data Structures, Statistics for DS, Database Management, Linear Algebra, Probability

3

Third Year — Specialisation

Machine Learning, Deep Learning, Big Data, NLP, Data Visualization, AI Ethics

4

Fourth Year — Project & Internship

Reinforcement Learning, Computer Vision, MLOps, Capstone Project, Industry Internship

Career Scope after AIDS

Typical job roles graduates take up across industry, government and overseas markets.

Data Scientist ML Engineer AI Researcher Data Analyst MLOps Engineer BI Lead Computer Vision Engineer NLP Engineer

Additional roles recorded from our recent placement batches:

Data Scientist
Machine Learning Engineer
AI Engineer
Data Engineer
Computer Vision / NLP Engineer
MLOps Engineer
AI Research Associate

Programme Educational Objectives (PEOs)

Within 3-5 years of graduation, our AIDS graduates will:

PEO 1

Excel as Data Scientists, ML Engineers, AI Engineers, Data Engineers or Computer Vision Engineers.

PEO 2

Apply AI and data science responsibly with attention to bias, fairness and explainability.

PEO 3

Pursue research and advanced studies in AI, data science and applied machine learning.

POs & PSOs

Programme Outcomes (standardised across all engineering disciplines) and Programme-Specific Outcomes (unique to AIDS).

Programme Outcomes (POs)

Engineering Knowledge
Problem Analysis
Design / Development of Solutions
Investigations of Complex Problems
Modern Tool Usage
Engineer & Society
Environment & Sustainability
Ethics
Individual & Team Work
Communication
Project Management & Finance
Life-long Learning

Programme Specific Outcomes (PSOs)

Apply mathematics, programming and ML algorithms to solve real-world AI problems.
Build, deploy and operate machine learning systems on cloud platforms (MLOps).
Apply AI to industry domains ÔÇö healthcare, finance, retail, manufacturing, agriculture.

Faculty & Staff

Anna-University-recognised faculty with strong academic and industry credentials.

D

Dr. R. Vasanthi

Professor & Head

Ph.D. in Artificial Intelligence

vasanthi@annaiengineering.edu.in

Laboratories & Facilities

Specialised labs equipped with industry-standard tools, software licences and faculty supervision.

AI / ML Lab (GPU)

Data Science Lab

Big Data Lab

Computer Vision Lab

NLP Lab

Cloud AI Lab

Visualisation Lab

Project & Innovation Lab

Academic & Co-curricular Activities

Regular events, technical clubs, and industry tie-ups that round out the classroom learning.

Industry guest lectures every month
Student paper presentations and project expos
Inter-college symposiums and hackathons
NPTEL / IEEE / ICTACT certification cohorts
Industrial visits to manufacturing units, software firms and research labs
Final-year capstone project under industry/faculty mentor
Kaggle competitions & hackathons
AWS / Azure / GCP AI certifications
Industry projects with AI partners
Generative AI workshops

Top recruiters for AIDS

AI & Data Science graduates command among the highest entry-level salaries in engineering.

150+Recruiters

18 LPAHighest

5.4 LPAAverage

100%Support

TCSInfosysWiproCognizantAmazonMicrosoftGoogleAdobeOracleSalesforceMu SigmaTiger AnalyticsFractal

FAQs

Common questions from AIDS aspirants and parents.

What's the eligibility for AIDS?

Pass in Class XII (or equivalent) with Mathematics, Physics, Chemistry — minimum 45% aggregate (40% for reserved categories). Admission via TNEA counselling or direct mode.

Is hostel accommodation available?

Yes — separate boys' and girls' hostel blocks on campus with warden supervision, mess, Wi-Fi, and security. Hostel fees billed separately from tuition.

What's the placement scenario for AIDS?

150+ recruiters visit annually, with the highest CTC at 18 LPA and an average of 5.4 LPA. Dedicated placement training begins in the second year — aptitude, technical, mock interviews and resume building included.

Are scholarships available?

Yes — Tamil Nadu Govt scholarships for BC/MBC/SC/ST/Minority categories, Post-matric Central Govt scholarships, plus management merit scholarships for top scorers. Education loans tied up with major banks.

Can I do internships during the course?

Yes — internships are strongly encouraged from the third year. Many students complete summer internships at our partner companies, and the final-year project often involves industry collaboration.

What's the average class size?

We maintain a healthy student-to-faculty ratio (~20:1) to ensure individual attention. Labs are typically split into smaller batches for hands-on practice.