Executive PG Program in Data Science from IIIT-Bangalore

The Executive Post Graduate Programme is an engaging, yet rigorous 12 months 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 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 five 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 5 specializations and a capstone project, in the remaining 6-7 months. 

The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the programme 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. 

Post successful completion of the programme, an Executive Post Graduate Programme in Data Science would be granted from IIIT Bangalore. 

The programme has ~22 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 five 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. 

• 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 

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

Each of the five 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. 

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. 

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

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 programme 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 programme is meant for you. 

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. 

There are 4 simple steps in the Admission Process which is detailed below:

STEP-1 - Fill out the Application Form 

Fill out an application giving your basic profile details.

STEP-2 - Selection Test 

Give a short 17 minute test which has 11 reasoning, aptitude & HSC level questions out of which it is important to get at least 6 right in order to get shortlisted. Test Exemption Criteria - GRE score is greater than 300. GMAT score is greater than 650. CAT score is greater than the 90 percentile. GATE score is greater than 500.

STEP-3 - Shortlisting & Block Payment to Reserve Seat 

University will shortlist the basis profile & test scores. Receive offer letter and proceed with block amount INR 25,000/-

STEP-4 - Payment 

Balance to be closed within 7 days or batch start date whichever is sooner.

upGrad, IIITB, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this programme 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 programme 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 

Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience is required. 

There are 3 different refund policies for the program: 

• Refund Policy: (Programmes with prep-session component 
• Deferral Policy: (Pre- Programme Commencement) 
• Deferral Policy: (Post Programme Commencement)

For more details on the refund policy that applies to you, kindly check the upGrad course page for the same. 

No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank and State Bank of India).