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Data Analytics




Level 5


1 Year

Mode of Delivery



About the Course

This conversion program prepares for roles in analytics statistics, database modelling techniques, enabling to gain insights into datasets and apply problem-solving abilities. Designed to equip the trainees with the technical expertise needed for a career in industry, for roles in analytics by developing their technical expertise and professional skills in business intelligence. This program focusses on core areas such as database design, data acquisition, data visualization and processing data for information extraction. It includes subjects in data science and data mining processes developing the technical and analytical skills of the trainees to real-world problems. The delivery language of the program is English.

Target Group

This program is intended for graduates that they wish to change career or develop their skills further.

Benefits of Attending

Upon completion of this program, the participants will be able to work as a data analyst in operations across different business domains such as finance, engineering, humanities, marketing and so on.

Program Contents

The program consists of:

  • Database Systems
  • Data Acquisition
  • Data Visualization
  • Machine Learning

Learning and Teaching Strategies

The programme is delivered using a PBL philosophy through a mixture of classroom teaching, tutorials, online (web-based), laboratory work, workshops, and supervised projects. Assessment of courses is both formative and summative, with a focus on project work. The teaching and learning methods appropriate to this programme include a wide range of different strategies to meet the needs of students and depend on the class numbers and tasks involved.  These may include, but are not limited to:

  • Instructive lectures
  • Facilitated Discussions
  • Group discussions
  • Demonstrations in the classroom, laboratory, or workshop
  • Tutor-directed assignments
  • Tasks performed in the classroom, laboratory, or workshop
  • Online exercises, tutorials, and discussion
  • Projects



  • Case Studies
  • Videos
  • Tutorials
  • Visiting speakers


The teaching methods include the provision of learning experiences and opportunities that enhance the transfer of information to aid understanding, and then enable practice to take place through related tasks and the provision of opportunities to apply skills and knowledge.


  • Grading system: Achievement based
  • Completion requirements: more than 60% in every course of the program.
  • Attendance: 20% of the total contact hours absence is allowed.

Training Duration

The program is of 240 notional hours that 4 months/ 15 weeks (full time) and 8 months/30 weeks (part time).

Entry Requirements:

Graduates with diverse backgrounds such as engineering, ICT, design, education, accounting, humanities with an interest in data and tech-savvy personality. Very good command in English language is required.

 Further Information