MSc Data Intelligence

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Department of Postgraduate Studies

MSc Data Intelligence

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The MSc Data Intelligence, offered in exclusive partnership with Canterbury Christ Church University, is meticulously designed to equip you with the comprehensive skills and in-depth knowledge required to excel in the data-driven economy. Our curriculum, aligned with the high standards of CCCU, provides a robust foundation in the principles of data science and artificial intelligence, from collecting and processing complex datasets to applying machine learning techniques and designing ethical data solutions, while instilling a professional and responsible approach to your work. You will apply your learning to tackle real-world challenges through hands-on projects that showcase your expertise. By graduating, you will not only receive a prestigious degree from Canterbury Christ Church University but also possess the practical skills and theoretical understanding to thrive as a data professional, ready to make a significant impact in business, society, and the global tech industry.

Canterbury Christ Church University

Established in 1962, Canterbury Christ Church University (CCCU) is a renowned modern university with a rich heritage of academic excellence and a strong commitment to public service. By enrolling in a CCCU programme at Saegis Campus, you gain access to an internationally respected British curriculum designed to equip you with the skills and knowledge for global career success. CCCU is celebrated for its high-quality teaching, strong focus on employability, and supportive learning environment, ensuring that you graduate not only with a globally recognized degree but also with the confidence and expertise to excel in your chosen field. Experience the best of British education in Sri Lanka and open the door to a world of opportunities.

Duration

12 Months

Credits

180

Study Mode

On Site

Lecture Option

Weekends

Course Contents

Trimester 1

+ Big Databases in Action

+ Visual Analytics and Immersive Technologies

Trimester 2

+ AI for Data Intelligence

+ Industry

+ Careers and Enterprise Client Project

Trimester 3

+ PG Computing Research Project

Entry Requirements

Entry Qualifications Bachelor's Degree (2:2 or higher) in STEM subjects such as Computer Science, Information Technology, Software Engineering, Data Sciences, Artificial Intelligence, Computer Engineering, Information Systems, Digital Technology/Computing Or Near STEM Subjects such as Economics, Informatics, Accountancy Or Non-STEM degree subjects require an A level in Maths.

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With an excellent staff of well experienced and much respected lecturers and professors as resource persons; efficient non academic staff, the management of Saegis Campus strives to deliver qualitative tertiary education on par with the international standards.

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