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Transform Data into Insights. Drive Data-Informed Decisions
The Master of Data Analytics (MDA) offered by the Department of Industrial Management, University of Kelaniya, is designed to develop professionals capable of transforming data into actionable insights for decision-making, innovation, and organizational growth.
The programme combines statistical methods, data science techniques, artificial intelligence, machine learning, business intelligence, and big data technologies to equip graduates with the analytical competencies demanded by modern organizations.
Programme at a Glance
Why Choose MDA?
The Master of Data Analytics programme has been designed to bridge the growing gap between data availability and data-driven decision-making.
Key Features
✔ Designed for both computing and non-computing graduates
✔ Covers the complete analytics pipeline from data acquisition to decision support
✔ Industry-relevant curriculum aligned with emerging analytics trends
✔ Exposure to Artificial Intelligence, Machine Learning, and Big Data technologies
✔ Practical assignments, case studies, and seminar-based learning
✔ Suitable for working professionals through a blended learning model
✔ Multidisciplinary cohort representing diverse academic and professional backgrounds
Curriculum Structure
The curriculum progressively develops competencies from foundational analytical skills to advanced data analytics techniques.
The medium of instruction is in English.
Our Students and Graduates
The Master of Data Analytics programme has attracted students from a wide range of academic disciplines and professional sectors, creating a rich multidisciplinary learning environment.
Graduate Network
✔ Over 380 students enrolled across six intakes
✔ Students and graduates representing numerous public and private sector organizations
✔ Professionals from multiple industry sectors
✔ Diverse academic backgrounds spanning computing and non-computing disciplines
Our Cohort at a Glance
Our students range from early-career professionals to senior managers, lecturers, analysts, engineers, and decision-makers across public and private sector organizations.
Software Development and Information Technology
Banking and Financial Services
Insurance
Telecommunications
Manufacturing
Healthcare
Education and Academia
Government and Public Sector
Logistics and Supply Chain
Business and Management
The programme attracts both early-career professionals and experienced practitioners seeking to strengthen their analytical capabilities.
Meet the Academic Team
The programme is delivered by experienced academics and industry practitioners with expertise in data science, artificial intelligence, machine learning, business intelligence, statistics, operations research, and industrial management.
Academic Staff Profiles: https://im.kln.ac.lk/staff
Graduate Testimonials
Hear directly from our graduates about their experiences and achievements through the Master of Data Analytics programme.
Photo Gallery
Ready to Become a Data Analytics Professional?
Applications open annually in mid November.
Entry Qualifications
Applicants should satisfy one of the following requirements:
Option 1
A. A Bachelor’s Degree in Science or Engineering from a recognized university.
OR
Option 2
B. Bachelor’s degree in Arts, Technology, ICT or Commerce and Management, with a mathematical background* and a minimum of one years of managerial/executive/tertiary level teaching experience
OR
Option 3
C. any equivalent qualification acceptable to the Senate of the University of Kelaniya**
* Applicants who have done ICT, Statistics, Logic, Mathematics, Economics and/or Econometrics as a part of their bachelor’s degree programme or for GCE Advanced Level would be considered. The decision of the interview panel shall be final.
** Applications of those who have diplomas/higher diplomas from recognized institutions will be considered based on their experience and other professional qualifications obtained.
Programme Outcomes
The Master of Data Analytics programme is designed to provide candidates with the opportunity to build competencies progressively, starting from fundamental concepts and advancing towards the effective use of cutting-edge analytics tools and technologies across diverse domains.
Upon successful completion of the programme, graduates will be able to:
Appreciate the interdisciplinary nature of data science and analytics.
Contribute effectively as a member of an analytics team.
Recognize organizational and societal problems that can be addressed through analytics.
Identify data requirements and collect, preprocess, manage, and store data appropriately.
Design and conduct experiments using data to solve problems and interpret analytical outcomes.
Apply knowledge of mathematics, statistics, and programming to extract meaningful patterns and insights from data.
Demonstrate sound knowledge of big data tools, technologies, and infrastructure.
Handle data with professionalism, integrity, and ethical responsibility.
Communicate analytical findings effectively in written and verbal forms.
Continuously engage in self-directed learning on emerging analytics tools, techniques, and technologies.
Future Academic Pathways
Graduates of the Master of Data Analytics may pursue:
Master of Science in Data Analytics (SLQF Level 10)*
Master of Philosophy (MPhil)
Doctor of Philosophy (PhD)
*Subject to approval and admission requirements.
Explore Research Degrees: MPhil and PhD opportunities at DIM
Frequently Asked Questions(FAQs)
Do I need an IT degree to apply?
Do I need an IT degree to apply?
No. The programme is designed for graduates from both computing and non-computing disciplines who meet the admission requirements.
When are lectures conducted?
When are lectures conducted?
Lectures are conducted during weekends (Saturdays and Sundays), making the programme convenient for working professionals.
Are lectures conducted online?
Are lectures conducted online?
The programme follows a blended delivery model consisting of one-third physical lectures and two-thirds online lectures.
Are examinations conducted online?
Are examinations conducted online?
No. Final examinations are conducted physically at the University of Kelaniya.
Can I follow the programme while working full-time?
Can I follow the programme while working full-time?
Yes. The programme is specifically designed for working professionals. Weekend lectures and the blended delivery model enable students to balance work, personal commitments, and postgraduate studies effectively.
When does the programme commence?
When does the programme commence?
The programme commences annually towards the end of March, with applications typically opening in mid November.
Contact Information
Programme Coordinator
Dr. Thilini Mahanama
Programme Assistant
Ms. Piyumi Karunaratne
Faculty of Graduate Studies, University of Kelaniya
📞 011 2903952
Ready to advance your career through data-driven decision making?
Join the Master of Data Analytics programme and become part of a growing community of analytics professionals who are transforming organizations and society through data-driven insights.
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