About the Department
B. Tech in Data Science (DS) is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The program encompasses AI & DS as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems
Data Science Department in G H Raisoni College of Engineering and Management (GHRCEMN), Nagpur provides students with the necessary background in digitalized world. Data Science professional skilled with knowledge of computer science, statistics, and mathematics. They analyse, process, and model data then interpret the results to create actionable plans for companies and other organizations. Nowadays Data experts have to use IoT, Machine Learning and Artificial Intelligence, which added optimization and computer Science as a method for uploading and analysing data. This new approach turned out to be much faster and effective, and so extremely popular. The proper interpretation and modelling requires good domain understanding; this becomes an inherently interdisciplinary endeavour.
The Data Science Department provides a full time eight semester, undergraduate BE program in data Science. It aims to learn the process of building, cleaning, and structuring datasets to analyse and extract their meaning. Objective of this program is to provide graduates in Data Science having appropriate training; who can deal, learn and analyse huge data for developing solutions for its management in different sectors. Learning of advanced tools is also one of the main objective for the program to cope of with the changing innovative and latest trend technology.
Digital transformation touches all areas of business, including product innovation, operations, go-to-market strategy, customer service, marketing, and finance. However, digitization is not only about the acceleration of business processes and leveraging new opportunities. It is also about the need to outpace digital disruption and solidify one's position in a rapidly evolving business environment. To identify which areas need to be transformed and how, to eliminate the possible risks and avoid the unnecessary drain on resources, modern organizations adopt the data-driven approach to digital transformation. They use data science to collect, process, and analyze their business data, which they can then turn into actionable insights. After gaining knowledge of this specialized branch, students will be able to develop solutions by computing, implementing and utilizing algorithms for dealing with complex data. It includes multiple subject modules which let them become skilled professionals in Data Science.
Department provides several hands-on Workshops and Seminars which are an integral part of our academic programs. To minimize the college to industry gap, Data Science programs are introduced specially for the students by the Department of Data Science. Student-initiated clubs and forums are intended to promote innovative ideas and to adapt to the latest trend in technology

Vision & Mission
Our Vision
- To advance the state of the art in Data Science by providing quality education, using latest tools. To serve the local and the national community by creating awareness about IT related products and to impress upon then the importance of knowledge management. To contribute effectively to the nation, to produce quality human resource in the Data Science and Information Technology management for sustainable development of the country's IT industry needs.
Our Mission
- The mission of the department is to educate students and enhance technical skills in the areas of Data Science by providing knowledge of latest trends, tools and technology.
- To promote innovative and research-based projects/activities in the emerging application areas of technology convergence.
Meet Our HOD

Dr. Madhuri A. Tayal is an Professor and Head of Data Science Department, G H Raisoni College of Engineering and Management, Nagpur. She received her Ph.D. Degree in Computer Science & Engineering Department from Nagpur University in 2017. She is recognized as PhD supervisor in Nagpur University. She has a rich teaching and research experience around twenty years. She worked in Shri Ramdeobaba College of Engineering and Management, Nagpur, for 14 years.
Her research interests include NLP, Machine Translation, Computation Linguistics, Machine Learning and Deep Learning Applications. She received grant from AICTE, India, of three lakhs rupees for organizing two weeks FDP on "Computational Linguistics: Techniques and Applications". She has authored more than fifty research papers in reputed International and national journals/conferences in the area of Natural Language Processing, Intelligent techniques and Applications, Artificial Intelligence, Machine Translation, Text Summarization etc. She has published three patents, three copyrights. She is a Life member of ISTE, IAENG, ACM. She is contributing for Project works in association with CDAC Mumbai, which are launched on OLAB site for children education. Her project works along with PhD scholars are ongoing in association with LTRC, IIIT Hyderabad, Telangana India. She has successfully completed Research Internship for forty hrs. for 26 students titled "NLP with Machine Learning" in association with LTRC, IIIT Hyderabad, Telangana India. She Received Best Paper award for International Conferences, ICESC-2014, ICICA-2021. She has organized International conferences and conducted several workshops, FDPs & guest lecturers for students and faculties. She serves on the editorial and review board of a multitude of journals related to Computer Science.
She has a strong conviction that quality education forms the bedrock of nation-building and without it, no country can make progress."
Our USP
| Our USP | Briefing |
|---|---|
| MoUs | The MOU opens opportunities to explore possibilities for collaborations on various research projects, joint organization of seminars and conferences, exchange of faculties and students and other professional, technical and academic collaboration benefiting students of the institutions. Our MoU with:
|
| Faculty Expertise domains | Data Science, Machine Learning, Artificial Intelligence, Cloud Computing, Data Mining, |
| Patents | 04 |
| Book Chapter | 03 |
| Copyrights | 02 |
| Faculty Awards | 05 |
| Faculty as Resource person / outside world Interaction | Reviewers / Session Chair / Keynote speakers / Project Evaluators / Mentors. |
| DS Forum "Data Dynamo" | Our Forum for students to showcase their hidden talent & relax from their busy academics schedule. |
| Data Science Club | 03 |
| Guest Lectures | 31 |
| Skill Training Program | 11 |
| FDP | 02 |
Course & Admission Overview
B.Tech Data Science
B.Tech Data Science program combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce Artificial Intelligence (AI) systems that perform tasks ordinarily requiring human intelligence. These systems generate valuable insights that analysts and business users can transform into informed, data-driven decisions and tangible business value.
Data Science is one of the fastest-growing career domains, and the demand for skilled professionals has never been higher. With rapid digitalization and the increasing use of technology across industries, enormous volumes of data are generated every second. Data Science focuses on collecting, processing, analyzing, visualizing, and managing this data using advanced tools and machine learning techniques to uncover hidden patterns, generate meaningful insights, and build predictive models for smarter decision-making.
The institution aims to bridge the gap between academia and industry by equipping students with industry-relevant knowledge and practical skills. Organizations across sectors increasingly recognize the importance of Data Science in maintaining competitiveness in the era of Big Data. Data Science has wide-ranging applications in healthcare, manufacturing, finance, business analytics, and information technology. Graduates can pursue rewarding careers as Data Scientists, Machine Learning Engineers, Data Engineers, Data Architects, Data Analysts, and Data Visualization Experts.
The growing trend of data digitization has created tremendous demand for Data Science professionals in India and across the globe. This demand continues to rise as businesses increasingly rely on data-driven strategies for growth and innovation. The B.Tech Data Science program provides students with a strong technical foundation, practical experience, and a competitive advantage over traditional IT professionals, preparing them for successful careers in the rapidly evolving world of Data Science.
Course Eligibility Criteria
For admission to B. Tech Data Science in our best engineering college in Nagpur, the candidate must have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects and obtained at least 50% marks for open category (at least 45% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and the Candidate should have appeared in all the subjects in MHT-CET and should obtain non zero scores in MHT-CET.
Admission Procedure:
G H Raisoni Institute of Engineering and Management offers a B.Tech Data Science to eligible candidates to impart students with the skills and the mastery needed to succeed in the field of B.Tech Data Science. B.Tech Data science Engineering is a four years, eight Semester full-time course. Apply now to get admission to the best Data Science College in Nagpur.
To take admission to B.Tech Data Science in GHRCEMN, one of the best Data Science College in Nagpur, apply here: https://admission.raisoni.net/
Course Duration: Four Years (Eight Semester)
Fee Details: As per Shikshan Shulk Samiti
Pattern of the Course: Semester
| Program Level | Name of Course | Course Type | Medium of Instruction | Sanctioned Intake |
|---|---|---|---|---|
| UG | Data Science | Regular | English | 60 |
Future Scope of the Course-
(a) Types of Further Studies: Students can propagate their career as Data Analytic, Data Scientist. They can form hypotheses, can perform experiments to gather data, can improve and assess data's quality, can clean and streamline datasets and can organize and structure data for analysis. They can do further studies to get expertise on Data handling by writing algorithms in coding languages to collect and analyse big data. They can also significantly speed up the processes of gathering and analysing data
(b) Jobs Opportunity: Latest surveys indicate that data connectivity and integration are considered as critical components for digital transformation by most businesses. The number of job postings for data scientists is growing day by day. Related search queries for ‘Data Science’ have increased four times over the past five years. As a result, a lot of companies that want to unlock the power of their data lack the necessary expertise or resources. Data science has several applications in Healthcare, Gaming, Image Recognition, Recommendation Systems, Logistics, Fraud Detection and Banking. Job opportunities are open for the students in all the mentioned sectors.
Placements
GHRCEMN, Nagpur has intensely made arrangements for the Training and Placement cell. This cell completes various pre-exercises that can assist students with getting ready for recruitment. To do these placement drives we have teamed up with around 200 companies/organizations. A great deal of these companies visit our institute for the recruitment process. The placement department has continuous interaction with the industries to have an idea of what the industry expects from our students who work under the guidance of the Principal and Placement cell officer. It acts as a link between the industry and the students. So, if you are finding the best computer science engineering college in Nagpur for Data Science (B.Tech DS), GHRCEMN, Nagpur offers you the high-class facility and quality education one can excel in the desired field.
Programme Educational Objectives
- PEO-I: Preparation: To prepare students to succeed in employment/profession and/or to pursue postgraduate and research education in the Data Science discipline in particular and allied Engineering disciplines in general.
- PEO-II: Core Competence: To provide students with a solid foundation in mathematical, scientific and engineering fundamentals required to formulate, analyse and solve engineering problems requiring knowledge of Data Science & Engineering.
- PEO-III: Breadth: To prepare students with engineering breadth to innovate, design, and develop software products and to contribute solutions related to multidisciplinary real-life problems.
- PEO-IV: Professionalism: To inculcate in students a professional and ethical attitude, effective communication skills and teamwork to become a successful professional.
- PEO-V: Learning Environment: To provide students with an academic environment that makes them aware of excellence and lifelong learning in emerging technologies.
Program Outcomes
- 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 2. 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.
- 3. 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 public health and safety, and cultural, societal, and environmental considerations.
- 4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- 5. 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.
- 6. The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
- 7. Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of, and need for, sustainable development.
- 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
- 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 10. 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.
- 11. Project management and finance: Demonstrate knowledge and understanding of engineering and 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.
- 12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in, independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes
- PSO1: Apply the skill to manage and secure data for utilization and developing solutions in the application areas of Health Care, Education, Agriculture, Intelligent Transport, Environment, Smart Systems & in the multi-disciplinary area of Data Science.
- PSO2: Demonstrate engineering practice learned through industry internship to solve live problems in various domains. Can able to cope of with the changing innovative and latest trend technology.
Academics & Department
Faculty List
Student Achievements
| SN | Name of Student | Semester | Position | Achievements |
|---|---|---|---|---|
| 1 | Vatsal Rungta | VII | - | Published a paper in INSPECt, an IEEE Proceedings International Conference organized by IIITM Gwalior. |
| 2 | Sahil Rajankar | VII | 2nd | State-Level Debate Competition held at S.K. Porwal College. |
| 3 | Sneha Malewar | VII | - | Receives yearly scholarship of ₹50,000 by InfoCept. |
| 4 | Om Dhok | IV | 1st | SN College, RTMNU Elocution Competition |
| 1st | Morris College Elocution Competition | |||
| 1st | Rotary Club Debate Competition | |||
| 1st | 1st position in Debate competition organized by Ministry of Mines and Ministry of Steel held at priyadarshi college of Engineering | |||
| 1st | NDHTA Lawn Tennis Tournament | |||
| 2nd | State Level Elocution Competition and with 91.5 points in the state debate tournament held at Vasantrao Naik College. | |||
| 3rd | Khasdaar Krida Mohotsav | |||
| 3rd | Lawn Tennis Men | |||
| 3rd | Rotary Club Debate Competition | |||
| 3rd | RTMNU Elocution Competition | |||
| 3rd | छातà¥à¤° गरà¥à¤œà¤¨à¤¾ (Mock Parliament 2.0) Priyadarshini College of Engineering , Nagpur | |||
| Selected | Got selected in National student parliament as student speaker in NSP by MP's session. The honorable Lok Sabha member Shri Krupal Tumane and honorable Rajya Sabha member Dr. Anil Bonde felicitated him with congratulations | |||
| 5 | Mansi Patil Aditya Kadu Om Dhok | IV ,VI | Participated | National Students Parliament organized by G H Raisoni College of Engineering |
| 6 | Dipti Ghukse | IV | 3rd | Rotary Club Debate Competition (Team Event) |
| IV | 2nd | Face Painting Competition held under Antaragni 2023 | ||
| 7 | Mansi Patil | VI | Selection | Secretary IEEE Geoscience Remote Sensing Society. |
| Selection | Project "Designing A Nanosatellite For Cyclone Intensity Estimation" was also selected at the 108th Indian Science Congress for the IPR category. | |||
| 8 | Vedanshree Sahare | IV | Appointed | Appointed as a secretary of IEEE WIE Chapter |
| 9 | Shreya Kuthe | VI | Appointed | Appointed as a webmaster of IEEE WIE Chapter |
Faculty Achievements
Newsletter And Magazines
Academic Calendar
Departmental Activities
Faculty Development Program
| Sr. No. | Name of Faculty | Name of Award / Achievement | Award By / Host Place | Year |
|---|---|---|---|---|
| 01 | Mrs. Reena Chauhan | Award: "Noteworthy Contributions to the Field of Education" | The Ram Manohar Lohia Research Foundation, Hyderabad | 2024 |
Development Program
| Sr. No. | Name of FDP | Organized in Collaboration with | Name of Experts | Number of Attendees |
|---|---|---|---|---|
| 1 | NLP Trends and Applications | Department of Data Science & E & ICT Academy with Dept of CSE, NIT Warangal. | Dr M. Sasi Kumar, Director, CDEC Mumbai, Dr. Saurabh Tiwari, Dr. Lov Kumar, NIT Kurukshetra, Mr. Vandan Mujadia, Research Scientist, LTRC IIIT Hyderabad, Dr. Amol Bhople, Assistant Professor, IIIT Nagpur, Mr. Sachin Mirge, Livewire, Pune, Mr. Ashish Handa, CTO, Genxcoders Pvt. Ltd., Nagpur. | 43 |
- CR meeting.
- Parents Teacher meet.
- Students Counselling.
- BoS Meeting.
- IIT / NIT / Industrial Guest lectures.
- Industry college Interaction sessions
- Data Science Club.
- Astronomy Club.
- Data tron
- Faculty as Resource Person.
- STTP Program Hosted.
- IPR Awareness Programs
- Continuous R & D activities.
- MoUs / Collaborations
Research Proposal
| Sr. No. | Faculty Name | Title of Proposal | Proposal Date | Amount | Organisation |
|---|---|---|---|---|---|
| 01 | Dr. Madhuri Tayal | Development of Machine Translation Models for Low Resource Indian Languages: Malvani, Ahirani, Marwari. | 04/04/2025 | ₹25 Lakhs | Anusandhan National Research Foundation (J. P. Bose Research Grant) |
Patent
| Sr. No. | Faculty Name | Title | Filed Date | Published Date | Granted |
|---|---|---|---|---|---|
| 01 | Dr. Madhuri Tayal | Foldable Electric Bike | 31/10/2024 | - | Granted |
| 02 | Reena Chauhan | Advanced Machine Learning Approaches for Early Detection of Breast Cancer and Associated Therapeutic Challenges. | 25/12/2024 | 28/02/2025 | - |
| 03 | Pragati Agrawal | AI-Based Image Recognition Device for Autonomous Vehicle | 07/03/2025 | - | - |
| 04 | Mamta Ramteke | Deep Learning Based Resource Allocation for Integrated Sensing and Communication in 6G | 20/03/2025 | 28/03/2025 | - |
Copyrights
| Sr. No. | Faculty Name | Work Title | Class of Work | Submitted On |
|---|---|---|---|---|
| 01 | Girish Garghate | Automated Medical Diagnosis Using Image Analysis | Literary / Dramatic | 17/01/2025 |
| 02 | Shivani Harde | Automated Medical Diagnosis Using Image Analysis | Literary / Dramatic | 17/01/2025 |
IIT / NIT / Industrial Guest lectures
| Sr. No. | Faculty Name | Title of Proposal | Proposal Date | Amount | Organisation |
|---|---|---|---|---|---|
| 01 | Dr. Madhuri Tayal | Development of Machine Translation Models for Low Resource Indian Languages: Malvani, Ahirani, Marwari. | 04/04/2025 | ₹25 Lakhs | Anusandhan National Research Foundation (J. P. Bose Research Grant) |
List of Skill Training Program
| Sr No. | Event Date | Title | Expert Name |
|---|---|---|---|
| 01 | 02 to 06 July 2024 | Project Based Learning with Deployment | by Dr. Amruta Chimote, industrial expert Codemate IT Services and a certified Toastmaster. |
| 02 | 02 to 06 July 2024 | Skill Training Program on JavaScript | Dr. Animesh Tayal, an industrial expert from Codemate IT Services, Nagpur. |
Tech Fest Tech Krunch-2K25
| Sr.No. | Event Name | Event Date | Number of Entries |
|---|---|---|---|
| 01 | Emoji Enigma | 16 to 17 April 2025 | 131 |
| 02 | Balloon Bash | 16 to 17 April 2025 | 54 |
| 03 | Extreme Fit | 16 to 17 April 2025 | 132 |
| 04 | Tech Hunt | 16 to 17 April 2025 | 68 |
Event Under “DataCrux” Forum
| Sr.No. | Event Name | Event Date | Number of Entries |
|---|---|---|---|
| 01 | BGMI Esports Tournament | 29 January 2025 | 35 Teams |
| 02 | Extempore Competition | 4 April 2025 | 10 |
Event Under “Code Crafter” Forum
| Sr.No. | Event Name | Event Date | Number of Entries |
|---|---|---|---|
| 01 | HTML & CSS Workshop | 06 September 2024 | 54 |
| 02 | Tree Data Structure & Application | 27 September 2024 | 123 |
Event Under “Project Crafters” Forum
| Sr.No. | Event Name | Event Date | Number of Entries |
|---|---|---|---|
| 01 | Campus Innovate Hackathon | 19 March 2025 | 32 Teams |







