Bachelor of Data Science (BDS)
Overview:
The Bachelor of Data Science program provides students with foundational knowledge in statistics, programming, data management, and analytical techniques. The program integrates theoretical concepts with practical applications through hands-on projects, case studies, and collaborative learning. Graduates develop quantitative, computational, and problem-solving skills necessary to analyze complex datasets and support data-driven decision-making across industries.
Program Learning Objectives (PLOs):
Upon completion, students will be able to:
Collect, clean, and analyze datasets using appropriate statistical and programming tools.
Present data findings clearly through reports, visualizations, and structured oral presentations.
Apply critical thinking to interpret data patterns, compare analytical models, and recommend informed decisions.
Demonstrate ethical responsibility in data handling, privacy, and responsible use of information.
Conduct research on real-world datasets, identify trends or inefficiencies, and propose measurable, data-driven solutions.
Admission Requirements:
Education: High school diploma or equivalent from a recognized institution. Students from any academic background may apply; foundation courses in mathematics or computing may be required depending on prior preparation.
Professional Experience: Not required, but prior exposure to mathematics, statistics, or programming strengthens applications.
IT Skills: Basic computer and internet proficiency is required.
Program Details:
Awarded Qualification: Bachelor of Data Science (BDS)
Duration: 3 years
Delivery Mode: Face-to-face
Level: MQF/EQF Level 7
Accreditation: MQRIC Recognized
Location: Malta
Fees: €8,000/year
Master of Data Science (MDS)
Overview:
The Master of Data Science program develops advanced expertise in machine learning, predictive analytics, big data technologies, and strategic data management. The program integrates quantitative, analytical, and strategic skills to address complex data challenges in business, finance, healthcare, technology, and public sectors. It is designed for both full-time students and working professionals seeking advanced roles in analytics and data leadership.
Program Learning Objectives (PLOs):
Graduates will be able to:
Design and implement advanced analytical models and machine learning solutions.
Deliver clear, data-driven presentations supported by visualizations and appropriate technologies.
Apply critical thinking to evaluate algorithms, interpret results, and make strategic recommendations.
Exhibit professional standards and ethical responsibility in data governance, privacy, and compliance.
Conduct advanced research on large datasets, identify patterns or risks, and implement measurable, strategic improvements.
Admission Requirements:
Education: Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, or related field from an accredited institution. Other degrees may be accepted on a case-by-case basis, possibly with prerequisite courses in mathematics or programming.
Professional Experience: Recommended 3 years of full-time experience in analytics, IT, finance, research, or related sectors.
IT Skills: Advanced computer and programming proficiency sufficient for graduate-level research and analytical modeling.
Credit Transfer Options:
Transfer Credit (TRC): 6 credits
Standardized Exam Credit (SEC): 0 credits
Prior Experiential Learning Credit (PEL): 9 semester credits
Program Details:
Awarded Qualification: Master of Data Science (MDS)
Duration: 2 years
Delivery Mode: Face-to-face
Level: MQF/EQF Level 7
Accreditation: MQRIC Recognized
Location: Malta
Fees: €8,000/year