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Department of AI & DS

The Department of Artificial Intelligence and Data Science at Sree Sastha Institute ofEngineering and Technology, established in 2021, is a dynamic and forward-lookingacademic unit dedicated to preparing students for the demands of Industry 4.0. Since itsinception, the department has focused on delivering quality education, fostering innovation, and nurturing technically competent professionals in the fields of AI and data science.

Built on a strong foundation of innovation, ethics, and academic excellence, the departmentoffers an industry-aligned B.Tech. program that bridges the gap between theoretical knowledge and real-world applications. Students are trained in cutting-edge domains such asMachine Learning, Deep Learning, Natural Language Processing, and MLOps.

A Legacy of Innovation & Ethics

28

Years of Excellence

Established in 2021
Machine Learning & A1: Developing advancedalgorithms and intelligent models.
Data Science: Analyzing, interpreting, and visualizing massive unstructured datasets.
Core Applications: Deploying A1 to revolutionize healthcare, finance, smartcities, and IoT.
Degree Programs: Offering rigorous B.Tech/BE programs emphasizing practical, data-driven decision-making.

Foundation & Purpose

Department Overview

Established in 2021, the Department ofArtificial Intelligence and Data Science focuses on developing future-readyprofessionals for Industry 4.0. The program offers an industry-aligned curriculum with emphasis on real-worldAI and data-driven applications.Students gain expertise in Machine Learning, Data Science, NLP, and emergingtechnologies.
The department promotes innovation through research, advanced laboratories, andproject-based learning. Experienced faculty provide strong mentorship and support in academics,research, and career growth.
A structured learning approach with internships and certifications ensuresexcellent career opportunities and industry readiness.

Our Vision

To establish a premierhub of artificialintelligence that transforms theoretical data science into scalable, ethical,and industry-ready technological solutions.

Our Mission

  • Cultivate rigorous mathematical foundations in statistics and linear algebra.
  • Engineer high-performancepractical skills in Python, DeepLearning, and Computer Vision.
  • Forge strategic industry partnerships to bridge the gap between academic research and commercial deployment.

Academic Pathways: Built for Industry 4.0

The Department of Artificial Intelligence and Data Science at Sree Sastha Institute of Engineering and Technology offers a dynamic academic pathway aligned with Industry 4.0. The program builds a strong foundation inmathematics, programming, and data analysis, followed by advanced specialization in areas such as Machine Learning, Deep Learning, and ArtificialIntelligence systems. Students gain hands-on experience through modern laboratories, real-time projects, and industry collaborations. The curriculum isdesigned to effectively bridge the gap between theory and practicalimplementation. Graduates are equipped with the skills required for careers in AI, Data Science, and emerging intelligent technologies.

Gate 1: The Prerequisites

10+2 with Physics,Chemistry, and Mathematics (PCM)Minimum 50-75% aggregate score

Gate 2: The Entrance Gates

Based on
TNEA  Guidelines

Gate 3: The Academic Vehicle

B.Tech in Artificial Intelligence and Data Science. 4 Years / 8 Semesters blending traditional computer science with specific
intelligent systems training.
Featuring an AI-Driven, Industry-Aligned Curriculum built for Industry 4.0 through a flexible Choice-Based Credit System (CBCS).

Industry-Aligned & AI-Driven Curriculum

The Department ofArtificial Intelligence and Data Science offers an industry-aligned, AI-drivencurriculum designed for the future of intelligent technologies. It buildsstrong core fundamentals in mathematics, programming, and data structures,followed by specialized tracks in emerging domains. Students gain expertise inMachine Learning, Deep Learning, Data Science, and AI-driven systems. Thecurriculum is enriched with value-added courses and industry-recognizedcertifications. With a strong focus on real-world applications and hands-onlearning, it ensures graduates are well-prepared for Industry 4.0 careers.
"Choice-Based Credit System (CBCS) creating adaptable problem- solvers for healthcare, agriculture, and industry."
Download Full Syllabus

Dedicated Mentorship. Award-Winning Faculty.

Leadership in Cyber Intelligence
Dr. R. Premkumar (Professor)
Recognized for excellence in Cyber Intelligence & Analytics.
Pioneer Of the 'ChatGPT: A Teaching and Learning Tool
initiative.
Continuous Industry Upskilling
actively participate in cutting-edge National Level
FDPS spanning Python, Cyber Security, Digital Forensics, andA1/ML Software Development Life Cycles.
Expertise in Emerging Tech
Specialized research faculty driving advancements in
global software development and intelligent systems.

The Innovation Engine: 9 State-of-the-Art Specialized Laboratories

The Department of Artificial Intelligence and Data Science is powered by 9 state-of-the-art laboratories that serve as its innovation engine. These advanced facilities enable students to seamlessly transition from theoretical concepts to real-time AI model development and deployment. Labs such as AI & Machine Learning, Data Analytics, Cloud Computing, and IoT provide hands-on experience with modern tools and technologies. The integrated lab ecosystem fosters experimentation, research, and intelligent system design. This strong technical infrastructure ensures students develop practical skills aligned with industry standards and emerging AI technologies.

High-Performance Computing Clusters

Engineered to handlemassive structured andunstructured datasets.

Intel-Based A1 Skill Labs

Industry-partnered environments for hands-on deep learning model training

Applied Domain Labs

Dedicated hardware fordeploying A1 to Healthcare, Finance, and Smart City IoT.

Explore Our Research Facilities

The department’s Advanced AI & Data Science Laboratories and Centres of Excellence provide a strong platform for cutting-edge research and innovation. With dedicated facilities in Artificial Intelligence, Data Analytics, IoT, and Cloud Computing, students gain hands-on experience in emerging technologies. Supported by industry collaborations and expert mentorship, the labs enable real-time project development, model building, and advanced simulations. Backed by DST-FIST funded infrastructure, the ecosystem fosters innovation, prototyping, and interdisciplinary research. These facilities empower students to transform theoretical concepts into impactful, intelligent solutions.

A1 & Machine Learning Lab

Data Analytics Lab

Cloud Computing Lab

IoT & Intelligent Systems Lab

A1 Robotics & Vision Lab

A1 & Smart Systems Lab

The Innovation culture : From Lab to Patent

The department fosters a strong AI-driven innovation culture that transforms ideas into real-world intelligent solutions. Students begin with idea incubation through hackathons, coding challenges, and project proposals, supported by advanced computing resources. Expert faculty mentorship and industry guidance help refine and develop innovative concepts. This structured ecosystem leads to tangible outcomes such as research publications, patents, and startup incubation. With a strong focus on data-driven research and innovation, students are empowered to convert laboratory learning into impactful AI-based technological solutions.

Indust Validation:

Proven innovation attracts
elite corporate internships.

Research Output:

Testing yields published papers andblockchain
/Alpatents.
The ecosystem feeds itself, transforming theoretical students into highly sought-after industry engineers.

Mentorship:

Award-winning faculty guide student curiosity

State-of-the-Art Labs:

Curiosity is tested on indus-
rial-grade high-performance
computing clusters.

Research & Innovation Output: Beyond the Classroom

Innovation & Patents

Innovation & Patents

Enhancing Scalability with Off-Chain DataStorage in Blockchain EcosystemsInventors: Sriman B, Annie Silviya S H

Medical A1 Integration

Applied Neutrosophic Logic

Faculty research evaluating Random
Forest and Deep Convolutional Neural
Networks for dental disease detection.

Global Publications

High-Impact Global Publications

Research spanning Human Mobility
Trajectory Augmentation to Effective Hybrid
Tools for Global Software Development.

Industrial-Grade Facilities & Resources

A1 & Machine Learning Lab

  • Systems: 60 High-performance systems
  • CPU: Intel Core i7
  • RAM: 32GB
  • Storage: 6TB SSD

Data Science Lab

  • Systems: 60 High-performance systems
  • CPU: Intel Core i7
  • RAM: 32GB
  • Storage: 6TB SSD

Cloud Computing Lab

  • Severs: Secure Cloud Servers
  • Hardware: GPU capabilities

A1 Robotics & Vision Lab

  • Specialized: Suites for robotics, NLP & Vision
  • Hardware: NVIDIA RTX GPU setup
  • Stations: 20 high-end workstations

A1 Robotics & Vision Lab

  • Specialized: Suites for robotics, NLP & Vision
  • Hardware: NVIDIA RTX GPU setup
  • Stations: 20 high-end workstations

Cloud Computing Lab

  • Severs: Secure Cloud Servers
  • Storage: GPU capabilities
  • Network: 600 Mbps High-speed

Pioneering Research & Innovation


The department is at the forefront of pioneering research that addresses real-world challenges across diverse domains. Key focus areas include AI-driven healthcare, smart systems, data analytics, and intelligent automation. Students and faculty work on advanced technologies such as deep learning models, natural language processing, computer vision, and cloud-based AI frameworks. The research emphasizes innovation, scalability, and real-world impact across sectors like healthcare, finance, and smart cities. This multidisciplinary approach empowers learners to develop cutting-edge, data-driven solutions for global technological needs.

Mathematical Foundations

  • Statistics
  • Linear Algebra

Advanced Programming

  • Python, R
  • Big Data Analytics

Intelligent Systems

  • Deep Learning
  • Computer Vision
  • NLP
Training students to solve complex real-world problems through data-driven decision-making and automated intelligent systems.

Technical Facilities & Digital Integration

High-Performance Cornputing:

State-of-the-art workstations handlingmassive,
data-driven processing.

Intel-Based A1 Skill Labs:

Direct industry partnerships shaping
hands-on training.

From Campus to Industry Hubs

Our Esteemed Recruiters. Graduates from SSIET arewell-prepared to enter the world's best companies.

100% Mandatory Internships - A1 & Data Science

(Sem 1–2)

Foundations

Core concepts in Matematics, Programming
(Python), Data Structures, and Statistics
for A1 applications.
(Sem 3)

The Catalyst

Mandatory internship activation,
value-added courses. and
hands-on projects in Data Analysis
and basic Machine Learning.
(Sem 4-6)

Application

Hands-on training in Machine
Learning, Deep Learning, NLP,
computer Vision, and Cloud-based
A1 tools.

Industry Immersion

Internships, live projects,and
industry exposurewith leading
companies in A1, Data Science,
and emerging technologies.

The Immersion Mandate

Integrated industry immersion starting from the 3rd semester for all students.
Indian Institute ofTechnology (IITS)
Indian Institute of Science (IISc). Bangalore
IIT Hyderabad (A1 & ML Research)
Centre for Artificial Intelligence & Robotics
(CAIR-DRDO)
TCS Research & Innovation Labs
TCS Research & Innovation Labs
Infosys A1 & Digital Innovation Labs
Wipro A1 Research & Data Science Division
HCL Technologies - A1 & Cloud Division
NASSCOM Centre of Excellence in A1 & IoT
CDAC (Centre for Development
of Advanced Computing)
  • NASSCOM Centre ofExcellence in A1 & IoT
  • CDAC (Centre for Development of Advanced Computing)
  • Microsoft India — A1 & Research Labs
  • Google India - A1 & Data Engineering Teams
  • Amazon (AWS India) — Cloud & A1 Solutions
  • Flipkart Data science & A1 Tearns
  • Zoho A1 Research Labs (ZLabs)

Placement Opportunities

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The Blueprint to Real-World Impact is proven

By aligning state-of-the-art infrastructure with an industry-driven curriculum
and elite mentorship, the Department of Artificial Intelligence and Data Science engineers the technology leaders of tomorrow.

Achievements & Student Life

Students of the Artificial Intelligence and Data Science department consistently achieve recognition in both technical and non-technical domains. They actively participate and win accolades in hackathons, coding competitions, and AI-focused symposiums. Many students secure top ranks in inter-college and national-level events. Their achievements highlight strong skills in innovation, problem-solving, and emerging technologies. These accomplishments reflect the department’s commitment to excellence and holistic development

A Vibrant Ecosystem of Innovation

The Department of Artificial Intelligence and Data Science fosters a vibrant ecosystem of innovation beyond the classroom. Students actively engage in IEEE, IIC, and AI-focused clubs, gaining global exposure and collaboration. Regular hackathons, workshops, and national-level symposiums enhance practical learning.
Hands-on programs enable students to build projects using AI, ML, and Generative AI technologies.
Idea-driven initiatives support the journey from concept to real-world prototype development.
This ecosystem nurtures creativity, technical excellence, and innovation-driven leadership.

Mapping Your Career Trajectory

Empowering SSIET Artificial Intelligence and Data Science graduates with future-ready skills for global careers. Choose from diverse pathways including AI, Data Science, ML Engineering, Cloud, and Innovation. Progress from foundational roles to advanced positions like AI Engineer, Data Scientist, and ML Engineer.
Gain expertise in Deep Learning, NLP, Computer Vision, and Generative AI. Benefit from structured guidance, industry exposure, and hands-on project-based learning. Build a strong career in the rapidly evolving AI and data-driven technology landscape.

Years 1-2: The Bedrock

  • Calculus, Probability,
  • Linear Algebra. Python,
  • Data Structures

Year 3: The Intelligence Engine

  • Machine Learning
  • Deep Learning
  • Big Data Analytics
  • Cloud Computing

Year 4: Industry Readiness

  • MLOps Integration
  • Capstone Projects
  • Industrial Training

Career prospects in Artificial Intelligence and Data Science

Artificial Intelligence and Data Science offer diverse and high-growth career opportunities across industries worldwide. Graduates can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, and Data Analyst. Opportunities also extend to emerging roles like AI Researcher, NLP Engineer, Computer Vision Engineer, and MLOps Engineer. Industries including IT, healthcare, finance, e-commerce, manufacturing, and smart cities actively recruit AI professionals.With advancements in Deep Learning, Big Data, and Generative AI, demand for skilled experts continues to grow rapidly.These career paths provide excellent prospects for innovation, global exposure, and high-paying roles.
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Faculty Expertise and Mentorship

The Department of Artificial Intelligence and Data Science is supported by highly qualified and experienced faculty members.
Faculty actively engage in research, FDPs, and industry-relevant certification programs in AI and emerging technologies.
Their expertise ensures high-quality teaching, innovation, and academic excellence.
They provide strong mentorship in areas such as Machine Learning, Data Science, and AI applications.
Faculty guide students in academics, projects, internships, and research activities.
An Artificial Intelligence and Data Science degree from SSIET is not just a qualification—it is a gateway to high-demand, high-growth, and future-ready careers in the digital and intelligent technology landscape.

Code. Create. Succeed.

Department of Artificial Intelligence and Data Science
Sree Sastha Institute of Engineering and Technology (SSIET)
Chennai-Bangalore Highway,
Chembarambakkam,
Chennai-60012
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