MSc Data Science
Transform your future with a conversion MSc in Data Science, exploring the latest in data analytics, big data, and machine learning to equip you for roles as a data scientist, machine learning engineer, or data analyst.
Overview
About this course
This programme provides a strong foundation in modern data science techniques, including programming, statistics, and data mining, delivered through research-informed teaching and industry practice. Students will explore key areas such as machine learning, big data, and data visualisation, developing the ability to analyse complex datasets and generate meaningful solutions. With opportunities for optional industry placements and guidance from recognised academics and industry experts, students can enhance their professional network and career readiness. The programme culminates in a substantial independent project, enabling them to apply their knowledge, strengthen critical thinking, and demonstrate practical expertise in data science.
Why choose this course
Delivered in partnership with the University of Lancashire, UK
Covers machine learning, big data, and data visualisation
Optional industry placement opportunities
Guidance from recognised academics and industry experts
Culminates in a substantial independent Master's project
What you will learn
Data preparation, management, ethics, and governance
Computational mathematics and statistics for data science
Machine learning and predictive data mining
Programming for data science using industry-standard languages
Big data tools and techniques for large dataset handling
Data investigation and visualisation
Skills you will gain
At a glance
Level
Postgraduate
Duration
12 months
Full-time
Location
Intakes
N/A
Entry Requirements
Entry Requirements
Bachelor's degree with a minimum second-class lower division classification
Professional qualifications equivalent to a UK Degree (CIM, SLIM, CIMA, ACCA)
Relevant work experience may be considered
UCL Alumni are eligible to apply
Specific subject prerequisites may apply depending on chosen degree pathway at University of Lancashire
Course Structure
Data Concepts, Ethics and Governance
— • Year 1
Focuses on essential concepts for working with data in intelligent systems, including theory of data preparation, investigative and analytical skills for data management, ethical and governance responsibilities regarding AI.
Computational Maths and Statistics
— • Year 1
Teaches key mathematics and statistics for modern computer systems with practice applying statistics to real-world problems and building skills for analyzing and evaluating statistical methods.
Machine Learning and Data Mining
— • Year 1
Covers data mining and predictive modeling in machine learning, building problem-solving skills, teaching handling of incomplete data, and developing evaluation skills.
Programming For the Data Scientist
— • Year 1
Covers programming fundamentals for Data Science, introducing widely used programming languages and building programming skills with software libraries for data preparation and analysis.
Big Data (Tools and Techniques)
— • Year 1
Focuses on Big Data and tools and techniques for efficiently and securely handling large datasets, developing practical skills in big data storage tools.
Data Investigation and Visualisation
— • Year 1
Focuses on data visualization, developing collaborative and reflective skills in team-based data science projects and promoting awareness of human perception and cognitive biases.
Master's Project
— • Year 1
Conducts an extensive piece of work focused on a challenging topic, providing autonomy to advance skills and demonstrate deeper understanding of the subject area of interest.
Fees and Funding
Tuition Fees
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Local fees information not available
Frequently Asked Questions
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Course Facts
Location
Colombo
Duration
12 months | full-time
Upcoming Intakes
Tuition Fees
International fees not available
