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Master of Science in Data Science from Liverpool John Moores University

Get an affordable MS in Data Science online degree from the UK’s Liverpool John Moores University in only 18 months- with an Executive Diploma from IIITB.

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Liverpool John Moores University

About LJMU's Online Masters in Data Science

Online data science course snapshot

2

Variants for Each Project

60+

Real-World Case Studies

100+

Programming & GenAI Tools

Executive Diploma from IIIT Bangalore (India) and Master's in Data Science from LJMU (UK)

Complimentary Certification by Microsoft

Fortnightly mentorship sessions with industry experts for enhanced learning

Qualification recognized in the US and Canada

Personalized 1:1 coaching to maximize your potential

Daily doubt resolution support to keep you on track

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Need to know more?

Get to know MS in data science course in depth by downloading the course brochure

Why Choose an online MS in Data Science Course?

Throughout this online master's degree in data science, you’ll gain in-depth, hands-on expertise in industry-leading tools and technologies. The program is designed to help you master practical skills that are essential for solving complex business problems, building predictive models, and driving innovation across data-centric roles.

Here’s what you’ll learn:

  • Data Processing: You'll learn data handling and preprocessing techniques essential for transforming raw data into usable insights.
  • Machine Learning: Build and deploy predictive models and intelligent algorithms that power modern data products. This core module of your M.Sc. in Data Science prepares you for roles in AI, ML, and automation.
  • Big Data: Gain expertise in managing and analyzing large-scale datasets using modern big data frameworks. These skills are critical for success in data engineering and big data analytics.
  • Visualization: Create compelling dashboards and visual stories using tools like Tableau and Power BI. Learn to convert complex data into intuitive visuals that support strategic decision-making skills essential for any MS in data science course.

What tools will you learn?

Develop practical expertise in essential programming languages and tools used in top masters in data science in India programs:

  • Advanced Excel
  • SQL
  • Python
  • Tableau
  • Power BI
  • Hadoop

Optional modules provide opportunities to expand your knowledge in specialized areas.

How Our Master's in Data Science Compares

How is MS in Data Science with LJMU different?

Curriculum

Degree Recognition

Hands-on Experience

Specializations

Career Support

Live Classroom Learning

Affordability

Add-ons

LJMU (via upGrad)

Covers cutting-edge topics like Generative AI, meticulously curated to meet industry demands.

Double certification: Master’s from LJMU + Advanced Certification from IIIT Bangalore; WES-recognized. Future potential to migrate abroad.

60+ case studies and 14+ projects, simulating real-world challenges to develop practical expertise.

Choose between 2 specializations- Data Analytics and Data Engineering

Extensive 1:1 coaching and career support

Live online classes allow learners to interact with faculty and industry experts in real time.

Premium quality at an affordable price, offering tremendous ROI compared to similar global programs.

Includes group sessions, daily doubt resolution sessions, and continuous support for learners.

Other Institutes

Often designed with a theoretical focus, it may not include the latest advancements like Generative AI.

Usually offers a single certification

Fewer projects and case studies offer less exposure to industry scenarios.

Specialization options are not available, making the program one-size-fits-all.

Placement assistance and career services vary significantly, with some offering limited or inconsistent support.

Often reliant on recorded lectures, live sessions may not always be available.

International programs can be expensive, with additional costs for certifications or materials not included upfront.

Smaller in scale or limited to specific platform's community

LJMU's Master's in Data Science Course Syllabus

Learn with a world-class masters in data science syllabus

Duration

5 Weeks

Description

Explore data patterns and use statistical methods to visualise, interpret, and extract actionable insights that help drive better decision-making.

Topics Covered

  • Data Analysis with Python
  • Exploratory Data Analysis
  • Inferential Statistics and Hypothesis Testing

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Duration

5 Weeks

Description

Move your data processes to the cloud and analyse big data at scale using industry-relevant tools and cloud computing platforms.

Topics Covered

  • Cloud Computing with AWS / GCP / Microsoft Azure
  • Big Data Analysis with PySpark

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Duration

5 Weeks

Description

Understand how mathematics powers machine learning, and implement classification, regression, and clustering models to predict metrics and discover insights.

Topics Covered

  • Machine Learning Paradigms
  • Linear and Logistic Regression
  • K Nearest Neighbors
  • Regularisation and Hyperparameter Tuning
  • Decision Trees and Ensembles
  • Clustering Models

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Duration

5 Weeks

Description

Advance your ML skills by working with deep neural networks and applying machine learning and deep learning techniques in natural language processing.

Topics Covered:

  • Deep Learning Fundamentals
  • Convolutional and Recurrent Neural Networks
  • Lexical / Syntactic / Semantic Processing

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Duration

16 Weeks

Description

Specialise as a data analyst by combining advanced machine learning techniques and AI-powered tools with structured problem-solving to boost business outcomes.

Topics Covered

  • Support Vector Machines
  • Naive Bayes
  • Feature Engineering and Model Selection
  • Dimensionality Reduction
  • Time Series Analysis
  • Association Rule Mining
  • Recommendation Systems
  • Explainable AI
  • Advanced Excel and Power BI with Copilot
  • Advanced Tableau
  • Data Storytelling Principles
  • Machine Learning with PySpark
  • Fundamentals of GenAI and Prompt Engineering
  • Google Looker Studio
  • Advanced Prompt Engineering
  • Large Language Model (LLM) Frameworks such as LangChain
  • GenAI ChatBot System Design and Development
  • Data Security and Governance
  • AI Ethics and LLM Security
  • Requirements Gathering and Guesstimates
  • Business Problem Solving and Project Management
  • Data Science Applications in Finance and Ecommerce

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Duration

16 Weeks

Description

Specialise as a data engineer by building and maintaining large-scale data pipelines using both traditional systems and modern cloud-native technologies.

Topics Covered

  • Distributed Data Processing with Hadoop Framework
  • Data Ingestion with Sqoop/Flume and HBase Data Querying with Hive
  • Cloud Native SQL Databases such as Amazon Aurora, Google Spanner, and Azure SQL
  • Cloud Native NoSQL Databases such as Amazon DynamoDB, Google BigTable, and Azure Cosmos DB
  • Linux and Java Programming
  • Datawarehousing and Cloud Data Warehousing
  • Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics
  • Understanding ETL and ELT Pipelines
  • Advanced Data Modeling Concepts and Techniques
  • End-to-End Data Pipelining Fundamentals
  • Pipeline Automation with AWS Lambda, GCP Functions, and Azure Automation
  • Data Monitoring with Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor
  • Feature Stores and Vector Databases
  • Real-Time Processing with Flink and Kafka
  • Real-Time Analytics with Spark Streaming
  • Real-Time Analytics with Amazon Kinesis, Google Cloud Pub/Sub and DataFlow, Azure Stream Analytics and Event Hub
  • Multicloud and Hybrid Cloud Operating Principles
  • Scala
  • Data Build Tool (DBT)
  • Azure Data Factory
  • Modern NoSQL Databases
  • Infrastructure as Code (IaC) with Terraform
  • Data Architecting Principles
  • Data Security and Governance
  • Decentralized Governance and Data Mesh

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Research Methodologies

This course aims to equip students with the foundational knowledge and skills necessary for conducting research effectively.

Topics Covered

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

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Master’s Dissertation

During the master's dissertation phase, students will undertake an independent research project under the guidance of a faculty supervisor. They will define a research question, conduct a thorough literature review, design and execute a research methodology, analyze data, draw conclusions, and present their findings in a formal dissertation. This phase allows students to demonstrate their ability to engage in scholarly research and contribute new knowledge to their field of study.

Topics Covered

  • 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

Tools and Technologies You'll Master

Python
Python
MySQL
MySQL
NumPy
NumPy
Pandas
Pandas
ChatGPT
ChatGPT
Matplotlib
Matplotlib
Seaborn
Seaborn
Scipy
Scipy
Bokeh
Bokeh
MongoDB
MongoDB
PostgreSQL
PostgreSQL

Online MS in Data Science: Programming Bootcamp

Programming Fundamentals

Build strong essentials with our complimentary fundamentals bootcamp (can be skipped by passing a short test)

Basics of Probability

Conditional Probability

Descriptive Statistics

Functions

Vector Algebra

Derivatives

Integrals

Time Series Forecasting - I

Data Types

Syntax

Conditionals

Loops

Functions

Lists

Sets

Tuples

Dictionaries

Introduction to MySQL

Basic SQL Querying

50+

Hours

Masters in Data Science Course Projects

Learn by Doing

Choose between two options for assignments and create a capstone project in your preferred domain.

30+

Industry projects to choose from

Masters in Data Science Certificate, LJMU

Earn valuable credentials and recognition

Double Certification for Global Excellence

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Earn secondary specialization

π Professional pack for dual specialisations

In just 3 more months you can earn an additional specialisation across both Data Science & Machine learning

Slide 1 of 2

Master's in Data Science

We will be there right through your learning journey

1

Hands-on learning

Videos from top faculty and world-class industry experts

Built-in practice and coding console

Industry-oriented projects for real DS & ML exposure

Live interventions from faculty and industry experts

Real time doubt clearing sessions

2

Support Services

Telegram channel for learner communication

Query assistance when you’re stuck anywhere

Learning experience and completion support

Discussion forum to resolve doubts and learn from peers

3

Career Support

1-1 Career Coaching

Career preparation modules

AI-powered Profile builder

High-impact networking events

Just-in-time mock interviews

Post-program career support

4

Networking and Peer Learning

Online discussion forum to get doubts clarified

Network and collaborate with 12,000+ alumni

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Why Executive Diploma from IIITB and Master's in Data Science from LJMU?

This program includes two separate qualifications: an Executive Diploma in Data Science from the International Institute of Information Technology Bangalore (IIITB) and a Master’s in Data Science from Liverpool John Moores University (LJMU), UK. IIITB is known in India for its strong academic approach and industry-focused teaching, while LJMU is a well-regarded UK university with a focus on research and practical learning.

Here’s why these institutions stand out:

Academic Excellence

Liverpool John Moores University (LJMU)

  • Prestigious Rankings: Recognized by QS, THE, and US News Rankings for academic excellence and global outlook, making it a top choice for a master's in data science.
  • UK-Based Education System: Offers a globally respected curriculum that balances academic theory with practical skills, ideal for students enrolling in an online M.Sc. in data science.
  • Research Excellence: LJMU emphasizes research-driven learning, equipping students with critical thinking and problem-solving skills, which are critical for success in MS in data science programs.

International Institute of Information Technology Bangalore (IIITB)

  • Top-Tier Institution: Ranked 74th in the Engineering category of NIRF 2024, IIITB is a premier Indian institute, known for delivering quality executive diploma in data science in India.
  • Cutting-Edge Programs: Offers innovative, research-focused programs in AI, machine learning, and big data.
  • National Recognition: IIITB sets benchmarks in AI education, making it an excellent choice for working professionals seeking advanced skills.

Employability and Industry Connections

LJMU

  • Strong Focus on Career Outcomes: Graduates secure roles at leading companies such as Flipkart, Fractal, MuSigma, Cognizant, Amazon, Honeywell, TCS, and Deloitte.
  • Industry Partnerships: Collaborates with global businesses to ensure its MS in data science curriculum aligns with real-world demands, giving learners a competitive edge.

IIITB

  • Exceptional Placement Record: Alumni work at top-tier companies like Microsoft, Google, Amazon, and Infosys, showcasing their placement strength among top data science programs in India.
  • Industry Collaboration: The curriculum is co-developed with industry experts to ensure students gain the most in-demand data science skills, making it a top choice for an Executive Diploma in data science in India.
  • Robust Alumni Network: IIITB’s alumni offer mentorship and industry access, boosting career prospects for learners enrolled in this program.

Affordable and Accessible Education

LJMU

  • Global Exposure: Offers a multicultural learning experience and access to international career opportunities, ideal for those pursuing a Master's in data science with a global outlook.

IIITB

  • Cost-Effective Quality: A top choice for an executive diploma in data science in India, IIITB delivers premium education at a competitive price.
  • Flexible for Professionals: This Executive Diploma in Data Science in India program allows seamless learning without pausing your career.

Research and Innovation

LJMU

  • Emphasizes research-driven learning, promoting innovation and critical thinking, which are key pillars of globally recognized MS in data science degrees.
  • Encourages students to solve real-world challenges through projects and case studies.

IIITB

  • A leader in AI, emerging tech, and data science research.
  • Continuously updates its Data Science program curriculum to align with technological advancements, ensuring graduates remain future-ready.

Golden Learning Experience with In-Demand Tools

LJMU

  • Offers a balanced course that blends math, technology, and business, with practical training in 80+ tools used in global MS in data science programs.

IIITB

  • Focuses on real-world applications with a strong foundation in analytical thinking and business problem-solving, while offering exposure to top tools like Python, Pandas, NumPy, Power BI, and more, ideal for those pursuing a Data Science program.

Top employment options after MS in data science

A masters in data science helps you build a strong career, whether you're starting or switching fields. You can work in areas like product development, data consulting, business analytics, and more. With in-demand skills from the upGrad data science course, you’ll be ready for top roles in tech, finance, healthcare, and other fast-growing industries.

Expected Salary Range

India – Career Roles & Average Salaries

  • Data Scientist: INR 15.6LPA
  • Machine Learning Engineer: INR 11.4 LPA
  • AI Specialist / AI Research Scientist: INR 20 LPA
  • Big Data Engineer: INR 11.4 LPA
  • Data Science Consultant: INR 19.8 LPA

USA – Career Roles & Average Salaries

  • Data Scientist: USD 128,553 PA (INR 1.12Cr)
  • Machine Learning Engineer: USD 172,677 PA (INR 1.5Cr)
  • AI Specialist: USD 139,834 PA (INR 1.2Cr)
  • Big Data Engineer: USD 141,494 PA (1.2Cr)
  • Data Science Consultant: USD 135,058 PA (INR 1.1Cr)

Note:

1. Data is from paycale.com, Ambition Box, and Indeed.

2. The above salaries are for the Data Scientist role. Estimates vary by location, sector, and expertise level.

3. Based on 1 USD = ₹87.65 (as of current exchange rate)

Master Degree in Data Science Instructors

Whom will you learn from?

5

Instructors

6

Industry Experts

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Online MS in Data Science learners reviews

Discover Alumni similar to your profile

Find upGrad data science course alumni profiles and know more about their career path, specialisation and more!

Online Masters in Data Science program Alumni

What our learners have to say

π Professional Pack: Why Stop at 1 Specialisation?

In just 3 more months become a π-shaped professional.

The technology sector has evolved. Traditional T shaped single-specialty roles create bottlenecks, slow project velocity, and leave critical knowledge gaps. Today's employers need π-shaped professionals - someone with two deep, complementary specialisations while maintaining broad knowledge across domains, who can own entire project lifecycles.

Aspect

T-Shaped Professional

π-Shaped Professional

Skill Depth

One single area of expertise

Double in-depth specializations

Strengths

Strong in one vertical; good for focused, specialised roles.

Strong in two verticals; faster execution, reduced friction, fewer knowledge gaps.

Limitations

Slower project velocity due to silos and handoffs

High-intensity, high-compensation roles

Career Relevance

Valuable for roles needing focused expertise

Growing demand in data & AI, where end-to-end ownership and multi-domain expertise are critical

Popular specialisation combos

π Professional pack for double specialisations

Why Gen AI + MLOps?

    Enables end-to-end ownership of Gen AI models from fine-tuning to deployment, monitoring, and safety. This pairing creates a professional who can not only innovate but also reliably deliver and manage that innovation.

Online Masters in Data Science course fee

Invest in your success

18 Months
Starting at
INR 12,625/month
Totally INR 5,20,000*Inclusive of taxes

Inclusions (up & above base program)

106+ live sessions
Interaction with faculty
Access to 360 career support
View Plans
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MS in Data Science - Eligibility and Admissions

How to apply

An easy and user-friendly online data science course registration process

Eligibility

Bachelor’s degree with 50% mandatory

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Refer and earn rewards
Refer someone and Earn upto INR 80,000 Cashback/Vouchers, on every successful enrollment
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FAQs About the Master’s in Data Science Course

1What is the average salary for someone with an MS in Data Science?

Salaries for data science professionals are very attractive and grow with experience. Freshers with an MS in Data Science usually earn between INR 6–10 LPA. With 3–5 years of experience, salaries go up to INR 10–29 LPA, and senior roles can reach INR 16–35 LPA or more. On average, a master of data science degree can help you earn about INR 12 LPA, depending on skills, company, and location.

2Is Masters in Data Science a good career choice?

Yes, pursuing a master's in data science is a great career choice. With an online master's degree in data science, you can work with top brands, use advanced AI and ML tools, and enjoy strong career growth. This field offers stability, global opportunities, and high salaries. An online master's degree in data science is a stable and rewarding career path.

3Which is better: MS in Data Science or MBA?

Both have their own value. An MS Data Science online program is best if you want to build technical skills in AI, ML, big data, and analytics. On the other hand, an MBA focuses on leadership, management, and strategy. If you see yourself in a tech-driven career, data science master’s programs online are better. If you want to lead business teams, an MBA may suit you more.

4How long does it take to complete a master in Data Science?

Most data science master's degree programs take about 2 years. However, some online MS Data Science programs, such as those offered by LJMU, can be completed in just 18 months. This faster track is ideal for working professionals who want to join the job market quickly while still gaining a globally recognized qualification.

5What type of learning experience can I expect from courses for data science?

In an online master’s degree in data science, you can expect a mix of recorded video lectures and live classes with top faculty. You’ll also work on projects, case studies, and BaseCamps for peer learning. This way, data science masters programs online give you both theoretical knowledge and practical skills to use at work. 

6Will the two specializations in data science course online require different time commitments?

No, both specializations in the Master's in data science course take the same amount of time. Each option has a common 28-week core curriculum. Whether you choose Data Analytics or Data Engineering, your learning hours and workload remain equal.

7How long will my Microsoft Copilot license remain active if I enroll in the program?

Microsoft Copilot licenses provided with this program will remain active until 31st October 2025, after which access will automatically expire.

8How difficult is a master's in data science?

A Master's in Data Science online can be challenging, as it requires a good foundation in math, statistics, and coding. However, the data science master's program supports learners with content ranging from basics to advanced topics, making it ideal for anyone exploring data science MS programs.

9Can an average student excel in Data science online course?

Definitely! Anyone with dedication can thrive in this field. To help non-tech learners, we offer a 12-week Programming and Math Bootcamp, making this data science master's course accessible for all backgrounds.

10How do I know if the data science courses are right for me?

If analyzing data and driving business decisions excites you, then this MS in Data Science for working professionals is built for you. Clear the entrance test (or get exempted) and begin your transformation into a data professional

11What is the upGrad data science course?

The upGrad online MS in Data Science is an 18-month program for working professionals. You’ll study 11 months with IIIT-Bangalore and 6 months with LJMU. Upon completion, you'll earn a master’s in data science degree from LJMU and an Executive Diploma from IIITB.

12What are the specializations in online masters in data science?

Core areas of specialization in data science include Data Analytics, and Data Engineering. These subjects form the backbone of most data science programs, whether pursued online or on campus.

13Does a Master’s in Data Science require coding?

Yes, most data science master’s online courses require coding, mainly in Python and SQL. Some programs teach coding from scratch, while others expect you to know the basics. If you are new, you can take beginner tutorials or a bootcamp before joining an online master’s degree in data science. 

14Which master’s degree is best for data science?

The best master’s degree for data science depends on your career goals and interests. Here are some top options:

  1. Master’s in Data Science: Focuses exclusively on data science concepts like machine learning, big data, data visualization, and statistical modeling. Ideal for those aiming for roles like data scientist or machine learning engineer.
  2. Master’s in Business Analytics: Combines data science with business strategy, focusing on applying data-driven insights to solve business problems. A great choice for aspiring data analysts or business intelligence professionals.
  3. Master’s in Computer Science (with a focus on AI/ML): Provides a strong foundation in algorithms, programming, and advanced machine learning. Perfect for those interested in technical or research-heavy roles.
  4. Master’s in Applied Statistics: Emphasizes statistical modeling and probability, suitable for careers in data analysis or quantitative research.

15What is the refund policy for the Masters in Data Science Degree (Online) program?

You may request a refund at any time before the Cohort Commencement Date by visiting www.upgrad.com and submitting your refund form through the “My Application” section under your profile. A processing fee of ₹10,000 will be charged. Please note that once the program commences, no refund request will be considered, and any amount paid by the student will not be refunded. For detailed terms and conditions regarding the Program and the refund policy, please refer to your Program Offer letter before enrolling.

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 10 AM to 7 PM

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Disclaimer

  1. This program does not constitute a dual, joint, or twinning degree program

  1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad is not a college or university i.