Master of Computing (Data Analytics) (Top-up) (University of Wollongong)

Accepted Entry Qualifications

The following qualifications are accepted:

• A recognised IT/Computer Science Bachelor’s degree.
• SIM Graduate Diploma in Business Analytics will be required for the below group of applicants:
• A non IT / Computer Science degree
• Applicants who are Diploma holders with at least 8 years work experience and 30 years old and above

Applicants may be admitted to different credit exemptions based on their academic results.

• Exemptions are normally granted automatically to students with the completion of SIM Graduate Diploma in Business Analytics OR a recognised IT/ Computer Science Bachelor's degree

Equivalent International Qualifications

International applicants has the same entry requirement as local applicants.

English Language Requirements

• International students (non-nationals of Singapore) must satisfy the following UOW English language requirements, or their equivalent:
• IELTS  Academic - 6.5 (no band less than 6.0)
• Successful completion of recognised approved Diploma qualification or higher, where the language of instruction was English.

Information not available

Structure

• This programme is taught in Singapore by local academics and/or practitioners, as well as UOW academics.
• Average teacher-student ratio is 1:36.
• The course is intensive and demanding but rewarding and achievable.
• Classes include face-to-face lectures, tutorials and lab sessions.
• Classes are typically in 3-hour blocks: 8:30 – 11:30am, 12noon – 3pm, or 3:30 – 6:30pm on weekdays and may be held on Saturday mornings and/or afternoons (subject to timetable).
• Classes delivered by UOW academics are conducted in an intensive mode – a continuous block of seven days for each module.
• Students typically study two modules per term. Each year comprises of 4 terms.
• Minimum class size to commence: 24 students
• In the event that the minimum number is not met, the intake may not commence. The student shall be informed within one month before programme commencement.

Assessment & Attendance

• Students are normally assessed by continuous assessment in the following form:
  
  • Assignments
  • Class tests
  • Laboratory exercises
  • Practical laboratory tests
  • Presentations
  • Projects
  • Tutorial exercises
• Some assignments and presentations will be group-based. Assessment may have minimum achievement requirement necessary to pass the module.
• Most modules have a final examination at the end of term.
• Students are to pass all modules within the current year of study before proceeding to the next year of study. For modules with pre-requisites, students may be required to meet the pre-requisites before undertaking the modules.
• Attendance requirement:
  • Local students: 80%
  • International students: 90%

Modules

To be awarded the Master of Computing (Data Analytics), student must complete, or be exempted from completing (depending on their advanced standing status), a total of 8 modules comprising of core modules, elective module and one final year project.

Core Modules

• Strategic Network Design
• Security Essentials
• Professional Capstone Project
• Enterprise Architecture and System Integration
• Information Visualisation and Decision Support
• Enterprise Web Development

* Modules are taught by UOW Academics, supported by local tutors.

Elective Modules

• Security, Ethics and Professionalism
• Information Design and Content Management
• IT-Enabled Supply Chain Management

* Modules are taught by UOW Academics, supported by local tutors.

The modules are subject to changes by the university and subject to availability. Not all modules will be offered every term.