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BESTSELLER

Popular

Masters in Data Science Degree (Online)

Get a globally recognized and affordable MS in Data Science online degree from UK's Liverpool John Moores University in only 18 months- with an Executive PG Diploma from IIITB!

Type

Master's Degree

Start Date

Data Science Course Duration

18* Months

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200

Year legacy rich university

4.4K+

Students Graduated

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Liverpool John Moores University

About LJMU's Online Masters in Data Science

Online data science course snapshot

14+

Case Studies & Projects

500+

Hours of learning

300+

Hiring Partners

Complimentary Python Programming Bootcamp

Dual-accredited Masters Degree program, offered in collaboration with UK’s Liverpool John Moores University (LJMU) and India’s IIIT Bangalore.

Masters in Data Science Degree from Liverpool John Moores University (LJMU). The university ranks among the top in analytics and data science courses.

Gain additional certification from IIIT Bangalore, a premier institution in India ranked 74th in the Engineering category of the National Institutional Ranking Framework (NIRF) in 2024!

A globally recognized degree at 1/10th the cost of on-campus programs.

Fortnightly Group Mentorship sessions with industry professionals to deepen your knowledge and insights.

Daily Doubt Resolution Support to ensure you never feel stuck.

High-Performance Coaching (1:1) to push you towards your highest potential.

A qualification that is recognized in the US and Canada.

Exclusive access to upGrad's data science course job opportunities portal.

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Why Choose an online Masters in Data Science Course?

Throughout this program, you will gain in-depth and hands-on expertise in the most popular tools and technologies in courses for data science domain. These practical skills will prepare you to excel in diverse, data-driven roles, from building predictive models to solving complex business problems, ensuring you’re ready to thrive in today’s rapidly evolving job market.

Here’s what you’ll learn:

  • Data Processing: You'll learn data handling and preprocessing techniques essential for transforming raw data into usable insights, which will enable insightful analysis for key business decisions.
  • Machine Learning: You'll build predictive models and algorithms that allow machines to learn from data, solve complex business challenges, and automate tasks.
  • Big Data: You'll learn to manage, analyze, and draw insights from massive data sets, preparing you for roles in big data analytics and data engineering.
  • Visualization: You’ll learn how to create clear and impactful data visualizations, turning complex information into easily understandable insights. These skills will enable you to support strategic decision-making with well-communicated, data-driven narratives.


What tools will you learn?


Develop practical expertise in essential programming languages and tools used in data science courses:

  • Advanced Excel: Explore advanced functions and tools for data analysis, modeling, and reporting.
  • SQL: Learn to manage and query large datasets efficiently, forming the foundation of database work.
  • Python: Gain hands-on experience with Python for data cleaning, analysis, and machine learning.
  • Tableau: Create insightful visualizations and dashboards to interpret complex datasets.
  • Power BI: Build interactive reports and integrate data for in-depth business insights.
  • Hadoop: Understand large-scale data storage and processing using distributed systems.

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

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)

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Indian Nationals

1800 210 2020

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Foreign Nationals

+918045604032

Disclaimer

In the case of dual programs, please be informed that the universities participating in these programs are accredited and recognized in the countries where they are established. It is crucial to understand that upGrad does not grant credits; instead, credits are granted, accepted, or transferred at the sole discretion of the relevant educational institu.