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Programme Structure

For MSc, students complete 31 credits

  • 4 Compulsory Subjects (3 credits each)
  • 1 Ethics Subject (1 credit)
  • 6 Elective Subjects (3 credits each)
    OR
  • 4 Compulsory Subjects (3 credits each)
  • 1 Ethics Subject (1 credit)
  • 2 Elective Subjects (3 credits each)
  • the subject Research Methods (3 credits) and a Dissertation (9 credits)

 

Students may, on completion of 4 Compulsory Subjects and 3 Elective Subjects (21 credits), opt for the Postgraduate Diploma.

From 2022/23 Cohort onwards

  • MM5112 Organization and Management*
  • MM5412 Business Intelligence and Decisions*
  • MM5424 Management Information Systems
  • MM5425 Business Analytics*

Non-Dissertation Option

    • MM501 Research Methods
    • MM531 Strategic Management
    • MM5413 Business Forecasting
    • MM5426 Business Applications of Blockchain
    • MM544 E-Commerce
    • MM5451 Technology Innovation and Management
    • MM5452 Seminars in Emerging Technology
    • MM5453 Transformation to Sustainable Smart Cities
    • MM576 Marketing Management*
    • MM5831 Social Media Marketing
    • LGT5102 Models for Decision Making
    • LGT5105 Managing Operations Systems
    • LGT5113 Enterprise Resource Planning
    • LGT5122 Applications of Decision Making Models

Dissertation Option

  • MM501 Research Methods (3 credits)
  • MM594 Business Analytics Dissertation (9 credits)
  • MM531 Strategic Management
  •  MM5413 Business Forecasting
  • MM5426Business Application of Blockchain
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • MM5453 Transformation to Sustainable Smart Cities
  • MM576 Marketing Management*
  • MM5831 Social Media Marketing
  • LGT5102 Models for Decision Making
  • LGT5105 Managing Operations Systems
  • LGT5113 Enterprise Resource Planning
  • LGT5122 Applications of Decision Making Models

From 2019/20 Cohort onwards

  • MM5112 Organization and Management*
  • MM5412 Business Intelligence and Decisions*
  • MM5425 Business Analytics*
  • MM576 Marketing Management*


Non-Dissertation Option

    • MM501 Research Methods
    • MM5231 Strategic Human Resource Management
    • MM531 Strategic Management
    • MM5413 Business Forecasting
    • MM5424 Management Information Systems
    • MM5426 Business Application of Blockchain
    • MM544 E-Commerce
    • MM5451 Technology Innovation and Management
    • MM5452 Seminars in Emerging Technology
    • MM5453 Transformation to Sustainable Smart Cities
    • MM5831 Social Media Marketing
    • LGT5102 Models for Decision Making
    • LGT5105 Managing Operations Systems
    • LGT5113 Enterprise Resource Planning
    • LGT5122 Applications of Decision Making Models

Dissertation Option

  • MM5231 Strategic Human Resource Management
  • MM531 Strategic Management
  • MM5413 Business Forecasting
  • MM5424 Management Information Systems
  • MM5426Business Applications of Blockchain
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • MM5453 Transformation to Sustainable Smart Cities
  • MM5831 Social Media Marketing
  • LGT5102 Models for Decision Making
  • LGT5105 Managing Operations Systems
  • LGT5113 Enterprise Resource Planning
  • LGT5122 Applications of Decision Making Models

 

  • MM501 Research Methods (3 credits)
  • MM594 Business Analytics Dissertation (9 credits)
  • The offering of subjects is subject to class quota availability. Students may also choose from a list of "Common Pool Electives", subject to the prescriptions of programme curriculum.
  • Programme structure, course names and content are subject to continuous review and change.

    cef_logo * These subjects have been included in the list of reimbursable courses under the Continuing Education Fund with effect from 4 May 2020. The programme (MSc in Business Analytics) is recognised under the Qualifications Framework (QF Level 6).

 

Mode of Study and Duration

Mode of study: Mixed-mode

Students can pursue their studies with either a full-time study load (9 credits or more in a semester) or a part-time study load (less than 9 credits in a semester).

Students normally complete the programme full-time in 1.5 years or part-time in 2.5 years. Students who wish to extend their studies beyond normal duration can submit such request to the Department of Management and Marketing for consideration, as appropriate.

The programme offers a structured progression pattern. Classes are normally scheduled on weekday evenings. Each subject requires 39 contact hours over a teaching semester, with one 3-hour class per week.

Current students can refer to the Programme Requirement Document for more details about the programme.

 

Programme Requirement Document

 Programme Requirement Document 2022/2023  Cover 2223_BA
 Programme Requirement Document 2021/2022    BA_21_22
 Programme Requirement Document 2020/2021  BA_20_21
 Programme Requirement Document 2019/2020   BA_19_20

 

 

Messages from Alumni

In today's business environment, big data and analytics are becoming increasingly important for enterprises of all kinds, marketing is no longer just an art of intuition and inspiration. In addition to storytelling, it is important to use a statistically proven process to find the target audience. The learning journey of the MSc BA demonstrated the power of business analytics methods such as customer profile clustering, Apriori algorithm, behavioural prediction modelling, and more. It expanded my perspective with statistical analysis techniques and provided the specialist skills I need for my career as a business analyst.

 

Currently, I work for an industry-leading company, responsible for developing new models to support business decision-making on initiatives and strategies. I play a key role in improving business efficiency and adding value through data analytics to identify needs and provide data-driven recommendations. I am pleased to be able to contribute valuable insights to my work that leverage the knowledge and skills learned from this programme.

MOK Wan Yee, Winny

(2020/21 Graduate)
Winny Mok_resized_200x200

In information generation, data intelligence is ruling our daily life like recommendation systems, behavior profiling, decision optimization, robotic automation, and more. So, business analytics is an extremely important weapon to systematically describe, predict and prescript companies’ problems and solutions. Analytical techniques application is not just only science of building codes and scripts, but it is a series of humanized methodologies to link those untouchable observations to actionable calls.

 

The MSc BA programme offers a well-structured syllabus for learners to choose their path. For me, I have chosen a technical way to finish my programme, certainly, this programme enhanced my ability to solve big data problems, and it has enlightened me to become a proficient business analyst by demonstrating the professional use of analytical techniques such as business intelligence, statistics, data analytics and strategic thinking. However, what impressed me the most was the opportunities to apply theories to discovering and solving business pain points, which also expanded my ability to interpret complicated business problems into simple insightful stories.

MA Dickson

(2020/21 Graduate)
Ma Dickson_resized_200x200
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General Enquiries
(852) 2766 7381 / (852) 2766 7952
mm.msc@polyu.edu.hk

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