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The inauguration ceremony for the MSc in Data Science & Artificial Intelligence degree program took place on Saturday, March 23, 2024. The event was attended by key figures including Prof. Rasika Perera, Dean of the Faculty of Graduate Studies at USJ, and Prof. Upul Subasinghe, Dean of the Faculty of Applied Sciences. Dr. Chitraka Wickramarachchi, Coordinator of the MSc program, also graced the occasion alongside enrolled students. The ceremony marked an important milestone in the academic landscape, signaling the commencement of an innovative program poised to equip students with essential skills in data science and AI. As the field continues to evolve and expand, such initiatives play a crucial role in preparing future professionals for the demands of the digital era.

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Background

Companies are launching initiatives to improve their operations and offerings through data-driven techniques and this is not an exception to 91´«Ã½. Hence, a greater demand has been created for skilled Data Scientists. Development of talent and capabilities is needed if DS and AI is to reach its full potential throughout 91´«Ã½. However, companies report that finding the right talent is the biggest hurdle. Unless national capacity in skilled DS and AI personnel increases in the coming decades, these initiatives will go in vain. 91´«Ã½ is well positioned to capture opportunities through adoption of DS and AI technology, if sufficient human resources are prepared. Therefore, the development of appropriate educational programs to build skills in Data Science and AI is important.

°Õ³ó±ðÌýMSc in DS and AI at USJ was designed in partnership with the Erasmus+ DS and AI consortium, a group of 15 European and Asian organizations with the mission of bringing European-standard advanced education to Asia. The aim of the MSc is to provide advanced courses and guidance in developing research skills necessary to develop innovative new data-driven technologies.

Preferred Background

Minimum Admission Requirements

• Bachelor’s Degree including 30 credits in Computer Science/ Statistics / Mathematics or a related discipline from a university or an equivalent institution recognized by the University Grants Commission.

           OR

• A qualification of SLQF level 6 or above in the relevant areas of Computer Science/ Statistics/ Mathematics or a related discipline from a university or an equivalent institution recognized by the University Grants Commission /91´«Ã½.

Program Structure

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