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1.The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
2.The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not provide any a.
Online data science course snapshot
2
Variants for Each Project
60+
Real-World Case Studies
100+
Programming & GenAI Tools
Dual-accredited Masters in Data Science from LJMU (UK) and IIIT Bangalore (India)
Study a globally recognized degree at 1/10th the cost of on-campus programs
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 & IIITB different?
Curriculum
Degree Recognition
Hands-on Experience
Specializations
Career Support
Live Classroom Learning
Affordability
Add-ons
LJMU & IIITB (via upGrad)
Covers cutting-edge topics like Generative AI, meticulously curated to meet industry demands.
Dual 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 mentorship and career counseling.
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
Dual Certification for Global Excellence
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 and Placement Support
Access to upGrad job portal
Soft skills and aptitude modules
AI-powered profile builder
Career mentorship
4
Networking and Peer Learning
Online discussion forum to get doubts clarified
Network and collaborate with 12,000+ alumni
What our learners have achieved?
A quick summary of the placement support received by MS in data science course alumni
Whom will you learn from?
5
Instructors
6
Industry Experts
Who've enrolled for courses in data science?
Our courses in data science caters to professionals from diverse backgrounds, creating a vibrant classroom with enriching discussions.
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
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
BESTSELLER
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