Choose from 5 specialisations as per your background & career aspirations. Get a Executive PG Programme in Data Science from IIITB with a specialisation.
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5 Unique Specializations to choose from
- Deep Learning
- Natural Learning Processing
- Business Intelligence/ Data Analytics
- Business Analytics
- Data Engineering
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Check out this preview featuring one of India’s Top Data scientists, S Anand. Watch as he explains the degenerative technique of data analysis that’s used to generate newer insights, even while working with a smaller dataset.
Analyse movie data from the past hundred years and find out various insights to determine what makes a movie do well.
Solve a real industry problem through the concepts learnt in exploratory data analysis
Build a model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue
Help the sales team of your company identify which leads are worth pursuing through this classification case study
Apply the machine learning concepts learnt to help an international NGO cluster countries to determine their overall development and plan for lagging countries.
Telecom companies often face the problem of churning customers due to the competitive nature of the industry.
Build a machine learning model to identify fraudulent credit card transactions
Forecasting the sales on the time series data of a global store
In this assignment, you will work on a movies dataset using SQL to extract exciting insights.
In this assignment, you will apply your Hive and Hadoop learnings on an E-commerce company dataset.
This is an ETL project which will cover the topics like Apache Sqoop, Apache Spark and Apache Redshift
This assignment will test the learners understanding of the previous 2 modules on structured problem solving 1 and 2
With the IPL season commencing, let's go ahead and do an exciting assignment on sports analytics in Tableau.
Build a regularized regression model to understand the most important variables to predict the house prices in Australia.
Analyse the dataset of parking tickets
Practice MapReduce Programming on a Big Dataset.
In this module, you will solve an industry case study using optimisation techniques
This module will contain practice assignment & all resources related to a classification based problem statement.
There are 4 simple steps in the Admission Process which is detailed below:
Fill out an application giving your basic profile details
Give a short 17 minutes test which has 11 reasoning, apptitude & HSC level questions out of which it is important to get atleast 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 90 percentile GATE score is greater than 500
University will shortlist basis profile & test scores. Receive offer letter and proceed with block amount INR 25,000/-
Balance to be closed within 7 days or batch start date whichever is sooner
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
*Referral offer is valid only on the Master's of Science in Data Science program.
The Master's degree is an engaging yet rigorous 18-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 LJMU.
The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.
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 five tracks. These six tracks will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do one specialization course 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
Natural Language Processing Specialization: Advanced Machine Learning, Natural Language Processing
Business Analytics: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving
Business Intelligence/Data Analytics: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization
Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming and Processing
Post successful completion of the program, a certificate in Executive PG Programme in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.
The program has 22 weeks of common curriculum and 22 weeks of the specialization and capstone project. Once you’re through the 21 weeks of curriculum common to all the five tracks, you will be prompted to choose your specialisation.
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 specialisation 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
No. You can choose whatever specialisation 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 15 hours per week of time commitment is expected to be able to graduate from the program.
Each of the five specializations will have a common 22-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 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.
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).
If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI.
Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged will be billed in the first repayment installment.
Only the Indian bank Credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank.
Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter.
You can pay the amount using the Credit card option in one shot / part payments and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions.
There are 4 simple steps in the Admission Process which is detailed below:
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:
Bachelor’s Degree with minimum 50% or equivalent passing marks, and successful completion of the Executive PG Program in Data Science from IIITB. No coding experience required.