Master of Science in Big Data and Internet of Things (Applicable to 2022/2023 intake and before)
Awarding Institution | Macao Polytechnic University |
---|---|
Host Academic Unit | Faculty of Applied Sciences |
Partner Teaching Academic Unit(s) (if any) | - |
Programme Registration Code | IP-N01-M62-1919Z-15 |
University Programme Code | MDATAM |
Final Award (FHEQ Level of Study) | Level 7 |
Number of Credits Required for Graduation | 36 |
Normal Period of Study | 2 |
Medium of Instruction | English |
Specialisation(s) | - |
Professional Accreditation | IET |
Partner Teaching Institution(s) (if any) | - |
PROGRAMME OBJECTIVES
The MSc in Big Data and IoT degree aims to cultivate IT specialists in Big Data and Internet of Things (IoT) so as to accommodate the development of a smart city. The programme focuses on enlightening the students to develop key system architectures, communication mechanisms for IoT and innovative IoT applications. Graduates shall be able to apply leading-edge techniques in Big Data processing, utilise information relevant for smart city applications, and initiate and carry out research in multiple scientific domains that rely on performing advanced IoT and Big Data technologies.
PROGRAMME INTENDED LEARNING OUTCOMES (PILOS)
Knowledge and Understanding
On completion of this programme, students will be able to demonstrate understanding of:
PILO-1. | Knowledge and understanding of the principles of system engineering and relevant enabling technologies for building of IoT solutions |
PILO-2. | Knowledge and critical evaluations of scientific methodologies and mathematical models for Big Data and its applications |
PILO-3. | Knowledge and application of the advanced software and programming tools and techniques for IoT solutions and Big Data |
PILO-4. | Knowledge and understanding of the processes involved in IoT solutions and Big Data analytics in a typical business setting |
PILO-5. | Explain different application domains and analyze their requirements for IoT and Big Data |
PILO-6. | Apply knowledge in advanced communication and multimedia technologies for the design and implementation of IoT solutions |
PILO-7. | Apply knowledge in applied statistics, leading-edge technologies and programming techniques for Big Data |
PILO-8. | Design and carry out an advanced research project following an ethical and professional methodology |
Skills and Attributes
On completion of this programme, students will be able to:
PILO-9. | To demonstrate advanced knowledge and R&D techniques in Big Data and IoT |
PILO-10. | To investigate and develop new and emerging ICT technology for Big Data and IoT |
PILO-11. | To develop a global vision on the critical development and new application of Big Data and IoT |
PILO-12. | To communicate technically and effectively in both speaking and writing |
PILO-13. | To have a positive attitude towards society and the environment. |
PILO-14. | To adhere to high moral standards and commit to excellence in life-long learning. |
By attaining these PILOs, students will have attained the graduate attributes of the University as demonstrated below:
Graduate Attributes | PILOs | |||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | |
To demonstrate strong academic competence in relevant disciplines | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||
To think critically and to contribute constructively in teamwork and leadership | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||
To communicate effectively both verbally and in writing | ✓ | ✓ | ✓ | |||||||||||
To possess a global vision which enables them to understand issues and problems from different perspectives | ✓ | ✓ | ✓ | |||||||||||
To articulate effectively in a variety of contexts using knowledge, skills and expertise acquired to serve both the local and international community | ✓ | ✓ | ✓ | |||||||||||
To have a positive attitude towards society and environment in the development of a fair and caring society | ✓ | ✓ | ✓ | ✓ | ||||||||||
To demonstrate a keen interest in and strong capacity for life-long learning | ✓ | ✓ | ✓ | |||||||||||
To practise high standards of ethical behaviour | ✓ | ✓ | ✓ |
TEACHING AND LEARNING
In this programme, students will work towards attaining the PILOs through the following teaching and learning activities:
PILOs | Teaching and Learning Activities |
Knowledge and understanding | 1. Lectures |
2. Tutorials | |
3. Laboratory sessions | |
Skills and Attributes | 1. Lectures |
2. Laboratory sessions | |
3. Projects |
ASSESSMENT
In this programme, students will receive assessment activities of the following types in order to assess whether they are able to attain the stated PILOs.
PILOs | Types of Assessment Activities |
Knowledge and understanding | 1. Assignments |
2. Written tests/examinations | |
3. Individual projects | |
Skills and Attributes | 1. Assignments |
2. Individual projects | |
3. Group projects |
The assessment will be conducted following the University’s Assessment Strategy.
PROGRAMME STRUCTURE
Year | Study Focus | Learning Modules | ||
---|---|---|---|---|
Code | Title | Type | ||
1 | Taught modules | COMP6121 | Introduction to Internet of Things | Compulsory |
COMP6122 | Introduction to Big Data | Compulsory | ||
COMP6123 | Research Methodology | Compulsory | ||
COMP6124 | Communication Technology for IoT | Compulsory | ||
COMP6125 | Multimedia Technology for IoT | Compulsory | ||
COMP6126 | E-commerce with Big Data | Compulsory | ||
COMP6101 | Machine Learning | Elective | ||
COMP6102 | Security and Authentication | Elective | ||
COMP6103 | Cloud Computing | Elective | ||
COMP6104 | Digital Media and Social Networking | Elective | ||
COMP6105 | Selected Topics I | Elective | ||
COMP6106 | Selected Topics II | Elective | ||
2 | Project | COMP6299 | Dissertation | Compulsory |
ENTRY REQUIREMENTS
The entry requirements are defined in the University’s Academic Regulations Governing Master’s Degree Programmes. An applicant shall be considered for admission to a master’s degree programme of MPU if s/he:
- holds a Bachelor’s degree or the equivalent from an accredited higher education institution;
- fulfils other admission criteria prescribed by the programme of study concerned; and
- satisfies the examiner(s) in an interview (if required).
More details about admission are available here.
STUDENT FEEDBACK
Each student is allocated a year tutor who provides general academic and pastoral support throughout the whole period of study. Year tutors are the first point of contact in matters stated above. Various communication channels are available for students to express their opinions and suggestions, such as via their respective year tutors, student representatives, programme coordinators and assistant programme coordinators, and dialogue meetings at different levels. The dialogue meetings serve as platforms for consultation and discussion between students and respective personnel ranging from the programme, the faculty, the academic support and administrative units, to the university management. Feedback is made by respective personnel to every issue raised by the students during the meeting with follow-up actions tracked. Student surveys are conducted in every learning module on a semesterly basis to collect students’ opinions regarding the delivery of the modules. User satisfaction surveys are conducted annually on central student services. Feedback collected via these surveys will be followed up by the academic units or respective departments.
STUDENT SUPPORT
Students will receive an orientation about their four years of study at the beginning of the first year. Year tutors are appointed to individual students upon admission to provide academic and pastoral support throughout the period of study in the programme. Students may seek academic advices from their year tutors or programme coordinators regarding their learning path/plan and registration of learning modules.
In individual learning modules, the instructors’ office hours and contact information are made accessible to students for any questions regarding their study. Students’ learning engagement and performance will be reviewed on a regular basis by year tutors and programme coordinators to identify learning needs and provide relevant support. Students’ learning performance and progression will also be reviewed by the programme examination board to ensure their learning is adequately supported and their progress is on track.
Counselling services, careers services and student support services are accessible to all students through the Student Affairs Office. A wide variety of extracurricular activities (e.g. seminars, workshops, exchange opportunities, fieldtrips etc.) are available via the Student Affairs Office. Students may make full use of the variety of learning oppportunities, both curricular and extracurricular, to develop their academic and holistic capabilities for their future careers or further studies.
SUPPORT FOR STUDENTS WITH DISABILITIES
A university-wide policy is in place 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 University, 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.
ADDITIONAL RELEVANT INFORMATION
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.