ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

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The B.Tech in Artificial Intelligence and Data Science is a four-year undergraduate programme divided into eight semesters. Established in 2020 with an intake of 60 students, this department blends core Computer Science fundamentals with advanced expertise in Artificial Intelligence and Data Science, preparing students for the future of intelligent technologies.

About Department

Gain Valuable Knowledge & Experience

Academic Excellence

The curriculum provides a solid foundation in Computer Science while focusing on specialized areas such as Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Data Science.

State-of-the-Art Facilities

The department is equipped with: Advanced laboratories with high-performance computing systems A dedicated computer center with 100+ licensed systems Tools and platforms for AI, ML, Robotics, and Data Science research

Expert Faculty

Led by experienced professors, researchers, and industry practitioners, the faculty emphasizes innovative teaching methods and mentorship, fostering technical expertise, problem-solving abilities, and research excellence.

Practical Learning

Students gain hands-on exposure through: Real-world projects and research collaborations Workshops, hackathons, and training programs in AI, ML, and Data Analytics

Career Outcomes

Graduates are prepared for dynamic careers in: Artificial Intelligence and Machine Learning Data Science and Big Data Analytics Robotics and Computer Vision

Department Leadership

Meet our Head of Department

Dr. D. Shanthi

Professor & Head, Department of AI & DS

Qualification: Postdoctoral Research (USA), Ph.D. in CSE, M.Tech CSE, B.Tech CSE, PG Diploma in AI & ML (NITW), M.Sc. (Psychology) (AU), UGC-NET (2024)

Experience: 18 years in Academia and Research

Specialization: Software Engineering, Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, and Biometrics

Completed Postdoctoral Research at California Public University, USA
Ph.D. in Computer Science from JNTU Hyderabad (2020)
PG Diploma in AI & ML from NITW with a CGPA of 3.66
Qualified UGC-NET (2024) in Computer Science
Published 16 Patents (10 National and 6 International), including one MSME-funded worth ₹15 lakhs
Holds 3 Copyrights (2 National, 1 International)
Authored 45 research papers in reputed journals such as IEEE, Springer, and Inderscience
Guided Ph.D. scholars from CDU and Lincoln University College (Malaysia), with one successfully awarded a Ph.D.

Message from HOD

Welcome to the Department of Artificial Intelligence and Data Science. Our vision is to blend academic rigor with innovative research, equipping students with advanced skills in AI, Machine Learning, and Data Science. We aim to nurture future-ready professionals capable of addressing real-world challenges with creativity, ethics, and technical expertise, while fostering a strong research culture and global collaborations.

We Are Open For Opportunities!

At Vignan University, we welcome collaboration, innovation, and fresh perspectives. Whether you’re a student, researcher, or industry expert — there’s a place for you to grow and contribute.

Vignan university

We Are One Of The Largest University

Vignan University stands as one of the most prominent institutions, committed to academic excellence, innovation, and holistic student development. Our focus on practical learning and real-world application ensures graduates are prepared for success.

Graduate On Time

78%

Student Skill Development

89%

Student Projects

97%

Quality Of Lecturers

87%

Our Vision & Mission

At Vignan University, our vision is to be a global leader in education and research, nurturing future-ready professionals.

The Department of Artificial Intelligence and Data Science aims to be a leading center of excellence that provides cutting-edge education, fosters innovation, and drives impactful research in AI and Data Science. The department envisions preparing graduates to become globally competitive professionals, researchers, and entrepreneurs who can contribute to solving real-world challenges and advancing technology.

The mission of the Department of AI & DS is to deliver comprehensive education and hands-on training in the principles, tools, and applications of Artificial Intelligence and Data Science, thereby equipping students for diverse career paths and research opportunities. The department is committed to conducting pioneering research in AI and Data Science, focusing on the development of advanced algorithms, models, and platforms in data analysis, machine learning, and deep learning. Additionally, it seeks to foster strong collaborations and partnerships with industry, government, and academia to encourage technology transfer, innovation, and entrepreneurship.

Our Journey of Excellence

The Department of Computer Science and Engineering (Data Science) at VMTW was established with a vision to create data-driven innovators and researchers who can leverage emerging technologies to solve complex problems and drive societal progress.

2021

Department of CSE (Data Science) established with an initial intake of 60 students.

Facilities

State-of-the-art laboratories, 100+ high-performance systems, modern classrooms, licensed software, and advanced computing resources.

Curriculum

Data Science, Big Data Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Cybersecurity, Blockchain, and more.

Leadership

Led by Dr. M. Vishnu Vardhana Rao, the department excels in research, patents, publications, and academic innovation, shaping future-ready professionals.

Acadamic Calendar

Syllabus

Supporting Staff

News Letters

Acadamic Calendar

ACADEMIC CALENDAR --- 2022-23

syllabus

R22 B-Tech AI & DS Syllabus

Supporting Staff

S.No	Name of the Employee	Designation	Qualification
1	Ms. R. Shivarani	Programmer	B Tech
2	Mr. Ch. Bhardwaj	Programmer	B Tech
3	Mr. M. Swaroop Reddy	Programmer	B Tech
4	Mrs. K. Varshitha	Programmer	B Tech
5	Ms. Swetha Reddy	Programmer	B Tech

News Letters

S. No	News Letter Volume	Action
1	CSE News Letter – Volume 23	View / Download
2	CSE News Letter – Volume 22	View / Download
3	CSE News Letter – Volume 21	View / Download
4	CSE News Letter – Volume 20	View / Download
5	CSE News Letter – Volume 19	View / Download
6	CSE News Letter – Volume 18	View / Download
7	CSE News Letter – Volume 17	View / Download
8	CSE News Letter – Volume 16	View / Download
9	CSE News Letter – Volume 15	View / Download
10	CSE News Letter – Volume 14	View / Download
11	CSE News Letter – Volume 13	View / Download
12	CSE News Letter – Volume 12	View / Download
13	CSE News Letter – Volume 11	View / Download
14	CSE News Letter – Volume 10	View / Download
15	CSE News Letter – Volume 9	View / Download
16	CSE News Letter – Volume 8	View / Download
17	CSE News Letter – Volume 7	View / Download
18	CSE News Letter – Volume 6	View / Download
19	CSE News Letter – Volume 5	View / Download
20	CSE News Letter – Volume 4	View / Download
21	CSE News Letter – Volume 3	View / Download
22	CSE News Letter – Volume 2	View / Download
23	CSE News Letter – Volume 1	View / Download

Educational Framework

Our comprehensive educational approach designed to create industry-ready professionals

PEO1

To demonstrate technical excellence in Artificial Intelligence and Data Science by applying their knowledge and skills to develop and implement advanced algorithms, models, and platforms for data analysis, machine learning, and deep learning.

PEO2

To acquire continuous learning and professional development to stay abreast of the latest developments in Artificial Intelligence and Data Science and related fields, and to advance their careers.

PEO3

To exhibit professionalism and leadership skills by upholding high ethical standards and contributing to the development and dissemination of best practices in Artificial Intelligence and Data Science.

Program Outcomes (PO)

Comprehensive learning outcomes that our graduates will demonstrate

Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems

Additional Outcomes

Our program encompasses all 12 standard ABET program outcomes including problem analysis, design/development of solutions, modern tool usage, individual and team work, communication, project management, lifelong learning, and more.

PSO1

Ability to develop and implement data-driven models, algorithms, and visualization techniques using state-of-the-art tools and platforms for Artificial Intelligence and Data Science to solve real-world problems in diverse domains.

PSO2

Ability to advanced techniques such as machine learning, deep learning, and natural language processing to design and develop intelligent systems that can learn from data and adapt to changing environments.

PSO3

Collaborate effectively in interdisciplinary teams to design, develop, and deploy Artificial Intelligence and Data Science solutions that meet business, social, and scientific requirements. Conduct independent research in Artificial Intelligence and Data Science, and contribute to the development of new techniques, algorithms, and systems for the field.

Department Achievements

6+

National & International Awards Won by Faculty

3

Award-Winning Professors

2021–2024

Recognitions in Research, Innovation, and Academic Excellence

Our Experienced Instructors

Our team of seasoned instructors brings years of expertise, passion for teaching, and real-world experience.

Assistant Professor

Mr M Chandra Shekar

M-Tech

Assistant Professor

Mr D Raju

M-Tech

Assistant Professor

Mrs K Kusuma Kumari

M-Tech

Assistant Professor

Mrs K Sandhya Rani

M-Tech

Assistant Professor

Mrs N Bhanu Priya

M-Tech

Assistant Professor

Mrs A Mounica

M-Tech

Department Sections

Our department offers diverse and specialized sections, each crafted to provide in-depth knowledge and practical expertise in Artificial Intelligence, Data Science, and their real-world applications.

Research

Focusing on innovation and excellence in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Generative AI.

Faculty Participation

Faculty members contribute actively by publishing in reputed journals, filing patents, presenting at international conferences, and developing AI-driven curriculum modules.

Innovations in Teaching

Implementing modern pedagogical methods such as project-based learning, flipped classrooms, AI-powered tools, and real-world case studies to strengthen problem-solving skills.

Professional Societies

Engaging with professional bodies like IEEE, CSI, ISTE, and IEI to foster collaborations, research opportunities, and professional growth for faculty and students.

Student Participations

Encouraging active student involvement in hackathons, AI-based competitions, research projects, coding contests, technical symposiums, and industry-driven workshops.

Student Counsellors

Providing continuous academic, research, and career guidance with personalized mentoring to shape well-rounded AI & DS professionals.

Department Labs

Data Processing Lab

Data Analytics Lab

Data Science Lab

Classroom

Seminar Hall

Recent &
Upcoming Events

Stay updated on the latest events and activities happening in our department. From workshops and seminars to guest lectures and industry visits, there’s always something exciting on the horizon.

Creative Carnival 2026

24 July, 2025

9:00 am

7:00 pm

Hyderabad

Vigyan Vaibhav 2026

26 July, 2025

9:00 am

2:00 pm

Hyderabad

Sports Day 2026

8 August, 2025

9:00 am

4:00 pm

Hyderabad