The Master of Applied Computing (MAC) programme is committed to educating the next generation of world-class innovators.  In a bid to sustain a culture of empowerment and innovation, it is the programme’s mission to develop critical human capital for the knowledge economy as well as forge broader Taylor’s University academic-industry partnerships.

There are two specialisations for the MAC programme: Artificial Intelligence and Data Science. 

INTAKES

MARCH & AUGUST

PROGRAMME STRUCTURE

The programme focuses on developing critical reasoning and technical writing skills as well as professional presentation skills which is excellent preparation for seeking careers in software-related computing fields. 

YEAR 1

Core Modules 

• Principles of Programming
• Big Data Management
• Principles of Artificial Intelligence

• Principles of Data Science
• Research Methodology

Artificial Intelligence Specialisation 

• Image and Text Processing
• Robotic Automation Using AI Techniques

• Data Analytics and Machine Learning

Data Science Specialisation 

• Data Engineering
• Data Analytics and Machine Learning

• Data Visualisation

Dissertation

• Capstone Project I and II

ENTRY REQUIREMENTS

A Bachelor’s Degree (Level 6 MQF) or its equivalent, with a minimum CGPA of 2.75; OR

A Bachelor’s Degree (Level 6 MQF) or its equivalent, with CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment process; OR

Bachelor’s Degree (Level 6 MQF) or its equivalent, with CGPA less than 2.50, with a minimum of 5 years working experience in a relevant field may be accepted subject to rigorous internal assessment process.

Students without experience in Computing, will have to complete and pass a Bridging module; ITS70102 Fundamentals of IT before undertaking the core modules of the programme.

For international students: IELTS 6.0 / TOEFL 600 (May join IEN preparatory course and achieve the IELTS score)

*Terms and Conditions Apply. 

*All information is subject to change. 

FUTURE CAREERS

When you’ve successfully completed this programme, you could advance to any of these exciting careers, including:

Artificial Intelligence Specialisation:

• AI Researcher
• Intelligence Specialist
• Consultant
• AI Data Analyst
• Machine Learning Programmer

• Machine Learning Engineer
• Robotics R&D Engineer
• Machine Vision Engineer
• Artificial Intelligence Analyst
• Deep Learning Scientist

Data Science Specialisation:

• Data Engineers
• Data Analyst
• Business Analyst
• Data Scientist
• Chief Technology Officer (CTO)
• Data Analytics Manager
• Business Analyst Manager

• Data Innovation Manager
• Machine Learning Scientist
• Business Process Engineer
• Data Wrangler / Munger / Miner
• Business Intelligence Manager
• Analytics & Reporting Manager
• Decision Analytics Manager

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