Master of Business Administration
Kaplan Higher Education Academy (KHEA) in Singapore offers a robust Master of Business ...
Bachelor of Data Analytics in Business Intelligence
Singapore
INTAKE: Jan, May & Aug
Program Overview
The Bachelor of Data Analytics in Business Intelligence is designed for students seeking advanced knowledge and practical skills in data analysis, business intelligence, and decision-making processes. This program equips students with the ability to collect, interpret, and transform complex datasets into actionable insights, enabling informed strategic decisions in business environments. Students gain expertise in data management, analytics tools, statistical modeling, and business intelligence technologies, preparing them for high-demand roles in data-driven industries, including finance, marketing, supply chain, and management.
Curriculum: The curriculum integrates core business principles with specialized modules in data analytics and business intelligence. Key modules include Data Mining, Predictive Analytics, Business Intelligence Tools, Big Data Analytics, Statistical Analysis, Data Visualization, Database Management, and Strategic Decision-Making. The program emphasizes practical learning through case studies, hands-on projects, and real-world business simulations. Students gain experience in applying analytics software, interpreting datasets, creating dashboards, and developing data-driven solutions to address complex business challenges.
Research Focus: KHEA encourages students to undertake research that enhances analytical thinking, problem-solving, and strategic decision-making skills. Students explore topics such as predictive modeling, business performance analytics, data-driven marketing strategies, and emerging trends in business intelligence. Faculty mentors guide students in conducting research projects that provide actionable insights, support evidence-based business strategies, and contribute to innovations in analytics and decision-making processes. These research opportunities prepare graduates for professional roles or advanced studies in data analytics, business intelligence, and related fields.
Industry Engagement: The program emphasizes strong industry engagement to ensure students gain practical exposure to real-world business intelligence and analytics challenges. Opportunities include internships, corporate projects, workshops, and networking sessions with professionals from finance, technology, marketing, and consulting firms. These experiences allow students to apply theoretical knowledge in professional settings, develop technical and analytical skills, and build networks that enhance employability in data analytics, business intelligence, and decision-making roles.
Global Perspective: Through its industry-aligned curriculum and international collaborations, the program provides a global perspective on business analytics and intelligence practices. Students engage with international case studies, cross-industry data strategies, and emerging technologies in global business contexts. Opportunities for international seminars, collaborative projects, and interactions with peers worldwide help students develop cultural intelligence, adapt to diverse business environments, and implement effective data-driven solutions in multinational and cross-cultural organizations.
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 at Kaplan Higher Education Academy, Singapore are equipped with a versatile skill set combining expertise in data analysis, business intelligence, statistical modeling, and strategic decision-making.
Business Intelligence Analyst: Design and implement BI solutions, develop dashboards, and analyze organizational data to provide actionable insights for strategic decisions.
Data Analyst: Collect, process, and interpret large datasets to identify trends, patterns, and opportunities for business improvement.
Data Scientist: Apply advanced analytics, machine learning, and predictive modeling to solve complex business problems and support data-driven strategies.
Business Analyst: Use data-driven insights to improve business processes, optimize operations, and guide organizational decision-making.
Financial Analyst: Analyze financial data, forecast trends, and provide actionable recommendations to support investment, budgeting, and strategic planning.
Marketing Analyst: Evaluate marketing performance using data analytics, consumer behavior insights, and campaign effectiveness to drive business growth.
Operations Analyst: Leverage data to optimize supply chain operations, resource allocation, and overall organizational efficiency.
Data Visualization Specialist: Create visual representations of complex datasets, enabling stakeholders to easily understand insights and make informed decisions.
Risk Analyst: Assess, quantify, and mitigate business risks by applying analytical models and predictive techniques.
Consultant – Business Analytics: Advise organizations on implementing data-driven strategies, business intelligence tools, and analytics frameworks to enhance performance and competitiveness.
