College:
The course teaches students comprehensive and specialised subjects in data science; it develops sophisticated skills in statistics, mathematical modelling, and the ability to code in support of such analyses. It further grounds students in the disciplinary history and methodology of data science, preparing them for either further study or to work as a practitioner in the field. The program prominently features a major capstone project, requiring students to identify a real-world problem that would benefit from a data-driven approach; to collect and prepare the data to address the problem; and to build visualisations in support of their arguments. The combination of rigorous mathematical training with practical approaches gives learners the ability to autonomously further develop their skills after graduation, turning them into lifelong learners of data science methods.
Minimum education requirement for students:
Lower Undergraduate
Total degree requirements:
2250 hours
Tuition costs:
$9,000.00
Degree area:
Data Science
Accreditation:
ECTS Accredited (EQF7)
Typical duration:
12 months
Language:
English
Mode:
Fully Online
Degree ILOs:
• Formulate research-based solutions to practical problems in environments of incomplete information • Manage decisions with autonomy in complex and unpredictable environments • Organise projects and people in a way that is responsive to changes in the wider data analytics environment • Demonstrate learning skills needed to maintain continued, self-directed study
Course hours required:
450 hours
Course hours required:
1050 hours
Course hours required:
750 hours