Department of Artificial Intelligence & Data Science (AI & DS)
Delivering strong engineering foundations and industry-ready computing professionals for the global technology landscape.
Department of Artificial Intelligence & Data Science (AI & DS)
The Department of Computer Science and Engineering (Cyber Security) focuses on developing technically competent and ethically responsible engineers capable of addressing modern cybersecurity challenges.
With strong foundations in computing and specialization in security systems, cryptography, and data protection, the department prepares students to meet national and global technological demands.
Real-time projects, industry exposure, and practical learning form the core of the department’s academic approach.
Programmes offered
The era of cognitive thinking instigates in the Department of Artificial Intelligence and Data Science. The programme kicked off from the academic year 2020 – 21 with a vision to build the intellectual capital of the society through research-based education, creating new knowledge and innovations. The Department is accounted for creating the best talents with core specialization in Artificial Intelligence and Data Science. The faculty team is brought together with a well trained, certified and qualified crew of people in the domain of Data Mining and Big Data Analytics, Machine Learning and Data Analytics, Natural Language Processing, Image Processing and Computer Vision. The Department is equipped with adequate facilities with classrooms, laboratories and seminar halls. The Laboratories are with high powered system configuration which are essential for heavy demanding tasks, network with seamless internet connectivity and Wi-Fi facility with the speed of 100 Mbps.
Salient Features of the Department:
- Industry Ready Curriculum
- Project Based Learning
- Personalized Training
- Parental Care and Mentoring
- Well-Equipped Laboratories
- Certified and Qualified Faculty Team
- Opportunities for Co-Curricular and Extra-Curricular Activities
Core Areas of Artificial Intelligence and Data Science:
- Deep Learning
- Machine Learning
- Natural Language Processing
- Data Analysis
- Reinforcement Learning
- Big Data Analytics
- Business Intelligence
Vision:
To provide high-quality education on a global scale, encourage collaborative research, and produce engineers in the fields of Artificial Intelligence and Data Science who are ready to meet the global challenges of corporate world
Mission:
M1: To utilize cutting-edge Technology and creative elements to excel in the Teaching-Learning process and collaborative research
M2: To inculcate an interdisciplinary and coding skill set required to fulfill the needs of the society
M3: To encourage students to become leaders and entrepreneurs who can meet the demands of the community and industry while maintaining high moral standards
This programme is designed to equip students with strong fundamentals, problem-solving skills, industry readiness, and lifelong learning capability
Programme Educational Objectives (PEOs)
Fundamentals:
To impart students with fundamental knowledge in Mathematics, Science and fundamentals of engineering that will mould them to be successful professionals
Core Competence:
To provide students with sound knowledge in engineering and experimental skills to identify complex software problems in industry and to develop practical solutions for them
Breadth:
To provide relevant training and experience to bridge the gap between theory and practice which enables them to find solutions for real time problems in industry and organization, and to design products requiring interdisciplinary skills
Professional Skills:
To bestow students with adequate training and provide opportunities to work as a team that will build up their communication skills, individual leadership and supportive qualities, and to enable them to adapt and work in ever changing technologies
Lifelong Learning:
To develop the ability of students to establish themselves as professionals in Computer Science and Engineering and to create awareness about the need for lifelong learning and pursuing advanced degrees
Programme Outcomes (POs)
On completion of B.E. CSE (Cyber Security) degree, the graduates will be able
- To apply the basic knowledge in Mathematics, Science and Engineering fundamentals in Computer Science and Engineering field
- To design and conduct experiments to analyze and interpret data and apply the same in the career
- To design and develop innovative and creative software applications
- To understand a complex real world problem and develop efficient practical solutions
- To create, select and apply appropriate techniques, resources, modern engineering and IT tools
- To understand their roles as professionals and give the best to society
- To develop a system that will meet expected needs within realistic constraints such as economical, environmental, social, political, ethical, safe and sustainable
- To communicate effectively and make others understand exactly what they are trying to convey in both verbal and written forms
- To work as a team member or a leader and make unique contributions and work with coordination
- To engage in lifelong learning and exhibit their technical skills
- To develop and manage projects in multidisciplinary environments
Programme Specific Outcomes (PSOs)
- To analyze, design and develop computing solutions by applying foundational concepts of Computer Science and Engineering
- To apply software engineering principles and practices for developing quality software for scientific and business applications
- To adapt to emerging Information and Communication Technologies (ICT) to innovate ideas and solutions to existing/novel problems
The curriculum is designed to bridge the gap between theory and industry practice.
Students are trained in:
Programming and Data Structures
Database Management Systems
Networking
Operating Systems
Software Engineering
Emerging Technologies
(Anna University regulation-based curriculum.)
The department is equipped with modern laboratories to provide hands-on experience:
- Computer Programming Laboratory
- Object Oriented Programming Laboratory
- Data Structure Laboratory
- DBMS Laboratory
- Data Science Lab
- Cryptographic & Cyber Security Lab
These labs strengthen practical knowledge and technical confidence.
Department of Artificial Intelligence & Data Science (AI & DS)
| S. No. | Name | Department | Designation |
|---|---|---|---|
| 1 | Dr. Dhinakaran K | AI & DS | Assistant Professor & HoD |
| 2 | Ms. Sivagamidevi G | AI & DS | Assistant Professor |
| 3 | Ms. Varalakshmi P | AI & DS | Assistant Professor |
| 4 | Ms. Selvi R | AI & DS | Assistant Professor |
| 5 | Mr. Sanjai Kumar K | AI & DS | Assistant Professor |
| 6 | Ms. Sai Kiruthika G | AI & DS | Assistant Professor |
| 7 | Ms. Helen Deva Priya V | AI & DS | Assistant Professor |
| 8 | Ms. Mullai J | AI & DS | Assistant Professor |
| 9 | Ms. Kalaimugil B | AI & DS | Assistant Professor |
| 10 | Mr. Sathyanarayanan V | AI & DS | Assistant Professor |
| 11 | Dr. Deepika P | AI & DS | Professor |
| 12 | Mr. Venkatesan M | AI & DS | Assistant Professor |
| 13 | Mr. Ravi S | AI & DS | Assistant Professor |
The department encourages innovation and research in computing domains.
Students are motivated to participate in:
Research projects
Industry collaborations
Technical workshops
Skill development programs
The Placement Cell at DCE works continuously to align student training with evolving industry requirements. Through structured preparation, technical training, and industry interaction, students are guided towards successful career outcomes.
Earn While You Learn Model
DCE has introduced an industry-oriented internship model that enables students to gain real-world experience even before graduation.
Students benefit from:
Paid internships with stipends ranging from ₹10,000 – ₹25,000
Practical exposure to industry projects
Structured training and mentoring support
Smooth transition from internship to full-time employment
This model strengthens both technical competence and workplace readiness.
Career Opportunities
| Software Developer | System Engineer |
| Data Analyst | Full Stack Developer |
| Cloud Engineer | Cyber Security Analyst |
The programme prepares students for opportunities in both core industries and emerging technology domains, equipping them with the skills required to adapt and grow in dynamic professional environments.
Start Your Journey in
Computer Science at DCE
Take the first step towards a successful engineering career with strong academic foundations, industry exposure, and structured placement support.