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Course Duration

1 year 6 months

Type of course


Campus where course is offered

ITE College West

Course Certification

Higher Nitec
This course equips students with the skills and knowledge to extract data, perform data cleansing, data processing, data visualization and manage database.

The course duration is 1.5 years to 3 years.

What you'll learn

  • Extract data 
  • Perform data cleansing
  • Perform data processing
  • Perform data visualization
  • Manage databases

Entry Requirements

3 GCE ‘O’ Level Grades:

(i) Grade 1-8 in English Language;

(ii) Grade 1-7 in Mathematics (Elementary/Additional);

(iii) Grade 1-8 in one of the approved subjects: Biology / Biotechnology / Chemistry / Combined Science / Computer Studies / Design & Technology / Engineering Science / Fundamentals of Electronics / Human & Social Biology / Integrated Science / Physical Science / Physics / Science (Chemistry/Biology) / Science (Physics/Biology) / Science (Physics/Chemistry) / Science (Physics/Biology/Chemistry).




Nitec in Technology qualifications; or

Nitec qualifications (Technical Skills); or

Workplace Literacy & Numeracy (WPLN) Level 5 in Speaking, Listening, Reading, Writing and Numeracy, and one-year relevant work experience; or

Completed four Foundation modules.



Applicants who do not meet the above entry requirements will need to complete Foundation modules before taking Core/Specialisation modules.


Entry requirements for Foundation modules:

2 GCE 'O' Level Grades (Grade 1-8) in any two subjects; or

3 GCE 'N' Level Passes (Grade A-D or Grade 1-5) in Mathematics or Science and two other subjects; or

Workplace Literacy & Numeracy (WPLN) Level 5 in Speaking and Listening, and Level 4 in Reading and Numeracy.

Progression Opportunities


Career Opportunities

Graduates from Higher Nitec in Data Engineering can expect to embark on a career with government and private sectors that leverage data for businesses and operations. Some of the job titles may include Associate Data Engineer, Associate Data Analyst, Data Technician, and Data Wranglers.