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    Programme Overview

    Key Highlights

    Complimentary Python Programming Bootcamp
    Complimentary Python Programming Bootcamp
    Career Essential Soft Skills Program
    Career Essential Soft Skills Program
    Designed for Working Professionals
    Designed for Working Professionals
    IIIT Bangalore Alumni Status
    IIIT Bangalore Alumni Status
    14+ Programming Tools & Languages
    14+ Programming Tools & Languages
    60+ Industry Projects
    60+ Industry Projects
    360 Degree Career Support
    360 Degree Career Support
    One-on-One with Industry Mentors
    One-on-One with Industry Mentors
    Support available all days for 24 hours
    Support available all days for 24 hours
    Live sessions with Global Experts
    Live sessions with Global Experts
    Exposure to Kaggle competitions
    Exposure to Kaggle competitions

    3 Unique Specializations to choose from
    - Deep Learning
    - Business Intelligence/ Data Analytics
    - Data Engineering


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

    Download Syllabus

    Choose from 3 specializations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more

    3 Unique Specializations

    3 Unique Specializations

    Choose from 3 specializations as per your background & career aspirations. Get an Executive PG Program in Data Science from IIITB with a specialization.

    Dedicated Career Assistance

    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.

    Student Support

    Student Support

    Support available all days for 24 hours. For urgent queries, use the Call Back option on the platform.

    Top Skills You Will Learn
    Predictive Analytics using Python, Machine Learning, Data Viview more
    Advance your career
    Data Analyst, Data Scientist, Data Engineer, Product Analystview more
    Who Is This Program For?
    Engineers, Marketing & Sales Professionals, Freshers, Domainview more
    Minimum Eligibility
    Bachelor’s Degree with minimum 50% or equivalent passing marview more

    Programming Languages and Tools Covered

    Executive PG Program from IIIT Bangalore
    Complete all the courses successfully to obtain this prestigious recognition from IIITB with a specialization in any of the following: Deep Learning, Business Intelligence/ Data Analytics, Data Engineering
    Executive PG Program from IIIT Bangalore
    Click to zoom
    • Connect with a global network of accomplished IIITB Alumni
    • Widely recognized and valued Executive PG Program in Data Science
    • Network with Data Science professionals across all industries


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


    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
    Download Brochure
    Content Hours Available
    Industry Projects
    Live Learning Sessions
    Expert Coaching Sessions
    Programming Tools/ Languages

    Pre-Programme Preparatory Content

    • Data Analysis in Excel
    • Analytics Problem Solving

    Course 1: Data Toolkit

    12 Weeks
    • Introduction to Python
    • Programming in Python
    • Python for Data Science
    • Data Visualization in Python
    • Exploratory Data Analysis
    • Credit EDA Case Study
    • Inferential Statistics
    • Hypothesis Testing
    • Data Analysis using SQL
    • Advanced SQL & Best Practices
    • SQL Assignment: RSVP Movies

    Course 2 - Machine Learning-I

    10 Weeks
    • Linear Regression
    • Linear Regression Assignment
    • Logistic Regression
    • Classification using Decision Trees
    • Unsupervised Learning: Clustering
    • Basics of NLP and Text Mining
    • Business Problem Solving
    • Case Study: Lead Scoring

    Specialisation - Deep Learning

    22 Weeks
    • Bagging & Random Forest
    • Boosting
    • Model Selection & General ML Techniques
    • Principal Component Analysis
    • Advanced Regression
    • Advanced ML case Stuy
    • Time Series Analysis
    • Introduction to Neural Networks and ANN
    • Neural Network Assignment
    • Convolutional Neural Networks
    • Convolutional Neural Networks -Industry Applications
    • Object Detection & Image Segmentation (Optional)
    • Recurrent Neural Networks
    • Gesture Recognition
    • Capstone Project

    Specialisation - Business Intelligence/Data Analytics

    22 Weeks
    • Data Modelling
    • Advanced SQL and Best Practices
    • Introduction to Big Data and Cloud
    • Analytics using Spark
    • Big Data Case Study
    • Visualisation using Tableau
    • Advanced Excel
    • Visualisation using PowerBI
    • Structured Problem Solving using Frameworks
    • Data Storytelling
    • AirBnB Case Study
    • Data Structures - Sets, Dictionaries, Stacks, Queues
    • Searching and Sorting
    • Algorithm Analysis + Recursion
    • Advanced Database Programming using Pandas
    • Python & SQL Lab
    • Capstone Project

    Specialisation - Data Engineering

    22 Weeks
    • Data Management and Relational Database Modelling
    • Introduction to Big Data(Optional)
    • Introduction to Cloud and AWS Setup
    • Introduction to Hadoop and MapReduce Programming
    • Assignment (Optional)
    • NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
    • Data Warehousing (Optional)
    • Data Ingestion with Apache Sqoop and Apache Flume
    • Map reduce Programming Assignment
    • Hive & Querying
    • Assignment (Optional)
    • Amazon Redshift
    • Introduction to Apache Spark
    • Project: ETL Data Pipline
    • AWS Cloud Infrastructure (Optional)
    • Optimising Spark for Large Scale Data Processing
    • Apache Flink(Optional)
    • Real-Time Data Streaming with Apache Kafka
    • Real-Time Data Processing using Spark Streaming
    • Assignment (Optional)
    • Building Automated Data Pipelines with Airflow
    • Analytics using PySpark
    • Project: Real Time data processing
    • Capstone Project


    Post Course 2 (Machine Learning), choose any one of the below 3 specialisations as per your background and career aspirations

    Topics Covered

    Deep Learning

    22 Weeks
    4 Assignments
    Bagging & Random ForestBoostingModel Selection & General ML TechniquesPrincipal Component AnalysisAdvanced RegressionAdvanced ML case StuyTime Series AnalysisIntroduction to Neural Networks and ANNNeural Network AssignmentConvolutional Neural NetworksConvolutional Neural Networks -Industry ApplicationsObject Detection & Image Segmentation (Optional)Recurrent Neural NetworksGesture RecognitionCapstone Project

    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
    • Personalized subjective feedback on your submissions to facilitate improvement

    The upGrad Advantage

    Strong hand-holding with dedicated support to help you master Data Science

    Learning Support

    Learning Support
    Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalized feedbacks on improvement
    Student Support
    • Support is available all days for 24 hours.
    • For urgent queries, use the Call Back option on the platform.

    Doubt Resolution

    Doubt Resolution
    Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalized 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

    Admission Process

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

    Program Fees

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    Refer someone you know and receive cash reimbursements of up to $500!*

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    Student Reviews

    Empowering learners of tomorrow

    Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

    Frequently Asked Questions

    Course Curriculum

    What is the Executive PG Program in Data Science from upGrad?

    The Executive PG Programme in Data Science is an engaging yet rigorous -- month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by IIIT Bangalore.

    What should I expect from the Executive PG Program in Data Science?

    Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

    What should I NOT expect from the Executive PG Programme in Data Science?

    The programme is NOT going to be easy. It will be requiring at least 12-15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

    Which topics are going to be covered as part of the program?

    The programme is designed for working professionals looking for a transition or growth into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into six tracks. The course will have a common curriculum running for approximately for the first 5-6 months that everyone will go through after which they have to do any of the 6 specialization and a capstone project, in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the six specializations are as follows:

    Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models

    Deep Learning Specialization: Advanced Machine Learning, Neural Networks

    Business Intelligence: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization

    Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming and Processing

    What type of learning experience should I expect?

    The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. 

    Is any certification granted at the end of the programme?

    Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore.

    When will I have to choose my specialization track?

    The programme has ~23 weeks of common curriculum and ~29 weeks of the specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all the three tracks, you will be prompted to choose your specialization.

    How do I know which specialization is the best for me?

    When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.

    - Deep Learning: Engineers, Software and IT Professionals

    - Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers

    - Data Engineering: Software and IT Professionals

    Do I have to choose the specialization recommended by upGrad?

    No. You can choose whatever specialization you like once you are through the common curriculum. However, we would urge you to take up the recommendation provided by us as this based on a sophisticated rule engine and is meant to give you the best outcome for your background which will, in turn, make it easier for you to switch to a data role.

    Time Commitment

    What is the time commitment expected for the program?

    At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.

    Will each specialization require different time commitments?

    Each of the six specializations will have a common ~23-week curriculum in which the time commitment will be exactly the same.
    When you move onto a specialization, it might be that some weeks are heavier in a particular track but lighter for the others. But, overall the total time commitment required will be 12-15 hours/week on average.

    Career Prospects and Support

    What type of career support should I expect from this program?

    Preparatory Support: Mentoring on how to make the best resume for a data professional, highlighting technical and domain expertise. Data Science interview preparation and interview mentoring by industry experts.

    How will my doubts/questions be addressed in an online program?

    Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. Regular Q&A sessions with faculty to get clarification on conceptual doubts.

    Will I receive special different career services in each specialization?

    Each specialization is designed to give you the best outcome based on your background and help you industry experts in the data domain. The services and support for all the tracks will remain the same. Every student will have live sessions, industry mentorship and preparatory support according to the requirements in their specialization track.

    Refund Policy/Financials

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programs with/without prep-session component)

    • The student must pay applicable caution money for the enrollment of the course. This will be adjustable against the total course fee payable by the student.
    • You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor  to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
    • Refund shall be processed to an eligible student within 30 working days from the date of receipt of refund form subject to the submission of the right documents from him/her in this regard.
    • Refund shall be subject to deduction of $150 processing charges and as per the conversion rate applicable.

    Deferral Policy: (Post Program Commencement)

    • If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch. This deferral will be subjected to a 10% deferral fee of the total course amount + taxes if any along with the differential program fees between the two cohorts.
    • This deferral request shall be granted only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled.
    • The deferral request will be approved once the deferral fee is paid. Until the process is completed, the student will be assumed to be continuing in the same cohort.
    • The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request shall be deemed as expired, and the student shall continue as part of the current cohort.
    • If the student completes the deferral payment, the student’s login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress till that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether or not the student had submitted these grading during the initial stage.
    • The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the “last grace deadline” as communicated by upGrad.

    Deferral Policy: (Pre- Program Commencement)

    • If a student, due to unavoidable circumstances is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another batch.
    • However, the student will be required to pay 50% of the total course fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
    • A student can request for deferral only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled.
    • The student shall have time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. In the event the student raises a refund request after the deferral window expires, the above-mentioned applicable refund policy shall apply.
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student has opted to defer to (No additional deferral fee is required to be paid). The student shall be liable to pay the differential program fees between the two cohorts if any.

    Selection Criteria

    How do I know if the program is right for me?

    If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.

    My current role does not include exposure to data. Does it make sense for me to opt for this program?

    Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.​

    What is the application process for the program and what are the timelines?

    You can start the application process by submitting the application. Applications have already started for the next cohort.

    What is the selection process for this program?

    upGrad, IIITB, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.

    The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:

    • GRE score is greater than 300
    • GMAT score is greater than 650
    • CAT score is greater than 90 percentile
    • GATE score is greater than 500

    Is there any minimum educational qualification required to take this program?

    To be eligible for the program, the following criteria need to be fulfilled:

    • College Degree: The applicant should have a bachelor’s degree in science/engineering/business administration/commerce/mathematics or masters in mathematics/statistics with 50% or equivalent passing marks.
    • Work experience: The applicant should preferably have at least 1-2 year of professional experience.


    1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

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