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Master's DegreePostgraduate Coursework / Mixed Mode / ODLPart Time

Verified programme sheet

Master of Science in Engineering Business Management

Multimedia University (MMU), Malaysia logo
Multimedia University (MMU), Malaysia
Faculty of Artificial Intelligence & Engineering (FAIE)Master

Master of Science in Engineering Business Management is a master's degree route in engineering and technology at Multimedia University (MMU), Malaysia under postgraduate coursework / mixed mode / odl. Review the verified field sheet below for admissions, fees, recognition, and official source links.

Duration: Full-time: minimum 1 year, maximum 3 years; Part-time: minimum 2 years, maximum 5 yearsAward: Master17 official sources

Duration

Full-time: minimum 1 year, maximum 3 years; Part-time: minimum 2 years, maximum 5 years

Tuition

The current postgraduate guide indicates this programme has a published fee, but the exact figure was not clearly readable in the accessed source. Please verify directly with MMU IPS / Finance.

Intakes

March/April and October/November (as published on MMU postgraduate sources).

Campus

Cyberjaya

Admissions

Entry, English, and application checks

These details are taken directly from the verified programme markdown and surfaced in full below.

Academic entry

Bachelor's degree in Engineering / Business / Management or related fields with minimum CGPA 2.50; OR CGPA 2.00–2.49 subject to internal assessment; OR non-related bachelor's degree with minimum CGPA 2.00 plus at least 2 years relevant work experience subject to assessment; OR non-related bachelor's degree with minimum CGPA 2.00 without the work-experience threshold subject to assessment and prerequisite courses; OR equivalent qualifications recognised by the Malaysian Government.

English requirement

Minimum IELTS overall band 5.0 or equivalent.

Additional checks

The programme combines business/management with technology and engineering subjects.

Outcomes

Career pathways and progression

Shown exactly as published or summarised in the verified source.

Career prospects not explicitly listed on the official programme page.

Source Of Truth

Full verified programme sheet

Nothing is hidden here. Every parsed programme field from the markdown source is displayed below in order.

Institution Division

Faculty of Artificial Intelligence & Engineering (FAIE)

Award

Master

Study Mode

Full-time / Part-time

Duration

Full-time: minimum 1 year, maximum 3 years; Part-time: minimum 2 years, maximum 5 years

Campus / Location

Cyberjaya

Intake(s)

March/April and October/November (as published on MMU postgraduate sources).

Tuition Fee

The current postgraduate guide indicates this programme has a published fee, but the exact figure was not clearly readable in the accessed source. Please verify directly with MMU IPS / Finance.

Career Prospects

Career prospects not explicitly listed on the official programme page.

Entry Requirements

Bachelor's degree in Engineering / Business / Management or related fields with minimum CGPA 2.50; OR CGPA 2.00–2.49 subject to internal assessment; OR non-related bachelor's degree with minimum CGPA 2.00 plus at least 2 years relevant work experience subject to assessment; OR non-related bachelor's degree with minimum CGPA 2.00 without the work-experience threshold subject to assessment and prerequisite courses; OR equivalent qualifications recognised by the Malaysian Government.

English Language Requirements

Minimum IELTS overall band 5.0 or equivalent.

Additional / Specific Requirements

The programme combines business/management with technology and engineering subjects.

Accreditation / Recognition

Official programme page published by MMU.

Official Programme Link

Recognition

Award, delivery, and recognition

Useful for checking what is being awarded, where the programme sits, and how recognition is described.

Accreditation / Recognition

Official programme page published by MMU.

Award

Master

Field area

Engineering and Technology

Division

Faculty of Artificial Intelligence & Engineering (FAIE)

Study mode

Part Time

Programme family

Postgraduate Coursework / Mixed Mode / ODL

Institution Funding

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