Master of Business Administration
Kaplan Higher Education Academy (KHEA) in Singapore offers a robust Master of Business ...
Bachelor of Data Analytics in Business Intelligence and Artificial Intelligence and Autonomous Systems (Double Major)
Singapore
INTAKE: Jan, May & Aug
Program Overview
The Bachelor of Data Analytics in Business Intelligence and Artificial Intelligence and Autonomous Systems (Double Major) is designed for students seeking advanced expertise in both business analytics and cutting-edge AI technologies. The program equips students with the knowledge and skills to analyze complex datasets, develop predictive models, design intelligent systems, and implement autonomous solutions in real-world business and technological environments. By combining business intelligence with AI and autonomous systems, students gain a unique multidisciplinary skill set that prepares them for high-demand roles in data-driven industries, technology firms, and innovative business solutions worldwide.
Curriculum: The curriculum integrates core business and data analytics principles with advanced modules in AI and autonomous systems. Key modules include Data Mining, Business Intelligence Tools, Predictive Analytics, Machine Learning, AI Systems Design, Robotics and Autonomous Systems, Data Visualization, and Strategic Decision-Making. The program emphasizes experiential learning through projects, case studies, simulations, and collaborative work. Students gain hands-on experience with analytics software, AI algorithms, autonomous system frameworks, and real-world business scenarios, enabling them to develop innovative, data-driven solutions.
Research Focus: KHEA encourages students to engage in research that strengthens analytical thinking, problem-solving, and technological innovation. Students explore topics such as predictive modeling, AI-driven business solutions, autonomous system development, machine learning applications, and data-driven decision-making. Faculty mentors guide students in undertaking research projects that generate actionable insights, support technological advancements, and contribute to practical applications in business intelligence and AI-driven autonomous systems. These research opportunities prepare graduates for both professional practice and advanced academic studies in analytics, AI, or autonomous technologies.
Industry Engagement: The program emphasizes strong industry engagement to ensure students gain practical experience in business intelligence, AI, and autonomous systems. Opportunities include internships, corporate projects, workshops, and networking sessions with technology firms, data-driven enterprises, AI startups, and research institutions. These experiences allow students to apply theoretical knowledge in real-world settings, develop technical and analytical skills, and build professional networks that enhance employability in AI, business intelligence, and autonomous systems roles.
Global Perspective: Through its interdisciplinary curriculum and international collaborations, the program provides students with a global perspective on AI, autonomous systems, and business intelligence practices. Students study international case studies, cross-industry AI applications, global data strategies, and emerging technologies. Opportunities for international seminars, collaborative research, and peer interactions worldwide help students develop cultural awareness, adapt to diverse technological and business environments, and implement innovative AI-driven solutions in global contexts.
Location
Singapore
Score
IELTS 6
Tuition Fee
SGD 14650
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 73 or higher.
- PTE: Overall score of 50 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 Data Analytics in Business Intelligence and Artificial Intelligence and Autonomous Systems (Double Major) at Kaplan Higher Education Academy, Singapore are equipped with a versatile and multidisciplinary skill set, combining expertise in data analytics, business intelligence, artificial intelligence, and autonomous system technologies.
Business Intelligence Analyst: Design and implement BI solutions, create dashboards, and analyze organizational data to provide actionable insights for strategic decision-making.
Data Scientist: Apply advanced analytics, machine learning, and predictive modeling techniques to solve complex business problems and optimize processes.
AI Systems Developer: Develop, implement, and optimize AI algorithms and autonomous systems for business or technological applications.
Machine Learning Engineer: Build and deploy machine learning models for predictive analytics, automation, and decision support in various industries.
Data Analytics Consultant: Advise organizations on leveraging business intelligence and AI-driven insights to enhance operational efficiency and competitive advantage.
Autonomous Systems Specialist: Design and manage autonomous technologies, robotics solutions, and intelligent systems across industrial, commercial, or research applications.
Big Data Analyst: Collect, process, and interpret large-scale datasets to inform strategic planning, business optimization, and predictive modeling.
Operations Analyst: Use data analytics and AI tools to improve supply chain operations, resource allocation, and process efficiency.
Digital Transformation Specialist: Lead initiatives integrating AI, business intelligence, and analytics to drive innovation and digital transformation within organizations.
Research Analyst – AI and BI: Conduct research on AI applications, autonomous systems, and business intelligence strategies to provide actionable insights for industry or policy development.
