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Overview

Course Duration

3 years

Type of course

Full-time

Campus where course is offered

ITE College West

Course Certification

Higher Nitec

Uncover hidden knowledge by tapping into the power of data!

To cater to industry demand, the new 3-year curriculum structure comprises the specialised and deepened skill sets built upon broad-based foundation skill sets for the Infocomm Technology (ICT) sector. In this course, you will develop highly sought-after skills and capabilities to extract data, perform data cleansing, data processing, data visualization and manage database.

What you'll learn

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

Entry Requirements

Admission to Year 1 of the 3-year curriculum structure:

GCE ‘O’ level grades in any 2 subjects:

  • Grade 1-8

or

GCE ‘N’ level passes in Mathematics or Science* and 2 other subjects:

  • Grade A-D or Grade 1-5

* Mobile Robotics, Smart Electrical Technology, Mechanical Design & Automation, IoT Applications, and Mobile Web Applications subjects can be used in lieu of Science for admission to this Higher Nitec course.


Students will be required to purchase a Laptop for the course. This is in addition to the course fees. Financial assistance is available to eligible students under ITE Opportunity Fund subject to terms and conditions. For more details on the minimum laptop specifications, please click here.

Progression Opportunities

Higher Nitec in Data Engineering graduates may apply for progression to the following Work-Study Diploma courses at ITE:


Higher Nitec in Data Engineering graduates with a Grade Point Average (GPA) of 2.0 and above may apply for progression to the first year of a related diploma course at the Polytechnics.

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.