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PG Diploma in Big Data Analytics (PG-DBDA)

PG Diploma in Big Data Analytics (PG-DBDA)

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Course Highlights

  • 13 Modules & Sub-modules

  • 24-week full-time courses with 900 hours' theory + lab + project.

  • Expert faculty from C-DAC, Excellent placement records

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Duration: 180 Days

Mode of learning: Classroom

Course Overview

What are the course deliverables ?
  • Well established courses with excellent placement records.

  • 24-week full-time courses with 900 hours' theory + lab + project.

  • 8 hours per day theory + lab sessions on 6 days a week in most centres.

  • Continuous lab and internal assessments during the course.

  • Centralised course-end theory exams across all centres.

  • Courses designed and developed in consultation with the domain experts in C-DAC, academia and ICT industry.

  • Syllabus regularly updated with the latest trends in the ICT industry.

  • Expert faculty from C-DAC and ICT industry with widespread domain knowledge.

  • Tutorials, hands-on and projects relevant to the standards of the ICT industry.

  • Well equipped computer labs with internet that can be accessed most of the time.

  • Special training on aptitude, effective communication and interview skills.

  • Extensive placement orientation and region-wise common campus placements.

  • Excellent participation from top ICT companies in campus placements.

Who should do this course ?
  • The theoretical and practical mix of the Post Graduate Diploma in Big Data Analytics (PG-DBDA) programme has the following focus:

  • To explore the fundamental concepts of big data analytics

  • To develop in-depth knowledge and understanding of the big data analytic domain.

  • To learn to analyze the big data using intelligent techniques.

  • To understand the various search methods and visualization techniques.

  • To learn to use various techniques for mining data stream.

  • To understand the applications using Map Reduce Concepts

  • To analyze and solve problems conceptually and practically from diverse industries, such as government manufacturing, retail, education, banking/ finance, healthcare and pharmaceutical.

  • To undertake consulting projects with significant data analysis component for better understanding of the theoretical concepts from statistics, economics and related disciplines.

  • To undertake industrial research projects for the development of future solutions in the domain of data analytics to make an impact in the technological advancement.

Eligibility
  • Graduate in Engineering or equivalent (e.g. BE / BTech / 4-year BSc Engg / AMIE / DoEACC B Level) in IT / Computer Science / Electronics / Telecommunications / Electrical / Instrumentation. OR

  • Post Graduate Degree in Engineering Sciences with corresponding basic degree (e.g. MSc in Computer Science, IT, Electronics) OR

  • Graduate in any discipline of Engineering or equivalent, OR

  • Post Graduate Degree in Mathematics / Statistics / Physics / MBA Systems, OR

  • MCA

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