Bachelor of Computer Science (Big Data) (University of Wollongong)

The following qualifications are accepted:

• 3 GCE ‘A’ level / 3 H2 passes plus 1 H1 pass with a minimum aggregate of 9 points where A=5, B=4, C=3, D=2, E=1 (for H1 apply half the value)*
• Diploma: 3-year diploma from local polytechnic or its equivalent.
• Applicants may be admitted to different credit exemptions based on their academic results.
• Exemptions are normally granted automatically to students with relevant background.
• Block exemptions may be granted to students with relevant diplomas from the local polytechnics and universities.
• All modules previously studied will be evaluated and compared with the requirements of the student’s programme of study and a block exemption granted where appropriate.
• To obtain maximum credit exemption, applicants must have GPA of 2.0 or more (out of 4.0). Applicants with GPA below 2.0 will be assessed on a case-by-case basis.

Equivalent International Qualifications

Visit course webpage to view information on international qualifications

English Language Requirements

Applicants with international qualification must meet the University’s English requirement: 

• IELTS (Academic) overall score of 6.5 with no band less than 6.0; or 
• TOEFL (iBT) overall score of 86 with a minimum score of 18 in Reading & Writing and 17 for Speaking & Listening; or 
• Pearson (PTE) Academic overall score of 62  with at minimum score of 54 in Reading & Writing and 47 in Listening & Speaking 

Note: IELTS Indicator, TOEFL (iBT) at home test and Pearson (PTE) Academic Online not accepted.

Graduates can apply to enrol in the Bachelor of Computer Science (Hons) programme at Wollongong campus.

Computer scientists focus on the theoretical foundations and practical approaches to computation and its applications. They design methods and tools and write programs for computer applications.

These applications can be in areas such as computer systems to control machinery, information management and big data, applications for mobile devices, stock market trend analysis, game design, visualisation of chemical reactions, neural network design, computational geometry for robot navigation, patient monitoring in hospitals, and much more.

Structure

• This programme is taught in Singapore by local academics and/or practitioners as well as UOW academics.
• The course is intensive and demanding but rewarding and achievable.
• Classes include face-to-face lectures, tutorials and lab sessions.
• 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.

Full-time Programme:

• Average teacher-student ratio 1:55
• 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). 

Part-time Programme: 

• Average teacher-student ratio 1:26
• Classes are typically in 3-hour blocks: 7 – 10pm on weekdays and may be held on Saturday mornings and/or afternoons (subject to timetable). 

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.

Full Time Programme

• Attendance requirement
  • Local students: 80%
  • International students: 90%

Part-time Programme:

• Attendance requirement: 80%

Modules

Core Modules

• Networks and Communications
• Human Computer Interaction
• Programming Fundamentals
• Problem Solving 
• System Analysis 
• Data Management & Security 
• Object Oriented Design & Programming 
• Introduction to Web Technology 
• IT Project Management 
• Software Development Methodologies*
• Mathematics for Computer Science 
• Algorithms & Data Structures 
• Advanced Programming 
• Database Systems 
• Big Data Mining Techniques and Implementation* 
• Big Data Management* 
• Data Mining and Knowledge Discovery*
• Database Performance Tuning*

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

Elective Modules

• Contemporary Topics in Security*
• Cybersecurity*
• Ethical Hacking* 
• Systems Administration*
• Web Server Programming* 
• Interactive Computer Graphics* 
• Game Engine Essentials* 
• Mobile Multimedia 
• 3D Modelling and Animation* 
• Cryptography and Secure Applications* 
• Network Security* 
• System Security* 
• Multicore and GPU programming* 
• Business Process Management* 
• Strategic eBusiness Solutions 
• Frontend Web Programming 
• Principles of eBusiness
• Management Information Systems* 
• Knowledge & Information Engineering 
• Introduction to Management 
• Accounting Fundamentals in Society 
• Business Communications 
• Marketing Principles 
• Accounting in Organisations 
• Managing Human Resources 
• Organisational Behaviour 
• Organisational Analysis 
• Management of Change 
• Statistics for Business 
• Economic Essentials for Business
• Industry and Trade in Asia 
• Strategic Systems Management
• Mobile Application Development
• Fundamental Programming with Python
• Distributed Systems and Cloud Computing*

* 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.