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Programme Structure


For MSc, students complete 31 credits

  • 4 Compulsory Subjects (3 credits each)
  • 1 AIE Subject (1 credit)
  • 6 Elective Subjects (3 credits each)
    OR
  • 4 Compulsory Subjects (3 credits each)
  • 1 AIE 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, 1 credit of AIE Subject and 3 Elective Subjects (22 credits in total), opt for the Postgraduate Diploma.

From 2025/26 Cohort onwards

  • MM5112 Organization and Management*
  • MM5412 Business Intelligence and Decisions*
  • MM5424 Management Information Systems*
  • MM5425 Business Analytics*
  • MM5T21 Academic Integrity and Business Ethics (non-chargeable)

Non-Dissertation Option

  • MM501 Research Methods
  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5995 MM MSc Career Workshop (0 credit)

Dissertation Option

  • MM501 Research Methods (3 credits)
  • MM594 Business Analytics Dissertation (9 credits)
  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5995 MM MSc Career Workshop (0 credit)

From 2024/25 Cohort

  • MM5112 Organization and Management*
  • MM5412 Business Intelligence and Decisions*
  • MM5424 Management Information Systems*
  • MM5425 Business Analytics*
  • MM5T21 Academic Integrity and Business Ethics (non-chargeable)

Non-Dissertation Option

  • MM501 Research Methods
  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5400 Launchpad to Advanced Analytics (0 credit)
  • MM5995 MM MSc Career Workshop (0 credit)

Dissertation Option

  • MM501 Research Methods (3 credits)
  • MM594 Business Analytics Dissertation (9 credits)
  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5400 Launchpad to Advanced Analytics (0 credit)
  • MM5995 MM MSc Career Workshop (0 credit)

2023/24 Cohort

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

Non-Dissertation Option

  • MM501 Research Methods
  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5400 Launchpad to Advanced Analytics (0 credit)
  • MM5995 MM MSc Career Workshop (0 credit)

 

Dissertation Option

  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5400 Launchpad to Advanced Analytics (0 credit)
  • MM5995 MM MSc Career Workshop (0 credit)
  • MM501 Research Methods (3 credits)
  • MM594 Business Analytics Dissertation (9 credits)

2022/23 Cohort

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


Non-Dissertation Option

  • MM501 Research Methods
  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • 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
  • MM5913 Field Study for Business Management
  • MM5400 Launchpad to Advanced Analytics (0 credit)
  • MM5995 MM MSc Career Workshop (0 credit)

Dissertation Option

  • MM5203 Decision Making for Leadership
  • MM531 Strategic Management
  • MM534 Entrepreneurship 
  • MM5413 Business Forecasting
  • MM5426 Business Applications of Blockchain
  • MM5427 Textual Analysis in Business
  • MM5433 Decision Analytics by Machine Learning
  • MM544 E-Commerce
  • MM5451 Technology Innovation and Management
  • MM5452 Seminars in Emerging Technology
  • 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
  • MM5913 Field Study for Business Management
  • MM5400 Launchpad to Advanced Analytics (0 credit)
  • MM5995 MM MSc Career Workshop (0 credit)
  • 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. 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 the normal duration can submit a request to the Department of Management and Marketing for consideration.

The programme offers a structured progression pattern. Students are encouraged to follow the pattern to benefit from the cohort-based structure. Classes are normally scheduled on weekday evenings, with some daytime classes for full-time students. Each 3-credit 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 2025/2026
 
Programme Requirement Document 2024/2025  BA_24_25
Programme Requirement Document 2023/2024 Cover 2223_BA
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

We live in an era of rapid technological advancement, where AI and new tools are increasingly shaping the way we work and live. In this fast-changing environment, the ability to adapt, learn continuously, and embrace innovative approaches has become essential for personal and professional growth.

The MSc in Business Analytics programme at PolyU helped me gain hands-on experience with analytical tools such as SPSS, SmartPLS, and coding-based projects. The programme emphasised practical application, which allowed me to work on real-world problems and develop skills that go beyond theory.

The guidance from professors and the support of peers were invaluable. Coming from a more theoretical background, I witnessed how this programme transforms students from diverse fields, helping us build confidence, analytical thinking, and teamwork skills. The collaborative environment fosters personal growth in ways I had never imagined.

I am deeply grateful for the mentorship, friendships, and experiences that shaped my journey. Today, as I apply these skills in the financial sector, I carry forward not only technical expertise but also the inspiration and values nurtured at PolyU. 

 

XIE Yulong 

(2025/26 Graduate)
BA_ Xie Yulong

Coming from a non-data background, transitioning into a data analyst role was a deliberate choice, and PolyU's MSc in Business Analytics gave that transition a solid academic foundation.

This programme stands out in how seamlessly it bridges business thinking with analytical depth. Studying part-time while working full-time, I could immediately apply what I learned, from machine learning models to forecasting techniques, directly to workplace challenges. The curriculum never lets you choose between being a business professional and a data practitioner; it trains you to be both.

The breadth of subjects also surprised me. Alongside core analytics, I engaged with topics such as blockchain applications, textual analysis, risk management, and business ethics, giving me a fuller picture of how data-driven decisions operate within broader organisational and ethical contexts.

For anyone coming from a non-technical background, this programme is genuinely accessible yet intellectually demanding. It gave me the confidence and credentials to grow in my career, and the structured learning helped me connect experiences I had accumulated in practice with frameworks that made me a sharper, more well-rounded analyst. 

 

TANG Wing Yan, Ariel

(2025/26 Graduate)
BATANG Wing Yan Arieledited
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(852) 2766 7117 / (852) 2766 7108
mm.msc@polyu.edu.hk

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