Choose from 3 specializations
- Business Intelligence/Data Analytics
- Data Engineering
Experience 500+ hours of 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 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 Predictive Analytics can be used to decide the creditworthiness of customers and whether they are issued a credit card or not
Learn how Google speech-to-text works and make your own model.
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.
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 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
Confirm your seat by enrolling into the program and making the initial block 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 Master's degree is an engaging yet rigorous 20-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 12-15 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 six 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 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 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
Post successful completion of the program, a certificate in Master's degree from LJMU would be granted.
The program 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 3 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 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
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.
upGrad, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program 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 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:
To be eligible for the program, the following criteria need to be fulfilled:
Refund Policy: (Programs with/without prep-session component)
Deferral Policy: (Post Program Commencement)
Deferral Policy: (Pre- Program Commencement)