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INTRO VIDEO
3 Unique Specializations to choose from
- Deep Learning
- Business Intelligence/ Data Analytics
- Data Engineering
Experience 500+ hours of best-in-class, engaging content by leading university faculty and industry experts in the form of videos, cases, projects, quizzes, animations.
IT Product Based Companies / E-commerce
IT Product Based Companies / E-commerce
IT Product Based Companies / E-commerce
IT Product Based Companies / E-commerce
IT Product Based Companies / E-commerce
IT Product Based Companies / E-commerce
IT Based Product Company / E-commerce
Hospitality Services
Real Estate / Housing
Sports
Social Media
Healthcare / Medical
Healthcare / Medical
Finance / Banking
Finance / Banking
Telecom
Telesales, B2B Sales
Bike / Car Aggregator
Retail
Retail / Ecommerce
Movies
Finance / Banking
Non-industry specific
Tech
Tech
Industry of your Interest
Deep Learning
Data Analytics
Data Engineering
There are 3 simple steps in the Admission Process which is detailed below:
Complete your application to take the 17 minute online eligibility test 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 PGP in Data Science and Master in Data Science from L.J.M.U
Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!
*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 Master's degree is an engaging yet rigorous 20-month blended 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 3 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do two specialization courses 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 three 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
Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing
Data Analytics / Business Intelligence: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization
This would be followed by 6 months Masters articulation from LJMU which would consist of Research Methodology and Masters Thesis under the supervision of subject matter expert.
Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.
The program has ~23 weeks of common curriculum and ~29 weeks of specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all three 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
Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers
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 15 hours per week of time commitment is expected to be able to graduate from the program.
Each of the three specialisations 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
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.
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 few 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 PGP in Data Science and Master in Data Science from L.J.M.U
Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!
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.
No coding experience required.