Kick-start your Data Science journey with Globally Recognised Master's from Liverpool John Moores University .
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Intro Video
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34,500+
Students Empowered
Online
Format
18 Months
Recommended 12-15 hrs/week
Jan 30, 2021
Start Date
50+ countries
Learner Base
Learning
Syllabus
Specialisations
Projects
Benefits
Admission Process
Program Fee
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About the Program
Choose from 5 specialisations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more
5 Unique Specialisations
Choose from 5 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
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
5 Unique Specialisations to choose from - Natural Language Processing - Deep Learning - Business Analytics - Business Intelligence/ Data 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 the Director of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as 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 Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.
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.
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
11Weeks
2Assignments
Machine Learning
9Weeks
3Assignments
Specialization - Deep Learning
19Weeks
4Assignments
Specialization - Natural Language Processing
19Weeks
4Assignments
Specialization - Business Intelligence
19Weeks
4Assignments
Specialization - Business Analytics
19Weeks
4Assignments
Specialization - Data Engineering
19Weeks
4Assignments
Research Methodologies
8Weeks
Master's Dissertation
16Weeks
500+
Hours of Content
10+
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 5 specialisation, based on your interest.
Business Analytics
Deep Learning
Natural Language Processing
Business Intelligence
Data Engineering
Topics Covered
Business Analytics
19Weeks
4Assignment
Tree Models
14hr
Time Series Analysis
20hr
Retail-Giant Sales Forecasting Assignment
9hr
Model Selection & General ML Techniques
7hr 30min
Telecom Churn Case Study
14hr
Advanced SQL and Best Practices
9hr
Advanced Excel
10hr
Structured Problem Solving using Frameworks
9hr
Hypothesis Formulation
9hr
Assignment
8hr
Revenue and Operational Cost Modelling
8hr 30min
Introduction to Economics and Financial Concepts
12hr
Effective Communication Strategies, Formats, and Templates
8hr
Presentations to Technical and Non-Technical Stakeholders
8hr
Business Case Study
16hr
Capstone project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Deep Learning
19Weeks
4Assignment
Tree Models
14hr
Model Selection & General ML Techniques
7hr 30min
Bagging and Boosting
12hr
Advanced Regression
12hr
Advanced Regression Assignment
12hr 30min
Principal Component Analysis
8hr
Time Series Analysis
10hr
Telecom Churn Case Study
14hr
Introduction to Neural Networks
30hr
Neural Networks Assignment
12hr
Convolutional Neural Networks - Introduction and Industry Applications
20hr
Recurrent Neural Networks
15hr
Gesture Recognition
20hr
Capstone project
40hr
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
19Weeks
4Assignment
Tree Models
14hr
Model Selection & General ML Techniques
7hr 30min
Bagging and Boosting
12hr
Advanced Regression
12hr
Advanced Regression Assignment
12hr 30min
Principal Component Analysis
8hr
Time Series Analysis
10hr
Telecom Churn Case Study
14hr
Lexical Processing
10hr
Syntactic Processing
30hr
Syntactic Processing Assignment
10hr
Semantic Processing
10hr
Chatbot Case Study
80hr
Capstone project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Business Intelligence
19Weeks
4Assignment
Introduction to Databases
8hr
Advanced SQL and Best Practices
9hr
Schema Design and Retrieval Assignment
8hr
NoSQL Databases and Best Practices
30hr
Introduction to Cloud and Hive
12hr
SQL Case Study: Analysing Big Data in Retail
14hr
Advanced Excel
10hr
Visualisation using Tableau
16hr
Interactive Marketing Campaign Analysis
10hr
Visualisation using PowerBI
9hr
Introduction to R and RShiny
14hr
Effective Communication Strategies, Formats, and Templates
8hr
Presentations to Technical and Non-Technical Stakeholders
8hr
Business Case Study
16hr
Capstone Project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Data Engineering
19Weeks
4Assignment
Introduction to Hadoop and MapReduce Programming
12hr
Data Management and Relational Database Modelling
8hr
NoSQL Databases and Apache HBase
12hr
Data Warehousing (Optional)
8hr
Data Ingestion with Apache Sqoop and Apache Flume
12hr
Assignment (Optional)
15hr
Building and Querying Data Warehouse with Apache Hive
20hr
Case Study: Ingestion & Warehousing
20hr
Data Processing with PySpark
20hr
Real-Time Data Streaming with Apache Kafka
12hr
Real-Time Data Processing using Spark Streaming
12hr
Assignment (Optional)
15hr
Building Automated Data Pipelines with Oozie/Airflow
12hr
Analytics using PySpark
20hr
Case Study: Kafka, Spark Streaming and PySpark
20hr
Capstone Project
40hr
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 ...
Learn More
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...
Learn More
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 ...
Learn More
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...
Learn More
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 curiculum 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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