OVERVIEW
About this Programme
The Higher Diploma in Advanced Technology and AI focuses on developing practical expertise in advanced technology, cloud AI and big data management. With a strong emphasis on real world applications, this programme prepares students for diverse roles in fields such as data science, IT, marketing, logistics, finance and beyond, positioning them for success in today’s rapidly evolving job market.
Industry-Relevant Curriculum
14 months | Full-time/ Part-time
fast track degree
Practical and theoretic modules
Guided career sessions
MODULES
A programme designed to explore beyond subject knowledge
Information Systems Modelling & Design
This module develops the skills and techniques required for creating an overall plan for the design of software, design of functional specifications based on user and business requirements incorporating various controls, functionality, and interoperability of different elements into a designing an information system, modelling which describes the overall architecture in software, databases, hardware, and third-party frameworks that the software will use or interact with. It also covers some of the key legal, social, ethical, and professional issues relating to the information systems development.
Maths for Computing
This course introduces the basic concept of quantitative approaches to computing mathematics. This module will help students to attain essential knowledge in mathematical concepts and skills that are required for the study and application of computer science.
Software Development
The aim of this module is to provide students with technical skills, communication skills, to develop applications by coding, testing, debugging, documenting, and reviewing in accordance with object- oriented programming standards for development and security. The module focuses on programming fundamentals such as introduction to computers and object-oriented programming, basic computation, variables, control structures, arrays, and the procedural programming methodology. It then progresses to introduce the object-oriented programming concepts of objects, classes, and inheritance.
Computer Systems & Networks
This module aims to focus on fundamental computer architecture, network fundamentals, protocols, and models. This module introduces the categories of the network functions, evaluate, and justify networks, and device performance using the OSI model and the most widely used TCP/IP protocol suite.
Web Technologies
The aim of this module is to provide students with practical skills to examine, translate complex software ideas and concepts into a web application and establish key design principles and methodologies. Students can select and use appropriate tools and techniques with which to design, build, implement, and test a web application. This module also provides opportunity to gain work skills to be able to provide professional documentation for the web pages produced.
Cloud Computing (AWS)
This module provides students with a detailed and essential foundation in cloud computing. Cloud computing is the up and rising technology that will be considered critical in today’s business world. This introductory module to cloud computing describes and explains fundamental aspects of cloud computing concepts, models, technologies, and applications.
Database Management Systems
This module introduces students to the database which are fundamental to current business information system activities. A database typically provides features to enhance compactness, reliability, flexibility and Internet applicability. Students will be introduced to concepts and fundamentals of database systems. Students will be able to specify and create a database model, including the setting of various parameters that can be modified to suit different structured or unstructured data requirements, the design of data, as well as the development of mechanisms for maintenance, storage and retrieval of data based on the business requirements. An open source database tool is considered for verifying the aforementioned features.
Data Structures & Algorithms
This module introduces students to the fundamentals-first approach which builds a strong foundation of advanced programming data structures, algorithms, concepts, and techniques. This module introduces students with programming in a problem-driven way that focuses on problem solving rather than syntax, illustrating advanced data structure concepts by example, and provides hands-on practical laboratory exercises for students to gain programming and technical skills.
Python Data Science Essentials
This module introduces students to a comprehensive overview of Python, a versatile programming language increasingly popular in data science. It emphasizes Python’s application in data science, focusing on techniques for importing, storing, and manipulating data, as well as utilizing essential data science tools for conducting analyses. The course is designed for students with minimal programming experience.
Deep Learning with R Programming
This module introduces students with the main aspects of deep learning and using R based data science basics and techniques. Students will learn to apply R frameworks to real life data, images etc for classification and regression applications. Students will gain concepts to understand what algorithms and methods are best suited for the data. Students will be able to use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.
Hadoop Big Data Analytics
This module introduces students to learn, understand, and practice big data analytics approaches, which include the study of contemporary computing big data technologies and techniques focusing on industry applications. The module emphasizes efficient handling of data of any size, develops the pragmatics of managing data, alongside with retrieval and analysis of information. Mainly the module focuses on conceptualization and summarization of big data trivial data versus big data, big data computing technologies, techniques, and approaches. Students will be exploring different publicly available datasets and select suitable applications.
Cloud Artificial Intelligence (AI)
This module introduces students to the AI algorithms, big data capabilities of a choice of Cloud. Through a blend of lectures, presentations, demonstrations, and hands-on lab exercises, students get an overview of a choice of Cloud and a detailed view of the data processing and machine learning capabilities. This module allows the ease, flexibility, and power of big data solutions on a choice of Cloud.
Practicum/Research Project
This module provides an opportunity for students to undertake a task of a suitable size that allows him/her to apply the appropriate skills and knowledge learnt in the Advanced Diploma. It is normally expected that the project will involve, in addition to evidence of meeting targets in the area of self and time management, relevant background reading and research, and use of appropriate tools and techniques for design and development. Work produced here must be of professional competence suitable for the level of the Higher Diploma course. Students will undertake a significant piece of individual applied academic work in an area of their own interest relevant to, and demonstrating technical skills acquired in, their programme of study. Students will normally need to research one or more academic topic areas and then apply their findings to the construction and implementation of a computer-based system.
Full programme structure and learning outcomes
Get detailed breakdowns and learn about the advantages of learning with LSBF Singapore.
what to expect
Prepare for a Career in Technology & AI
Programme Aims
- Develop students’ competence and practical skills in advanced technology, cloud AI, and big data management.
- Provide the foundation for future pathway and continuing professional development.
- Provide the relevant knowledge and understanding of big data management as it relates to the wider business context.
- Provide the technical, communication, and practical work skills that will enable graduates to follow a career in all areas of data science and analytics and a wide range of careers in IT, Retail, business, finance, marketing, logistics and administration.
Learning Outcomes
- demonstrate relevant data science and analytics knowledge and understanding of the basic principles of AI, data science, big data management which will equip them with an awareness of the operation of analytics in all aspects of their careers.
- demonstrate proficiency in identifying analytical issues and know how to use their knowledge effectively across a range of problems.
- interpret situations which require analytical input and contribute meaningful and calculated solutions in a timely manner.
- effectively communicate information, arguments, and analysis in a variety of forms to specialist and non-specialist audience
- demonstrate cognitive skills of critical thinking, analysis, and synthesis.
- demonstrate effective problem solving and decision making using appropriate quantitative and qualitative skills including identifying, formulating, and solving problems.
- take and demonstrate responsibility for their own learning and continuing personal and professional development.
- undertake further training, develop existing skills, and acquire new competences that will enable them to assume significant responsibility within organisations.
- recognise the management, economic, legal, social, professional, and ethical issues relating to information technology.
- learn and work both independently and within groups.
- develop the necessary study skills and knowledge to pursue further study.
- develop the professional skills necessary for a career in the IT industry.
- possess effective communication, and teamwork skills.
- present proposals and recommendations in a professional and efficient manner.
Skills you will acquire
$92,000+
median Singapore salary for Accounting
483,000+
Singapore job openings in Accounting
75%
of graduates report positive career outcome
programme structure
Assessment
Assessment methods may vary according to individual module requirements and each module is assessed by:
- Continuous Assessment, Formative and Summative Assessments
- Any combination of class participation, group or individual applied assignments, tests or online quizzes, portfolio, practical examinations, and online written examinations
- Students may advance to attempt the AWS/PANW Certification examination and will be awarded a certificate meeting the AWS/PANW Educate Certification examination requirement.
Attendance requirements
International Students: 90%
Local, PR, non-student pass: 75%
Computer Requirements
| Component | Minimum | Recommended |
| Processor | 1.6 GHz or faster, 2-core Intel Core i5 or equivalent | 1.8 GHz, 2-core Intel Core i5 or equivalent |
| Memory | 6 GB RAM | ≥8 GB RAM |
| Hard Disk | 256 GB disk size | Sufficient free space to install trial software to be downloaded |
| Display | 1280 x 768 screen resolution (32-bit requires hardware acceleration for 4K and higher) | – |
Teacher Student Ratio
40:1 for Lecture/classroom/Seminar
24:1 for Computer Lab
STUDENT SUPPORT SERVICES
Why choose LSBF for your education
Study Materials
Students will receive study materials after they have made full payment for their programme. Replacement of study materials is subject to additional charge.
Student Portal
Students have access to the Student Portal. It is a useful site where the course information and learning materials are available for students’ easy reference.
Accessible Faculty
Students may contact their lecturers directly via email outside the lecture hours for any academic related queries.
Recorded Lectures
We will show compassion and care to all stakeholders as we believe the journey is as important as the outcome.
ELIGIBILITY
Who can apply for this programme
Local students Entry Requirements
Minimum Academic Requirement:
- Two passes in GCE A Level Examinations, or
- International Baccalaureate (24 points)
- Local Polytechnic Diploma in any field
- Completion of LSBF Diploma in Information Technology (applicants can apply to transfer any recognized prior learning credits by applying for Advanced Standing);or
- Vocational Diploma in relevant field of study; or
- Other equivalent qualifications
Minimum English Language Requirement:
- Achieved a grade C6 or better in English language O level, or
- Pass in English Language in Year 10 High School qualification or equivalent.
- IELTS 5.5/TOEFL 550
- Completed LSBF Preparatory Course in English Upper Intermediate Level
Minimum Age
18 years old
Students with non-standard entry requirements (e.g. other PEI qualification etc) will be assessed on a case-by-case basis subject to approval of the Academic Board.
international students Entry Requirements
Minimum Academic Requirement:
- Completion of Year 12 High School Qualification or equivalent qualification from respective home countries
- Completed International Baccalaureate (24 points)
- Equivalent Local Polytechnic Diploma in any field in respective home countries
- Completion of LSBF Diploma in Information Technology (applicants can apply to transfer any recognized prior learning credits by applying for Advanced Standing);or
- Vocational Diploma in relevant field of study; or
- Other equivalent qualifications
Minimum English Language Requirement:
- Achieved a grade C6 or better in English language O level, or
- Pass in English Language in Year 10 High School qualification or equivalent.
- IELTS 5.5/TOEFL 550
- Completed LSBF Preparatory Course in English Upper Intermediate Level
Minimum Age
18 years old
Students with non-standard entry requirements (e.g. other PEI qualification etc) will be assessed on a case-by-case basis subject to approval of the Academic Board.
TUTION FEES (Inclusive of gst)
$16,350.00
(Local and international students)
FAQs
What career opportunities are available after this diploma?
You may qualify for roles such as AI technician, machine learning assistant, or tech support specialist in startups, research labs, or digital innovation firms.
What can I study after this diploma?
You can progress to University of East London’s Bachelor of Science (Honours) in Computer Science or specialise further in areas like AI, data science, or cybersecurity.
What if AI or tech development isn’t right for me?
That’s okay. The critical thinking and digital exposure you’ve gained can support transitions into data analytics, business tech, or operations.
How do I get started?
Reach out to our expert education consultants at +65 6580 7700 or visit us at 80 Robinson Road, #01-00, Singapore 068898. We’re here to help you plan your next step.
