Artificial Intelligence and Data Science
The Department of Artificial Intelligence and Data Science equips students with skills in data analytics, machine learning, and intelligent systems to meet the demands of a data-driven industry.
Academic Toppers
GANAPATHI RITHIKA
NIDHI TIWARI S
SUJATHA T
LOKESH R
BANDI SATHWIKA
About us
The Department of Artificial Intelligence and Data Science (AI&DS) was established in 2022 at T.J.S. Engineering College with the vision of preparing students to meet the growing demands of the technology-driven world.
The department offers a B.Tech. programme in Artificial Intelligence and Data Science with an annual intake of 60 students. With a current strength of 215 students and 10 dedicated faculty members, the department provides a supportive academic environment that encourages innovation, technical excellence, and continuous learning.
The department focuses on developing strong knowledge and practical skills in Artificial Intelligence, Data Science, Machine Learning, Data Analytics, Programming, and emerging technologies. Students are encouraged to apply their knowledge through practical sessions, projects, internships, certifications, hackathons, and technical activities.
The department has an AI&DS Computer Laboratory that supports hands-on learning and practical experimentation. Students are also encouraged to participate in inter-collegiate technical events, competitions, symposiums, and hackathons, where they have earned awards and recognition.
The department is committed to providing students with the technical knowledge, problem-solving abilities, and professional skills required to pursue careers and higher studies in the rapidly evolving fields of Artificial Intelligence and Data Science.
Vision and Mission
Vision
To foster excellence in the realm of Artificial Intelligence and Data Science the department is committed to nurture visionary, ethical, and socially responsible engineering graduates equipped with knowledge and skills to address academic and industrial needs for the betterment of the society.
Mission
- To impart quality education in Data Science through innovative and industry-oriented learning.
- To develop technical, analytical, and problem-solving skills to address real-world challenges
- To promote research, innovation, and entrepreneurship through interdisciplinary collaboration.
- To foster ethical values, social responsibility, and lifelong learning for global professional excellence.
HOD's Desk
Magazine
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Faculty
Mr. Senthil P
Assistant Professor
AICTE ID: 1-454152323 AU-FIN: 2675201984
Mrs. Jayavani R
Assistant Professor
AICTE ID: 1-44015123476 AU-FIN: 2644751988
Mrs. Pavithra P
Assistant Professor
AICTE ID: 1-43380693999 AU-FIN: 2622111993
Mrs. Rekha M
Assistant Professor
AICTE ID: 1-43385237543 AU-FIN: 2626901991
Mrs. Suruthi A E
Assistant Professor
AICTE ID: 1-7516554375 AU-FIN: 2699711991
Dr. Thappeta Praveen Kumar Reddy
Assistant Professor
AICTE ID: 1-44728426671 AU-FIN: 2622651982
Mrs. Yamini Devi P
Assistant Professor
AICTE ID: 1-47692349672 AU-FIN: 2622691985
Mrs. Jayalakshmi A
Assistant Professor
AICTE ID: 1-11300688254 AU-FIN: 2699891992
Ms. Ashwini K M
Assistant Professor
AICTE ID: 1-47948631962 AU-FIN: 2797622000
Non-Teaching
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Programme Offered
Program Educational Objectives (PEOs)
1. Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
2. Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
3. Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
4. Design and model AI based solutions to critical problem domains in the real world.
5. Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
Program Outcomes (POs)
Engineering Knowledge
Apply math, science, and engineering fundamentals to complex problems.
Problem Analysis
Identify and analyze complex problems using research and sustainability principles.
Design Solutions
Design systems and processes considering health, safety, cost, culture, and environment.
Investigations
Use experiments, modelling, and data analysis to reach valid conclusions.
Engineering Tools
Apply modern tools for modelling and problem-solving, recognizing their limits.
Society & Environment
Assess societal, legal, and environmental impacts of engineering solutions.
Ethics
Commit to ethics, human values, diversity, and legal compliance.
Teamwork
Work effectively as an individual and in multidisciplinary teams.
Communication
Communicate clearly in reports, presentations, and documentation across diverse groups.
Management & Finance
Apply management and economic principles in projects and teamwork.
Lifelong Learning
Engage in continuous learning, adapt to new technologies, and think critically.
Program Specific Outcomes (PSOs)
1. Design, develop, and deploy intelligent systems for real-world applications.
2. Utilize modern tools for innovative solutions in the field of AI and Data Science.
3. Demonstrate research aptitude, implement ethical practices and collaborate in multidisciplinary teams.
BOS
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Regulation & Curriculum
MOU's
The Department of Artificial Intelligence and Data Science has signed a Memorandum of Understanding (MoU) with VEI Technologies to strengthen industry–academia collaboration and bridge the gap between academic learning and real-world applications. The MoU provides opportunities for students and faculty through internships, industry training, skill development, faculty development, consultancy, and collaborative research in emerging areas of Artificial Intelligence, Data Science, and related technologies.
Industry Visits
Industry Visits 2026
Classroom learning with industry applications
The department organizes industrial visits to provide students with practical exposure to real-world technologies, industry practices, and professional work environments. These visits help students connect classroom learning with industry applications and gain valuable insights into emerging technologies and career opportunities.
On February 26, 2026, the 2nd and 3rd-year students of the AI&DS department participated in an insightful industrial visit to WHY Global Services with the co-ordination of following faculties,
- Mrs.R.Jayavani – AP/AI&DS
- Mrs.B.Seethalakshmi – AP/AI&DS
- Mrs.P.Pavithra – AP/AI&DS
- Mr.V.Vishnu – LI/AI&DS
Internship
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Publication
Patent
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Books & Chapters
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Department Laboratories
About the Laboratory
The AI&DS Computer Laboratory provides a practical learning environment for programming, data analysis, Artificial Intelligence, Machine Learning, project development, and experimentation with emerging technologies. The laboratory supports students in translating theoretical concepts into practical solutions through guided exercises, mini projects, course projects, and technical activities.
Conference
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Guest Lecturer, FDP & Workshop
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Value Added Course
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Symposium
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Seminars & Activities
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Major Recruiters
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Placed Students
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Faculty Achievements
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Students Achievements
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Co-Curricular
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Extra-Curricular
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Gallery
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Alumni Interactions
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Distinguished Alumni
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Entrepreneurship
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