We deliver blended learning through a combination of self-paced e-learning, instructor-led flipped classes and personalized mentoring with industry practitioners to greatly increase your efficiency and effectiveness in acquiring knowledge and skills.
We deliver learning through work. From the second year onwards, you’ll work on real projects. You’ll progress from acquiring knowledge to applying your skills through project-based learning with mentoring support from industry practitioners.
We find our students paid internships that would allow them to apply class- room knowledge in resolving real world, real issue. The best part is, they get paid for that too (earnings up to US$ 16,200) – enabling them to achieve a valuable degree, debt-free!
This is a work-study degree programme designed to grow multidisciplinary software development talents with a mix of 21st-century cutting edge technological expertise such as Data Science, Machine Learning, Artificial Intelligence and Natural Language Processing with small to medium scale enterprise applications development. The “Earn while you Learn” journey of our students begins with an intensive 12-month coding Boot camp where they will clock up on industry practitioners in over 2,000 hours of guided training and personalized mentoring.
In addition to that, they acquire the skills to develop small to medium-sized enterprise applications using the Spring framework, Angular, React, and Liferay portals. Besides, they obtain skills to create competitive digital marketing ideas based on actionable customer insights by integrating applications with digital platforms such as Facebook, Google, and PayPal using Webhooks.
After the Boot camp, our students will gain Data Science, Machine Learning, and Artificial Intelligence, Natural Language Processing, Deep Learning, Reinforcement Learning using Python and R programming with the understanding the concepts like Statistics and data Visualization Techniques.
Finally, the course enables them to be an all-rounder with professional communication strategies, interpersonal skills, collaboration skills with digital marketing, and entrepreneurship skills that play a vital role in the modern workplace.
Front-End Web Development
Database Design and Implementation
Web Development Foundations
Capstone Project - Web Development
Web Development Using Platforms
Develop Enterprise Applications
Application Development & Processes
Capstone Project - Application Development
Teamwork & Collaboration
Agile Leadership & Management
IT Systems & Networks
Data Queries and Visualization Basics
Data Science Essentials
Statistical Thinking for Data Science
Full-time, on Campus+off Campus, Boot Camp (12 months, Study 40 hrs a Week)
Full-time Internship (5-days a week), Part-time Study (6-12 hours a Week, on Weekends)
GCE A/Levels – Min 3 Passes, any stream
GCE O/Levels – Credit Pass for Maths and English compulsory
Fluent in English or IELTS 5.5 or Similar
Higher National Diploma In Computing in Applications Development
in Software Engineering Applied Degree
Minimum attendance of 75%
Minimum Pass Grade in the summative assessment of each Module
*Application Subject to approval from Lithan, Singapore. If selected, Admin Fees & Management Fees apply.
This is a work study degree program designed to grow multidisciplinary software development talents with a mix of 21st century cutting edge technological expertise such as Data Science, Machine Learning, Artificial Intelligence, and Natural Language Processing with small to medium scale Enterprise Applications Development. Ideal for those who want to master cyber security, gaming and app development etc.
This programme aims to produce graduates who are competent in the design, development, deployment and administration of digital first, cloud first, mobile first, and zero trust Modern Workplace computing platform in the digital economy. This programme also provides 21st century digital skills including application development, robotic process automation, data analytics skills, agile management and innovation collaboration skills.