Overview
The Department of Artificial Intelligence and Data Science is a distinctive hub of SCADCET, established in 2024, with the mission of equipping students with advanced technical skills and preparing them to become future-ready AI and Data Science professionals.
The department offers a 4-year B.Tech program in Artificial Intelligence and Data Science. It is supported by well-experienced faculty who guide students to think critically and apply AI and data-driven solutions to real-world challenges. In line with this vision, many faculty members are actively engaged in cutting-edge research and development in areas such as machine learning, deep learning, data analytics, and intelligent systems.
The department boasts well-equipped laboratories, high-performance computing facilities, and a rich repository of AI and data science software. With dedicated and dynamic faculty, supportive management, and motivated students, the department is fully committed to achieving excellence in AI and Data Science education, grounded in ethics and innovation.
Vision
Globally recognized Department of Artificial Intelligence and Data Science advancing excellence in teaching, research, innovation, and developing intelligent solutions for real-world challenges.
Mission
- Provide strong foundation in AI, Data Science, and emerging technologies.
- Develop analytical, computational, and real-world problem-solving skills.
- Promote research, innovation, and hands-on learning through industry projects.
- Foster ethical practices and strengthen industry–academia collaboration.
Duration
4 years (Regular) / 3 Years (Lateral Entry)
No. of Semesters
8 (Regular) / 6 (Lateral Entry)
Intake / No. of Seats
Total – 120 + 12 (Lateral Entry)
Syllabus
Regulation 2021 & 2025
Eligibility
10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.
Scope for Higher Studies
M.E. / M.Tech. / M.B.A.
PEOs | POs | PSOs
Program Educational Objectives
| PEO1: | Graduates will apply strong foundations in Artificial Intelligence, Data Science, mathematics, and computing to build effective solutions for real-world problems. |
| PEO2: | Graduates will pursue higher education, research, and continuous learning to adapt to rapidly evolving technologies. |
| PEO3: | Graduates will demonstrate ethical practices, teamwork, and social responsibility while developing AI-based solutions for societal needs. |
Program Outcomes
| PO1 | Engineering Knowledge: Apply math, science, and engineering fundamentals to complex problems. |
| PO2 | Problem Analysis: Identify and analyze complex problems using research and sustainability principles. |
| PO3 | Design Solutions: Design systems and processes considering health, safety, cost, culture, and environment. |
| PO4 | Investigations: Use experiments, modelling, and data analysis to reach valid conclusions. |
| PO5 | Engineering Tools: Apply modern tools for modelling and problem-solving, recognizing their limits. |
| PO6 | Society & Environment: Assess societal, legal, and environmental impacts of engineering solutions. |
| PO7 | Ethics: Commit to ethics, human values, diversity, and legal compliance. |
| PO8 | Teamwork: Work effectively as an individual and in multidisciplinary teams. |
| PO9 | Communication: Communicate clearly in reports, presentations, and documentation across diverse groups. |
| PO10 | Management & Finance: Apply management and economic principles in projects and teamwork. |
| PO11 | Lifelong Learning: Engage in continuous learning, adapt to new technologies, and think critically. |
Program Specific Outcomes
| PSO1 | Design, develop, and deploy intelligent systems for real-world applications. |
| PSO2 | Utilize modern tools for innovative solutions in the field of AI and Data Science. |
| PSO3 | Demonstrate research aptitude, implement ethical practices and collaborate in multidisciplinary teams. |
Learning Resources
NPTEL Courses of AI&DS
Computer Architecture
DataBase Management Systems
Artificial Intelligence
Java Programming
Object Oriented Analysis and Design
Software Quality Management
Open Source Systems
Career Opportunities
| Role | Fresher | Mid-Level | Senior |
|---|---|---|---|
| Web Developer / Software Developer | ₹3–6 LPA | ₹6–15 LPA | ₹20–40+ |
| Mobile App. Developer | ₹4–8 LPA | ₹10–20 LPA | ₹25–45 |
| Game Developer | ₹3–8 LPA | ₹8–18 LPA | ₹20–40 |
| Data Scientist | ₹6–10 LPA | ₹12–25 LPA | ₹25–50+ |
| Machine Learning Engineer | ₹8–12 LPA | ₹18–30 LPA | ₹30–55 |
| Full Stack Developer / DevOps Engineer | ₹4–8 LPA | ₹12–25 LPA | ₹30–50+ |
| Multimedia Programmer | ₹3–7 LPA | ₹8–18 LPA | ₹20–35 |
| Network Security Engineer | ₹5–10 LPA | ₹12–25 LPA | ₹25–50+ |
| Big Data Engineer | ₹6–12 LPA | ₹15–30 LPA | ₹30–60 |
| Cloud Engineer | ₹6–10 LPA | ₹12–28 LPA | ₹30–55 |
Contact Us
If you any queries, please contact us on the email given below.
- 1ST Floor,Right Wing, MC Block.
- aihod@scadengineering.ac.in