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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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200
Year legacy rich university
4.4K+
Students Graduated
Liverpool John Moores University
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

Get to know MS in data science course in depth by downloading the course brochure
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
Learn with a world-class masters in data science syllabus
5 weeks
Master core mathematical and programming skills necessary to implement data science and machine learning solutions
Tools and Technologies You'll Master
5 Weeks
Explore data patterns and use statistical methods to visualise, interpret, and extract actionable insights that help drive better decision-making.
Tools and Technologies You'll Master
5 Weeks
Move your data processes to the cloud and analyse big data at scale using industry-relevant tools and cloud computing platforms.
Tools and Technologies You'll Master
5 Weeks
Understand how mathematics powers machine learning, and implement classification, regression, and clustering models to predict metrics and discover insights.
Tools and Technologies You'll Master
5 Weeks
Advance your ML skills by working with deep neural networks and applying machine learning and deep learning techniques in natural language processing.
Tools and Technologies You'll Master
16 Weeks
Specialise as a data analyst by combining advanced machine learning techniques and AI-powered tools with structured problem-solving to boost business outcomes.
Tools and Technologies You'll Master
16 Weeks
Specialise as a data engineer by building and maintaining large-scale data pipelines using both traditional systems and modern cloud-native technologies.
Topics Covered
Tools and Technologies You'll Master
Research Methodologies
This course aims to equip students with the foundational knowledge and skills necessary for conducting research effectively.
Topics Covered
Tools and Technologies You'll Master
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
Tools and Technologies You'll Master
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
Learn by Doing
Choose between two options for assignments and create a capstone project in your preferred domain.
30+
Industry projects to choose from
Earn valuable credentials and recognition
Double Certification for Global Excellence
π Professional pack for dual specialisations
In just 3 more months you can earn an additional specialisation across both Data Science & Machine learning
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

Whom will you learn from?
5
Instructors
6
Industry Experts
Discover Alumni similar to your profile
Find upGrad data science course alumni profiles and know more about their career path, specialisation and more!
What our learners have to say
π Professional pack for double specialisations
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.
Invest in your success
Inclusions (up & above base program)
How to apply
An easy and user-friendly online data science course registration process
Eligibility
Bachelor’s degree with 50% mandatory
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.
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.
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.
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.
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.
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.
Microsoft Copilot licenses provided with this program will remain active until 31st October 2025, after which access will automatically expire.
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.
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.
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
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.
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.
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.
The best master’s degree for data science depends on your career goals and interests. Here are some top options:
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.
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This program does not constitute a dual, joint, or twinning degree program
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.