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Course Duration

2 years

Type of course


Campus where course is offered

ITE College West

Course Certification

Higher Nitec

Data is the New Language!

Indeed, data is the new language that is critical for every business in this digital age. In this age of big data and AI, almost all businesses are being impacted by this new digitalisation wave. Through harvesting and harnessing data, companies can make informed decisions based on data analytics.

This course will provide students with digital skills and knowledge in data extraction, transformation, and loading functions to derive actionable and meaningful insights for improving business operations, thereby supporting the data-driven industries.

What you'll learn

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

Entry Requirements

GCE 'O' level grades in English Language, Mathematics and 1 approved subject:

  • Grade 1-8 in English Language
  • Grade 1-7 in Mathematics (Elementary/Additional)
  • Grade 1-8 in an approved subject: [Biology / Biotechnology / Chemistry / Combined Science / Computing / Computer Studies / Design & Technology / Electronics / Fundamentals of Electronics / Human & Social Biology / Integrated Science / Physics / Engineering Science / Science (Chemistry, Biology) / Science (Physics, Biology) / Science (Physics, Chemistry) / Physical Science / Science (Physics, Biology, Chemistry)]


Nitec GPA:
For more details on minimum entry requirements for Nitec graduates, please click here.

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.

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.