📘 Programme Overview
The Master of Science (MSc) in Data Science offered by the Open University of Sri Lanka (OUSL) is a comprehensive postgraduate programme designed to equip learners with advanced technical knowledge and real-world analytical skills. This programme covers essential areas such as big data technologies, machine learning, data analytics, and applied data science, preparing graduates to solve complex problems across multiple industries.
With the rapid global expansion of AI and data-driven decision-making, the MSc in Data Science provides an excellent pathway for professionals looking to elevate their careers or transition into the highly competitive field of data science.
🔴 Application Deadline Extended
The deadline for applications has been extended to 05 December 2025.
Interested applicants now have additional time to submit their online applications.
🎯 Programme Outcomes
Students completing this programme will be able to:
- Apply modern machine learning and data analysis techniques.
- Work with large-scale datasets using big data tools.
- Understand advanced statistical modelling and predictive analytics.
- Build real-world data solutions for industries such as finance, IT, healthcare, manufacturing, and more.
- Pursue roles such as Data Scientist, Data Analyst, ML Engineer, Business Intelligence Specialist, and similar positions.
📅 Programme Duration
2 Years (Part-time/Weekend-based structure)
💰 Application Fee
LKR 1,000
📞 Contact Information
For more details, contact the Faculty of Engineering at OUSL:
- Hotline: 011 288 1000
- Mobile: 070 181 9239 | 070 206 7059 | 070 206 7058
- Email: mscds@ou.ac.lk
- Programme Details: https://ou.ac.lk/programme/master-of-science-in-data-science/
🌐 How to Apply
All applications must be submitted through the official online portal.
🏫 Conducting Faculty
Faculty of Engineering, Open University of Sri Lanka.
📝 Attribution
This information is sourced from the official Facebook page of The Open University of Sri Lanka (OUSL).
The publisher does not endorse or guarantee the accuracy or completeness of the reproduced material.
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