Double Masters – Master of Business Administration – Master of Information Technology (Artificial Intelligence and Data Science)

Provided by: Kaplan Higher Education Academy

Awarded by: Murdoch University

Course Introduction

About the Programme
Double Masters – Master of Business Administration – Master of Information Technology (Artificial Intelligence and Data Science)
As data-driven decision making is becoming essential for organisations of all sizes, a question that arises is whether managers of the future should pursue a Data Science or Business Administration Postgraduate Degree. This Double Master’s Degree uniquely lets you combine both. The programme is designed for the needs of business leaders working with big data, and it is best suited to individuals working in technology-related fields who are ready to progress to more senior-level management positions.
As an IT professional, you need both business acumen and highly-specialised discipline skills to take your career into the future. This combined qualification will provide you with the skills you need to meet demands of the industry and boost your IT career opportunities. You will develop specialist skills in business and data analytics so you can work with big data and combine data science with business management. You will gain valuable knowledge and business insights, and also develop greater self-awareness as you learn to reflect on your leadership identity and attributes.
With the combined Master of Business Administration (MBA) and Master of Information Technology (MIT) Degree programme, you will gain high-level business skills with this specialised Data Science Postgraduate Degree. You will be able to expand your skills and knowledge base and set yourself apart in the IT industry.

Graduation & Degree Awarded
Students who successfully complete and pass the modules stipulated in the programme structure will be awarded 2 Postgraduate Degrees – the Master of Business Administration and the Master of Information Technology (Artificial Intelligence and Data Science) – from Murdoch University, Australia.
The Master’s Degrees will be the same as that awarded to the on-campus graduates in Australia.

Curriculum Overview

Commencement

January
May
September
Please contact our programme consultant to obtain a copy of the class schedule.

Minimum Class Size

20 students
Class may commence with fewer students than indicated above, subject to resource availability. In the event of cancellation, you will be notified at least 1 week before the programme commencement date, stated in your student contract with Kaplan, and our consultants will contact you to advise on a backup plan.

Area of Studies

Modules

Core Modules

Master of Business Administration

Accounting for Managers
Business Finance
International Business Negotiations
Leading the Engaged Enterprise
Organisational Behaviour and Management
Strategies for Growth and Excellence

Master of Information Technology (Artificial Intelligence and Data Science)

Artificial Intelligence
Business Analytics
Data Analytics
Data Resources Management
Foundations of Data Science
Information Technology Project Management

Elective Modules

(Choose 1 to 2 modules depending on the number of credit points)

Quantitative Research for Business
IT Group Project
Machine Learning

The elective will be determined by Murdoch University, depending on the applicant’s academic background.
The modules offered may vary depending on the applicant’s academic backgrounds.

Entry Requirements

Academic Requirements

This Degree programme accepts a wide range of qualifications, which includes:

Recognised Bachelor’s Degree in IT (AQF Level 7) and evidence of 2 years of professional work experience
Recognised non-IT Bachelor’s Degree and an approved Diploma in IT (AQF Level 8)
Recognised non-IT Honours Degree (AQF Level 8) and 5 or more years of relevant experience
Recognition of relevant and current informal or non-formal learning may be used for entry requirements and should be discussed with the Academic Chair. The applicant would have to demonstrate competence in statistical methods and analysis to the satisfaction of the Academic Chair to be considered for admission.

English Language Requirements

IELTS 6.0 (no band below 6.0) or equivalent

Applicants are required to meet Murdoch University’s English language requirement. Click here for more information.
In all cases, the final decision on admission to the programme rests with the University.

Fees & Funding

Tuition Fee

The total tuition fee covers university registration, lectures / tutorials / workshops and assessments such as assignments / tests / examinations / projects (where applicable), programme materials in digital format, Degree (if earned) and transcript.
S$40,373.60 payable in 5 instalments
Fee inclusive of 9% GST (applicable on or after 1 January 2024)
Receive a S$400 referral fee when you recommend a friend to enrol in our Degree programme*

Non-Refundable Application Fee

S$239.80
Fee inclusive of 9% GST (applicable on or after 1 January 2024)

Student Development Fee

S$283.40^*
Fee inclusive of 9% GST (applicable on or after 1 January 2024)
*Payment for this fee will be included in the first instalment.
The Student Development Fee covers the provision of a comprehensive range of initiatives aimed at enhancing the career and industry-readiness of Kaplan students, such as programmes aimed at improving interpersonal skills, technical and digital skills, as well as career advisory and job matching services.

GST

All fees indicated are inclusive of Goods and Services Tax (GST) at the prevailing rate of 9%. For more information on the GST revision, please refer to the Inland Revenue Authority of Singapore (IRAS) website. Please refer to the official price list for a detailed breakdown.
Fees remain subject to change. Applicant will be charged the prevailing fees and GST at the time of application. For more information about the programme, please contact our programme consultant.

Study Mode & Duration

Duration

24 months

Maximum allowed candidature period

12 credit points: 24 months
24 credit points: 48 months
36 credit points: 60 months
48 credit points: 72 months
72 credit points: 120 months
96 credit points: 144 months
120 credit points: 144 months
If a student fails to complete the programme within the candidature period, they will not be entitled to any recourse or refund.

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