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
Dr. Swapnili Karmore
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.
Vision, Mission, PEO, PO & PSO
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.
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
Programme Educational Objectives
PEO-I: Preparation: To prepare students to succeed in employment/profession and/or to pursue post graduate and research educations in Data Science discipline in particular and allied Engineering discipline in general.
PEO-II: Core Competence: To provide students with a solid foundation in mathematical, scientific and engineering fundamentals required to formulate, analyze 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 in providing solutions related to multidisciplinary real life problems.
PEO-IV: Professionalism: To inculcate in students professional and ethical attitude, effective communication skills and team work 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
Engineering Graduates will be able to:
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 the public health and safety, and the 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 the 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 the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the 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 the 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
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.
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.
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
Course Duration: Four Years (Eight Semester)
Fee Details: As per Shikshan Shulk Samiti
Pattern of the Course: Semester
Name of Course
Medium of Instruction
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.
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.