Master of Science in Data Science
Kick-start your Data Science journey with Globally Recognized Masters from Liverpool John Moore’s University. Start your Masters’s Journey today at Rs. 13,825 per month. Watch INTRO VIDEO
40,000+
Learners
Online
Format
18 months
Recommended 12-15 hrs/week
Jun 30, 2021
Start Date
300+
Hiring Partners
EMI Options
Starts at Rs. 7,992/month*
About the Programme
Choose from 6 specializations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more
6 Unique Specialisations
Choose from 6 specializations as per your background & career aspirations. Get an Executive PG Programme in Data Science from IIITB with a specialization.
Dedicated Career Assistance
Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.
Student Support
Student support available 09 AM to 09 PM IST via email or use the Call Back option on the platform to get a response within 2 working hours.
Program Overview
Key Highlights
Complimentary Python Programming Bootcamp
Only online M.Sc in DS for working professionals
60+ Case Studies and Projects
One-on-One with Industry Mentors
Support available all days 9 AM - 9 PM IST for queries
Global access to job opportunities
NASSCOM certificate
Career Essential Soft Skills Program
500+ Hours of Learning
Fortnightly Group Mentorship with Industry Mentors
Timely Doubt Resolution
IIIT Bangalore & LJMU Alumni Status
No Cost EMI Option
Top Skills You Will Learn
Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
Job Opportunities
Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst
Who Is This Programme For?
Any specialization can be chosen regardless of background. The program caters to: Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals
Minimum Eligibility
Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Programming Languages and Tools Covered
Specialization
Post Course 2 (Machine Learning), choose any one of the below 6 specialisations as per your background and career aspirations
- Data Science Generalist
- Natural Language Processing
- Deep Learning
- Business Analytics
- Business Intelligence/ Data Analytics
- Data Engineering
- Tree Models + Boosting (Optional)
- Model Selection & General ML Techniques
- ML Lab I: Classification
- Principal Component Analysis
- Advanced Regression – I
- Advanced Regression – II and ML Lab II: Regression
- Text Analytics & Processing + Text-
- Based Predictive Modelling
- Basic Visualisation using Tableau
- Data Storytelling
- Data Modelling
- Advanced SQL – Week II
- Algorithm Analysis + Recursion
- Searching and Sorting (Divide and Conquer included)
- Data Structures – Sets, Dictionaries,
- Stacks, Queues
- Python – OOPS
- Python Weeklong Lab
- Capstone Project
- Tree Models
- Model Selection & General ML Techniques
- Principal Component Analysis
- Advanced Regression
- Advanced Regression Assignment
- Bagging and Boosting
- Time Series Analysis
- Telecom Churn Case Study
Text Processing - Feature Extraction & modelling
- Assignment – Natural Language Processing
- Intro to DL
- NLP Industrial Applications
- Chatbot Case Study
- Capstone Project
- Tree Models
- Model Selection & General ML Techniques
- Principal Component Analysis
- Advanced Regression
- Advanced Regression Assignment
- Bagging and Boosting
- Time Series Analysis
- Telecom Churn Case Study
- Introduction to Neural Networks
- Neural Networks Assignment
Convolutional Neural Networks – - Introduction and Industry Applications
- Recurrent Neural Networks
- Gesture Recognition
- Capstone Project
- Tree Models
- Time Series Forecasting
- Retail-Giant Sales Forecasting Assignment
- Model Selection & General ML Techniques
- SQL Best Practices
- Advanced Excel
- Telecom Churn Case Study
- Structured Problem Solving using Frameworks
- Structured Problem Solving Assignment
- Operations Research
- Data Storytelling
- Operations Research Case Study
- Capstone Project
- Data Modelling
- SQL Best Practices
- SQL Assignment: IMDb Movies
Advanced Excel - NoSQL Databases and Best Practices
- Introduction to Big Data and Cloud
- Hive and Querying
- Hive Case Study
- Visualisation using Tableau
- Sports Analytics – IPL Visualisation Assignment
- Visualization using PowerBI
- Visualization using Plotly
- Data Storytelling
- Plotly Case Study
- Capstone Project
- Introduction to Big Data(Optional)
- Introduction to Cloud and AWS Setup
- Introduction to Hadoop and
- MapReduce Programming
- MapReduce Programming
- Assignment (optional)
- Data Management and Relational
- Database Modelling
- NoSQL Databases and Apache HBase and NoSQL Databases and
- MongoDB(Optional)
- Data Warehousing (Optional)
- Data Ingestion with Apache Sqoop and Apache Flume
- Hive & Querying
- Hive Assignment (optional)
- Amazon Redshift
- Introduction to Apache Spark
- NYC Parking Assignment (Optional)
Project: ETL Data Pipline - Optimising Spark for Large Scale Data Processing
- Apache Flink(Optional)
Real-Time Data Streaming with - Apache Kafka
Real-Time Data Processing using - Spark Streaming
Stock data Analysis Assignment (Optional) - Building Automated Data Pipelines with Airflow
- Analytics using PySpark
Classification Assignment (Optional) - Project: Real Time data processing
Capstone Project
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
Learning Support
More Info
Doubt Resolution
More Info
Networking
More Info
Industry Mentors
- Receive unparalleled guidance from industry mentors, teaching assistants, and graders
- Receive one-on-one feedback on submissions and personalized feedbacks on improvement
Student Support
- Available all days 9 AM – 9 PM IST.
- For urgent queries, use the Call Back option on the platform.
Q&A Forum
- Timely doubt resolution by Industry experts and peers
- 100% Expert-verified responses to ensure quality learning
Expert Feedback
- Personalized expert feedback on assignments and projects
- Regular live sessions by experts to clarify concept related doubts
upGrad BaseCamp
- Fun-packed, informative, and career building workshops Sessions by industry professionals and professors
- Group activities with your peers and alumni
Industry Networking
- Live sessions by experts on various industry topics
- One-on-one discussion and feedback sessions with industry mentors
Admission Process
Take the Online Eligibility Test
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 programme.
Get Shortlisted & Receive your Offer Letter
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 Programme in Data Science and Master in Data Science from L.J.M.U
Block your Seat & Begin the Prep Course
Block your seat with a payment of INR 25,000 to enroll into the program. Begin with your Prep course and start your Data Science journey!
Programme Fee – Indian Residents
Rs. 4,99,000 (incl. taxes)
Starting at Rs. 13,825/month. No cost EMI options available
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni
Student Reviews
upGrad’s professional approach to education was encouraging as well as refreshing in these times. Never felt like I missed real physical classes.
upGrad has groomed me not only with the course content but also with additional efforts they you industry ready. It was a wonderful experience and it is something that made my career.
Learning with IIITB and upGrad has been an amazing journey. The deadline keeps you on your toes and makes you very disciplined and well organized. I would like to thank my team member and upGrad student mentor for constant support.
Frequently Asked Questions
What is the Master's in Data Science with upGrad?
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.
What should I expect from the Master's Degree in Data Science?
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.
What should I NOT expect from the Master's Degree in Data Science?
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.
Which topics are going to be covered as part of the program?
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
What type of learning experience should I expect?
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. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.
For queries, feedback & assistance
upGrad Learner Support
Disclaimer:
upGrad is India’s largest online higher education company, as per monthly visit data and total visits data for the last 28 days received from similarweb, as on April 13, 2020. Deakin University CRICOS Provider Code 00113B.