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PG Diploma in Data Science

Kick-start your Data Science journey with India's 1st NASSCOM certified PG Diploma in Data Science from IIITB. Start your Diploma today!

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Intro Video
With Industry Experts From
  • 34,500+
    Students Empowered
  • Online
    Format
  • 50+ countries
    Learner base
  • 12 months
    Recommended 12-15 hrs/week
  • Nov 29, 2020
    Start Date
  • Instructors
  • Syllabus
  • Specialisation
  • Projects
  • Benefits
  • Reviews
  • Admission Process
  • Fees

About the Program

Choose from 5 specialisations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more

5 Unique Specialisations

Choose from 5 specialisations as per your background & career aspirations. Get a PG Diploma in Data Science from IIIT-B with a specialisation.

Dedicated Career Assistance

Receive 1:1 career counselling sessions, resume building sessions and mock interviews. Utilise the projects in the course to build your profile on platforms like GitHub.

Personalised Mentorship

Get a dedicated student mentor with proactive support every step of the way & personalised fortnightly group (1:8) mentorship sessions with industry experts.

Program Overview

Key Highlights

  • Designed for Working Professionals
  • IIIT Bangalore Alumni Status
  • 14 Programming Tools & Languages
  • 60+ Industry Projects
  • NASSCOM validated 1st PG Diploma
  • 360 Degree Career Support
  • One-on-One with Industry Mentors
  • Dedicated Student Mentor
  • Top Skills You Will Learn
    Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing
  • Advance your career
    Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist
  • Who Is This Program For?
    Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals
  • Minimum Eligibility
    Bachelor’s degree, no coding experience required
Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

Programming Languages and Tools Covered

Post Graduate Diploma from IIIT Bangalore

Complete all the courses successfully to obtain this prestigious recognition from IIIT-B with a specialization in any of the following: Natural Language Processing, Deep Learning, Business Intelligence/ Data Analytics, Business Analytics, Data Engineering

  • Connect with a global network of accomplished IIIT-B Alumni
  • Widely recognised and valued Post Graduate Diploma in Data Science
  • Network with Data Science professionals across all industries
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Instructors

Learn from India’s leading Data Science faculty and industry leaders

Hindol Basu
CEO
An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as the CitiGroup, Tata Industries, etc.
Chandrashekar Ramanathan
Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
S. Anand
CEO
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among top 10 data scientists in India with 20 years of experience.
Tricha Anjali
Associate Dean
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. Her research interests include computer and wireless networks.
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, UCB and Harvard Business School with over 9 years of experience
Prof. S. Sadagopan
Director
Prof. Sadagopan is currently the Director (President) of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons.) degree from Madras University.
Sameer Dhanrajani
Co-Founder & CEO
An AI and Analytics evangelist for Fortune 500 companies who has won several industry awards in the field of analytics
Ujjyaini Mitra
Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Prof. G. Srinivasaraghavan
Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies as well as several other Fortune 500 companies.
Dinesh Babu Jayagopi
Associate Professor
Prof. Dinesh has a Ph.D. from Ecole Polytechnic Federate Switzerland, M.Sc. from IISc Bangalore in System Science and Signal Processing and a B.Tech. from Madras Institute of Technology
Kalpana Subbaramappa
Ex-AVP
Kalpana is the ex-AVP of Decision Sciences at Genpact with over 20 years' experience.
Mirza Rahim Baig
Lead Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains
Sajan Kedia
Lead Data Scientist (Pricing)
An alumnus of IIT with over 7 years of experience at Watson at IBM Research, startups & Myntra

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
  • Preparatory Course
    • 4 Weeks
  • Data Toolkit
    • 11 Weeks
    • 2 Assignments
    +1
    Instructors
  • Machine Learning
    • 9 Weeks
    • 3 Assignments
  • Specialization 1: Deep Learning
    • 19 Weeks
    • 4 Assignments
  • Specialization 2: Natural Language Processing
    • 19 Weeks
    • 4 Assignments
  • Specialization 3: Business Intelligence/ Data Analytics
    • 19 Weeks
    • 4 Assignment
  • Specialization 4: Business Analytics
    • 19 Weeks
    • 4 Assignment
  • Specialization 5: Data Engineering
    • 19 Weeks
    • 4 Assignment
  • Capstone
    • 6 Weeks
    • 1 Assignment
  • 400+
    Content Hours Available
  • 60+
    Industry Projects
  • 20+
    Live Learning Sessions
  • 25
    Expert Coaching Sessions
  • 14
    Programming Tools/ Languages

Specialisation

Post Course 2 (Machine Learning), choose any one of the below 5 specialisations as per your background and career aspirations

  • Deep Learning
  • Natural Language Processing
  • Business Intelligence/ Data Analytics
  • Business Analytics
  • Data Engineering

  • Topics Covered

    Deep Learning
    • 19 Weeks
    • 4 Assignments
    Tree Models
    14hr
    Model Selection & General ML Techniques
    7hr 30min
    Bagging and Boosting
    12hr
    Advanced Regression
    12hr
    Advanced Regression Assignment
    12hr 30min
    Principal Component Analysis
    8hr
    Time Series Analysis
    10hr
    Telecom Churn Case Study
    14hr
    Introduction to Neural Networks
    30hr
    Neural Networks Assignment
    12hr
    Convolutional Neural Networks - Introduction and Industry Applications
    20hr
    Recurrent Neural Networks
    15hr
    Gesture Recognition
    20hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More

  • Topics Covered

    Natural Language Processing
    • 19 Weeks
    • 4 Assignments
    Tree Models
    14hr
    Model Selection & General ML Techniques
    7hr 30min
    Bagging and Boosting
    12hr
    Advanced Regression
    12hr
    Advanced Regression Assignment
    12hr 30min
    Principal Component Analysis
    8hr
    Time Series Analysis
    10hr
    Telecom Churn Case Study
    14hr
    Lexical Processing
    10hr
    Syntactic Processing
    30hr
    Syntactic Processing Assignment
    10hr
    Semantic Processing
    10hr
    Chatbot Case Study
    20hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More

  • Topics Covered

    Business Intelligence/ Data Analytics
    • 19 Weeks
    • 4 Assignments
    Introduction to Databases
    8hr
    Advanced SQL and Best Practices
    9hr
    Schema Design and Retrieval Assignment
    8hr
    NoSQL Databases and Best Practices
    20hr
    Introduction to Cloud and Hive
    12hr
    SQL Case Study: Analysing Big Data in Retail
    14hr
    Advanced Excel
    10hr
    Visualisation using Tableau
    16hr
    Interactive Marketing Campaign Analysis
    10hr
    Visualisation using PowerBI
    9hr
    Introduction to R and RShiny
    14hr
    Effective Communication Strategies, Formats, and Templates
    8hr
    Presentations to Technical and Non-Technical Stakeholders
    8hr
    Business Case Study
    16hr
    Tools Covered

    Project

    Capstone Project
    Solve an end-to-end real-life industry problem from a wide variety of domain...
    Learn More

  • Topics Covered

    Business Analytics
    • 19 Weeks
    • 4 Assignments
    Tree Models
    14hr
    Time Series Analysis
    20hr
    Retail-Giant Sales Forecasting Assignment
    9hr
    Model Selection & General ML Techniques
    7hr 30min
    Telecom Churn Case Study
    14hr
    Advanced SQL and Best Practices
    9hr
    Advanced Excel
    10hr
    Structured Problem Solving using Frameworks
    9hr
    Hypothesis Formulation
    9hr
    Business Problem Assignment
    8hr
    Revenue and Operational Cost Modelling
    8hr 30min
    Introduction to Economics and Financial Concepts
    12hr
    Effective Communication Strategies, Formats and Templates
    8hr
    Presentations to Technical and Non-Technical Stakeholders
    8hr
    Business Case Study
    16hr
    Tools Covered

    Project

    Capstone Project
    Solve an end-to-end real-life industry problem from a wide variety of domain...
    Learn More

  • Topics Covered

    Data Engineering
    • 19 Weeks
    • 4 Assignments
    Introduction to Hadoop and MapReduce Programming
    12hr
    Data Management and Relational Database Modelling
    8hr
    NoSQL Databases and Apache HBase
    12hr
    Data Warehousing (Optional)
    8hr
    Data Ingestion with Apache Sqoop and Apache Flume
    12hr
    Business Problem Assignment (Optional)
    15hr
    Building and Querying Data Warehouse with Apache Hive
    20hr
    Case Study: Ingestion & Warehousing
    20hr
    Data Processing with PySpark
    20hr
    Real-Time Data Streaming with Apache Kafka
    11hr 59min
    Real-Time Data Processing using Spark Streaming
    12hr
    Business Problem Assignment (Optional)
    15hr
    Building Automated Data Pipelines with Oozie/Airflow
    12hr
    Analytics using PySpark
    20hr
    Case Study: Kafka, Spark Streaming and PySpark
    20hr
    Tools Covered

    Project

    Capstone Project
    The capstone project will stitch all the components of data engineering toge...
    Learn More

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

  • Engage in collaborative projects with student-mentor interaction
  • Benefit by learning in-person with expert mentors
  • Personalised subjective feedback on your submissions to facilitate improvement
  • IMDb Movie Analysis
    Analyze movie data from the past hundred years and find out various insights...
    Learn More
  • Uber Supply-Demand Gap
    Use analytics to identify why Uber sometimes faces a supply-demand challenge...
    Learn More
  • Creditworthiness of Customers
    Learn how Predictive Analytics can be used to decide the creditworthiness of...
    Learn More
  • Lead Scoring
    Learn how the knowledge of basic machine learning algorithms can be used to ...
    Learn More
  • Fraud Detection
    Decline fraud transactions on a credit card in real-time to minimize the los...
    Learn More
  • Speech Recognition
    Learn how Google speech-to-text works and make your own model using deep lea...
    Learn More
  • Image Captioning
    Build a model which will caption a given image and describe it in sentences ...
    Learn More
  • Gesture Recognition
    Learners will build a gesture recognition model for a Smart-TV to recognize ...
    Learn More
  • Social Media Listening
    What if you could predict the popularity of a brand like upGrad in India?
    Learn More
  • Telecom Churn
    Telecom companies often face the problem of churning customers due to the co...
    Learn More
  • Retail-Giant Sales Forecasting
    Help a retail-giant to have a clear idea of how their sales will look like i...
    Learn More
  • Interactive Marketing Campaign Analysis
    Research and analyse data from a marketing campaign to gain valuable insight...
    Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
  • Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
    Student Success Mentors
    • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
    • Success Mentors are your single points of contact for all your non-academic queries
  • Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts
  • Industry Networking
    • Live sessions by experts on various industry topics
    • One-on-one discussion and feedback sessions with industry mentors
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni

Over 500 Careers Transformed

Learn more about successful career transitions in the
Career Transition Handbook
Career Counselling
Get personalised career paths traced by experts to ascertain the best opportunities
Learn More
Resume Feedback
Obtain specific, personalised inputs on your resume structure and content
Learn More
Interview Preparation
Get unlimited mock interview sessions with hiring managers and receive detailed feedback
Learn More

upGrad Alumni

Akash Kumar
Digvijay Vyas
Santhosh Francis
Shreyas Srivatsan
Snigdha Prakash
Anand Sonawane
Harsha Raikar
Jai Singh Bhagat
Asher Babu
Jaya Priya
Kumar Vaibhav
Manshul Goel
Mathew George
Mirza Hashim
Mukund Kumar
Nirmal Maheshwari
Ragul Tamilchemma
Sai Dileep
Rutuja Mowade
Shyam Kumar V N
Soumya Kuttapa

Admission Process

There are 3 simple steps in the Admission Process which is detailed below:

Step 1: Take the Online Eligibility Test

Step 1: Take the Online Eligibility Test

Complete your application to take the 17 minute online eligibility test to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.

Step 2: Get Shortlisted & Receive your Offer Letter

Step 2: Get Shortlisted & Receive your Offer Letter

Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission to the PG Diploma in Data Science.

Step 3: Block your Seat & Begin the Prep Course

Step 3: Block your Seat & Begin the Prep Course

Block your seat with a payment of USD 450 to enroll into the program. Begin with your Prep course and start your Data Science journey!

Program Fee
4099 USD
Get a chance to avail a fee waiver basis your profile and test scores! Write to us at international.admissions@upgrad.com to know more!

    Student Reviews

    Vibhor Srivastava
    4.5 Years Experience Deputy Manager, ICICI Bank
    The PGD-DA course from upGrad and IIIT-Bangalore has been a boon for me and it has helped enhance my skills in Excel, SQL, R, etc.
    Rutuja Mowade
    4 Years Experience Analyst, Nice
    It doesn't matter what your previous working background is, as everything is taught from the basics.
    Anshu Srivastava
    6 Years Experience Research Assistant, Nice
    Group case studies really give a sense of teamwork, as it happens in regular classroom studies. It teaches us coordination and right attitude as a team player in meeting all the deadlines.
    Gangadhar Mathyam
    2 Years Experience Data Analyst, Tech Mahindra
    They will prepare you how to face Data Science job interviews. Along with this, upGrad will also provide mock interviews and mock mcqs tests to check your capability for the interviews.
    How You Benefit From This Program
    • Post Graduate Diploma without quitting your job
    • Cutting-edge curiculum designed by industry experts
    • Alumni status from IIIT Bangalore
    • Career transition with 58% average salary hike
    I’m Interested in This Program
    ▼

    Frequently Asked Questions

    Time Commitment
    Career Prospects and Support
    Refund policy/Financials
    Selection Criteria

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