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Doctorate in Business Administration
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40,000+

Format

Online

Learner base

85+ countries

Recommended 12-15 hrs/week

12 Months

Start Date

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    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

    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform.

    Syllabus

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

    Download Syllabus

    Program Overview

    Key Highlights

    3 Customised Specializations and NASSCOM Certified Program
    3 Customised Specializations and NASSCOM Certified Program
    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 Relevant Projects
    60+ Industry Relevant Projects
    Career Coaching & Networking
    Career Coaching & Networking
    Global industry experts
    Global industry experts
    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform
    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform
    Learners from 85+ Countries
    Learners from 85+ Countries
    Exposure to Kaggle competitions
    Exposure to Kaggle competitions

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

    upgrad

    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

    IIIT Bangalore

    NASSCOM

    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

    Instructors

    Learn from leading Data Science faculty and industry leaders with international experience.

    Syllabus

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
    Download Brochure
    400+
    Content Hours Available
    60+
    Industry Projects
    50+
    Live Learning Sessions
    20+
    Expert Coaching Sessions
    14+
    Programming Tools/ Languages

    Course 1 - Data Toolkit

    14 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 - Data Analytics

    22 Weeks
    • Data Modelling
    • Advanced SQL Programming
    • Introduction to Cloud and AWS
    • Analytics at Large Scale in Spark - I
    • Analytics at Large Scale in Spark - II
    • Big Data Case Study
    • Basic Viz. using Tableau
    • Advanced Excel
    • Data Analysis and Visualisation in PowerBI
    • Analytical Thinking and Structured Problem Solving using Frameworks
    • Data Storytelling
    • AirBnB Case Study
    • Data Structures and Algorithms
    • Searching and Sorting
    • Algorithm Analysis + Recursion
    • Advanced Database Programming using Pandas
    • Python & SQL Lab

    Specialisation - Business Analytics

    22 Weeks
    • Bagging & Random Forests
    • Model Selection - I
    • Model Selection - II
    • Time Series Forecasting - I
    • Time Series Forecasting - II
    • Model Selection
    • Case Study
    • Basic Viz. using Tableau
    • Advanced Excel
    • Data Analysis and Visualisation in PowerBI
    • Analytical Thinking and Structured Problem Solving using Frameworks
    • Data Storytelling
    • Airbnb Case Study
    • "Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques"
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • "Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio"
    • "Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs"
    • Interview Gynie AI: Chatbot Development Project

    Specialisation - Deep Learning

    22 Weeks
    • Bagging & Random Forest
    • Boosting
    • Model Selection
    • Principal Component Analysis
    • Advanced Regression + Time Series Forecasting (Optional)
    • Advanced ML case Stuy
    • Introduction to Neural Networks and ANN
    • Backpropogation & Hyperparameter Tuning in Neural Networks
    • Introduction to Convolutional Neural Networks
    • CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
    • Applications of DL in CV: Object Detection Image Segmentation (Optional)
    • Gesture Recognition Case Study
    • "Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques"
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • "Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio"
    • "Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs"
    • Interview Gynie AI: Chatbot Development Project

    Specialisation - Natural Language Processing

    22 Weeks
    • Bagging & Random Forests
    • Boosting
    • Model Selection
    • PCA
    • Advanced Regression + Time Series Forecasting (Optional)
    • Advanced ML
    • Case Study
    • Neural Nets for NLP
    • Syntactic Processing
    • Introduction to Semantic Processing & Distributional Semantics
    • Semantic Processing - Topic Modelling
    • Advanced DL in NLP: Attention Mechanism Automatic
    • Ticket Classification
    • Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
    • Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
    • Interview Gynie AI: Chatbot Development Project

    Specialisation - Data Engineering

    22 Weeks
    • Data Management and Relational Database Modelling
    • Introduction to Cloud and AWS Setup
    • Introduction to Hadoop and MapReduce Programming
    • NoSQL Databases and Apache HBase
    • Data Ingestion with Apache Sqoop and Apache Flume
    • Map reduce Programming Assignment
    • Hive and Quering + Optional Assignment
    • Introduction to Apache Spark+ Optional Assignment
    • Amazon Redshift
    • ETL Project
    • Optimizing Spark for Large scale processing
    • Real-Time Data Streaming with Apache Kafka
    • Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional)
    • Building Automated Data Pipelines with Airflow
    • Analytics using PySpark+ Optional Assignment
    • Retail Project

    Capstone

    5 Weeks

      Specialisation

      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
      benefits

      Learning Support

      Learning Support
      Industry Mentors
      • Receive unparalleled guidance from industry mentors with International experience
      • Receive one-on-one feedback on submissions and personalized feedback on improvement from experts, teaching assistants and graders
      Student Support
      • Student Support available all day for your convenience (24*7).
      • For urgent queries, use the Call Back option on the platform.
      benefits

      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
      benefits

      Networking

      Networking
      Industry Networking
      • Live sessions by Global industry experts on various industry-related topics
      • One-one small group discussion and guidance sessions with Internationally-acclaimed experts

      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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      *This price applies for payment in installments. An exclusive upGrad scholarship applicable for upfront payments..
      Start Referring

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

      *More details under the referral policy under Support Section

      Empowering learners of tomorrow

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

      Student Reviews

      Frequently Asked Questions

      Course Curriculum

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

      The Executive PG Program 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 Program in Data Science?

      The program 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 program 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

      Data Science Generalist: Advanced Machine learning & Storytelling, Advanced Programming & Databases

      Deep Learning Specialization: Advanced Machine Learning, Neural Networks

      NLP Specialization: Advanced Machine Learning, Natural Language Processing

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

      Business Analytics: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving

      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 program?

      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 program 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 www.upgrad.com 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 USD 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.

      Disclaimer

      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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