MSc in Information and Technology Management (Part-time)
Pioneer Innovative Technologies

In today’s globalised marketplace, advancement in information technology is fundamental to success. The MSc in Information and Technology Management is designed to equip managers with cutting-edge IT knowledge and skills to enhance the productivity and competitiveness of their organisations. The MSc in Information and Technology Management trains you in the latest technical and managerial skills required to pursue a successful career in the new global, knowledge-based economy.

Comprehensive Training

The curriculum offers a range of courses in information and technology management, database and big data management, business intelligence techniques, statistical analysis, project management, enterprise resource planning and decision making.

Connections With the Industry

Our courses are taught by internationally renowned professors and respected professionals from relevant fields. You will also have the opportunity to hear from distinguished industry leaders sharing their views on critical issues.

See Curriculum
Key Facts
Duration
Part-time: 24 months

*Full-time mode is offered under a programme – MSc in Information Science and Technology Management.
Programme Commencement
September
Entry Requirements
  • A bachelor’s degree with Second Class honours or achieving an average grade of B from a recognised university, or an equivalent professional qualification.
  • English language proficiency
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Set Yourself Apart from the Competition
Interact with Technology Giants

The Technology Field Study residential programme offers a once-in-a-lifetime opportunity to visit inspirational technology giants and research and development centres in Silicon Valley or other similar science parks in Asia, and discuss IT management-related issues with university professors and top executives.

Practical Skills for the Real World

We provide hands-on experience with real-life cases and scenarios throughout the curriculum. The Advanced Information Systems Practicum instils practical skills that you can apply in the workplace directly. You will also have opportunities to exchange ideas with renowned industry experts and leaders.

Harness Global Connections

Hong Kong, a modern metropolis that connects Chinese Mainland with the rest of the world, is an ideal location to study and gain international exposure. By interacting with peers from a broad spectrum of backgrounds, you can learn to address issues from different perspectives and expand your horizons.

Leverage In-demand Skills

Information technology is particularly important for service industries in which efficiency is the key to maintaining a competitive edge, such as finance, insurance, real estate, transport logistics and hospitality. Cloud computing and storage, network security, big data and business analytics are the central focus of successful organisations, with a high demand for skilled professionals. By the end of this programme, you will be ready for a prominent career in the sector of your choice.

Leading the Way in the Digital Economy
Diversified Employment Directions for Graduates
See Careers
Overview

This course is for graduates with an engineering or business background, who want to acquire both the cutting-edge IT proficiency and gaining a solid foundation in technology management.

To complete the programme, you will need to attain 30 credits of coursework, comprising of 5 required courses and 5 elective courses worth 3 credits each.

Part-time students will study in the evenings or on Saturdays in the Central or Shatin campus. Elective courses are taken by both full-time and part-time students, encouraging a culture of shared experiences to enhance the quality of learning.

Programme Schedule

*Courses and timelines are subject to change.

Part-time Programme (24 Months)*
Year 1
Year 2
Term 1
Sep-Nov
  • 2 required courses
  • 1 required course
  • 1 elective course
Term 2
Dec-Mar
  • 1 required course
  • 1 elective course
  • 1 required course
  • 1 elective course
Term 3
Mar-Jun
  • 2 elective courses
Summer Term (Optional)
Jul
Course List
Required Courses (Total 5 Courses / 15 Credits)
Elective Courses Offered by MSc in Information and Technology Management
Elective Courses Offered by MSc in Business Analytics (Subject to Seat Availability and Approval by Respective Programme Directors)
Other Elective Courses
This course aims to train students to extract patterns in vast amounts of data and discover actionable insights. It emphasises the current issues, methodologies, practices, and emerging trends in machine learning. Students will learn key machine learning techniques to address existing business problems in today's information-rich environments. Upon completing this course, students will build their analytical capabilities to use data for innovative business solutions. We will use Python as a language tool for machine learning during the course.
This course covers the management of projects. A major focus is on how to manage various projects to successful completion within the constraints of resources and time. Included in the contents are the frameworks for proposal writing and planning, monitoring and controlling, and performance evaluation. Various project management techniques are covered including PERT/CPM and project appraisal. Case studies and field projects as well as lectures will be used as teaching methods. Graduates from this course can apply for membership of the Project Management Institute (PMI).
This course discusses the role of information technology (IT) in corporate strategy, along with its strategic, organisational, and technical issues in management and use. Topics include IT and business strategy alignment, IT-enabled business process reengineering, IT outsourcing, information systems planning and management, e-commerce technology and management, as well as business intelligent and analytics. Emphasis of the course is on how IT can contribute to organisational effectiveness.
This course focuses on both business data and contemporary big data modelling and management. We will examine the different natures of data and big data, selection and representation as well as use of suitable methods and tools for storing and accessing them. Topics such as data integrity, DBMS, data warehousing, NoSQL and MapReduce are covered.
This course is intended to equip students with the basic statistical tools required for the quantitative analysis of business problems. Topics include basic sampling and analysis of data, probability distribution functions, estimation of parameters and hypothesis testing, goodness-of-fit tests, analysis of variance, simple egression, correlation, and basic non-parametric statistical methods.
This course aims to train students to extract patterns in vast amounts of data and discover actionable insights. It emphasises the current issues, methodologies, practices, and emerging trends in machine learning. Students will learn key machine learning techniques to address existing business problems in today's information-rich environments. Upon completing this course, students will build their analytical capabilities to use data for innovative business solutions. We will use Python as a language tool for machine learning during the course.
This course focuses on both business data and contemporary big data modelling and management. We will examine the different natures of data and big data, selection and representation as well as use of suitable methods and tools for storing and accessing them. Topics such as data integrity, DBMS, data warehousing, NoSQL and MapReduce are covered.
This course covers the management of projects. A major focus is on how to manage various projects to successful completion within the constraints of resources and time. Included in the contents are the frameworks for proposal writing and planning, monitoring and controlling, and performance evaluation. Various project management techniques are covered including PERT/CPM and project appraisal. Case studies and field projects as well as lectures will be used as teaching methods. Graduates from this course can apply for membership of the Project Management Institute (PMI).
This course is intended to equip students with the basic statistical tools required for the quantitative analysis of business problems. Topics include basic sampling and analysis of data, probability distribution functions, estimation of parameters and hypothesis testing, goodness-of-fit tests, analysis of variance, simple egression, correlation, and basic non-parametric statistical methods.
This course discusses the role of information technology (IT) in corporate strategy, along with its strategic, organisational, and technical issues in management and use. Topics include IT and business strategy alignment, IT-enabled business process reengineering, IT outsourcing, information systems planning and management, e-commerce technology and management, as well as business intelligent and analytics. Emphasis of the course is on how IT can contribute to organisational effectiveness.

Notes:

  • Course offering in any single academic year is based on instructor and facility availability. Some courses may be offered every alternate year.
  • Some courses may be offered in the form of intensive course
  • The number of seats for elective courses offered by other programmes are decided by the offering programmes.
This course bridges the gap between classroom and real world. It requires students to complete a real-world information systems project, in collaboration with a company or an organisation. Students are required to form a project team, under the joint supervision of a teacher and an executive of the sponsoring company.
This course consists of preparatory assignments in readings and a written study plan, followed by a five to seven-day residential programme in a selected country or economy outside of Hong Kong and concluded with a written report and oral presentation. The residential programme will include site visits to state enterprises, joint ventures and manufacturing facilities as well as lectures, seminars and discussions with local and international company executives. The goal in taking learning sessions abroad is for Master’s students to expose to a wide spectrum of issues related to business operations, management and innovation in different nations and/ or regions. Through discussions with local government officials, managers and academics, trade, economics, finance, market, ventures, management practices, technologies, as well as geopolitics and social issues are highlighted.
This course discusses the concepts and principles of data communications and computer networks. It prepares students to make intelligent and informed decisions about moving voice, data, image and video between locations securely, by making them aware of the benefits, drawbacks, and effects related to various data communication technologies. Students will also learn how to make policy, design, and installation decisions related to planning and implementing data communication and network applications.
Advance in information technology has already started a revolution in the financial industry. Every part of the financial service system is affected, from daily payment to long-term investment, from efficiency gain to logic transformation. The pace of change is fast. Too fast to catch, yet too critical to miss. Institutions which can leverage the new technologies gain superior market insights, create new business models, and will become the future leaders of the financial service industry. Individuals who can understand and work with FinTech open new gates for investment and career development. This course introduces FinTech and examines opportunities and challenges. It seeks to equip students with both a deep and practical understanding of emerging technology in the FinTech arena as well as the necessary coding skills to tackle future demand. We are going to cover topics such as the fundamentals of the financial service system, technology disruption, data management and visualisation, financial data mining (Python), quantitative trading and artificial intelligence, crowdfunding, blockchain technology, and RegTech. Applications on practical FinTech problems are emphasised with case discussions and programming assignments. While we will work with computer codes, this course does NOT assume any programming background from students.
This course provides students with knowledge and experience of analyzing the essential aspects of information systems in the real world. Emphases will be placed on the object-oriented analysis techniques using the Unified Modeling Language. Various key business activities will be discussed. This course will also explain the importance of business IS controls in contemporary IT governance. A business framework for the management of enterprise IS will be investigated.
As a second part of machine learning for business, this course provides a holistic overview of advanced machine learning and artificial intelligence models, as well as their mathematical and programming background. It covers, together with others, some commonly used machine learning and deep learning methods such as support vector machine, ensemble models, stacked generalisation, and deep learning models. This course emphasises understanding the intuition behind the methods and on applying them to business practices. It helps build hands-on experiences by using business data and Python, an analytics software package. Taking the first part and having certain coding knowledge will be needed for this course, and a decent familiarity with basic quantitative content (such as linear algebra, optimisation, and probability/statistics) will also be required.
This course provides students with the basic knowledge to design and develop Android applications for mobile devices. Students will work directly with the Java programming language and the latest Android developer tools, with the goal of enabling students to produce fully functional prototypes independently. This course will also place some emphasis on developing web applications using JavaScript. The basic concepts of client server architecture and simple Java Server Pages (JSP) will also be introduced.
This course covers the concepts, insights, practical tools, and decision support systems for the effective management of the supply chain. This course will convey both the intuitions behind many key supply chain and logistics management concepts and to provide simple techniques that can be used to analyze various aspects of the supply chain and logistics management. The role of supply chain and logistics management in the age of eBusiness will be addressed. Through readings and case studies, we will identify the current and prospective supply chain practices.
This is a practical course on entrepreneurial business management as a living skill to start, build and grow a technology enterprise. Learn by creating a new business based on the know-how and wisdom from Silicon Valley to Asia, including evaluating business opportunities, innovation, generating business model, business plan, team building, competition analysis, IP, financing, growth, Silicon Valley and Asian business culture.
This course provides a dynamic shared ledger that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be a revolutionary technology that is just as impactful as the Internet. It is radically transforming financial services, supply chains, and other business services, as well as creating new opportunities for innovation. This course aims to provide students with basic knowledge of Blockchain and its practical applications in various business fields. It introduces the basic concepts and technologies of Blockchain with the technology’s initial application, the cryptocurrency Bitcoin. Students will then gain an understanding of the commercial, technical, and public policy fundamentals of Blockchain technology and smart contracts in both public and private applications. Finally, the class will discuss current and potential Blockchain applications in various business domains.
This course provides an overview of the threats to networked organisations. Students will learn and understand the key issues associated with cyber space security, skills required to respond to security incidents, and knowledge needed to design security systems and protect security intrusions. Its coverage includes a variety of concepts and topics related to the securing of networked, cloud, and mobile processing environments.
Enterprise Resource Planning (ERP) is an integrated information technology to manage companywide business processes. The topics include two aspects: enterprise resource planning system and the ERP project implementation issues. This course will also introduce the evolution of ERP, concepts and application of ERP. The topics of enterprise systems will mainly brief on the core modules along the value chain such as product development, order fulfillment, production and others. Finally, the “ERP and beyond” will address how the latest developments of ERP be extended to fulfill the new demand of more enterprise initiatives. Students will be requested to work on a group project.
This course introduces generative artificial intelligence (AI) and its applications in business contexts. It covers key generative AI techniques, including deep learning, text generation, image generation, and other AI-driven solutions. The course also discusses opportunities for applying these techniques in business areas such as customer engagement, product design, and personalised marketing, as well as the associated challenges.
Information technology becomes more and more important in our business sector. Issues relating to information technology and law, such as privacy and location surveillance, digital signature, copyright, outsourcing and contracts are essential to our daily life. This course examines the link between IT law and business operations; it offers a clear picture to students who are at executive level with no related legal background. Topics will include introduction of the Hong Kong Legal System; Contract Law; Torts Law; internet impact on legal systems; IT and IP Laws in business operations and procedures.
This course is designed for students to learn the latest theories, frameworks, concepts, techniques and to apply them in meeting the special challenges of managing service operations. The focus is to develop analytical thinking skills that will enable students contemplating careers in services to develop, evaluate and implement strategies for a wide range of service producing organisations. Topics will include: 1) the importance and economics of customer loyalty and approaches to build customer loyalty; 2) formulation and implementation of service strategies and the strategic service vision for greater business success; 3) management of the operational behaviour of customers in service delivery; 4) design of sustainable service models that successfully incorporate a customer’s operating role; 5) analyses of customer data to inform managerial decision making; and 6) management of changes in service settings.
This course is designed to investigate and to discuss selected topics of current interests in the area of information and technology management.
This course consists of preparatory assignments in readings and a written study plan, followed by a five-day residential programme to Silicon Valley, California or similar Sciences Park in Asia. The course is concluded with a written report and an oral presentation. The goal in taking classroom sessions abroad is to expose our graduate students to a wide spectrum of issues related to IT business, which includes research and development, company culture, and ways to manage a technology company. The issues are highlighted through lectures or seminars by university professors, and visits to world class companies or Research and development Centres. Students will have chance to discuss with top executives from these companies. Through this course, students will be able to understand the strategies companies adopted, and solutions in tackling business issues.
This course bridges the gap between classroom and real world. It requires students to complete a real-world information systems project, in collaboration with a company or an organisation. Students are required to form a project team, under the joint supervision of a teacher and an executive of the sponsoring company.
This course provides a dynamic shared ledger that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be a revolutionary technology that is just as impactful as the Internet. It is radically transforming financial services, supply chains, and other business services, as well as creating new opportunities for innovation. This course aims to provide students with basic knowledge of Blockchain and its practical applications in various business fields. It introduces the basic concepts and technologies of Blockchain with the technology’s initial application, the cryptocurrency Bitcoin. Students will then gain an understanding of the commercial, technical, and public policy fundamentals of Blockchain technology and smart contracts in both public and private applications. Finally, the class will discuss current and potential Blockchain applications in various business domains.
This course consists of preparatory assignments in readings and a written study plan, followed by a five to seven-day residential programme in a selected country or economy outside of Hong Kong and concluded with a written report and oral presentation. The residential programme will include site visits to state enterprises, joint ventures and manufacturing facilities as well as lectures, seminars and discussions with local and international company executives. The goal in taking learning sessions abroad is for Master’s students to expose to a wide spectrum of issues related to business operations, management and innovation in different nations and/ or regions. Through discussions with local government officials, managers and academics, trade, economics, finance, market, ventures, management practices, technologies, as well as geopolitics and social issues are highlighted.
This course provides an overview of the threats to networked organisations. Students will learn and understand the key issues associated with cyber space security, skills required to respond to security incidents, and knowledge needed to design security systems and protect security intrusions. Its coverage includes a variety of concepts and topics related to the securing of networked, cloud, and mobile processing environments.
This course discusses the concepts and principles of data communications and computer networks. It prepares students to make intelligent and informed decisions about moving voice, data, image and video between locations securely, by making them aware of the benefits, drawbacks, and effects related to various data communication technologies. Students will also learn how to make policy, design, and installation decisions related to planning and implementing data communication and network applications.
Enterprise Resource Planning (ERP) is an integrated information technology to manage companywide business processes. The topics include two aspects: enterprise resource planning system and the ERP project implementation issues. This course will also introduce the evolution of ERP, concepts and application of ERP. The topics of enterprise systems will mainly brief on the core modules along the value chain such as product development, order fulfillment, production and others. Finally, the “ERP and beyond” will address how the latest developments of ERP be extended to fulfill the new demand of more enterprise initiatives. Students will be requested to work on a group project.
Advance in information technology has already started a revolution in the financial industry. Every part of the financial service system is affected, from daily payment to long-term investment, from efficiency gain to logic transformation. The pace of change is fast. Too fast to catch, yet too critical to miss. Institutions which can leverage the new technologies gain superior market insights, create new business models, and will become the future leaders of the financial service industry. Individuals who can understand and work with FinTech open new gates for investment and career development. This course introduces FinTech and examines opportunities and challenges. It seeks to equip students with both a deep and practical understanding of emerging technology in the FinTech arena as well as the necessary coding skills to tackle future demand. We are going to cover topics such as the fundamentals of the financial service system, technology disruption, data management and visualisation, financial data mining (Python), quantitative trading and artificial intelligence, crowdfunding, blockchain technology, and RegTech. Applications on practical FinTech problems are emphasised with case discussions and programming assignments. While we will work with computer codes, this course does NOT assume any programming background from students.
This course introduces generative artificial intelligence (AI) and its applications in business contexts. It covers key generative AI techniques, including deep learning, text generation, image generation, and other AI-driven solutions. The course also discusses opportunities for applying these techniques in business areas such as customer engagement, product design, and personalised marketing, as well as the associated challenges.
This course provides students with knowledge and experience of analyzing the essential aspects of information systems in the real world. Emphases will be placed on the object-oriented analysis techniques using the Unified Modeling Language. Various key business activities will be discussed. This course will also explain the importance of business IS controls in contemporary IT governance. A business framework for the management of enterprise IS will be investigated.
Information technology becomes more and more important in our business sector. Issues relating to information technology and law, such as privacy and location surveillance, digital signature, copyright, outsourcing and contracts are essential to our daily life. This course examines the link between IT law and business operations; it offers a clear picture to students who are at executive level with no related legal background. Topics will include introduction of the Hong Kong Legal System; Contract Law; Torts Law; internet impact on legal systems; IT and IP Laws in business operations and procedures.
As a second part of machine learning for business, this course provides a holistic overview of advanced machine learning and artificial intelligence models, as well as their mathematical and programming background. It covers, together with others, some commonly used machine learning and deep learning methods such as support vector machine, ensemble models, stacked generalisation, and deep learning models. This course emphasises understanding the intuition behind the methods and on applying them to business practices. It helps build hands-on experiences by using business data and Python, an analytics software package. Taking the first part and having certain coding knowledge will be needed for this course, and a decent familiarity with basic quantitative content (such as linear algebra, optimisation, and probability/statistics) will also be required.
This course is designed for students to learn the latest theories, frameworks, concepts, techniques and to apply them in meeting the special challenges of managing service operations. The focus is to develop analytical thinking skills that will enable students contemplating careers in services to develop, evaluate and implement strategies for a wide range of service producing organisations. Topics will include: 1) the importance and economics of customer loyalty and approaches to build customer loyalty; 2) formulation and implementation of service strategies and the strategic service vision for greater business success; 3) management of the operational behaviour of customers in service delivery; 4) design of sustainable service models that successfully incorporate a customer’s operating role; 5) analyses of customer data to inform managerial decision making; and 6) management of changes in service settings.
This course provides students with the basic knowledge to design and develop Android applications for mobile devices. Students will work directly with the Java programming language and the latest Android developer tools, with the goal of enabling students to produce fully functional prototypes independently. This course will also place some emphasis on developing web applications using JavaScript. The basic concepts of client server architecture and simple Java Server Pages (JSP) will also be introduced.
This course is designed to investigate and to discuss selected topics of current interests in the area of information and technology management.
This course covers the concepts, insights, practical tools, and decision support systems for the effective management of the supply chain. This course will convey both the intuitions behind many key supply chain and logistics management concepts and to provide simple techniques that can be used to analyze various aspects of the supply chain and logistics management. The role of supply chain and logistics management in the age of eBusiness will be addressed. Through readings and case studies, we will identify the current and prospective supply chain practices.
This course consists of preparatory assignments in readings and a written study plan, followed by a five-day residential programme to Silicon Valley, California or similar Sciences Park in Asia. The course is concluded with a written report and an oral presentation. The goal in taking classroom sessions abroad is to expose our graduate students to a wide spectrum of issues related to IT business, which includes research and development, company culture, and ways to manage a technology company. The issues are highlighted through lectures or seminars by university professors, and visits to world class companies or Research and development Centres. Students will have chance to discuss with top executives from these companies. Through this course, students will be able to understand the strategies companies adopted, and solutions in tackling business issues.
This is a practical course on entrepreneurial business management as a living skill to start, build and grow a technology enterprise. Learn by creating a new business based on the know-how and wisdom from Silicon Valley to Asia, including evaluating business opportunities, innovation, generating business model, business plan, team building, competition analysis, IP, financing, growth, Silicon Valley and Asian business culture.

*Machine Learning for Business I is the pre-requisite for Machine Learning for Business II and Generative Artificial Intelligence for Business.
Students are not allowed to take more than one field study trip (either Business Field Study or Technology Field Study).

Notes:

  • Course offering in any single academic year is based on instructor and facility availability. Some courses may be offered every alternate year.
  • Some courses may be offered in the form of intensive course.
  • The number of seats for elective courses offered by other programmes are decided by the offering programmes.
This course introduces knowledge used to model and analyze business processes, with an emphasis on quantitative skills. A simulation package will be introduced and will be utilised to evaluate business process performance and to facilitate the decision making on business process improvement. The knowledge learnt from the course can equip students with scientific competence and help them solve practical problems in various settings related to business process management.
The course focuses on the collection, analysis, and use of web data for business intelligence. Topics covered include web analytics concepts, web analytics technologies and techniques, visitor activity analysis methods, and web intelligence fundamentals. The course also evaluates practical, real-work analysis cases to demonstrate the strategic uses of web analytics for business intelligence and proper application of analytics techniques for online data optimisation.
This course covers the principal quantitative techniques used in solving financial, marketing, and operations problems in the private and public sectors. Topics include decision under uncertainty, Markov chain, linear programming, classical optimisation, dynamic programming, and integer programming.
This course introduces knowledge used to model and analyze business processes, with an emphasis on quantitative skills. A simulation package will be introduced and will be utilised to evaluate business process performance and to facilitate the decision making on business process improvement. The knowledge learnt from the course can equip students with scientific competence and help them solve practical problems in various settings related to business process management.
This course covers the principal quantitative techniques used in solving financial, marketing, and operations problems in the private and public sectors. Topics include decision under uncertainty, Markov chain, linear programming, classical optimisation, dynamic programming, and integer programming.
The course focuses on the collection, analysis, and use of web data for business intelligence. Topics covered include web analytics concepts, web analytics technologies and techniques, visitor activity analysis methods, and web intelligence fundamentals. The course also evaluates practical, real-work analysis cases to demonstrate the strategic uses of web analytics for business intelligence and proper application of analytics techniques for online data optimisation.

Notes:

  • Course offering in any single academic year is based on instructor and facility availability. Some courses may be offered every alternate year.
  • Some courses may be offered in the form of intensive course.
  • The number of seats for elective courses offered by other programmes are decided by the offering programmes.

You may take up to 6-credits-worth of elective courses offered by other Master’s programmes within CUHK Business School or Faculty of Engineering, subject to seat availability and approval by respective Programme Directors.

Notes:

  • Course offering in any single academic year is based on instructor and facility availability. Some courses may be offered every alternate year.
  • Some courses may be offered in the form of intensive course.
  • The number of seats for elective courses offered by other programmes are decided by the offering programmes.
Navigate Your Academic Journey

Subject to approval, you may be exempt from taking a course if you have completed an equivalent course in your postgraduate studies and achieved a grade B or above.  You may be exempt from a maximum of 6 credits, subject to approval, and will need to replace the credits with other elective courses.

If you hold a valid Project Management Professional (PMP credential with active certification status, you may apply for a waiver for the required course – Project Management.

Your performance is assessed based on exams and assignments, according to CUHK’s grading system.

To graduate, you must complete the prescribed coursework and achieve a cumulative grade-point average (GPA) of at least 2.50.

Students who obtain a cumulative GPA below 2.50 in the term assessment will be put on academic probation. If the probation is not lifted after two consecutive terms, the student will be required to discontinue his or her studies.

Students who receive a grade D+ or below in a course must repeat the course or take an approved substitute course.

Students in the top 20 percentile who achieve a cumulative GPA of 3.60 or above are eligible to be on the Dean’s List. These students will be issued a Dean’s List Certificate and the honour will be recorded on their academic transcripts.

Enhancing Academic Life
Overseas Study Trip

As part of the Technology Field Study elective course, you will have the opportunity to visit Silicon Valley in California or other similar science parks in Asia, and meet successful executives in the world’s leading corporations, start-up enterprises and universities.

Guest Lecturers

To help you keep up with industry trends, we regularly invite prominent IT professionals and business leaders to speak at the School. This offers a valuable opportunity for you to gain insights from their first-hand experience and discuss current issues and ideas in person.

Orientation

Team building orientation activities are organised to develop your interpersonal skills, leadership skills as well as communication skills.

Opportunity Conference

The Opportunity Conference is an annual business technology conference organised by the Department of Decisions, Operations and Technology (DOT Department). As an MScITM student, you can attend and gain valuable exposure to a wide spectrum of IT innovations. The conference provides a comprehensive overview of Hong Kong’s product research and development infrastructure, as well as a preview of the latest venture opportunities.

Leading the Way in the Digital Economy

The MSc in Information & Technology Management is designed to equip future business leaders with a mastery of technology innovations and propel them to the forefront of the industry.

Examples of graduate careers include:

  • Advancements to CIO/CTO
  • Data Risk Control Manager
  • IT Engineer
  • IT consultancy services
  • Systems analyst
  • Computer network architect
  • Business process analyst

Key Stats

  • About 46% of graduates of the part-time programme are working in IT.
  • More than 88% of graduates agreed that “the knowledge and skills acquired are useful for my current and/or future employment.”*

* CUHK Graduate School Survey on Graduates of Taught Postgraduate Programme 2022-2023.

Where Our Graduates Work

Our graduates have an excellent employment record, landing positions in companies like Apple, HSBC, IBM and more.

  • Alibaba
  • Apple
  • AXA
  • Baidu
  • Bank of China
  • Cisco
  • DBS
  • Dell
  • Ernst & Young
  • Fujitsu
  • Google
  • Hewlett-Packard
  • HSBC
  • IBM
  • JP Morgan Chase
  • KPMG
  • Microsoft
  • Office of the Government Chief Information Officer
  • Ogilvy & Mather
  • PCCW
  • PriceWaterhouseCoopers
  • Tencent
  • The Walt Disney Company
  • Thompson Reuters
  • Yahoo!

Targeted Taught Postgraduate Programmes Fellowships 2023-24 Awardee Manager, Bank of China (Hong Kong)

The MScITM programme at CUHK has been an inspiring journey that broadened my knowledge in technology and management, enriching both my academic and professional growth. The overseas field trip provided valuable exposure to global innovation, while the strong alumni network created lasting connections across industries. Together with practical insights into digital transformation and IT strategy, the programme has prepared me to embrace new challenges and drive innovation in my career.

Nicole Chan
MScITM 2025

Dean’s List Awardee Manager, KPMG

Taking part in this programme has been a transformative experience. From exploring cutting-edge technologies like AI and FinTech to collaborating with classmates from diverse backgrounds, the journey has been both inspiring and rewarding. The field trip to Silicon Valley was an unforgettable highlight, offering incredible opportunities to connect with industry professionals and gain valuable insights. The ITM programme has prepared me to embrace challenges confidently in the ever-evolving digital landscape.

Janice Hung
MScITM 2025

Head of Investment and Entrepreneurship Development, The Hong Kong Polytechnic University The MScITM programme has been a transformative and rewarding journey. It not only broadened my perspective on technology and management but also equipped me with strategic insights directly applicable to my work in innovation and entrepreneurship. I am truly grateful for the support from professors and peers, as well as the friendships and opportunities gained along the way.

Moses Mo Yung
MScITM 2025

Dean’s List Awardee Targeted Taught Postgraduate Programmes Fellowships 2023-24 Awardee Associate Fintech Director, Hong Kong Monetary Authority

In today’s digital era, where business and technology are increasingly intertwined, I have regconised the importance of developing logical thinking, a robust conceptual framework, and a solid understanding of information technology. The MScITM programme offers an exceptional platform to bridge the gap between the technical and business realms. Its curriculum is designed to balance technical knowledge with practical business applications, fostering insightful exchanges among professors and professionals from diverse backgrounds. Many professors have employed interactive teaching methods, creating an engaging and thought-provoking learning environment. This hands-on approach enriches our educational journey, motivating us to think critically and apply our knowledge in real-world contexts.

Abby Mok
MScITM 2025

Health Informatic Analyst, Hospital Authority Head Office

With a background in nursing and a current role as a health informatics analyst, I was keen to deepen my understanding of Information Technology. The MScITM programme at CUHK seemed like the perfect fit to bridge that gap. My experience here was extraordinary, marked by encounters with top-notch professors whose insights and guidance were invaluable. They were not just academic instructors but seasoned professionals who brought real-world IT challenges into the classroom. My classmates, a diverse group of sharp and talented individuals from various sectors, further enriched the learning experience. Working side by side with them on complex projects, I was constantly inspired by their perspectives and approaches, which pushed me to broaden my own analytical and problem-solving skills. A standout feature of the programme was the chance to go on an overseas field trip, where I observed world-class IT practices up close at industry giants like Google, Intel, and Palo Alto. This experience broadened my horizons in ways I had never dreamed possible.

Henry Ho
MScITM 2024

System Analyst, Matthews Asia

I am currently a System Analyst at an American asset management firm, mainly focused on building and managing data pipelines from various sources to a centralised data hub, and developing meaningful dashboards for portfolio managers to assist in investment decisions. My prior experience includes roles in corporate banking and insurance companies across APAC. During the years, I have developed the data models, pipelines and applications for regulatory and pension systems. Over the past eight years, I have dedicated my career to working with financial data in international company. Approximately two years ago, I decided to pursue a postgraduate programme to gain new insights from an academic perspective. I am particularly thankful for the opportunity to participate in a field trip to the San Francisco Bay Area, which broadened my technological and entrepreneurial perspectives. The practical and innovative coursework in fintech, business intelligence, database management, and information systems refreshed my technical skills and business sense to data model design in finance. MScITM programme enabled me to acquire this knowledge with less financial pressure, thereby contributing more effectively to Hong Kong’s financial industry and fostering collaboration within the Greater Bay Area and with international talents.

William Ng
MScITM 2024

Senior Associate, PricewaterhouseCoopers Consulting Hong Kong Ltd.

Throughout my academic journey in MScITM, I have focused on understanding various aspects of information technology and its application in real-world scenarios. This background has equipped me with a solid foundation in managing IT projects, enabling me to contribute effectively to government initiatives in this domain. I have successfully completed several government IT projects, where I have demonstrated my ability to analyze complex requirements, develop innovative solutions, and ensure the smooth implementation of IT systems. These achievements have showcased my proficiency in project management, problem-solving, and teamwork that learnt from the course. MScITM programme provided advanced courses and certifications in emerging technologies such as blockchain, cloud computing, and cybersecurity. By acquiring these crucial skills, I would be well-prepared to contribute to Hong Kong’s priority areas, particularly in enhancing the government’s IT infrastructure and cybersecurity measures. My expertise would enable me to make significant contributions towards the digital transformation and overall technological advancement.

Pak Ning Tse
MScITM 2024

Associate Director, Middle Office Development, Pulsar

The MScITM programme provided me with valuable knowledge and insight into web3 industries. Engaging with classmates and guest speakers who generously shared their experiences and provided advice have been instrumental in propelling my career to new heights. Acquiring the statistics foundation from the courses have enabled me to leverage AI models and machine learning techniques to develop new applications effectively. The intersection of business, statistics and technology has allowed me to contribute to cutting-edge advancements in the field. Throughout the lectures and projects, I have not only acquired theoretical expertise in management and business, but also cultivated practical skills that can be readily applied. Moreover, I have been fortunate to forge friendships with the alumni networks. The programme has exceeded my expectations by providing me with all that I desired.

Lysithea Su
MScITM 2023

IT Trainee, KfW Banking Group (German Development Bank)

Being from Germany and having studied in the USA and Germany before, I decided to continue my education in Hong Kong to broaden my view of the world and to specialise in information technology at The Chinese University of Hong Kong. The MSc ITM programme offered exactly what I was looking for: lectures and group projects on a vast variety of IT and digitalisation topics, conducted by highly experienced and passionate instructors. What I loved most about the programme was the diversity of students in the class. Working on group projects with classmates from different backgrounds was a great experience. From my time in this environment, I have grown a lot and gained a more global view of the world. I strongly feel that the programme has prepared me perfectly for a career in the IT industry and has given me insights into how to have a meaningful social impact.

Fabian Nguyen
MScITM 2020

Solutions Consultant, Google (Hong Kong) Limited

As a Finance graduate working at a tech company, I have always wanted to broaden my skillset and knowledge in Information Technology, which brought me to the MScITM programme. The programme offered so much more than I had imagined; not just a wide array of courses on various subjects and topics, but also tremendous support via online tools and on-campus technology to ensure the top-notch delivery and quality of education for students across online and offline platforms. Through the programme, I have gained coding and technical capabilities and have sharpened my business acumen. In addition, courses on trending topics such as FinTech and the Smart City have definitely helped me understand the current tech landscape, which has enabled deeper conversations with my clients and partners.

Nicholas Wong
MScITM 2020

Product Manager, China Merchants Bank Hong Kong Branch

Information technology has underpinned the evolution of the Internet from a tool to a new real economy, and the ITM programme is well-designed for those interested in technology-based industries. One of ITM’s great strengths is the practicality of its courses. Project Management, IT Security, Database Management and Data Analysis provide a skillset essential to our daily work. Getting to know so many interesting and professional people is another rewarding part of ITM. Through the programme, I had the opportunity to get to know professors, industry experts, start-up founders and talented classmates who helped me grow tremendously. If you want to become a Management Consultant, Business Analyst, Project Manager or Product Manager, I think ITM will fit you well.

Ming Yung
MScITM 2020

Manager (Financial Infrastructure), Hong Kong Monetary Authority

Studying in the MSc ITM was a positive life-changing experience for me. Having completed the programme, I have greater confidence in my career path in this revolutionary digital era. I also met talented people with common interests, and enjoyed and valued sharing knowledge with others.

Yammi Chan
MScITM 2019

Director (Information Technology), UBP SA

Working full time while following a part-time study programme is never an easy journey, but I am grateful to have received so much help from the professors and teaching assistants. The course teachers shared their technical knowledge and also their experience in the industry, which made the lectures fun and fruitful. The MScITM programme also serves as a platform to gather classmates from different backgrounds and expertise. Not only do we have a chance to share our past experience and knowledge, but also to deepen friendships in the classroom and library. The programme might be over in two years, but the relationships and connections will last forever.

Alex Law
MScITM 2019

Research Assistant, China Finance 40 Forum-Shanghai Finance Institute

For me, coming from a finance background, knowledge of information technology has helped me to expand my cognitive boundaries and enrich my practical abilities. The curriculum of the ITM programme is varied. ‘Information Systems Analysis and Auditing’ was particularly helpful for understanding information systems. Courses on databases and business intelligence enabled us to execute our ideas with different tools, such as Python. ‘Strategic Information Systems’ even helped me to develop some ideas on smart cities and e-payment for participation in the Tencent Financial Innovation competition.

Xiuye Zhu
MScITM 2019

Manager, Technical and Operation Support, DP World Asia Holdings Limited

The MScITM programme is the best choice for part-time students like me who are looking for a flexible learning curriculum with a balance of work and study. Students come from different industries and have varied expertise. The course project pulls us together to share knowledge and exchange ideas to tackle the challenges. I met many new friends and broadened my horizons in this programme, which is a great learning experience and highly recommended for both tech and non-tech people.

Alvin Ko
MScITM 2018
Entry Requirements

You should have:

  • graduated from a recognised university and obtained a bachelor’s degree, normally with honours not lower than Second Class or achieving an average grade of not lower than “B”; or
  • completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to a bachelor’s degree.

Although GMAT / GRE scores are not required, they are highly encouraged.

Please also see the English Language Requirements for Admission.

Please note:

  • We start assessing your application when we receive the hard copies of your supporting documents.
  • Interviews may be arranged for shortlisted applicants.
  • Admissions are on a rolling basis.
  • Your results will be posted on your online application account, so remember to check it regularly.

2027-28 Admission

Admission Deadline

Part-time
30 Apr 2027


Application will be processed on a rolling basis until all places fill up. Therefore, early applications are strongly encouraged. The application deadline may be closed early if places are no longer available. The subsequent applications received may not be considered.

*Full-time mode has been offered under a new programme – MSc in Information Science and Technology Management from 2023 intake.


Contact Us

Room 939, 9/F, Cheng Yu Tung Building,
12 Chak Cheung Street,
Shatin, N.T., Hong Kong
mscitm@cuhk.edu.hk
+852 3943 3193 / 3943 8567

 

Fees

The tuition fees for the academic year 2027/2028 are:

You can pay in instalments as follows:

  1. HK$46,000 (admission deposit) within 2 weeks of confirming your offer
  2. HK$46,000 at the beginning of the 2nd trimester
  3. HK$46,000 at the beginning of the 3rd trimester
  4. HK$46,000 at the beginning of the 1st trimester of the 2nd year
  5. HK$46,000 at the beginning of the 2nd trimester of the 2nd year
Financial Aid

Scholarships

The “Hong Kong Future Talents Scholarship Scheme for Advanced Studies” (the Scheme), launched by the University Grants Committee (UGC), provides scholarships to local students pursuing designated taught postgraduate (TPg) programmes offered by the eight UGC-funded universities. Our MSc in Information and Technology Management has been selected as one of the programmes supported under this Scholarship Scheme. For more details, please visit the UGC website.

The outstanding students who perform exceptionally well in their first year are awarded a scholarship of up to HK$50,000.

Continuing Education Fund (CEF)

Machine Learning for Business I and Database and Big Data Management courses are considered reimbursable for CEF purposes. Eligible students may be reimbursed up to HK$25,000 upon successful completion of the course.

Loans for Local Students

Local students may be eligible for a loan from the Extended Non-means tested Loan Scheme (ENLS), offered by Student Financial Office of the HKSAR Government. This programme is included in the “Register of Eligible Courses” under Category 1B. For more information, please see the ENLS website.

How to Apply

For further details about entry requirements, visas and the online application process, please go to the apply page.

Message from the Programme Director

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Professor CHEN Zhi
Programme Director, MSc in Information and Technology Management