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CDAC PG-DBDA- Post Graduate Diploma in Big Data Analytics

Jaishree Gorane 0 Comments

CDAC PG-DBDA- Post Graduate Diploma in Big Data Analytics

Big Data Analytics is transforming businesses by enabling data-driven decisions. CDAC’s Post Graduate Diploma in Big Data Analytics (PG-DBDA) is designed to provide the skills and knowledge needed to excel in this field. This program covers essential areas like data science, machine learning, big data technologies, and practical applications.

Course Overview

Course Focus

The PG-DBDA program prepares students for various roles in big data, such as:

  • Data Scientist and Researcher
  • Big Data Lead/Administrator/Manager
  • Business Analyst
  • Data Visualization Specialist

The course is ideal for those who want to enhance their current analytics skills or start a new career in big data across different industries like government, manufacturing, retail, education, banking, finance, healthcare, and pharmaceuticals.

Key Focus Areas:

  • Big Data Platforms: Learning to use big data technologies and platforms.
  • Data Analysis Techniques: Applying different methods for business applications.
  • Algorithm Design: Creating efficient algorithms to process large datasets.
  • Hadoop and MapReduce: Understanding and using these technologies for big data analytics.
  • Big Data Applications: Exploring practical uses of big data in various industries.

Eligibility Criteria

To enroll in the PG-DBDA program, candidates must meet the following requirements:

  • Educational Qualifications:
    • Engineering/Technology Graduates: Degrees in IT, Computer Science, Electronics, Telecommunications, Electrical, or Instrumentation (10+2+4 or 10+3+3 years).
    • Science Graduates: MSc/MS in Computer Science, IT, Electronics with Mathematics in 10+2, Statistics, Physics.
    • Other Qualifications: Post Graduate Degree in Mathematics, Statistics, Physics, Management with a basic degree in Computer Science, IT, Computer Applications, MCA, or MCM.
  • Academic Performance: At least 55% marks in the qualifying degree.

These criteria ensure that students have a solid foundation to handle the advanced topics in big data analytics.

Also Check – Master Big Data with IISc’s Computational Data Science Program

Course Structure

The PG-DBDA program combines theoretical learning with practical applications. The curriculum covers various aspects of big data analytics to provide a complete learning experience.

Detailed Course Contents

ModuleDuration (Hours)
Linux Programming and Cloud Computing50
Python and R Programming80
Java Programming70
Advanced Analytics using Statistics90
Data Collection and DBMS90
Big Data Technologies150
Data Visualization – Analysis and Reporting50
Practical Machine Learning140
Aptitude & Effective Communication90
Project90

Module Breakdown:

  1. Linux Programming and Cloud Computing: Basics of Linux and cloud platforms essential for big data operations.
  2. Python and R Programming: Learning programming languages used in data analysis and statistics.
  3. Java Programming: Using Java to build scalable big data applications.
  4. Advanced Analytics using Statistics: Applying statistical methods to analyze complex data.
  5. Data Collection and DBMS: Tools and platforms for collecting and managing data.
  6. Big Data Technologies: In-depth study of tools like Hadoop, Spark, and Hive.
  7. Data Visualization – Analysis and Reporting: Techniques for visualizing data and creating reports.
  8. Practical Machine Learning: Hands-on experience with machine learning algorithms.
  9. Aptitude & Effective Communication: Improving problem-solving and communication skills.
  10. Project: A final project that applies all the learned concepts to solve a real-world big data problem.

This curriculum ensures that graduates have the skills needed for various jobs in big data analytics.

Also Check- UGC-Approved Data Analytics Online Courses in India for 2025

Also Check – CDAC’s PG-DAI- Post Graduate Diploma in Artificial Intelligence

Also Check – UGC-Approved Data Science Online Courses in India for 2025

Modes of Delivery

CDAC offers the PG-DBDA program in two ways: Physical (Classroom-based) and Online. This allows students to choose the option that best fits their needs.

Physical Mode

  • Locations: Bengaluru, Chennai, Hyderabad, Kolkata, Mumbai, New Delhi, Noida, Pune, Thiruvananthapuram.
  • Fee: INR 1,15,000/- plus GST.
  • Payment Schedule:
    • First Installment: INR 10,000/- plus GST upon seat allocation.
    • Second Installment: INR 1,05,000/- plus GST before the course starts.
  • Benefits:
    • Face-to-face learning with instructors and classmates.
    • Access to on-campus facilities and labs.
    • Structured learning environment with scheduled classes.

Online Mode

  • Accessibility: Study from anywhere without moving.
  • Fee: INR 97,750/- plus GST.
  • Payment Schedule:
    • First Installment: INR 10,000/- plus GST upon seat allocation.
    • Second Installment: INR 87,750/- plus GST before the course starts.
  • Benefits:
    • Flexible schedule for working professionals.
    • Access to recorded lectures for self-paced learning.
    • Interactive online sessions and instructor support.

Both modes ensure effective delivery of the course content to meet different learning preferences.

Fees and Payment Structure

Understanding the cost is important for planning your education. Here is the fee structure for both delivery methods:

ModeTotal Fee (INR)First InstallmentSecond Installment
Physical1,15,000 + GST10,000 + GST1,05,000 + GST
Online97,750 + GST10,000 + GST87,750 + GST

Payment Guidelines:

  • Installments: Fees are paid in two parts.
  • Payment Methods:
    • First Installment: Paid online using credit/debit cards.
    • Second Installment: Paid via NEFT before the course begins.
  • Note: Payments by Demand Draft (DD), cheque, or cash are not accepted.

What’s Included:

  • Classes: Access to all course sessions, whether online or physical.
  • Exams: Conducting exams and issuing final marks.
  • Certification: A recognized certificate after completing the course.
  • Placement Assistance: Help with job placements through CDAC’s placement program.

Training Centers and Contact Information

CDAC has several training centers across India. Here are the main centers offering the PG-DBDA program:

Bengaluru

  • Address: No 87-A, 6th Cross, Opp. KFC, Wipro Gate, Electronic City, 1st Phase, Bengaluru, Karnataka 560100
  • Phone: 080-28523300
  • Contact Person: Mr. R Guru Prasad
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DESD, PG-DITISS, PG-DBDA, PG-DIoT, PG-DUASP

Chennai

  • Address: TIDEL Park, 8th Floor, ‘D’ Block (North), No.4, Rajiv Gandhi Salai, Taramani, Chennai, Tamil Nadu 600113
  • Phone: 044-22542226/7, 044-22542273
  • Contact Person: Ms. Sunandha D
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DESD, PG-DBDA

Hyderabad

  • Address: Plot No. 6 & 7, Hardware Park, Sy No. 1/1, Srisailam Highway, Hyderabad, Andhra Pradesh 501510
  • Phone: 040-29564857, 7382053731 / 2
  • Contact Person: Mr. BSRK Varaprasad
  • Email: [email protected], [email protected]
  • Courses Offered: PG-DAC, PG-DVLSI, PG-DESD, PG-DITISS, PG-DASSD, PG-DBDA, PG-DUASP

Kolkata

  • Address: Plot E 2/1, Block – GP, Sector – V, Saltlake Electronics Complex, Bidhannagar, Kolkata, West Bengal 700091
  • Phone: 033-23579846 / 23575989
  • Contact Person: Asok Bandyopadhyay
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DRAT, PG-DBDA

Mumbai

  • Address: Sector 7, Rain Tree Marg, Next to Bharati Vidyapeeth, Near Kharghar Railway Station, CBD Belapur, Navi Mumbai, Maharashtra 400614
  • Phone: 022-27565308/04
  • Contact Person: Ms. Rekha Sivasankaran (Admissions & Hostel)
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DBDA

New Delhi

  • Address: Plot No. 20, FC-33, Institutional Area, Jasola, New Delhi 110025
  • Phone: 9811558878, 9166781294, 011-29879518
  • Contact Person: Mr. Apoorva Kohli
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DBDA

Noida

  • Address: B-30, Sector 62, Institutional Area, Noida, Uttar Pradesh 201307
  • Phone: 9711770748, 0120-2210800, Ext 92
  • Contact Person: Mr. Ravi Payal
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DVLSI, PG-DITISS, PG-DAI, PG-DBDA, PG-DUASP

Pune

  • Address: C-DAC Innovation Park Sr. No. 34/B/1 Panchvati, Pashan, Pune, Maharashtra 411008
  • Phone: 020-25503134/136/107
  • Contact Person: Mr. Parimal Wagh
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DVLSI, PG-DESD, PG-DITISS, PG-DAI, PG-DBDA, PG-DUASP, PG-DHPCSA

Thiruvananthapuram

  • Address: C-DAC STDC, Technopark Campus, Kariyavattom, Thiruvananthapuram, Kerala 695581
  • Phone: 0471-2781500, 8547882754
  • Contact Person: Mr. Hiron Bose
  • Email: [email protected]
  • Courses Offered: PG-DAC, PG-DCSF, PG-DBDA

Additional Centers

  • Institute for Advanced Computing and Software Development, Pune
    • Address: Dr. D.Y. Patil Educational Complex, Sector 29, Near Akurdi Railway Station, Pradhikaran, Nigdi, Pune, Maharashtra 411044
    • Phone: 020-27659509, 9607690988
    • Contact Person: Dr. Bharat Chavan Patil
    • Email: [email protected]
    • Courses Offered: PG-DAC, PreDAC, PG-DITISS, PG-DBDA
  • Knowledge-Divine Information Technology Pvt. Ltd., Pune
    • Address: Office No: 2, 1st Floor, “Gokhale Sanchit” Survey No: 846, BMCC Road, Deccan Gymkhana, Pune, Maharashtra 411004
    • Phone: 9021479888, 9823434616
    • Contact Person: Mr. Nachiketas Bhatkar, CEO
    • Email: [email protected]
    • Courses Offered: PG-DAC, PreDAC, PG-DBDA
  • Sunbeam Institute of Information Technology, Pune
    • Address: Sunbeam IT Park, Phase-II (Rajiv Gandhi Infotech Park), Hinjewadi, Pune, Maharashtra 411057
    • Phone: 8447901102
    • Contact Person: Mr. Nitin Kudale, C.E.O.
    • Email: [email protected]
    • Courses Offered: PG-DAC, PreDAC, PG-DESD, PG-DMC, PG-DITISS, PG-DBDA

Prospective students can contact these centers directly for more information about the PG-DBDA program, application procedures, and any other questions.

Course Outcomes

After completing the PG-DBDA program, graduates are ready to take on various roles in the big data analytics industry. The program covers important areas like statistics, machine learning, and big data technologies.

Career Opportunities:

  • Data Analyst: Analyze and interpret complex data to help organizations make informed decisions.
  • Data Engineer: Design and build systems for collecting, storing, and analyzing data.
  • Data Scientist: Develop advanced models and algorithms to extract insights from data.
  • Big Data Manager: Oversee big data projects and manage data analytics teams.
  • Business Analyst: Connect business needs with data solutions.
  • Data Visualization Specialist: Create visual representations of data to communicate insights.

Skills Acquired:

  • Statistical Analysis: Using statistical methods to understand data.
  • Machine Learning: Building and using machine learning models.
  • Big Data Technologies: Working with tools like Hadoop, Spark, and Hive.
  • Cloud Computing: Using cloud platforms for scalable data analytics.
  • Data Visualization: Presenting data insights through visual tools.
  • Problem-Solving: Analyzing and solving data-related problems.

These skills prepare graduates to meet the demands of Industry 4.0 and work in various sectors such as government, manufacturing, retail, education, banking, finance, healthcare, and pharmaceuticals.

Also Check – Top 5 Affordable Online AI Courses Under ₹5,000 for Young Professionals

Frequently Asked Questions (FAQs)

What is the Eligibility for PG-Diploma in Big Data Analytics?

Answer: Candidates must hold one of the following degrees with at least 55% marks:

  • Engineering/Technology: Graduates in IT, Computer Science, Electronics, Telecommunications, Electrical, or Instrumentation (10+2+4 or 10+3+3 years).
  • Science: MSc/MS in Computer Science, IT, Electronics with Mathematics in 10+2.
  • Other Qualifications: Post Graduate Degree in Engineering Sciences with a basic degree in Computer Science, IT, Electronics, Mathematics, Statistics, Physics, MBA Systems, MCA, or MCM.

What is the Selection Criterion?

Answer: Admission is based on CDAC’s Common Admission Test (C-CAT). Candidates need to perform well in this test to secure a seat in the program.

What is the Fee of the Course?

Answer: The fees for the PG-DBDA course are:

  • Online Mode: INR 97,750/- plus 18% GST.
  • Physical Mode: INR 1,15,000/- plus 18% GST.

When Does the Course Commence?

Answer: The course starts twice a year, in March and August. The admission process begins in December and May for the respective batches.

What is the Duration of the Course?

Answer: The PG-DBDA is a full-time course lasting approximately 24 weeks, covering 900 hours of theory, practical work, and project development.

What Infrastructure Facilities are Available?

Answer: CDAC provides fully equipped classrooms with enough space for students and modern labs to enhance your computing skills.

Are Hostel & Canteen Facilities Available?

Answer: Accommodation for outstation candidates is available at some centers. Please refer to the Admission Booklet for more details.

How Often are Course Contents Revised?

Answer: The curriculum is regularly updated to match real-world needs and new trends in big data analytics, ensuring the content stays relevant.

Does CDAC Have a Centralized Placement Cell?

Answer: Yes, CDAC has a Centralized Placement Programme. The training centers help organize campus interviews to assist students in finding jobs.

What is the International Value of the Course?

Answer: The PG-DBDA program is recognized internationally because of its unique curriculum and the opportunities it offers. Graduates have an advantage in the global job market, improving their career prospects both in India and abroad.

Conclusion

CDAC’s Post Graduate Diploma in Big Data Analytics (PG-DBDA) is a great choice for those wanting to build a career in big data. With a thorough curriculum that combines theory and practice, flexible learning options, and strong placement support, PG-DBDA prepares you to succeed in the fast-growing field of big data analytics.

Jaishree Gorane
https://distancelearninghelp.com/

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