WES Recognised

Master of Science in Data Science

Kick-start your Data Science journey with Globally Recognised Master's from Liverpool John Moores University .

Type

Masters
Start Date

May 31, 2024
Duration

20 Months

dWeb_550X572_DS LJMU-fd61131879c840139975fd3fdd0b3700

Liverpool John Moores University

Recognised Masters Degree by WES &
Institute of Analytics (IOA)

About LJMU's Masters In Data Science Program

Course Snapshot

5
Unique Specializations
14+
Tools & Languages
25+
Industry Case Studies & Capstone Project

Complimentary Python Programming Bootcamp
WES recognised Masters Degree in Data Science
Fortnightly Group Mentorship Sessions with Industry Experts
IIIT Bangalore & LJMU Alumni Status
Dedicated Career Assistance

Key Highlights Of LJMU's MS In Data Science

What is this course about?

Key Highlights

6 Months - Masters Project / Thesis
Career Essential Soft Skills
World Class Faculty from IIITB and LJMU
85% Recorded + 15% Live Sessions
Weekly Live Sessions with Industry Experts & Faculty
Dual Alumni Status - IIITB and LJMU
Career Coaching & Mentoring Sessions
Global Networking Opportunities
1 week LJMU on campus visit**

5 Unique Specializations to choose from

Data Analytics
Business Analytics
Deep Learning
Natural Language Processing
Data Engineering

Top Subjects You Will Learn

Statistics, Predictive Analytics, Exploratory Data Analysis
Machine Learning, Deep Learning
Data Visualization, Big Data Analytics, Data Engineering
Python, Tableau, MySQL, Advanced Excel etc.

Job Opportunity

Data Analyst, Sr. Data Analyst, Data Scientist, Sr. Data Scientist
Product Analyst, Business Analyst, Finance Analyst, Operations Analyst, Marketing Analyst, Risk Analyst, HR Analyst, Data Driven Managers
Data Engineer, Machine Learning Engineer

Student Support

A dedicated program coordinator
24/7 support to answer all your queries! intstudentsupport@upgrad.com
Centralised WhatsApp channels for queries

Programming Languages and Tools Covered

About LJMU's Master's In Data Science Program

Explore Free Courses on Management

Build your foundation in the hottest industry of the 21st century

5 Unique Specializations

Choose any one of 5 in-demand specialisations to pursue as per your career aspirations in this Master of Science in Data Science Program form Liverpool John Moores University.

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Dedicated Career Assistance

Be one step ahead with access to 1:1 career counseling sessions and mock interviews with hiring managers.

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Student Support

Get access to dedicated student support by writing to us at studentsupport@upgrad.com or by using the "talk to us" option on our learning platform for urgent queries.

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Master's Degree Certificate In Data Science, LJMU

Earn valuable Credentials & Recognition

Finish your course to obtain a WES recognised MS in Data Science degree from Liverpool John Moores University

Master of Science in Data Science

Earn a Master's Degree from LJMU

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.

Get access to the complete digital library of LJMU to research & write your dissertation
Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program

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LJMU's MS In Data Science Course Syllabus

What will you learn?

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

500+ Hours of Learning Content.

25+ Case Studies and Projects

14+ Tools & Languages

1 Industry Capstone Project

6 Months Masters Project

Course 1 - Data Toolkit

13 weeks

Topics

Introduction to Python
Programming in Python
Python for Data Science
Data Visualization in Python
Exploratory Data Analysis
Credit EDA Case Study
Inferential Statistics
Hypothesis Testing
Data Analysis using SQL
Advaced SQL & Best Practices
SQL Assignment: RSVP Movies

Course 2 - Machine Learning

10 Weeks

Topics

Linear Regression
Linear Regression Assignment
Logistic Regression
Classification using Decision Trees
Unsupervised learning: Clustering
Basics of NLP and Text Mining
Business Problem Solving
Case Study: Lead Scoring

Specialisation - Data Analytics

22 Weeks

Topics

Data Modelling
Advanced SQL Programming
Analytics at Large Scale in Spark - I
Analytics at Large Scale in Spark - II
Big Data Case Study
Basic Viz. using Tableau
Advanced Excel
Data Analysis and Visualisation in PowerBI
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
AirBnB Case Study
Data Structures and Algorithms
Searching and Sorting
Algorithm Analysis + Recursion
Python & SQL Lab

Specialisation - Business Analytics

22 Weeks

Topics

Bagging & Random Forests
Model Selection - I
Model Selection - II
Time Series Forecasting - I
Time Series Forecasting - II
Model Selection
Case Study
Basic Viz. using Tableau
Advanced Excel
Data Analysis and Visualisation in PowerBI
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
Airbnb Case Study
Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project

Specialization- Deep Learning

22 Weeks

Topics

Bagging & Random Forest
Boosting
Model Selection
Principal Component Analysis
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML case Stuy
Introduction to Neural Networks and ANN
Marketing Strategy
Backpropogation & Hyperparameter Tuning in Neural Networks
Introduction to Convolutional Neural Networks
CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
Applications of DL in CV: Object Detection Image Segmentation (Optional)
Gesture Recognition Case Study
Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project

Specialisation - Natural Language Processing

22 Weeks

Topics

Bagging & Random Forests
Boosting
Model Selection
PCA
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML
Case Study
Neural Nets for NLP
Syntactic Processing
Introduction to Semantic Processing & Distributional Semantics
Semantic Processing - Topic Modelling
Advanced DL in NLP: Attention Mechanism Automatic
Ticket Classification
Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project

Specialisation - Data Engineering

22 Weeks

Topics

Data Management and Relational Database Modelling
Introduction to Cloud and AWS Setup
Introduction to Hadoop and MapReduce Programming
NoSQL Databases and Apache HBase
Data Ingestion with Apache Sqoop and Apache Flume
Map reduce Programming Assignment
Hive and Quering + Optional Assignment
Introduction to Apache Spark+ Optional Assignment
Amazon Redshift
ETL Project
Optimizing Spark for Large scale processing
Real-Time Data Streaming with Apache Kafka
Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional)
Building Automated Data Pipelines with Airflow
Analytics using PySpark+ Optional Assignment
Retail Project

Capstone

5 Weeks

Topics

Research Methodologies

8 Weeks

Topics

Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics

Master's Dissertation

15 Weeks

Topics

Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods. Investigate a diagnosis of eye diseases using imaging ophthalmic data. Structure medical images with information geometry.
Using Social media feed to place tweets regarding natural disasters on a map. Preventing credit card fraud through pattern recognition. Developing a recommender system for a Media giant. Risk modelling for Financial activities and Investment Banking.

MS In Data Science Specialisations

Customize your Learning

You can choose one of the 5 specialization, based on your interest.

5 Specializations

14+ Industry Projects

Data Analytics

22 Weeks

Topics

Data Modelling
Advanced SQL Programming
Introduction to Cloud and AWS
Analytics at Large Scale in Spark - I
Analytics at Large Scale in Spark - II
Big Data Case Study
Basic Viz. using Tableau
Advanced Excel
Data Analysis and Visualisation in PowerBI
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
Airbnb Case Study
Data Structures and Algorithms
Searching & Sorting
Algorithm Analysis and Recursion Advanced Database Programming using Pandas
SQL & Python Lab

Business Analytics

22 Week

Topics

Bagging & Random Forests
Model Selection - I
Model Selection - II
Time Series Forecasting - I
Time Series Forecasting - II
Model Selection Case Study
Basic Viz. using Tableau
Advanced Excel
Data Analysis and Visualisation in PowerBI
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
Airbnb Case Study
Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project

Deep Learning

22 Week

Topics

Bagging & Random Forest
Boosting
Model Selection
PCA
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML Case Study
Introduction to Neural Networks and ANN
Introduction to Neural Networks and ANN
Backpropogation & Hyperparameter Tuning in Neural Networks
Introduction to Convolutional Neural Networks
CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
Applications of DL in CV: Object Detection Image Segmentation (Optional)
Gesture Recognition Case Study
Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project

Natural Language Processing

22 weeks

Topics

Bagging & Random Forests
Boosting Model Selection
PCA
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML Case Study
Neural Nets for NLP
Syntactic Processing
Introduction to Semantic Processing & Distributional Semantics
Semantic Processing - Topic Modelling
Advanced DL in NLP: Attention Mechanism
Automatic Ticket Classification
Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project

Data Engineering

22 Weeks

Topics

Data Management and Relational Database Modelling
Modelling Introduction to Cloud and AWS Setup
Introduction to Hadoop and MapReduce Programming
NoSQL Databases and Apache HBase
Data Ingestion with Apache Sqoop and Apache Flume
MapReduce Programming Assignment
Hive and Quering + Optional Assignment
Introduction to Apache Spark+ Optional Assignment
Amazon Redshift
ETL Project
Optimizing Spark for Large scale processing
Real-Time Data Streaming with Apache Kafka
Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional)
Building Automated Data Pipelines with Airflow
Analytics using PySpark+ Optional Assignment
Retail Project

Data Science Projects

Learn by Doing

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
Personalized subjective feedback on your submissions to facilitate improvement

IMDb Movie Analysis

Analyse movie data from the past 100 years and find out various insights to determine what makes a movie do well.

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Uber Supply-Demand Gap

Use analytics to understand why Uber faces demand and supply challenge and what can be done to overcome it. Use Data manipulation, visualization and EDA skills to identify the problem faced by Uber

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Gesture Recognition Smart TV

Make a Smart TV system which can control the TV with user’s hand gestures as the remote control

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Speech Recognition

Learn how Google Speech to Text works and create your own model using deep learning and Neural networks

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Spam Detector

Do you get annoyed by the constant spams in your mailbox? Learn how to build spam detector using techniques like phonetic hashing, bag-of-words, TF-IDF, etc.

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Spell Checker

Wouldn't it be nice if we had a program to check our spellings? Learn how to build a spell checker using techniques like phonetic hashing, bag-of-words, TF-IDF, etc.

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Machine Translator

Ever wondered what goes behind machine translation ? Learn how RNN helps in these areas having sequential data like text, speech, and a lot more.

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Airbnb Case Study

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.

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House Prices in Australia

Build a regularized regression model to understand the most important variables to predict the house prices in Australia.

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IPL Visualization Assignment

With the IPL season commencing, build an exciting model on sports analytics in Tableau.

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Social Media Listening

Learn how to acquire and analyse Twitter feed on a particular topic to predict and analyze how popular it is among the Twitter user-base.

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Detect Skin Cancer

Build a neural network from scratch in Tensorflow to identify the type of skin cancer from image.

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Healthcare / Medical

Detecting anomalies in chest X-Ray scans using CNN and computer vision techniques

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Credit Card Fraud Detection

Build a machine learning model to identify fraudulent credit card transactions.

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Credit EDA Case Study

Learn how Predictive Analytics can be used to decide the credit worthiness of a customer and whether he/she can be issued a credit card or not.

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Telecom Churn

Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them.

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Lead Scoring

Help the sales team of your company filter out the top leads which are worth pursuing through this classification case study on Lead Scoring.

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Bike sharing systems

Build a model to understand the factors on which the demand for bike sharing systems vary on and help the company optimize its revenue.

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Retail Giant Sales Forecasting

Help a retail giant to have a clear cut idea on how their sales will look in the future. Build a time series model to forecast the sales for the global store.

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Marketing and Retail Analytics

Research and analyse retail industry data set to gain valuable insights.

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RSVP Movies

Work on a movies dataset using SQL to extract exciting insights.

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ETL Project

Work on an ETL project which will cover the topics like Apache Sqoop, Apache Spark and Apache Redshift

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MapReduce Programming

Practice MapReduce Programming on a Big Dataset.

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NN Assignment

Build a complete neural network using Numpy and implement all the steps required to build a network - feedforward, loss computation, backpropagation, weight updates etc. The MNIST dataset will be used to train the model to classify handwritten digits between 0-9.

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Big Data Case Study

Understand how a big data project in the industry is taken up and solved through a comprehensive big data case study on cloud.

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Masters Project / Thesis

Work on a 6 months - Masters Project / Thesis in the field / industry / area of your interest.

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Deep Learning

Choose from a range of real-world industry woven projects on advanced topics like:

Recommendation Systems (IT Product based company / E-commerce)
Fraud Detection (Banking & Finance)
Emotion Detection from faces (Social Media)
Social Media Listening (Social Media)
Speech Recognition among many others (IT Product based company / E-commerce)

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Industry - Capstone Project

Choose from a range of real-world industry-woven projects on advanced topics like:

Web & Social Media Analytics
Finance and Risk Analytics Marketing and Retail Analytics Supply Chain Analytics
Credit Card Fraud Detection

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Industry - Capstone Project

In this assignment, you will work on a movies dataset using SQL to extract exciting insights about food delivery and the factors that drive a food delivery.

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Masters In Science In Data Science Instructors

Whom will you learn from?

15 Instructors

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

A Senior lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support
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LinkedIn Profile

Prof. Dhiya Al-Jumeily

Professor - Artificial Intelligence
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.

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.
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Chandrashekar Ramanathan

Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.

Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
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Debabrata Das

Director, IIITB
He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.

He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.
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Prof. G. Srinivasaraghavan

Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.

Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.
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Tricha Anjali

Ex-associate Dean
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.

Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.
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Behzad Ahmadi

Data Scientist
An M. Tech graduate and PhD holder from Jersey Institute of Technology, Behzad posses tremendous years of experience in Data Science and Machine Learning.

An M. Tech graduate and PhD holder from Jersey Institute of Technology, Behzad posses tremendous years of experience in Data Science and Machine Learning.
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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 with 20 years of experience

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 with 20 years of experience
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LinkedIn Profile

Hindol Basu

CEO
An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as Citigroup and Tata Industries

An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as Citigroup and Tata Industries
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Mirza Rahim Baig

Lead | Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
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Sajan Kedia

Lead Data Scientist (Pricing)
An alumnus of IIT with over 7 years of experience at Watson at IBM Research, startups & Myntra

An alumnus of IIT with over 7 years of experience at Watson at IBM Research, startups & Myntra
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Bijoy Kumar Khandelwal

Chief Operating Officer
Bijoy comes with a deep understanding of private and cloud architectures and has helped numerous companies make the transition.

Bijoy comes with a deep understanding of private and cloud architectures and has helped numerous companies make the transition.
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LinkedIn Profile

Ujjyaini Mitra

Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.

An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
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Ankit Jain

Sr. Research Scientist
An alumnus of IIT Bombay, UCB and Harvard Business School with over 9 years of experience

An alumnus of IIT Bombay, UCB and Harvard Business School with over 9 years of experience
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LinkedIn Profile

Data Science Program Class Profile

Master of Science in Data Science

Our program caters to professionals from diverse backgrounds, creating a vibrant classroom environment with enriching discussions and interactions.

By Industry

Information Technology and Services

38%

Banking and Financial Services

13%

Education

Healthcare

Others

37%

By Work Experience

Fresher 16 %

0-2 Years 8 %

2-5 29 %

5-8 Years 18 %

8+ Years 29 %

By Highest Qualification

GRADUATION

54%

POST_GRADUATION

30%

Intermediate

13%

Others

By Degree Type

B.E./ B.Tech 41 %

MBA 11 %

B.Sc. 7 %

B.com. 7 %

Others 30 %

By Age

34+

25%

30-34

21%

26-30

31%

22-26

19%

18-22

Others

By Gender

Male 75 %

Female 25 %

Our Learners upGrad alumni Work At

Data Science Course Learner Services

How will upGrad support you?

Access the various career development support services offered by
upGrad to help you achieve your professional goals.

Career Services

High Performance Coaching (1:1) with a dedicated career coach to build your career path
Career Webinars, where the industry leaders would guide you on job opportunities, career path in the field of Data Science
Resume and Linkedin Profile Building to enhance your career
Interview Preparation, with the help of industry experts and prep material
Access to Global Job Opportunities through our Career Center Portal
Career Essential Soft Skills sessions to do well in interview, meetings, presentations
Job Readiness Assessments to ensure our learners get job ready

Program Introduction

2 min

Learning Support

Student Support (Non-Academic queries)

Dedicated upGrad Buddy as your single POC for all queries
In addition, Student Support Team is available 7 days a week, 24*7
Email us on studentsupport@upgrad.com
OR use the "Talk to Us" option on the Learn platform

Doubt Resolution (Academic)

Live Discussion forum for peer to peer doubt resolution monitored by technical experts
1-1 Doubt solving sessions with Teaching Experts
Informal peer groups on Whatsapp or Telegram for doubt solving

Program Introduction

2 min

Networking Opportunities

Industry Networking

Global batchmates & alumni: Our learners are from 85+ countries
Networking webinars to interact with batchmates and alumni
Online discussion forums for peer to peer interaction
Learn & network with our industry experts, career coaches
Informal peer groups: Our Learners form groups on Whatsapp for interaction & networking purpose

Program Introduction

2 min

Interactive Live Sessions

Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
Lab walkthroughs of industry-driven projects and case studies
Live Sessions on Complimentary Python Boot Camp

Program Introduction

2 min

Program Fees: USD 6,500

**(Optional) 1 week LJMU campus visit at an additional USD 2000 or equivalent local currency

*Get certified by Wharton, the #1 Business School in the world for an additional $2000.

Eligibility & Admissions

How to apply for Data Science?

There are 3 simple steps in the Admission Process which is detailed below:

Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.

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.

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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 PGP in Data Science and Master in Data Science from L.J.M.U

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Block your Seat & Begin the Prep Course

Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

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Refer someone you know and receive cash reimbursements of up to
!*

*More details under the referral policy under Support Section

Start Referring *T&C Click Here

Data Science Program Success Stories

What Our Learners Say

5/5

I am in love with upGrad

I wanted a course that would complement my existing skills and I’ve always loved programming, linear regression, predictive analysis etc. Additionally, I needed a low-cost master’s degree that was 100% online and of a high level. UpGrad met all of my requirements.

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Marcelo Gonçalves Silva

Material Process Specialist, Apollo Tyres Ltd, United Kingdom

5/5

Choosing UpGrad has been a pivotal decision in my academic journey

The level of expertise, in-depth knowledge of the lectures, hands on practice session, the wider communication and interpersonal skills makes upGrad the number one choice.

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Sheel Dwivedi

Business Intelligence & Informatica Specialist, Ampega, Germany

4.8/5

You are provided with live interaction sessions on topics covered every week.

The course has helped me to understand the underlying theories of Machine and Deep Learning algorithms and made me capable of applying them effectively in my area of specialization by considering the respective algorithms' inner working principles.

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Abdul Sathar

Head - Product Development & Delivery, Computer & Systems Engineering Company, United Kingdom

4.8/5

You are provided with live interaction sessions on topics covered every week.

Learning experience was amazing because the course contents are more practical rather than just theoretical. upGrad is particularly good at Student support and motivation. You get a classroom learning experience in a completely virtual environment.

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Srinivasan CR

Vice President - Data Science & Analytics at Redington Gulf FZE, United Arab Emirates

4.8/5

You are provided with live interaction sessions on topics covered every week.

We get a lot of support by mentors and module deadlines is something that will push us to complete the program in the given time. I am working on my masters at LJMU currently and hope I will get a transition within my organisation.

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LinkedIn Profile

Prasad Chandrakant Chandra Zende

Data Scientist, Voestalpine BÖHLER Edelstahl GmbH & Co KG, Austria

4.8/5

You are provided with live interaction sessions on topics covered every week.

Thanks to upGrad, I was able to achieve my dream of completing my Masters in Data Science 20 years after completing my graduation.

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LinkedIn Profile

Vanishri Murali

Project Manager, IBM India Private Limited, United States

4.8/5

You are provided with live interaction sessions on topics covered every week.

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 make my learning and profession go hand in hand. With the support of upGrad, I have witnessed an exciting journey for the past 2 years upskilling myself with the latest technology and gaining my Masters in Data Science.

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Greenu Sharma

Director, ImageVision
16 years experience

4.8/5

You are provided with live interaction sessions on topics covered every week.

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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LinkedIn Profile

Maxim Rohit

Data Scientist, Radamatic Solutions Pvt Ltd
12 years experience

4.8/5

You are provided with live interaction sessions on topics covered every week.

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.

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Pradnya Paithankar

Freelance Trainer and Consultant
27 years experience

4.8/5

You are provided with live interaction sessions on topics covered every week.

As a working professional, upGrad felt like a convenient option. I like that it's full-time and rigorous even though it’s online. The beginning of my course was super fun, exciting and challenging. It felt like taking a walk back to my school days. The program also offers a lot of hands-on experience.

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Sundara Rajan Jeyaraj

Software Engineer, Cognizant, United States

Frequently Asked Questions

Course Curriculum

1. What is the Master's in Data Science with upGrad?

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.

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.

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.

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.

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.

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

Deep Learning: Engineers, Software and IT Professionals

Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers

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.

Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.

Please find the link to the Program Specifications of the MSDS program on the LJMU website.

1. What is the time commitment expected for the program?

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.

1. How do I know if the program is right for me?

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.

Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.

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 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.

Step 2: Get Shortlisted & Receive your Offer Letter

Step 3: Block your Seat & Begin the Prep Course

Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

There are 3 simple steps in the Admission Process which is detailed below:

Step 1: Take the Online Eligibility Test

Step 2: Get Shortlisted & Receive your Offer Letter

Step 3: Block your Seat & Begin the Prep Course

Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

upGrad, IIITB, 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:

GRE score is greater than 300
GMAT score is greater than 650
CAT score is greater than 90 percentile
GATE score is greater than 500

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:

GRE score is greater than 300
GMAT score is greater than 650
CAT score is greater than 90 percentile
GATE score is greater than 500

Bachelor’s Degree with minimum 50% or equivalent passing marks.

No coding experience required.

Bachelor’s Degree with minimum 50% or equivalent passing marks.

No coding experience required.

1. Is there any deferral or refund policy for this program?

Click here to refer to our Refund policy.

upGrad Learner Support

Monday - Friday | 9:30 am to 7:30 pm SGT.

Phone Number

+65-6232-6730

Email Address

query@upgrad.com

*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.

Disclaimer

upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

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Course Snapshot

What is this course about?

Key Highlights

5 Unique Specializations to choose from

Top Subjects You Will Learn

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Programming Languages and Tools Covered

Explore Free Courses on Management

5 Unique Specializations

Dedicated Career Assistance

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Earn valuable Credentials & Recognition

Master of Science in Data Science