Kick-start your Data Science journey with Globally Recognised Master's from Liverpool John Moores University .
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34,500+
Students Empowered
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Format
18 Months
Recommended 12-15 hrs/week
Feb 27, 2021
Start Date
50+ countries
Learner Base
Instructors
Syllabus
Specialisations
Projects
Benefits
Admission Process
Program Fee
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Reviews
About the Program
Choose from 6 specialisations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more
6 Unique Specialisations
Choose from 6 specialisations as per your background & career aspirations. Get a PG Diploma in Data Science from IIIT-B with a specialisation.
Dedicated Career Assistance
Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers.
Personalised Mentorship
Get a dedicated student mentor with proactive support every step of the way & personalised fortnightly group (1:8) mentorship sessions with industry experts.
Program Overview
Key Highlights
Complimentary Python Programming Bootcamp
Career Essential Soft Skills Program
Only online M.Sc in DS for working professionals
500+ Hours of Learning
60+ Case Studies and Projects
Fortnightly Group Mentorship with Industry Mentors
One-on-One with Industry Mentors
Timely Doubt Resolution
Dedicated Student Success Mentor
IIIT Bangalore & LJMU Alumni Status
Build your GitHub profile
NASSCOM certified
6 Unique Specialisations to choose from - Data Science Generalist - Deep Learning - Natural Learning Processing - Business Intelligence/ Data Analytics - Business Analytics - Data Engineering
Top Skills You Will Learn
Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
Advance Your Career In
Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst
Who Is This Program 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, no coding experience required
Syllabus
Experience 500+ hours of best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
Get access to the complete digital library of LJMU to research & write your dissertation
Earn a Master's degree which is recognised by WES, at 1/10th the cost of an offline program
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Instructors
Learn from leading Data Science faculty and industry leaders
Dr. Gabriela Czanner
Faculty - Engineering and Technology
A Senior Lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support
Prof. Paulo Lisboa
Head of Dept - Applied Mathematics
Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002
Dr. Atif Waraich
Faculty - Computer Science
A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain
Prof. Dhiya Al-Jumeily
Professor - Artificial Intelligence
A Senior Member of the IEEE and a Chartered IT Professional. He is a fellow of the UK Higher Education Academy
Chandrashekar Ramanathan
Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations
Tricha Anjali
Associate Dean
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. She is currently the dean of IIIT-B
Prof. S. Sadagopan
Director
Prof. Sadagopan is currently Director of IIIT Bangalore. He has an MS and a PhD from Purdue University and a B.E.(Hons.) degree from Madras University.
Anshuman Gupta
Director, Data Science
He has a Ph.D. (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay.
Ujjyaini Mitra
Head of Data Science
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
Mirza Rahim Baig
Lead Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains
Sajan Kedia
Lead Data Scientist (Pricing)
An alumnus of IIT with over 7 years of experience working on Watson at IBM Research, Startups & Myntra
Prof. G. Srinivasaraghavan
Professor
Prof. Srinivasaraghavan has a PhD in Computer Science from IIT-K and 18 years of experience with Infosys Technologies and several other companies.
Colin Hagemeyer
Data Scientist
He is instrumental in helping companies use data to aid in decision making. His interests include applying machine learning to computer vision.
Behzad Almadi
Data Scientist
Along with extensive experience in Machine Learning and Neural Networks, he has been an Adjunct Professor at Northeastern University and New Jersey Institute of Technology.
S. Anand
CEO
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
Bijoy Kumar Khandelwal
Chief Operating Officer
Bijoy comes with a deep understanding of the private and cloud architectures and has helped numerous companies make the transition.
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
Pre-Program Preparatory Content
4Weeks
Data Toolkit
14Weeks
2Assignments
Machine Learning
9Weeks
3Assignments
Specialisation- Data Science Generalist
22Weeks
5Assignments
Specialisation- Deep Learning
25Weeks
4Assignments
Specialisation- Natural Language Processing
25Weeks
4Assignments
Specialisation- Business Intelligence/Data Analytics
25Weeks
9Assignments
Specialisation- Business Analytics
25Weeks
9Assignments
Specialisation- Data Engineering
27Weeks
11Assignments
Research Methodologies
8Weeks
Master's Dissertation
16Weeks
500+
Hours of Content
60+
Case Studies and Projects
20+
Live Sessions
25
1:8 Coaching Sessions with Industry Experts
14+
Tools and Software
Specialisations
You can choose one of the 6 specialisation, based on your interest.
Data Science Generalist
Deep Learning
Natural Language Processing
Business Intelligence/Data Analytics
Business Analytics
Data Engineering
Topics Covered
Data Science Generalist
22Weeks
5Assignments
Tree Models + Boosting (Optional)
Model Selection & General ML Techniques
ML Lab I: Classification
Principal Component Analysis
Advanced Regression - I
Advanced Regression - II & ML Lab II: Regression
Text Analytics & Processing + Text-Based Predictive Modelling
Basic Visualisation using Tableau
Data Storytelling
Business Case Study
Data Modelling
SQL Weeklong Lab
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
Tools Covered
Project
Capstone Project
Solve an end-to-end real-life industry problem from a wide variety of domain...
Learn More
Topics Covered
Deep Learning
25Weeks
4Assignment
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
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Natural Language Processing
25Weeks
4Assignment
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
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Business Intelligence/Data Analytics
25Weeks
9Assignment
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
Visualisation using PowerBI
Visualisation using Plotly
Data Storytelling
Plotly Case Study
Capstone Project
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Business Analytics
25Weeks
9Assignment
Tree Models
Time Series Analysis
Retail-Giant Sales Forecasting Assignment
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
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Data Engineering
27Weeks
11Assignment
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 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
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
Engage in collaborative projects with student-mentor interaction
Benefit by learning in-person with expert mentors
Personalised subjective feedback on your submissions to facilitate improvement
Uber Supply-Demand Gap
Use analytics to identify why Uber sometimes faces a supply-demand challenge...
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Creditworthiness of Customers
Learn how Predictive Analytics can be used to decide the creditworthiness of...
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Speech Recognition
Learn how Google speech-to-text works and make your own model.
Learn More
Image Captioning
Build a model which will caption a given image and describe it in sentences ...
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Social Media Listening
What if you could predict the popularity of a brand like upGrad in India?
Learn More
Telecom Churn
Telecom companies often face the problem of churning customers due to the co...
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IMDb Movie Analysis
Analyze movie data from the past hundred years and find out various insights...
Learn More
Lead Scoring
Learn how the knowledge of basic machine learning algorithms can be used to ...
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Fraud Detection
Decline fraud transactions on a credit card in real-time to minimize the los...
Learn More
Retail-Giant Sales Forecasting
Help a retail-giant to have a clear idea of how their sales will look like i...
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Interactive Marketing Campaign Analysis
Research and analyse data from a marketing campaign to gain valuable insight...
Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
Receive unparalleled guidance from industry mentors, teaching assistants and graders
Receive one-on-one feedback on submissions and personalised feedback on improvement
Student Success Mentors
A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
Success Mentors are your single points of contact for all your non-academic queries
Q&A Forum
Timely doubt resolution by peers and Teaching Assistants on the Q&A forum
Personalised feedback on assignments and case studies
Expert Feedback
Personalised expert feedback on assignments and projects
Regular live sessions by experts to clarify concept-related doubts
Industry Networking
Live sessions by experts on various industry topics
Group discussions
One-on-one discussions and feedback sessions with industry mentors
Admission Process
There are 3 simple steps in the Admission Process which is detailed below:
Step 1: Take the Online Eligibility Test
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.
Step 2: 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 PG Diploma in Data Science and Master in Data Science from L.J.M.U
Step 3: Block your Seat & Begin the Prep Course
Block your seat with a block payment of USD 200 to enrol into the program. Begin with your Prep course and start your Data Science journey!
Program Fee
USD 7499
Get a chance to earn a fee waiver basis your test score and relevance of work experience! Write to international.admissions@upgrad.com or request a call back to know more.
Empowering learners of tomorrow
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
How You Benefit From This Program
M.Sc & Post Graduate Diploma without quitting your job
Cutting-edge curriculum designed by industry experts
Alumni status from IIIT Bangalore & LJMU
Upskill yourself with 500+ learning hours
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni
Student Reviews
Greenu Sharma
16 Years ExperienceDirector,ImageVision
"I was not very much convinced with the quality of learning imparted through the various part-time online courses. But the need for up-skilling was inevitable for me to sustain and grow in my career. Due to my professional as well as personal commitments, the only option was to take my learning and profession go hand in hand. With the support of up-Grad, I have witnessed an exciting journey for the past 2 years upskilling myself with the latest technology and gaining my Masters in Data Science."
Pradnya Paithankar
27 Years ExperienceFreelance Trainer and Consultant,
"With a career spanning over 25 years, I took the plunge to become future ready with the Master’s degree program in Data Science from LJMU and upGrad. Since I have worked in the IT industry for most of my career but did my graduation in Mechanical Engineering, I was unable to find the right fit for a Master's program till I discovered upGrad. upGrad made my dream of pursuing a Master's come true."
Maxim Rohit
12 Years ExperienceData Scientist,Radamatic Solutions Pvt Ltd
"Upgrad as expected was always there to support- From the Student mentor to the Thesis supervisor, both were having discussion with me at the oddest of hour ensuring I was never at a standstill. The SME sessions and the sessions with professors from LJMU always helped with new perspectives. As I look back, the otherwise hectic journey of upskilling was a smooth one."
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