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Department of Computing

BSc (Hons) Data Computing Intelligence


Awarded By


The BSc (Hons) Data Computing 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 analytics and intelligent systems, from data collection and processing to advanced machine learning and AI-driven decision-making, while instilling a professional and ethical approach to your work. You will apply your learning to tackle real-world challenges through 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 the global tech industry.

Canterbury Christ Church University


Canterbury Christ Church University Established in 1962, 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 program at SAEGIS, 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 thrive 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

120

Study Mode

On Site

Lecture Option

Weekends

Career Opportunities


Graduates of the BSc (Hons) Data Computing Intelligence programme are equipped with the analytical expertise, programming proficiency, and business acumen required to excel in the rapidly growing data and AI sectors. They can pursue careers as Data Analysts, Business Intelligence Analysts, Data Scientists, Machine Learning Engineers, Business Analytics Consultants, and Data Engineers. Additionally, they are prepared to contribute to innovative data-driven projects, work in multinational technology firms, financial institutions, healthcare organizations, or start-ups, or launch their own data-focused ventures, with strong foundations for leadership and innovation in the global IT industry.

Higher Study Opportunities


Graduates of the BSc (Hons) Data Computing Intelligence programme have strong prospects for advanced studies in data science, artificial intelligence, and computing fields. They can pursue postgraduate qualifications such as the MSc in Data Intelligence offered by Canterbury Christ Church University, which develops skills to turn data into meaningful insight through machine learning, AI techniques, and ethical data solutions , as well as other programs such as MSc in Artificial Intelligence, MSc in Machine Learning, or MSc in Business Analytics. They may also pursue research-oriented degrees like MPhil or PhD in Computing, Data Science, or AI. These pathways provide opportunities for specialization, technical mastery, and leadership roles in data analytics, AI research, business intelligence, and emerging technology sectors globally.

Course Contents


Semester 1


+ Cybersecurity

+ Artificial Intelligence

Semester 2


+ Applied Data in Action

+ Programming Frameworks and Languages

Semester 3


+ Computing Final Dissertation

Entry Requirements


Entry Requirement Successful completion of a Pearson BTEC Level 5 HND in Computing (Data Analytics) Or Successful completion of a Pearson BTEC Level 5 HND in Digital Technologies (Artificial Intelligence (AI) Solutions and Applications) Or Any other equivalent qualification recognized by the institution

Awarded By


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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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