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
Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.
Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it
Learn how Predictive Analytics can be used to decide the creditworthiness of customers and whether they are issued a credit card or not
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.
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.
Learn how Google speech-to-text works and make your own model using deep learning.
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.
Learners will build a gesture recognition model for a Smart-TV to recognize 5 hand gestures, using a 3D Convolution Network.
What if you could predict the popularity of a brand like upGrad in India?
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.
Help a retail-giant to have a clear idea of how their sales will look like in the future.
Research and analyse data from a marketing campaign to gain valuable insights and determine the ‘yays’ and ‘nays’ of the campaign.
There are 3 simple steps in the Admission Process which is detailed below:
Complete your application to take the 17-minute online eligibility test with 11 questions to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.
Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission to the Executive PG Program in Data Science.
Confirm your seat by enrolling into the program and making the initial caution amount payment. Begin your preparatory course & start your career in Data Science.
*More details under the referral policy under Support Section
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
The Executive PG Programme in Data Science is an engaging yet rigorous ---month online programme 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.
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.
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.
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
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
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.
Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore.
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 six tracks, you will be prompted to choose your specialization.
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.
- Data Science Generalist: Early Stage Professionals (0-5 yrs Exp) planning to upscale in Data Science
- Deep Learning: Engineers, Software and IT Professionals
- Natural Language Processing: Engineers, Software and IT Professionals
- Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers
- Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert
- Data Engineering: Software and IT Professionals
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.
At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.
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.
Access to Opportunities: Profiles of students will be circulated in upGrad's and IIITB's network of companies. For learners with 5+ years of experience, it becomes more difficult to convert these opportunities than others. For them, it's more about how to inculcate data-driven leadership in the current job and plan a transition into Data analytics or Data Science in the medium-to-long run.
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: (Programs with/without prep-session component)
Deferral Policy: (Post Program Commencement)
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.
You can start the application process by submitting the application. Applications have already started for the next cohort.
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:
To be eligible for the program, the following criteria need to be fulfilled: