The Postgraduate Data Science program at Liverpool John Moores University is designed to equip students with the skills and knowledge required to succeed in the rapidly evolving field of data science. This 17-month program covers a wide range of topics, including data mining, machine learning, statistics, and data visualization. Students will learn how to collect, analyze, and interpret large datasets, and develop the skills to communicate insights and findings to both technical and non-technical stakeholders. With a strong focus on practical applications and industry-relevant projects, this program is ideal for professionals looking to transition into data science roles or for those seeking to enhance their existing skills and knowledge in the field.
Develop a deep understanding of the principles and concepts of data science
Learn how to collect, analyze, and interpret large datasets
Develop skills in machine learning, statistics, and data visualization
Understand how to communicate insights and findings to both technical and non-technical stakeholders
Apply data science concepts and techniques to real-world problems and projects
A structured learning path designed for mastery.
This module provides an introduction to the field of data science, including the key concepts, tools, and techniques used in the industry.
This module covers the principles and techniques of data mining and machine learning, including supervised and unsupervised learning, clustering, and regression.
This module provides a comprehensive introduction to statistics and probability, including hypothesis testing, confidence intervals, and regression analysis.
This module covers the principles and techniques of data visualization and communication, including data storytelling and presentation.
This module provides students with the opportunity to apply the knowledge and skills gained throughout the program to a real-world project.
Industry-aligned concepts
Real-world tools
Global recognition
Visualize your professional trajectory with data-backed outcomes.
A data scientist is responsible for collecting, analyzing, and interpreting large datasets to generate insights and inform business decisions.
A business analyst is responsible for analyzing data to identify business needs and opportunities, and developing solutions to drive business growth.
A data analyst is responsible for collecting, analyzing, and interpreting data to generate insights and inform business decisions.
With a strong foundation in data science, professionals can progress to senior roles such as lead data scientist, director of analytics, or chief data officer, with average salaries ranging from ₹25 to ₹50 LPA.
Analyze the market value and earning potential for professionals graduating from the program.
Did you know? Professionals with specialized executive certifications often see a 30-50% hike when switching roles.
A comprehensive toolkit of technical, strategic, and interpersonal skills designed to future-proof your career in .
Core concepts & theory
Hands-on projects & labs
Strategic decision making
Industry-ready mastery
Hear from leaders who have redefined their careers through the program.
The PG Data Science program at Liverpool John Moores University provided me with the skills and knowledge required to succeed in the field of data science. The program's focus on practical applications and industry-relevant projects was particularly valuable, and I was able to apply the concepts learned in the program to real-world problems.
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