Dr. T. N. AnithaProfessor & HOD
The Computer Science and Engineering (CSE) with a specialization in Data Science is a forward-looking undergraduate program designed to meet the growing demand for data-driven decision-making in industry, research, and innovation. This interdisciplinary program integrates the foundational concepts of computer science and engineering with advanced statistical analysis and data science techniques to derive actionable insights from large and complex datasets.
As the world becomes increasingly data-centric, this program equips students with the knowledge and practical skills required to solve real-world problems using data. From building intelligent systems to uncovering patterns in data, students learn to design and implement computational solutions that drive innovation across industries.
Key Components of the Program:
- Core Computer Science & Engineering Fundamentals: Programming, data structures, algorithms, operating systems, database management, and computer networks.
- Mathematics and Statistics: Linear algebra, probability, statistical inference, and optimization techniques that form the foundation of data science.
- Machine Learning and Artificial Intelligence: Supervised and unsupervised learning, neural networks, deep learning, and AI-driven predictive modeling.
- Big Data and Cloud Technologies: Tools and platforms for handling high-volume, high-velocity, and high-variety data, including Hadoop, Spark, and cloud-based systems.
- Data Visualization and Analytics: Techniques to transform data into interactive visual narratives using modern visualization tools and dashboards.
Career Prospects
Graduates of this program are well-positioned to pursue careers in high-demand roles such as:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- AI Solutions Architect
- Big Data Analyst
With data science being a crucial driver across domains including healthcare, finance, e-commerce, social media, and cybersecurity, this program opens up vast and dynamic career opportunities both in India and globally.
This specialization is ideal for students who are curious about data, passionate about technology, and eager to create impact through innovation. The program nurtures analytical thinking, programming expertise, and research skills, preparing students to become industry-ready professionals and future technology leaders.
Vision
To become a center of excellence in Data Science, fostering innovation, research, and data driven solutions that creates responsible citizens with ethical values to address real world challenges.
Mission
M1: Providing strong foundational knowledge of mathematics, science, and computational approaches on solving theoretical and practical problems using Data Science.
M2: Empowering the students with technical, analytical, and problem-solving skills that meet industry and societal needs by collaborating with industry, academia and research organizations.
M3: To Foster Interdisciplinary research and entrepreneurship to transform students into technically competent in the field of data science.
M4: To cultivate professional ethics, leadership qualities, effective communication, teamwork, and lifelong learning, enabling graduates to become responsible citizens and adapt to evolving technologies.
M5: To promote innovation, sustainable development, and socially impactful data-driven solutions through experiential learning, research, and community engagement for addressing real-world challenges.
Program Educational Outcomes
PEO1: Graduates will apply knowledge of data science, mathematics, statistics, and computer science to solve real-world problems in industry, research, and entrepreneurship.
PEO2: Graduates will demonstrate ethical practices, data privacy awareness, and social responsibility while developing and deploying data-driven solutions.
PEO3: Graduates will build successful careers in data science and related fields by adapting to emerging technologies and pursuing higher education or professional certifications.
Program Specific Outcomes:
PSO1: Apply fundamental knowledge of Data Analytics Techniques to analyze, and visualize data using modern tools and techniques to solve real-world problems.
PSO2: To develop innovative data-driven solutions to seek lifelong learning in emerging areas of data science.
Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. This knowledge is applied in making various intelligent decisions in business applications. Data Science focuses on collecting, categorizing, strategizing, analysing and interpreting data. It is a specialized branch that deals with the development of data-driven solutions, data visualization tools and techniques to analyse big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems. Data Science is the current trend, ruling the business world and it is highly paid career now.
Data Science Course covers key concepts like Predictive Analytics using Data Visualization, Big Data Analytics, Natural Language Processing, Artificial Neural Network, Augmented Reality & Virtual Reality, Cognitive Computing, Deep Learning, Robotic Process Automation. Through this course, the students will gain cross-disciplinary skills across fields such as statistics, Computer science, Machine learning, and logic, Data scientists will have career opportunities with exceptional prospective fields and challenging roles in a futuristic industry in the arena of Healthcare, Business, E-Commerce, Social Networking companies, Climatology, Biotechnology, Genetics, and other important areas. The 4-year BE in Data Science program presents exposure to hands-on technologies to create applications and solutions.
Data Science are amongst the hottest fields of the 21st century that will impact all segments of daily life like from transport and logistics to healthcare and customer service. Immense employment opportunities are available for Data Science engineers & have significantly increased worldwide in the past couple of years, with demand easily outstripping supply in the field of Data Analyst, Product Analyst, Big Data Engineer, BI Analyst, Data Scientist, Data Journalist, Chief Strategy & Analytics Officer, Strategic Data Analytics Analyst, Data Architect Data Visualizers TDM Architect, etc.
- PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
- PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
- PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
- PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
- PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
- PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Our first and Second year CSE (Data Science) students showcased innovative mini projects addressing real-world challenges through IoT, automation, smart systems, and embedded technologies. The exhibition highlighted students' creativity, technical skills, and problem-solving abilities while fostering innovation and collaborative learning. A proud platform where young engineers transformed ideas into impactful working prototypes.
Participated in women’s basketball VTU Intercollegiate Tournaments and State-Level Championships 2025
Students of Data science got 1st place in women’s basketball interdepartmental Tournament
Journal Publication Suhas G. K, “BioXAI-HeartNet: An Explainable and Adversarially Robust Deep Learning Framework for Reliable Heart Disease Prediction,” Ingénierie des Systèmes d’Information, International Information and Engineering Technology Association (IIETA), Scopus Q3, SCI Indexed, accepted for publication. Book Chapter Suhas G. K, “A Comprehensive Study on the Performance and Security of Post Quantum Cryptography (PQC) Compared to Classical RSA Algorithm,” in Web Intelligence and Human-Machine Interaction. Cham, Switzerland: Springer Nature, Scopus Indexed, accepted for publication. Conference Publications Suhas G. K, “Integrating Lexical and Contextual Representations for Robust Email Spam Detection: A Hybrid NLP Framework,” in Proc. Int. Conf. on Emerging Quantum Computing and IoT Technologies for Intelligent Security (ICEQCIIS 2026), 2026, presented and accepted for publication. Suhas G. K, “A Review on Mixed Reality-Based Simulator for Drone Pilot Training,” in Proc. LGPR Conference, Lincoln University, Malaysia, 2026, presented and accepted for publication.
Suhas G.K.,“A Survey on Mixed Reality-Based Simulator for Drone Pilot Training,” in Proc. LGPR Conference, Lincoln University, Malaysia, 2026, presented and accepted for publication.
Patent
N. K. M and S. G. K, “IoT-Enabled Autonomous Hybrid Electromechanical System for Real-Time Structural Health Monitoring,” Indian Patent Application No. 202641042127, published.Teaching Staff
| Name | Designation | Qualification |
| Dr. T.N. Anitha | Professor & HOD | Ph.D. |
| Dr. Suhas G.K | Professor | B.E., M.Tech., Ph.D. |
| Mr. Shreyas Sridhar | Assistant professor | B.E., M.Tech |
| Mr. Nataraja P R | Assistant professor | B.E., M.Tech |
The students of the Data Science Department secured First Place in the Women's Interdepartmental Basketball Tournament.
The students participated in the VTU Intercollegiate Women's Basketball Tournament and the State-Level Women's Basketball Championship in 2025.
SAP HANA Faculty Training Programme Successfully Conducted at Sir MVIT
The department successfully organized a 5-day SAP HANA Faculty Training Programme (Train the Trainer Model) from 20th to 24th July 2026 in association with SAP University Alliances.
The department, in collaboration with the Youth4Nation Foundation and BharatWHYTEC Foundation, successfully organized a workshop on "National Security for Viksit Bharat 2047.
- Dr . T N Anitha & Hajeera , “ A comprehensive review of recent advances for detection of Covid-19 andPnneumonia for chest X Rays using Deep Learning” published in Journal of Information Technology, Cybersecurity and Artificial Inteligence, 2026. Scopus indexed .
- Suhas G. K et al., “BioXAI-HeartNet: An Explainable and Adversarially Robust Deep Learning Framework for Reliable Heart Disease Prediction,” Ingénierie des Systèmes d’Information, IIETA, Scopus (Q3), SCI Indexed.
- Suhas G. K et al., “A Comprehensive Study on the Performance and Security of Post Quantum Cryptography (PQC) Compared to Classical RSA Algorithm,” in Web Intelligence and Human-Machine Interaction. Springer Nature, Scopus Indexed.
- Dr T N Anitha & Poornima ,”An Efficient Internet Of Things Based Intrusion Detection And Optimization Algorithm For Smart Networks “.International Journal of Computing and Digital System 2025, VOL. 17, NO. 1, 1–12 http://dx.doi.org/10.12785/ijcds/1571001227,
- Dr T N Anitha et “An Innovative IoT Framework using Machine Learning for Predicting Information Loss at the Data Link Layer in Smart Networks”. O2 Journal. Volume: 15 | Issue: 2 | Pages: 20904-20911 | April 2025 | https://doi.org/10.48084/etasr.9597
- Suhas, G.K.,” Federated Learning and NLP Integration in IOT for privacy preserving Smart Environments” , Journal Européen des Systèmes Automatisés, Vol. 58, No. 5, May, 2025, https://doi.org/10.18280/jesa.580509 (SCI, Q2, SCOPUS)
- S Thippamma, Suhas G K, “Data Migration Approach under Secure Cloud Storage” in First International Conference on Emerging Technologies in Science and Engineering (ICETSE – 2024) Indexing in SCOPUS, AIT, TUMKUR hold on 26th and 27th of June 2024.
- Charan S N, Suhas G K “A Music Recommendation System based on Emotions” 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024,2, pp. 5988-5994
- Nataraja P R published a paper entitled,” CAR BLACK BOX ”, IRJMETS December 2025, Volume 07, Issue 12 www. irjmets.org (e_ISSN-2582-5208), Internatinal journal of Modernization in Engineering Technology and Science.
- Nataraja P R published a paper entitled,” UNDERGROUND CABLE FAULT DETECTION USING GPS, WIFI MODULE”, IRJMETS March 2025, Volume 07, Issue 03 www. irjmets.org (e_ISSN-2582-5208), International journal of Modernization in Engineering Technology and Science.
- T.N Anitha, Ambika “Multi-Factor Lightweight Key Agreement Protocol for Data Confidentiality and Integrity in IoT Environment N. Shashikala1* International Journal Of Intelligent Engineering & Systems http://inass.org Keywords: Internet of things (IoT), DOI: 10.22266/ijies2024.0831.36 .
- Dr T N Anitha & Shashikala et al.,”A trust based secure access control using authentication mechanism for interoperability in internet of things “ International Journal of Electrical and Computer Engineering (IJECE) 2262 Vol. 14, No. 2, April 2024, pp. 2262~2273 ISSN:2088-8708, DOI: 10.11591/ijece.v14i2.pp2262-2273
- Suhas, G.K., Charan, S.N.,” Job Recommendation System: Content-Based and Collaborative Filtering for Predictive Job Recommendation Systems”, Journal of Information Systems Engineering and Management,10(2), pp. 453-459 (Q4, SCOPUS)
- Suhas, G.K., Keerthishree, P.V.,” An Overview of Vision Transformers and Deep Learning Methods for Classifying Remote Sensing Images”, Journal of Information Systems Engineering and Management, 10(2), pp. 460-467(Q4, SCOPUS)
- Dr T N Anithapublished book,” INTRODUCTION TO ARTIFICIAL INTELLIGENCE UNDER THE EDITORIAL BOARD OF SCIENTIFIC INTERNATIONAL PUBLISHING HOUSE”, (SIPH) with in the year of September 2022, ISBN No: 978-93-5625-507-4
- Dr. Suma Swamy published book,” DESIGN AND ANALYSIS OF ALGORITHMS 4TH SEMESTER B.E CSE/ISE”, 978-620-6-16455-5, Published on 2023-05-24 Publishing house LAP LAMBERT Academic Publishing Number of pages 436, 978-620-6-16455-5, May 2023
- Dr T N Anithapublished book,” INTRODUCTION TO CYBER FORENSICS INTERNATIONAL PUBLISHING HOUSE”, (SIPH), ISBN No: 978-93-5757-549-2
- Dr T N Anithapublished book Chapter,” APPLICATIONS OF IOT USING DEEP LEARNING”, to Techno Arete Group publishers 29.9.2022
