Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems and Business Information Systems (Double Major) (Murdoch University)
Course Information
Description
Artificial Intelligence (AI) and Autonomous Systems professionals build AI software for smart systems used in driverless cars, smart robots, intelligent chatbots, and intelligent diagnostic systems.
This programme is designed to provide you with an in-depth understanding of the theory, methods, systems, software design and development used in Artificial Intelligence and Autonomous Systems that can be used in different industries and organisations.
You will be equipped with knowledge and hands-on experience with up-to-date technologies that prepare you for the workforce. The number of jobs emerging in Artificial Intelligence and Autonomous Systems is increasing yearly, driven by the need for productivity improvements and efficiencies in many industries across the globe.
The growth potential and limitless possibilities for innovation make it an exciting time to be studying Artificial Intelligence and Autonomous Systems, with students having the option of enrolling in either Single or Double Majors.
The programme can be completed in 16 months instead of 28 months. Applicants with a Polytechnic Diploma may be exempted from up to 12 units and can gain entry to Year 2 of the programme. Applicants with a Murdoch University-recognised Kaplan Diploma or a private Diploma may be exempted from up to 8 units and can also gain entry to Year 2 of the programme.
Graduation & Degree Awarded
Students who successfully complete and pass the units stipulated in the programme structure will be awarded the Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems and Computer Science from Murdoch University, Australia.
The Degree will be the same as that awarded to the on-campus graduates in Australia.
Entry Requirements
Applicants with a Polytechnic Diploma may be exempted from up to 12 units and can gain entry to Year 2 of the programme. Applicants with a Murdoch University-recognised Kaplan Diploma or a private Diploma may be exempted from up to 8 units and can also gain entry to Year 2 of the programme.
The Bachelor’s Degree programme accepts a wide range of qualifications with advanced standing.
These include:
Year 2 Entry
- Kaplan Diploma; OR
- Polytechnic Diploma; OR
- Other equivalent qualifications awarded by other Singapore-registered Private Education Institutions.
Year 1 Entry
Applicants for Year 1 entry will need to fulfil one of the following requirements:
- Completed GCE A-Level with a minimum of 6 points.
- An aggregate of 6 points from:
-
- Maximum of the best 3 A-Level subjects; OR
- A combination of A-Level and AS-Level subjects
- A-Level grades (A*=6, A=5, B=4, C=3, D=2, E=1)
- AS-Level grades (A=2.5, B=2, C=1.5, D=1, E=0.5)
At least 2 A-Level subjects must be included in the calculation. AS-Level subject attempted at A-Level is not eligible to be included.
- IB Diploma with a total score of 24 or higher, or other equivalent pre-university certifications.
- Other private and/or foreign equivalent qualifications will be assessed on a caseby-case basis.
Applicants admitted to the Bachelor’s Degree programme may be required to undertake bridging units to fulfil the prerequisite knowledge.
English Requirement
Applicants are required to meet the University’s English language requirement:
- An approved Diploma qualification or higher, where the language of instruction was English, OR
- GCE O-Level English Language or Literature in English with Grade C or better; OR
- IELTS 6.0 (with no band below 6.0)*; OR
- Kaplan Diploma in Professional Business English (PBEP) with a score of 75% (Distinction) or higher*; OR
- Any other equivalent English language qualification. Visit course webpage for more information
In all cases, the final decision on admission to the programme rests with the university.
*Applicable for international student
Career Opportunities
- AI Engineer
- AI Specialist
- Business Analyst
- Data Analyst
- Data Engineer
- Data Scientist
- Machine Learning Engineer
- Smart Systems Developer
Modules
Core Units
Artificial Intelligence and Autonomous Systems
- AI System Design
- Artificial Intelligence and Intelligent Agents
- Data Visualisation and Simulation
- Databases
- Information Technology Project Management
- Introduction to ICT Research Methods
- IT Professional Practice Project
- Machine Learning
- Principles of Computer Science
- Systems Analysis and Design
Computer Science
- Advanced Machine Learning and Artificial Intelligence
- Data Structures and Abstractions
- Databases*
- Information Technology Project Management*
- Intelligent Systems
- Introduction to ICT Research Methods*
- IT Professional Practice Project*
- Operating Systems and Systems Programming
- Principles Of Computer Science*
- Software Architectures
Students are required to complete the following common units:
- Career Learning: Managing Your Career^
- Building Employability Skills OR Consulting and Freelancing
Applicants may be required to complete general elective units to fulfil the required credit points.
*Units common to both majors need only be taken once.
^3-year Polytechnic Diploma holders are exempted, subject to University’s approval.
Year 1 Unit Outline available on course webpage — private Diploma and Polytechnic Diploma holders are exempted, subject to University’s approval.
Delivery Method
Students will attend a combination of lectures, tutorials and workshops in this programme, and they have the flexibility to plan their study schedule and attend classes once or twice a week depending on their study load. Classes are conducted on weekday evenings or weekends to suit the busy schedules of students enrolled in this programme. Each unit is supported with 24 contact hours.
The Pro Vice-Chancellor of Transnational Education and the Deputy Dean of Murdoch University are based in Singapore to oversee all academic aspects and ensure a high standard of academic delivery here.
Assessment Methods
Each unit is assessed by any combination of class participation, written assignments, project or examinations. Assessment methods may vary according to individual unit requirements.