India's best selling program with a 4.5 star rating. Learn in-demand skills to kick-start your data science career with the widely recognised PG Diploma in Data Science by IIIT-B & upGrad

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Format

-- months

Duration Recommended 12-15 hrs/week

12,600+

Students Enrolled

300+

Hiring Partners

Program Overview

Key Highlights

Designed for Working Professionals

60+ Industry Case Studies & Projects

5 Unique Specialisations

IIIT Bangalore Alumni Status

Job Assistance with Top Firms

5 Unique Specializations to choose from as per your background and career aspirations: Natural Language Processing, Deep Learning, Business Analytics, Business Intelligence/ Data Analytics, Data Engineering

Career Impact

Syllabus

Best-in-class content by leading faculty & industry experts in the form of videos, industry projects, assignments & live sessions

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Programming Languages and Tools

Post Graduate Diploma from IIIT Bangalore

Complete all courses successfully to obtain this prestigious recognition from IIIT-B with one of 5 specialisations.

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Attain the widely recognised & valued PG Diploma from IIIT-B
Gain the prestigious alumni status of IIIT-B
Network with data science experts across industries & upGrad alumni

Top Skills You Will Learn

Predictive Analytics using Python, Machine Learning, Advanceview more

What You Can Become

Data Analyst, Data Scientist, Data Engineer, Machine Learninview more

Who This Program Is For

Engineers, Marketing & Sales Professionals, Freshers, Domainview more

Minimum Eligibility

Bachelor’s degree, no coding experience required

Empowering learners of tomorrow

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

Our Hiring Partners

Opening the doors to the best in the industry such as:

Instructors

Learn from India’s leading Data Science faculty & industry experts

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 over 10 years of experience in several multinational organisations

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.

Sameer Dhanrajani

Chief Strategy Officer

An AI and Analytics Evangelist for Fortune 500 companies who has won several industry awards in the field of analytics

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.

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.

Ankit Jain

Sr. Research Scientist

An alumnus of IIT Bombay, Berkeley & Harvard Business School with over 9 years of experience

Dinesh Babu Jayagopi

Asst. Professor

Prof. Dinesh has a Ph.D. from Ecole Polytechnic Federate Switzerland, M.Sc. from IISc Bangalore in System Science and Signal Processing and B.Tech. from Madras Institute of Technology.

Kalpana Subbaramappa

Ex-AVP

Kalpana is the ex-AVP of Decision Sciences at Genpact with an experience of over 20 years.

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)

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

Expert Coaching Sessions

20+

Live Learning Sessions

Preparatory Course

4 Weeks

Data Analysis in Excel
9hr
Analytics Problem Solving
12hr
Introduction to Python
6hr
Python for Data Science
10hr

Data Toolkit

11 Weeks

2 Assignments

Data Analysis using SQL
8hr
Introduction to Python
6hr
Programming in Python
20hr
Python for Data Science
10hr
Data Visualisation in Python
6hr
IMDb Movie Assignment
8hr
Exploratory Data Analysis
10hr 30min
Inferential Statistics
9hr
Hypothesis Testing
10hr
Credit EDA Case Study
9hr

Machine Learning

9 Weeks

3 Assignments

Introduction to Machine Learning and Linear Regression
14hr
Assignment: Linear Regression
6hr
Logistic Regression
9hr
Unsupervised Learning: Clustering
8hr 30min
Business Problem Solving
15hr
Assignment: Unsupervised + Supervised
8hr
Lead Scoring Case Study
10hr

Specialization 1: Deep Learning

19 Weeks

4 Assignments

Advanced Machine Learning
90hr
Deep Learning and Neural Networks
97hr

Specialization 2: Natural Language Processing

19 Weeks

4 Assignments

Advanced Machine Learning
90hr
Natural Language Processing
80hr

Specialization 3: Business Intelligence/Data Analytics

19 Weeks

4 Assignments

SQL and NoSQL Databases
71hr
Storytelling with Advanced Visualization
91hr

Specialization 4: Business Analytics

19 Weeks

4 Assignments

Advanced Machine Learning
64hr 30min
Business Requirements
97hr 30min

Specialization 5: Data Engineering

19 Weeks

4 Assignment

Data Engineering - I
107hr
Data Engineering - II
111hr

Capstone

6 Weeks

1 Assignments

Capstone Project
58hr 20min

Specialisations

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

Topics Covered

Deep Learning

19 Weeks

4 Assignments

Tree ModelsModel Selection & General ML TechniquesBagging and BoostingAdvanced RegressionAdvanced Regression AssignmentPrincipal Component AnalysisTime Series AnalysisTelecom Churn Case StudyIntroduction to Neural NetworksNeural Networks AssignmentConvolutional Neural Networks - Introduction and Industry ApplicationsRecurrent Neural NetworksGesture Recognition

Tools

Project

Capstone Project

Choose from a range of real-world industry woven projects on advanced topics like Recommendation Systems, Fraud Detection, Emotion Detection from faces, Social Media Listening, Speech Recognition among many others.

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Industry Projects

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

Collaborative projects with peers
In-person learning with expert mentors
Personalised feedback to facilitate improvement

IMDb Movie Analysis

Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.

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Uber Supply-Demand Gap

Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it.

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Creditworthiness of Customers

Learn how Predictive Analytics can be used to decide the creditworthiness of customers and whether they are issued a credit card or not

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Lead Scoring

Learn how the knowledge of basic machine learning algorithms can be used to determine leads that are potentially convertible and save your Sales team time, money, and resources.

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Fraud Detection

Decline fraud transactions on a credit card in real-time to minimize the losses so that customers are not charged for items that they did not purchase.

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Speech Recognition

Learn how Google speech-to-text works and make your own model.

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Image Captioning

Build a model which will caption a given image and describe it in sentences in a detailed way like objects present, the actions they are doing, etc.

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Gesture Recognition

Learners will build a gesture recognition model for a Smart-TV to recognize 5 hand gestures, using a 3D Convolution Network.

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Social Media Listening

What if you could predict the popularity of a brand like upGrad in India?

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Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them.

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Retail-Giant Sales Forecasting

Help a retail-giant to have a clear idea of how their sales will look like in the future.

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Interactive Marketing Campaign Analysis

Research and analyse data from a marketing campaign to gain valuable insights and determine the ‘yays’ and ‘nays’ of the campaign.

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The upGrad Advantage

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

Regular 1-on-1 interaction with Industry Experts

Discussions on career growth and industry expectations
Feedback on project work and assignments

Dedicated Student Success Mentors

Help in learning plans ensuring consistent progress
Resolve non-academic queries for smooth learning experience

Doubt Resolution on Q&A Forums & WhatsApp Groups

Timely doubt resolution by qualified teachers
Regular live Q&A sessions with experts

Networking with Industry Experts & Peers

Live sessions by industry experts on relevant topics
Interaction with experts and peers in online and offline events translating into new job opportunities

Job Placement Assistance

Personalised resume building exercise
Mock interviews with our hiring experts
Job Interviews with 300+ hiring partners

Career Transition Handbook

Learn more about our successful career transitions in Data

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Student Reviews

Vibhor Srivastava

Deputy Manager, ICICI Bank4.5 years experience

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.

Detailed Review

Rutuja Mowade

Analyst, Nice4 years experience

It doesn’t matter what your previous working background is, as everything is taught from the basics.

Detailed Review

Anshu Srivastava

Research Assistant, Nice6 years experience

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.

Detailed Review

Gangadhar Mathyam

Data Analyst, Tech Mahindra2 years experience

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.

Detailed Review

Frequently Asked Questions

Details and Course Curriculum

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. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.

Is any certification granted at the end of the Program?

After you successfully complete the program, you will receive a PG Diploma in Data Science from IIIT Bangalore.

My current role does not involve any exposure to data. In that case, how do I know if this Program is the right fit for me?

Data Science is becoming a necessity for all industries and is no longer 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. Moreover, if you like finding meaningful insights from any data; get excited by the prospect of informing business decisions through analysis; and have an analytical bent 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.

Time Commitment

What is the time commitment required for the program?

At least 10-12 hours per week of time commitment is required to be able to successfully complete this program.

Career Prospects and Support

What type of career support is provided for 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.
Access to Opportunities: Profiles of students will be circulated in upGrad's and IIIT-B's network of companies.

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

You will have access to a peer-to-peer discussion forum, where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. There will be regular Q&A sessions with faculty to get clarification on conceptual doubts.

Selection Criteria

What is the selection process for the PG Program in Data Science?

upGrad, IIIT-B, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to ensure that learners receive the best possible learning experience in data sscience.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 greater than 300
GMAT score greater than 650
CAT score greater than 90 percentile

What is the eligibility criteria for gaining admission in the 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 a master’s degree in mathematics/statistics with 50% or equivalent passing marks.
Work experience: The applicant should preferably have at least 1-2 years of professional experience.

Refund Policy/Financials

What is the fee for the PG Program in Data Science?

The program is priced at -- inclusive of taxes.

Is there any deferral or refund policy for this program?

Refund Policy: (Programs with prep-session component)

Student must pay an amount of ₹25,000 as 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 course at any time before the cohort start date by sending an email request to your Student Mentor and Admissions Counselor with reasons listed. The prep login will be activated immediately post completion of the 'payment of the 1st block amount (caution money)' or on the 'Specified date' as communicated by upGrad. Processing fee of ₹10,000 will be levied in case refund is claimed.
Student has to pay the full fee within 15 days of payment of block amount or cohort start date, whichever is earlier, otherwise the admission letter will be rescinded and processing fee of ₹10,000 will be levied.
Once the student pays block amount, "any" refund shall be subject to deduction of ₹10,000 processing charges.
Any taxes paid by the student shall not be refundable, and the amount to be withheld will be higher of taxes paid or 10,000 processing fees.
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 from him/her in this regard.
Refund shall be subject to deduction of ₹10,000 processing charges or the GST paid, whichever is higher as mentioned above.

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.
A student can request for deferral only once and from the batch start date of initial batch the student enrolled for.
The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential program fees between the two cohorts.
The deferral request will be approved once the deferral fee is paid.
Till this 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 will expire, and the student will 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 until 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 from the batch start date of initial batch the student enrolled for.
The student has time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. Once the deferral window expires and the student now asks for a refund, the above-mentioned applicable refund policy will apply.
The fee applicable to the deferred student will be as per prevailing fee for the batch student as opted to defer to (No additional deferral fee is required to be paid).