G H Raisoni Institute of Business Management, Jalgaon

An Autonomous Institute & Affiliated to Kavayitri Bahinabai Chaudhari North Maharashtra University Jalgaon

NAAC Accredited Grade "A" with CGPA 3.09”

DTE Code : 5152

About Department

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is all about using data to solve problems. Data science is bringing together all aspects of technology required for gathering, storing, analysing, and understanding data. This includes storage technology, distributed computing, data-driven modelling, data analytics and mining, visualization, and security, among others.

Data-driven businesses are worth $1.2 trillion collectively in 2020. India has welcomed technology with open arms and with initiatives like ‘Digital India’, it will only encourage the integration of technology in all spheres of life. India had over 564.5 million Internet users in 2020 and the number is consistently increasing. According to a study of the data science job market, 40% of global companies struggle to hire and retain data scientists. 1/3 of the top 400 Indian companies lack state-of-the-art data analysis tools and personnel. Further, the study estimate that 364,000 new jobs will be created in data by 2020 in India. According to a report from NASSCOM, by 2021, the total Data science & AI job openings in India is estimated to go by 2,30,000. But the fresh employable talent or university talent available will be just 90,000, leaving a huge gap of 1,40,000.

GHRIBM, Jalgaon is offering a B-Tech program in DATA SCIENCE from session 2020-21. The key highlight of the course would be a core competence in data science, computational mathematics, and statistics, minor specialization in finance, business, health care, retail, medical field. We have designed state-of-the-art syllabus in consultation with a data science expert, the IT industry and academia drew from diverse domains. The proposed B. Tech program is to have a strong emphasis on data science and data engineering for industry perspective, which differentiates it from other computer science and IT program.

The student will be studying basic science and standard engineering subjects along with programming tools required for data science in the first year. In the second and third year, they will be specializing in data science-related topics, along with the required computational mathematics and statistical skills. The core subjects taught include fundamental subjects from computer science along with data analytics, cloud computing & management, machine learning, big data, and deep learning. In the last two semesters, students will specialize in the particular domain area of their interest by studying domain-specific subjects and doing a full semester project in the industry on the domain-related problem. Students taking the course will also intern at companies and take up projects in data science. This program provides ample opportunity for students to specialize in a particular aspect of data science through the electives and the project.

HOD Profile

Prof. Sonal Pramod Patil has a wide experience of teaching more than a decade. She has done her BE, MTech and currently pursuing PhD from SVNIT, Surat. She has received many awards at national and state level. Her area of specialization is Image processing, Video processing, Data warehousing and mining, Machine Learning. She has published many research papers in reputed journals at National and International Levels. Also presented many papers in National and International conferences.

Prof. Sonal Patil
Prof. Sonal Patil

sonal.patil@raisoni.net

8087493893

Vision
  • To impart quality education and conduct research in data science relevant to needs of the industry, national and international community that will help to improve the quality of human life related to Data Science.
Mission
  • To prepare human resource with technical and management skills
  • To meet the contemporary and futuristic Data Science demands of the industry and society at large by delivering relevant curriculum, using the state-of-the-art pedagogical innovations.
  • To undertake relevant research work and practical applications of technology

Program Outcomes

Eligibility

Syllabus

Syllabus
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