Diploma in Information Technology and Data Science (Mandarin) (E-Learning)

Aims & Learning Outcomes

The Diploma in Information Technology and Data Science (Mandarin) (E-Learning) programme is an online course where students are taught in a virtual learning environment using Mandarin as the medium of instruction.

Learning Objectives 

At the end of this programme, students will be able to: 

  1. Mathematical and Analytical Competence
    To develop students’ foundational knowledge and skills in mathematics, statistics, and core big data principles, enabling them to identify, formulate, analyse, and solve complex problems using data-driven approaches and logical reasoning.
  2. Innovative and Responsible Problem Solving
    To foster creative and critical thinking in designing solutions for big data application challenges, while considering social, health, safety, legal, cultural, and environmental factors, and aligning system designs with user needs.
  3. Technological Proficiency
    To equip students with the ability to select, develop, and apply appropriate technologies, resources, and digital tools for data analysis, system design, simulation, and implementation in practical contexts.
  4. Teamwork and Leadership
    To develop students’ ability to work effectively in diverse roles—as individuals, team members, and leaders—within collaborative environments, valuing active listening, shared responsibility, and the strengths of teamwork.
  5. Communication and Global Perspective
    To enhance students’ ability to communicate complex data-related issues clearly and effectively with both peers and the broader public, and to cultivate an awareness of global developments and multicultural perspectives in the field.
  6. Independent and Lifelong Learning
    To instil a mindset of continuous learning and self-improvement, encouraging students to stay current with emerging trends and advancements in data science and to adapt to ongoing changes in technology and industry practice.

Course Structure

The students are required to study nine (9) modules in the specialism of their interest. Each module is equivalent to 15 credits, totalling 135 credits. Each credit is equal to 10 learning hours.

Core Modules

  1. Fundamentals of Computer and Big Data
  2. Mathematics 1
  3. Mathematics 2
  4. Language Programming
  5. Java Programming
  6. Data Structure and Algorithm Design
  7. Database and Data Warehouse
  8. Python Language Programming
  9. Operating Systems
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    Admission and Graduation Requirement

    Normal Entry

    1. Min age: 17 years PLUS

    2. Academic Level:

    • A-Level with 2 passes OR
    • Completed equivalent to at least 12 years of formal education

    3. Min language requirement:

    • Obtained at least GCE O-Level B4 in Chinese language or equivalent

     Alternative Entry

    Mature candidate of minimum age of thirty (30) with at least eight (8) years of working experience. 

    Learning and Teaching

    The programme will be delivered through a blended e-learning approach that combines synchronous and asynchronous modes.

    A total of 32 hours will be conducted through synchronous e-learning, allowing students to engage in real-time interaction with lecturers and peers via live online sessions. These sessions will focus on discussions, collaborative activities, and instructor-led guidance to support active learning.

    A further 304 hours will be allocated to asynchronous e-learning, where students will access digital learning materials, recorded lectures, readings, and self-paced learning activities through the institution’s learning management system. This mode enables flexibility and independent study, allowing learners to manage their learning according to their schedules.

    Assessment for the programme will amount to 32 hours, which are not included in the teaching hours. Assessments may include assignments, projects, quizzes, or examinations designed to evaluate students’ achievement of the intended learning outcomes.

    The teaching, learning and assessment strategy of each module has been designed to ensure that teaching methods are appropriate for achieving the learning objectives of the module.

    Assessments will be conducted via a robust online examination platform, ensuring that online examinations are systematically scheduled, performed, and evaluated with integrity. Candidate’s identity will be authenticated, and manual and/or AI proctoring will be utilised.

    Duration

    1. The program may be pursued on either a full-time or part-time basis. The full-time modality spans a period of eight (8) months, with instructional sessions allocated three hours per day, five days per week, culminating in a total of 336 instructional hours. Conversely, the part-time modality extends over nine (9) months, with sessions scheduled two hours per day, five days per week, also amounting to a total of 336 instructional hours. The minimum required enrolment is 30 students.

       

    Intake Dates

    1. Full Time: Monthly

    2. Part Time: October

    Target Students

    1. The programme is designed primarily for the convenience of students who wish to pursue a Diploma In Information Technology and Data Science, and progress on to USC’s Advanced Diploma in Information Technology and Data Science. Thereafter, students may wish to continue their study at UK, Australian and American universities for another year or two to obtain their related degree

    Fee Structure

    1. Course Fee: SGD 6,000.00 

      Click here for the miscellaneous and other relevant fees.