COMPUTER SCIENCE AND ENGINEERING (DATA SCIENCE)

The B.Tech in Computer Science and Engineering (Data Science) is a four-year undergraduate programme divided into eight semesters. Established in 2021 with an intake of 60 students, this emerging department integrates core Computer Science principles with specialized expertise in Data Science.

About Department

Gain Valuable Knowledge & Experience

Academic Excellence

The curriculum builds a strong foundation in Computer Science while focusing on specialized areas Data Analysis, Machine Learning, Data Engineering,Business Analytics

State-of-the-Art Facilities

The department is equipped with: Modern laboratories featuring advanced hardware and software A dedicated computer center with 100+ licensed systems Tools and platforms for data analytics, AI, and big data technologies

Expert Faculty

A team of experienced professors, researchers, and industry practitioners provide innovative teaching and personalized guidance in Data Science, fostering both technical expertise and business acumen.

Practical Learning

Students gain real-world experience through hands-on projects, workshops in data visualization, analytics and AI, and industry collaborations.

Career Outcomes

Graduates are prepared for careers in data science, AI & machine learning, software and data engineering, business intelligence, research, and tech-driven organizations.

Department Leadership

Meet our Head of Department

vishnu

Dr. M. Vishnu Vardhana Rao

Professor & Head, Department of CSE (Data Science)

Qualification: Ph.D. in CSE, M.Tech CSE, B.Tech CSE, UGC-NET (2018), AP-SET (2017)

Experience: 14 years in Academia and Research

Specialization: Optimized Hybrid Machine Learning Techniques, Data Mining, Cryptography, Blockchain, Artificial Intelligence, Python Programming

  • Ph.D. in CSE from Acharya Nagarjuna University (2021)
  • M.Tech in CSE from University College of Sciences, Acharya Nagarjuna University
  • B.Tech in CSE from AMIE (Institution of Engineers [India])
  • Qualified UGC-NET (2018) & AP-SET (2017) in Computer Science & Applications
  • Appointed Academic Counsellor at IGNOU, Aurora Degree College Study Center (0111)
  • Published 24 International Journal papers (3-SCI, 12-SCOPUS, 9-UGC)
  • Published 6 International Conference papers (IEEE, Springer, etc.)
  • Authored 4 National Patents, 1 Book, and 6 Book Chapters
  • Guided over 59 B.Tech Graduates from Vignan’s Group Institutions, Hyderabad
  • Completed certifications from Coursera, AICTE, NPTEL, and international institutions in Deep Learning, Cryptography, Blockchain, and Python
  • Life Member of LM-ISTE (LM 101851), IEI (AM1742151), IAENG (186054), SDIWC (30606)

Message from HOD

Welcome to the Department of CSE (Data Science). Our mission is to advance innovation and research in emerging fields such as AI, Machine Learning, and Data Science, while equipping students with the knowledge and practical expertise to thrive in the ever-evolving tech industry. We are dedicated to fostering a research-oriented culture and producing skilled professionals capable of making meaningful contributions to society.

We Are Open For Opportunities!

At Vignan’s 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's university

Vignan's Institute of Management & Technology for Women

Vignan’s 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 CSE (Data Science) envisions becoming a center of excellence in data-driven technologies, artificial intelligence, and advanced computing by fostering innovation, research, and entrepreneurship. Our goal is to produce globally competent professionals equipped with strong analytical, technical, and problem-solving skills to address real-world challenges and contribute to societal growth.

The mission of the Department of CSE (Data Science) is to provide a transformative education in computer science with a strong focus on data science, machine learning, and emerging technologies. We strive to create a dynamic learning environment that encourages innovation, interdisciplinary research, and collaboration with industry. By integrating theory with practical experience, we aim to nurture ethical leaders, critical thinkers, and innovators capable of leveraging data-driven solutions to improve lives and shape the future of technology.

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

Supporting Staff

S No Name of the Employee Designation Qualification
01 Gaddam.Nikitha Programmer B. Tech (M.Tech)

News Letters

S. NoNews Letter VolumeAction
1CSE News Letter – Volume 23View / Download
2CSE News Letter – Volume 22View / Download
3CSE News Letter – Volume 21View / Download
4CSE News Letter – Volume 20View / Download
5CSE News Letter – Volume 19View / Download
6CSE News Letter – Volume 18View / Download
7CSE News Letter – Volume 17View / Download
8CSE News Letter – Volume 16View / Download
9CSE News Letter – Volume 15View / Download
10CSE News Letter – Volume 14View / Download
11CSE News Letter – Volume 13View / Download
12CSE News Letter – Volume 12View / Download
13CSE News Letter – Volume 11View / Download
14CSE News Letter – Volume 10View / Download
15CSE News Letter – Volume 9View / Download
16CSE News Letter – Volume 8View / Download
17CSE News Letter – Volume 7View / Download
18CSE News Letter – Volume 6View / Download
19CSE News Letter – Volume 5View / Download
20CSE News Letter – Volume 4View / Download
21CSE News Letter – Volume 3View / Download
22CSE News Letter – Volume 2View / Download
23CSE News Letter – Volume 1View / Download

Educational Framework

Our comprehensive educational approach designed to create industry-ready professionals

PEO1

Students will establish a strong foundation in computer science by applying mathematical principles and core engineering fundamentals to analyze, design, and develop effective computing solutions.

PEO2

Students will use modern tools, platforms, and technologies supported by a strong learning infrastructure to solve computing problems and adapt to technological changes.

PEO3

Students will prepare for careers and entrepreneurship by developing employability skills, professional competence, ethical values, and social responsibility to meet industry and societal needs.

Program Outcomes (PO)

Comprehensive learning outcomes that our graduates will demonstrate

PO1

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

PO2

Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and Engineering sciences.

PO3

Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health safety, and the cultural, societal, and environmental considerations.

PO4

Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions

PO5

Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6

The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7

Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of,and need for sustainable development.

PO8

Ethics: : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.

PO10

Project Management and Finance: Demonstrate knowledge and understanding of the engineering management principles and apply these to one's own work, as a member and leader in a team to manage projects and in multidisciplinary environments.

PO11

Life-Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

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

Apply mathematical foundations, basic sciences, and core engineering principles in a multidisciplinary manner to analyse and solve complex computer science and engineering problems.

PSO2

Develop solutions to real-world computing problems using modern tools, diverse programming languages, and open-source platforms.

PSO3

Apply ethical principles and consider societal impact and Sustainable Development Goals while developing and using computing solutions.

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.

Department Sections

Our department offers a wide range of specialized sections, each designed to provide in-depth knowledge and practical skills in key areas of study.

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

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