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Entrance Year Sept 2024

Programme Code 23090

Stream Code

MAF (Full-time)
MAP (Part-time)

Mode of Study Mixed Mode

Normal Duration

1.5 years (Full-time)

2.5 years (Part-time)

Credits Required for Graduation 31

Local Application Deadline 30 Apr 2024

Non-Local Application Deadline 30 Apr 2024

Programme Leaders Programme Director
Prof. Xin Xu
BEcon, MPhil, PhD
Deputy Programme Director
Dr Vincent Cho
BSc, MEngSc, PhD

Remarks

Please complete all relevant fields and enclose necessary documents.

Incomplete applications cannot be processed promptly. 

Aims and Characteristics

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Programme Aims

This programme starts with the fundamentals of applying analytical techniques on big data for decision supports of an organisation, and progresses to in-depth studies of various application domains.

Characteristics

  1. Emphasises essential skills and knowledge of business analytics

  2. Applies domains of business analytics

  3. Covers theoretical knowledge and research findings of decision making using big data

  4. Offers opportunities to apply theories to investigating and solving business problems

  5. Focuses on the systematic training and development of skills and competence in business analytics

  6. Enhances the ability to solve big data problems

  7. Empowers students to achieve career potential via professional coaching and career services

Fee (For 2024/25 Intake)

HK$333,250 per programme (HK$10,750 per credit) for local and non-local students

Targeted Taught Postgraduate Programmes Fellowships Scheme
A total of 12 fellowships shall be awarded to local students. Please click here for details.

PolyU reserves the right to change or withdraw the fellowship at any time. In case of any dispute/disagreement, PolyU’s decision is final.

Messages from Alumni

The recent surge in large language models (LLMs) has reignited a longstanding question: How should we, as humans, position ourselves in a world where machines can perform the majority of intelligent tasks with

unprecedented efficiency?

 

Perhaps the same question was asked when the MSc in Business Analytics programme was founded in 2019 – because this curriculum was designed unlike any other similar programmes that the market offers. Instead of spoon-feeding information to students as LLMs do, students who dare to challenge themselves are offered a path to graduate by completing a research paper. This is where originality and imagination are fostered: when students are free to explore their interests and create knowledge with the building blocks they have acquired from foundation courses. This is also where the distinction between humans and bots becomes apparent.

 

In an era where our very existence is being threatened, it is crucial to stay abreast of the challenges ahead. This is also what makes this programme unique – by encouraging innovation and aspiring for creativity that can keep us competitive in an ever-changing world.

MAK Kit Kwan, Isaac

(2022/23 Graduate)
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In recent years, business analytics has evolved as a powerful and essential capability for firms in ever-changing and competitive markets. Data has become the new corporate asset. As the sea of data is vast and growing exponentially, executives must connect their data strategy to their analytics strategy to avoid drowning.

 

The MSc in Business Analytics programme aims to build deep competencies in the skills needed to implement and oversee data-driven business decisions. These include (i) collecting, organising, and transforming datasets, (ii) forming inferences and predictions from a vast volume of data, and (iii) improving business decision making through a proficiency with tools such as Python, SmartPLS, and SPSS.

 

As a commercial finance manager in the leading firm in the fast-moving consumer goods industry, I play a strategic role in driving the firm’s financial success. That is why it is essential for me to equip myself with strong analytical skills, mathematical skills, and application skills. I can leverage the knowledge and skills that I have learned from the programme to make extensive use of data to glean valuable insights, predict market changes, and ultimately improve strategic decisions. This enables me to drive business growth so that the firm optimises its margin and remains commercially competitive.

TEA Yin Ee, Agnes

(2022/23 Graduate)
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Subject Syllabi
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General Enquiries
(852) 2766 7381 / (852) 2766 7108
mm.msc@polyu.edu.hk

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