Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems and Computer Science (Double Major)

The Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems and Computer Science (Double Major) is designed for students seeking advanced expertise in both AI-driven technologies and core computer science principles. This program equips students with the knowledge and skills to develop intelligent systems, implement autonomous solutions, design software applications, and solve complex computational problems. By combining AI and autonomous systems with computer science, students gain a multidisciplinary skill set that prepares them for high-demand roles in technology, software development, robotics, and AI-driven industries worldwide.

Curriculum: The curriculum integrates foundational IT concepts with advanced modules in artificial intelligence, autonomous systems, and computer science. Key modules include Machine Learning and AI Algorithms, Robotics and Autonomous Systems, Data Structures and Algorithms, Software Development, Programming for AI, Database Management, Artificial Intelligence Applications, and System Design. The program emphasizes hands-on learning through projects, lab work, case studies, and collaborative assignments. Students gain practical experience in coding, AI model development, autonomous system frameworks, and software engineering tools to deliver innovative solutions in real-world scenarios.

Research Focus: KHEA encourages students to engage in research that strengthens computational thinking, problem-solving, and technological innovation skills. Students explore topics such as AI and machine learning applications, autonomous system design, algorithm optimization, software development, and emerging technologies. Faculty mentors guide students in research projects that generate actionable insights, support technological advancements, and contribute to practical applications in AI, computer science, and autonomous system technologies. These research opportunities prepare graduates for professional practice or advanced academic studies in IT, AI, and software engineering.

Industry Engagement: The program emphasizes strong industry engagement to ensure students gain practical experience in AI, autonomous systems, and computer science applications. Opportunities include internships, corporate projects, workshops, and networking sessions with professionals from technology firms, AI startups, software companies, and research institutions. These experiences allow students to apply theoretical knowledge in professional contexts, develop technical and analytical skills, and build networks that enhance employability in software development, AI engineering, and autonomous system roles.

Global Perspective: Through its interdisciplinary curriculum and international collaborations, the program provides students with a global perspective on AI, autonomous systems, and computer science practices. Students study international case studies, cross-industry technology applications, and emerging trends in global IT and AI landscapes. Opportunities for international seminars, collaborative research, and interactions with peers worldwide help students develop cultural intelligence, adapt to diverse business and technological environments, and implement innovative AI-driven and software-based solutions in multinational organizations.

Undergraduate Entry Requirements

Application Fee: SGD 523

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% or above in their previous academic qualifications.

English Language Proficiency:

• IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 71 or higher.
• PTE: Overall score of 51 or higher.

Kaplan Higher Education Academy (KHEA) in Singapore offers a variety of scholarships and financial assistance programs to support international students in pursuing quality higher education. 

Merit-Based Scholarships: Kaplan provides merit-based scholarships for international students who demonstrate outstanding academic performance. These scholarships may cover a portion of tuition fees and are awarded based on previous qualifications, standardized test scores, or exceptional achievements in prior studies.

Need-Based Financial Assistance: For students with strong academic potential but financial constraints, Kaplan offers need-based financial support. This assistance ensures that talented students from diverse economic backgrounds can access quality education without being hindered by financial barriers.

Graduates of the Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems and Computer Science (Double Major) at Kaplan Higher Education Academy, Singapore are equipped with a multidisciplinary skill set combining expertise in AI, autonomous technologies, and core computer science principles.

Artificial Intelligence Engineer: Design, develop, and deploy AI models and machine learning algorithms to create intelligent solutions for business, industrial, and technological applications.

Autonomous Systems Developer: Build, implement, and manage autonomous systems and robotics solutions for industries such as manufacturing, logistics, healthcare, and transportation.

Software Developer: Develop software applications, platforms, and systems integrating AI and autonomous functionalities for diverse technological and commercial needs.

Machine Learning Engineer: Create and optimize machine learning models for predictive analytics, automation, and intelligent decision support systems.

Data Scientist: Analyze large-scale datasets using AI techniques and computational models to extract insights and drive data-driven strategies.

Systems Analyst: Evaluate, design, and optimize complex computer systems to improve performance, efficiency, and decision-making capabilities.

AI Research Scientist: Conduct research on artificial intelligence, machine learning, and autonomous systems to develop innovative solutions and technological advancements.

Cybersecurity Analyst: Protect AI systems, autonomous platforms, and IT infrastructure from cyber threats while ensuring data integrity and compliance with regulations.

Digital Transformation Specialist: Lead projects that integrate AI, autonomous technologies, and computer science solutions to drive organizational innovation and operational efficiency.

IT Consultant – Intelligent Systems: Advise organizations on implementing AI-driven, autonomous, and computer-based systems to optimize processes, decision-making, and strategic growth.