|Awarding institution 頒授機構||Macao Polytechnic Institute|
|Responsible school 負責學校||School of Applied Sciences|
|Endorsement in the Official Gazette 政府公報批示||25/2019|
|Name of final award / programme Title 學位及課程名稱||Master of Science in Big Data and Internet of Things|
|Duration of study 學習年期||18 to 24 Months, Full Time|
|MPI programme code 理工課程編號||MDATA|
|FHEQ level of award FHEQ學歷水準||Level 7|
|QAA benchmark group QAA學科基準組別||Computing|
|Programme accredited by 專業認可機構||IET|
|Language of instruction 授課語言||English|
Academic units which will also be involved in teaching part of the programme
Institution(s) other than MPI that will provide some teaching to the programme
Programme outline 課程簡介
The Internet of Things (IoT) refers to novel cutting edge technology that connect a plethora of digital devices equipped with several sensing and computing capabilities with the Internet. Through IoT, many physical items may be seamlessly integrated to the Internet for the purposes of data gathering, command and communication. It provides many opportunities for users, manufacturers, and service providers to offer various enhanced services to all users. A key issue today is, collected data from daily operations of enterprises and governments continues to grow. This raises the importance of Big Data, which involves the knowledge to use technology to capture, store, protect, search, analyze and visualize voluminous and complex data. Big data is the resource and even the core of a large amount of current and future Information and Communication Technology (ICT) applications, such as in the smart city technologies and artificial intelligence. It becomes a crucial factor to the development and success of our society.
There are several indications that demonstrate a need for skilled graduates with IoT and Big Data knowledge: 1) increasing number of connected devices, 2) increasing variety of IoT products, 3) evolving development of IoT standards, 4) integration of data from enterprise information systems and IoT devices, 5) demand for Big Data processing and analytics across all industries, 6) the need for implementation and development of an IoT-based smart city. This has created many specific IoT and Big Data job opportunities. Moreover, Big Data and IoT are the key elements in building a sustainable smart city. A Master of Science degree in Big Data and IoT allows students to take great advantage of the need for IoT and Big Data technologies, and become successful in the competitive Information Technology (IT) market.
This programme includes modules with required theories, approaches, applications and hands-on experience pertaining to IoT and Big Data processing, supported by our joint international R&D research centers in Ubiquitous Computing, Wireless Communication Technology, Multimedia Technology and Machine Learning.
Programme objectives 課程目標
The MSc in Big Data and IoT degree is designed to meet the demands for a new kind of IT specialist - those who have the ability to:
- Compare key system architectures and communication mechanisms for IoT;
- Design and develop innovative IoT applications to connect intelligent objects;
- Apply leading-edge techniques for Big Data processing;
- Extract information relevant for smart city applications;
- Undertake IoT and Big Data research.
Programme graduates will be able to pursue careers in IoT and Big Data positions in Industry and Government, as well as initiate and carry out research in multiple scientific domains that rely on performing advanced IoT and Big Data technologies.
What will you be expected to achieve? 期望達到的成效
The individual modules will provide the necessary knowledge and skills for graduates to meet all the learning outcomes of the UK Standard for Professional Engineering Competence. You will expect to achieve the knowledge and understanding of the following items:
Academic contents 學術內容
|A1||Master the principles of system engineering and relevant enabling technologies for building of IoT solutions|
|A2||Critically evaluate scientific methodologies and mathematical models for Big Data and its applications|
|A3||Master the advanced software and programming tools and techniques for IoT solutions and Big Data|
|A4||Understand the processes involved in IoT solutions and Big Data analytics in a typical business setting|
Disciplinary skills‐ able to 學科技能
|B1||Explain different application domains and analyze their requirements for IoT and Big Data|
|B2||Apply knowledge in advanced communication and multimedia technologies for the design and implementation of IoT solutions|
|B3||Apply knowledge in applied statistics, leading-edge technologies and programming techniques for Big Data|
|B4||Design and carry out an advanced research project following an ethical and professional methodology|
|C1||To demonstrate advanced knowledge and R&D techniques in Big Data and IoT|
|C2||To investigate and develop new and emerging ICT technology for Big Data and IoT|
|C3||To develop a global vision on the critical development and new application of Big Data and IoT|
|C4||To communicate technically and effectively in both speaking and writing|
How will you learn? 如何學習
The taught modules include lectures, tutorials and lab sessions in which students may acquire the theoretical knowledge and practical problem-solving skills. Group projects and independent studies, such as literature review, are also included in coursework to help develop teamwork and self-learning skills. In the dissertation, students learn to apply their knowledge in advanced research projects.
How will you be assessed? 如何評核
In taught modules, the main assessment methods are written examinations and coursework including assignments and projects. The dissertation includes a proposal, a written report and an oral defense, in which the student's performance is assessed based on the standard criteria for scholarly work.
How is the programme structured? 課程架構
The programme is delivered over four semesters spanning two years, the first two being the taught modules and the 3rd and the 4th being the academic and research activities as well as the dissertation. Although there is no specific pathway for the Programme, the students are expected to select their specialist elective modules (one for each semester during the 1st and 2nd semester) suitable for their research interest and for the preparation of their dissertation.
Learning Module Title
Learning Module Code
Learning Module Selection Status
Year of Study
|Introduction to Internet of Things (IoT)||COMP6121||3||Compulsory||1||1|
|Introduction to Big Data||COMP6122||3||Compulsory||1||1|
|Communication Technology for IoT||COMP6124||3||Compulsory||1||2|
|Multimedia Technology for IoT||COMP6125||3||Compulsory||1||2|
|E-commerce with Big Data||COMP6126||3||Compulsory||1||2|
|Machine Learning||COMP6101||3||Specialist Elective||1||1&2|
|Security and Authentication||COMP6102||3||Specialist Elective||1||1&2|
|Cloud Computing||COMP6103||3||Specialist Elective||1||1&2|
|Digital Media and Social Networking||COMP6104||3||Specialist Elective||1||1&2|
|Selected Topics I||COMP6105||3||Specialist Elective||1||1&2|
|Selected Topics II||COMP6106||3||Specialist Elective||1||1&2|
What are the Entry Requirements? 入學條件
According to Article 3 of Academic Regulations Governing Master's Degree Programmes of MPI, an applicant shall be considered for admission to a master’s degree programme of MPI if s/he:
a) holds a Bachelor’s degree or the equivalent from an accredited higher education institution in the relevant discipline
b) has passed the medical examination.
How do we listen and act on your feedback? 如何聽取及回應學生的回饋
All students have access to the MPI Counseling Services, Students' Union, Careers Service and Student Support Services through the Student Affairs Office. All students are allocated year tutors. The role of the year tutor is to provide general academic and personal support and encouragement, and advice on pastoral issues. Year tutors are full-time members of staff and are the initial point of contact on the above matters. Students may make their complaints through different channels; for instance the Year Tutors, the Programme Dialogue Meeting and annual programme evaluation, School Dialogue Meeting, and the Institute Dialogue Meeting. The Programme Dialogue Meeting with students (which is composed of elected student representatives from each year of the degree, Programme Coordinator / Assistant Coordinators.) is designed to respond to the needs of students and discuss programme related issues. Regular meeting is scheduled for this purpose. At least once a year, student representatives from the class will be invited to participate in the Annual Programme Evaluation where a forum is formed to invite student representatives to discuss programme and module development. School Dialogue Meeting, that is convened once each year with students, provides a forum for consultation and discussion between School and students. Other channels of feedback include Graduate and Employer Surveys and Student Surveys conducted annually. Normally, the School Director will act on the students' feedback accordingly, based on the recommendations of the Programme.
Academic support and guidance 教學支援及指導
An orientation programme for first year students is held at the beginning of semester 1 of each academic year. All students receive a copy of the handbook for the relevant stage and have access to the MPI's Intranet system which offers: (1) Student’s e-services; (2) E-mail communication with staff and other students; (3) Access to learning and teaching materials and through electronic learning management system; (4) Access to all MPI libraries and to the Institute’s computer labs or other computer facilities including all the research or project Labs dedicated for students of MSc Programme. All students are allocated year tutors. The Student Advisor, who is also the Student Affairs Leader, is responsible for monitoring student performance. Year tutors will be advised to speak to these students personally to determine the cause underlying poor performance or absence and to facilitate the student's successful passage through the MSc programme.
Programme-specific rules and facts 課程特定的規則及事項
Students with an overall score of less than 35 in the coursework will fail the module even if the overall score for the module is 50 or above. Students with a score of less than 35 in the final examination will fail the module even if the overall score for the module is 50 or above.
Support for students with disabilities 身心障礙學生支援
Macao Polytechnic Institute has in place an institution-wide policy to ensure that all student needs are taken care of and a supportive and accessible learning environment is maintained. When cases of special needs are notified or identified, special arrangements are made on a case-by-case basis with the joint effort of the programme and various student support services of the Institute, such as the Registry, the Student Affairs Office, the Information Technology Department and the Campus Management and Development Department, etc. to provide the necessary support.
Links with employers, internship opportunities and transferable skills 與僱主的關係、實習機會及可轉移技能
Graduates from the MSc Programme will have developed a range of cognitive and practical skills together which will be applicable to different context beyond academia. To broaden the participation of students in their communication with the global Computing community, the MSc Programme promotes joint research projects with organisations, student activities, and overseas exchanges. Throughout the academic year, the MSc Programme also invites external speakers to share their experience with our students, by giving seminars or teaching leading-edge practical courses. Moreover, the MSc Programme also organises short training courses, provided by leading local companies, for our students. Industrial Advisory Meeting organised by the MSc Programme is held at least annually to provide the MSc Programme with valuable industrial advices and feedbacks on the performance of our graduates.