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 Institute of Engineering and Technology (GHRIET), 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
|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,|
|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” “Astronomy Club”||02|
|Skill Training Program||04|
|Social Media Awareness||All our Departmental activities are regularly announced on our social media accounts of LinkedIn, Instagram, Facebook and College Website.|
|Departmental Magazine||Releasing shortly…|
Associate Professor & HOD
Dr. Swapnili Karmore is Dean R&D and an Associate Professor in G.H Raisoni Institute of Engineering & Technology, Nagpur. She is recognized as PhD supervisor in Nagpur University and G.H.Raisoni Saikheda University. She has been associated with the teaching profession from fourteen years. She obtained a senior member grade in IEEE. She received the Institute of Scholar “Research Excellence Award” from the Institute of Scholars in 2021. She received a certificate of Outstanding Contribution in Reviewing ELSEVIER ISTA January, 2018. She received Nari Shakti Award” by All India Sonar Federation (AISF) on 8th March 2019 for Technical education excellence & remarkable work in women empowerment. She got “Shiksha Ratan Puraskar”; certificate of Excellence for Meritorious Service for outstanding performance and remarkable role at a seminar on Economic Growth & National Integration at New Delhi 10th June, 2013. She got UGC International Travel Grant for paper publication during her research work. (ICCSE2013 International Conference on Computer Science and education 2013). She has published five patents, one copyright and published seventy eight plus papers in International and National conferences and Journals. She is a Professional Member of the IEEE & Life member of ISTE. She has organized International conferences and conducted several workshops & guest lecturers for students and faculties. Her research interests include Internet of Things, Artificial Intelligence, Embedded systems and Software Testing. She has guided several projects including inter disciplinary projects of undergraduate and postgraduate students.
Engineering Graduates will be able to:
BE 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 to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyse data and communicate results to inform data driven decisions has never been greater. With the exponentially growing communications of various types and digitalization of almost every service spanning all domains, massive data is generated every minute and second, expertise needed to capture, to visualize, to model and to manage the data for utilization. Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
Institution aims to minimize the college to industry gap, more and more industries are coming to realize the importance of data science. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind. There is a huge application of Data Science in medical, industries, business and Information technology world. Huge scope of jobs, as there are a lot of varied roles in the data science industry. A data visualization expert, a machine learning expert, a data scientist, data engineer, data architect etc. are a few of the many roles that students could select after completion of course.
Increasing demand in Data digitization leads to a great demand for Data Science professionals, not just in India but abroad as well. The demand has almost increased day by day. The B. Tech Data Science course provides students with an edge over other professionals who have an IT background.
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.
G H Raisoni Institute of Engineering and Technology offers a BE Data Science to eligible candidates to impart students with the skills and the mastery needed to succeed in the field of BE Data Science. BE 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 BE Data Science in GHRIET, one of the best Data Science College in Nagpur, apply here: https://raisoni.nopaperforms.com/rgi
|Program Level||Name of Course||Course Type||Medium of Instruction||Sanctioned Intake|
(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.
GHRIET, 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 (BE DS), GHRIET, Nagpur offers you the high-class facility and quality education one can excel in the desired field.
|Sr.No.||Expert Name||Title||Event Date|
|1||Dr. Swati Manekar,Nirma University, Ahmedabad.||Expert talk on Bioinformatics||03 September 2021|
|2||Mr. Mukesh Kawatghare.KCyber Security, Nagpur.||Attack in Database (SQL Injection, DoS).||18 September 2021|
|3||Dr. Sanghratna Godbole, NIT Warangal||Graph Theory||20 September 2021|
|4||Dr. Mansi Radke, VNIT. Nagpur.||Information Retrieval||4 October 2021|
|5||Pramod Kumar Singh, Emerges Software Solutions||Data Science and its career opportunities||29 October 2021|
|6||Dr. Puja Shrivastav I Nurture Raipur.||Control Unit Design and Applications||8 December 2021|
|7||Dr Mridu Sahu, NIT, Raipur.||Time Series Analysis||10 December2021|
|8||Mr. Parag Dhawan, VNIT.Nagpur.||Data Science||11 December2021|
|9||Dr. Swapnili Karmore||Plagiarism and Policy||26 Feb 2022|
|10||Dr. Rachna Somkumwar, D.Y. Patil Pune.||Computer Graphics Visualization||24 March 2022|
|11||Vaishali Surguse, KDK, Nagpur.||Asymptomatic Notation & Analysis of Algorithm||24 March 2022|
|12||Dr. Yogeshri Choudhari, KDK, Nagpur.||Recurrence relation and Divide Conquer Strategy||Recurrence relation and Divide Conquer Strategy|
|13||Mr. Arpit Yadav, INSOFE Bangalore||Application of AI in Healthcare||22 March 2022|
|14||Dr. Sanghratna Godbole, NIT, Warangal.||Software Engineering and Project Management||8 April 2022|
|15||Mr Upendra Chaourasia, NIT, Warangal.||Deadlock in Operating System||8 April 2022|
|16||Dr. Mridu Sahu, NIT, Raipur.||Design Analysis of Algorithm||19 May 2022|
|17||Mr Parag Dhavan, VNIT, Nagpur.||Keras Deep Learning Library & Deep learning Model||21 May 2022|
|18||Mr Shravan Purvey, Chandrapur.||Design Analysis and Algorithm||12 Jun 2022|
|19||Rakesh Pandey, Director, genX,Delhi||Python for Data Structure||11 July 2022|
|20||Rakesh Pandey, Director, genX,Delhi||Industry College Interaction||29 July 2022|
|Sr.N||Event Date||Title||Expert Name|
|01||10 to14 Feb 2022||Skill Development Training Program on “Deep Learning”||Mr Arpit Yadav, Senior Data Scientist, INSOFE Bangalore|
|02||17 to 18 Feb 2022||Two Days skill Training Program on “Mobile Development IOS /Android”||Mr. Chandra Rao, Senior Software Engineer, Food Panda, Singapore|
|03||20 to 25 July 2022||Six Days Skill Training Program on “Advances In Machine Learning”||Mr. Parag Dhawan, SCM Engineer, Prakat Solution Pvt.Ltd., India|
|Sr.No.||Event Name||Event Date||Number of Entries|
|01||Hand & Feet||21/04/2022||40|
|05||Men In Action||23/04/2022||50|
|Sr. No.||Name of Faculty||Name of Award/Achievement||Award by/Host place||Year|
|01||Dr. Swapnili Karmore||Award: “Research Excellence Award” Institute of Scholar||Institute of Scholar||2021|
|02||Dr. Swapnili Karmore||Recognation: Recognized as PhD supervisor in Nagpur university||Nagpur university||2021|
|03||Dr. Swapnili Karmore||Trainer: Delivered expert lecture in One Week FDP “Recent and Emerging Trends in IT” by D.Y. Patil Institute of Technology, Pimpri, Pune on 27-07-2021.||D.Y. Patil Institute of Technology, Pimpri, Pune||2021|
|04||Dr. Swapnili Karmore||Best Paper Award, Power - Aware Routing Protocols for Wireless Networks: An Empirical Study.MNNIT Allahabad, Prayagraj, India.||MNNIT Allahabad, Prayagraj, India.||2022|
|Sr.No.||Name of Author||Title of Paper||Name of Journal||National/ International||Year of Publication||Organizer|
|01||Dr. Swapnili Karmore||Mental Illness Detection through Audio Signal Processing.||Emerging SCI Journal Bioscience Biotechnology Research Communications “Web of Science”||International||2020||Shri Ramdeobaba College of Engineering and Management, Nagpur|
|02||Dr. Swapnili Karmore||Design and Development of Privacy Preservation Approach in Data Mining: A Literature Review Paper"||Elsevier SSRN||International||2022||5th International Conference on Innovative Computing And Communication ICICC 2022|
|03||Dr. Swapnili Karmore||Statistical Evaluation of Power-Aware Routing Protocols for Wireless Networks: An Empirical Study||International Journal of Intelligent Information Technologies (IJIIT) (Scopus) (ESCI)||International||2022||MNNIT Allahabad, Prayagraj, India.|
|Sr.No.||Name of the Author||Title of Paper||Name of Conference||National/ International||Year of Publication||Organizer|
|01||Dr. Swapnili Karmore||Mental Illness Detection through Audio Signal Processing||ICIDC2020,International conference on Intelligent system Data Science and Computing||International||2022||Shri Ramdeobaba College of Engineering and Management, Nagpur|
|02||Dr. Swapnili Karmore||Design and Development of Privacy Preservation Approach in Data Mining A Literature Review Paper||International Conference on Innovative Computing and communication ICICC-2022||International||2022||Organized by Shahid Sukhdev College of Business studies University Delhi|
|03||Dr. Swapnili Karmore||Statistical Evaluation of Power-Aware Routing Protocols for Wireless Networks: An Empirical Study during the||International Conference on Advancements in Interdisciplinary Research (AIR-2022) held on||International||2022||MNNIT Allahabad, Prayagraj, India.|
|04||Dr. Swapnili Karmore||Empirical Evaluation of Density-Based Clustering Rule Mining Models for Dynamic Data:Statistical Perspective||International Conference on Intelligent Systems and Smart Infrastructure (ICISSI-2022)||International||2022||International Conference on Intelligent Systems and Smart Infrastructure|
|05||Dr. Swapnili Karmore||A Review on performance of broadcasting protocol for Ad-hoc and Sensor Network||International Conference on 'Recent Developments in Mechanical Engineering-2022'||International||2022||Shri Ramdeobaba College of Engineering and Management, Nagpur|
|06||Dr. Swapnili Karmore||An IoT-based Solution for Military Healthcare Monitoring||Artificial Intelligence Big Data Analytics (ICAIBDA-22)||International||2022||GHRIET, Nagpur|
|07||Dr. Swapnili Karmore||Smartstick With Smart Navigation System||Artificial Intelligence Big Data Analytics (ICAIBDA-22)||International||2022||GHRIET, Nagpur|
|08||Dr. Swapnili Karmore||An Analytical Review on Challenges and Solutions for Secure Data Access through Blockchain-Based IoT||Artificial Intelligence Big Data Analytics (ICAIBDA-22)||International||2022||GHRIET, Nagpur|
|Sr No.||Name of the Author||Title of Paper||Book Chapter||National/ International||Year of Publication|
|01||Dr. Swapnili Karmore||Empirical Evaluation of Density-Based Clustering Rule Mining Models for Dynamic Data:Statistical Perspective||Taylor and Francis Group||International||2022|
|Sr.No.||Name of Faculty||Registration Number||Title of Work||Diary Number||Date of Certificate|
|1||Dr. Swapnili Karmore||L-101916/2021||IOT BASED HUMANOID ARCHITECTURE FOR IDENTIFICATION AND DIAGNOSIS OF DISEASES||5555/2021-CO/L||12/04/2021|
|Sr.No.||Name of the Faculty||Title of Patent||Patent No||Patent No||Year|
|01||Dr. Swapnili Karmore||Intelligent Immuno Meter||IN-UP85955945128416T||Registered||2021|
|02||Dr. Swapnili Karmore||Network Gateway Device||App. No.: 344543-001||Published||2021|
|03||Dr. Swapnili Karmore||An Intelligent System & method to Track and navigate Moving Objects in a Smart Environment using IoT Network||App. No.: 2021106062||Published||2021|
|04||Ms. Priyanka Pitale||Method and Process to Improve the Digital Education System||202221004893 A||Published||2021|
Students of Data Science Department have participated in inter and intercollege activities.