OVERVIEW
About this Programme
Earn a Bachelor of Science (Honours) Data Science and Artificial Intelligence at LSBF Singapore Campus. You will receive a comprehensive understanding of both the theoretical foundations and practical applications of Data Science and Artificial Intelligence, equipping them with the knowledge and skills required for the specification, design, implementation, and evaluation of information processing systems.
Top 40 UK University and top 6 in London – Guardian University Guide 2026
University of the Year for Teaching Quality
Fastest-rising university in England for graduate employability – Graduate Outcomes Survey 2025
Teaching Excellence Framework Silver Award
MODULES
Designed to explore beyond subject knowledge
This programme enables learners to critically assess the management, economic, legal, social, professional, and ethical implications of data-intensive technologies while developing the academic and research skills necessary for further study. The programme also fosters the professional competencies required for a successful career in the IT industry, including effective communication, initiative, professionalism, problem-solving, and the ability to work both independently and collaboratively. Through a combination of academic study and practical application, the programme provides opportunities for learners to achieve a range of knowledge, skills, and professional learning outcomes.
Information Systems Modelling & Design
This module equips students with the skills and techniques needed to analyse, model, and design information systems. It also addresses key legal, social, ethical, and professional issues related to information systems development, providing a well-rounded foundation in the discipline.
Software Development
This module introduces students to the fundamentals of designing, implementing, and testing software applications using a high-level programming language. Taught from first principles, it requires no prior programming experience. It covers programming essentials, including variables, control structures, arrays, and procedural programming methodology. It then introduces object-oriented programming concepts such as objects, classes, and inheritance, providing a strong foundation for future software development.
Maths for Computing
This module builds a fundamental understanding of mathematical concepts and skills essential for studying and applying computer science. Beginning with basic arithmetic and algebraic principles, the module lays the groundwork for their application across various areas of computer science.
Computer Systems & Networks
This module provides a foundational understanding of computer architecture, exploring the relationship between hardware and software components in a computer system. It also introduces the fundamentals of computer networking, equipping students with essential knowledge for understanding and managing networked systems.
Web Technologies
This module enables students to understand the requirements for web applications and select appropriate tools and techniques for their design and development. Students will gain hands-on experience in designing, implementing, and testing web pages, as well as producing professional documentation to accompany their work.
Mental Wealth & Professional Fitness: Embarking on Professional Development (Computing)
This module will provide students with the opportunity to identify the skills, competencies and experience required for successful development to, and in, a range of potential future career areas.
Database Systems
This module provides students with theoretical and practical knowledge essential for designing, implementing, and applying database management systems. It fosters an understanding of database systems in information management and equips students with technical skills to deploy database management systems using various languages and tools.
Data Structures & Algorithms
This module builds on foundational programming skills, focusing on the distinction, application, and construction of advanced data structures such as queues, stacks, and trees. Students will also acquire conceptual knowledge of algorithm analysis, design, and implementation, including sorting and searching techniques, to solve complex computational problems.
Artificial Intelligence
This module investigates methods of state of the art and research trends in Artificial Intelligence and related topics. In particular, the module introduces AI from machine learning to biologically inspired AI systems. This provides students with knowledge of the principles and applications of AI systems, and to promote appreciation of the current state of development in this area.
Mental Wealth & Professional Fitness: Exploring Professional Development and Career Planning
This module equips students with the skills that are needed to make successful applications for jobs within the IT sector, provides students with opportunities to gain experience of working in the IT industry and apply their knowledge of information and communication technologies, gained elsewhere in their programmes, to the solution of a real-world business problem.
Business Intelligence Analysis
This module provides students with the knowledge of the current trends in business intelligence analysis techniques and related topics and expose students to the skills, techniques and tools that yield the current industrial standards for business analysis.
Programming for Data Science
This module provides students with the skills necessary to prepare, cleaning and data manipulation using commercial use programming language. The module builds on fundamental programming skills taught at level 4 and focuses on a programming language suited for data science tasks and the essential libraries within the programming language for completing data science tasks.
Big Data Infrastructure & Manipulation
This module builds upon the Level 5 Database module by giving students the opportunity to develop skills in access, manipulation, transformation, and analysis of complex data sets using SQL and familiar scripting languages.
Project Management
This module provides students with a thorough understanding of the role of ICT projects in the context of an enterprise environment. The students also expose the critical challenges in managing a project in meeting organizational objectives and satisfying the requirements of a project portfolio. It aims to develop a professional approach towards utilizing standard methodologies, tools and techniques in managing information systems projects.
Mental Wealth & Professional Fitness: Preparing the Future Graduate
Students will undertake a sizeable piece of individual 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 of a computer-based system.
Enterprise Architecture and Cloud Computing
This module provides students with practical knowledge of Enterprise Architecture and Cloud Computing, covering key frameworks, technologies, cloud deployment models, enterprise portals, and collaboration tools. It also explores COBIT, ITIL, and emerging trends in information systems development.
Advanced Topics in Data Science and AI
This module takes you step-by-step through the latest machine learning architectures for processing big data sets for tasks such as classification, regression, recommendation systems and natural language processing. You will be taught the theory and fundamentals of these state-of-the-art techniques, while also learning how to setup, train and evaluate these architectures on public datasets and discuss the ethics of this medium.
Full programme structure & learning outcomes
Get details and learn about the advantages of learning with LSBF.
what to expect
Advance Your Career in Tech
Programme Aims
- Develop advanced skills in data science, artificial intelligence, machine learning, and data analytics.
- Gain comprehensive knowledge and understanding of data science and AI principles and their applications across business and industry.
- Develop technical expertise in data analysis, predictive modelling, machine learning, AI technologies, and data-driven decision-making.
- Cultivate an awareness of the ethical, legal, social, professional, and business implications of AI and data technologies.Understand the principles underpinning data management, AI systems, machine learning models, and analytical technologies.
- Study specialised topics such as data analytics, machine learning, AI applications, data visualisation, and intelligent systems.
- Develop the ability to learn and work effectively both independently and collaboratively on data-driven and AI-related projects.
- Acquire the study skills and foundational knowledge needed for further academic or professional advancement.
- Build the professional and technical skills required for a successful career in data science, AI, analytics, and related technology fields.
Learning Outcomes
Knowledge
- Knowledge and understanding of essential facts, concepts, theories and principles of data science and
- artificial intelligence technology.
- Knowledge and understanding of contemporary tools and technologies to produce solutions relevant to the domain of data science/artificial intelligence.
- Understand the roles and responsibilities of a professional working within the computing profession.
Thinking Skills
- Demonstrate independent thought in the study of data science and artificial intelligence.
- Analyse, interpret, synthesise and evaluate information.
- Identify, select, design and apply appropriate design methods to the solution of problems.
- Evaluate resource requirements of alternative solutions.
Subject-Based Practical Skills
- Retrieve, select and evaluate information from a variety of sources.
- Specify the requirements and practical constraints of data science/artificial intelligence solutions considering a wide range of aspects including legal, ethical and social issues.
- Plan, monitor, and evaluate the progress of an IT project.
Skills for Life and Work (General/Transferable Skills)
- Structure and communicate ideas effectively, both orally and in writing,
- Learn independently in complicated contexts,
- Work professionally as an individual to develop creative solutions to problems,
- Work professionally in teams to develop creative solutions to problems.
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
Attendance requirements
International Students: 90%
Local, PR, non-student pass: 75%
Teacher Student Ratio
1:40
Technical Pre-requisites
| Description | Minimum | Recommended |
|---|---|---|
| Computer and processor | 1.6 GHz or faster, 2-core Intel Core i3 or equivalent | 1.8 GHz, 2-core Intel Core i3 or equivalent |
| Memory | 4 GB RAM | 8 GB RAM |
| Hard Disk | 256 GB disk size | N/A |
| Display | 1280 x 768 screen resolution (32-bit requires hardware acceleration for 4K and higher) | N/A |
| Others | An internet connection – broadband wired or wirelessSpeakers and a microphone – built-in or USB plug-in or wireless BluetoothA webcam or HD webcam – built-in or USB plug-in | N/A |
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
Local/International Students Entry Requirements
Minimum Academic Requirement:
Local learners who have successfully completed either of the following:
- At least two passes in GCE ‘A’ Level; Must include one numerical subject such as Maths or Physics
- International Baccalaureate (25 points); including minimum of 15 points at higher level and must include Maths at higher
level - Local Polytechnic Diploma in any field.
- LSBF Foundation Diploma or International Foundation Diploma in Business and IT or
- LSBF Foundation Diploma (e-learning) or International Foundation Diploma in Business and IT (e-learning) or
Foreign learners who have successfully completed either of the following:
- Completion of Year 12 High School Qualification or equivalent qualification from respective home countries; Must include
Maths or Computer Science or another relevant subject. - Completed International Baccalaureate (25 points); including minimum of 15 points at higher level and must include Maths
at higher level - Equivalent Local Polytechnic Diploma in any field in respective home countries.
- LSBF Foundation Diploma or International Foundation Diploma in Business and IT or
- LSBF Foundation Diploma (e-learning) or International Foundation Diploma in Business and IT (e-learning) or
- LSBF Malaysia Foundation in Arts
- Equivalent Local Polytechnic Diploma in any field in respective home countrie
Minimum English Language Requirement
Applicants who have not studied prior qualifications in English require IELTS 5.5 or equivalent in an accepted English language
test.
- TOEFL iBT min score of 80 or recognised equivalent as follows:
- Hong Kong Level 4 (syllabus B) in the HKCEE
- Indian Standard XII 70%
- Malaysia grade C or better in English language (1119) in SPM
- Sri Lanka grade C Sri Lankan A-level
- Pass in English Language in Year 10 High School qualification or equivalent
- Completed LSBF Preparatory Course in English Upper Intermediate Level
- Dynamic Placement Test (DPT) B2-C2
Minimum Age Requirement
- 18 years or above
Accreditation of Prior Certificated and Experiential Learning:
We welcome applications from those who can demonstrate their enthusiasm and commitment to study and have the
relevant life/work experience that equips them to succeed on the course. We will assess this from the information provided
in your application – your personal statement – to help us decide on your eligibility for the course.
Please note that UEL courses require applicants to meet the entry requirement. LSBF provides pre-counselling and will
be able to provide further advice on entry requirements and suitability for study.
LSBF & UEL will assess this from the information provided in your application or may request additional information
such as a personal statement (max 500 words), a recent CV or attendance at an interview conducted by LSBF.
Students with non-standard entry requirements (e.g. other PEI qualification, lack of equivalent Year 12 in home country, etc.) will
be assessed on a case-by-case basis subject to approval of UEL
TUTION FEES (Price inclusive of GST)
(Year 3 Entry – Top-up)
SGD $ TBA
(local students)
SGD $
(international students & progression)
(Year 2 Entry)
SGD $
(local students)
–
(international students & progression)
(Year 1 Entry)
SGD $
(local students)
SGD $
(international students & progression)
FAQs
Is this programme eligible for SkillsFuture (SSG) or Post-Secondary Education Account (PSEA) funding?
SkillsFuture (SSG) and Post-Secondary Education Account (PSEA) funding are currently applicable only to selected programmes offered by public institutions such as NUS, NTU, and SMU. While this programme is not covered under those schemes, we’re pleased to offer exclusive rebates and promotional rates. To learn more about the available fee support and eligibility, please contact our Education Consultants at +65 6580 7700 or get in touch here.
What career opportunities are available after this degree?
Graduates can work as software engineers, systems analysts, web developers, or IT project managers. These roles are in high demand across Singapore’s digital economy.
What can I study after this degree?
You may progress to University of East London’s Master of Science in Computer Science, or explore other tech-focused Master’s depending on your interests.
What if coding or tech development isn’t for me?
That’s alright. You can pivot to roles in tech support, IT business analysis, or even explore management paths in tech companies.
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.
