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 Computer Science
Singapore
INTAKE: Jan, May & Aug
Program Overview
The Bachelor of Data Analytics in Business Intelligence and Computer Science is designed for students seeking advanced skills in both business analytics and computer science. This program equips students with the knowledge to collect, process, and interpret complex datasets, develop data-driven solutions, and apply computational techniques to solve real-world business and technology challenges. By integrating business intelligence with computer science, students gain expertise in analytics, software development, programming, and algorithmic problem-solving, preparing them for careers in data-driven decision-making, technology innovation, and strategic business operations.
Curriculum: The curriculum combines core principles of data analytics, business intelligence, and computer science with specialized modules. Key modules include Data Mining, Predictive Analytics, Database Management, Programming for Data Science, Algorithms and Data Structures, Business Intelligence Tools, Data Visualization, and Software Development. The program emphasizes hands-on learning through projects, case studies, and collaborative assignments. Students gain practical experience in coding, software design, BI software, and data analysis to develop innovative and efficient solutions for complex business and technological challenges.
Research Focus: KHEA encourages students to undertake research that enhances analytical thinking, computational problem-solving, and technology-driven decision-making skills. Students explore topics such as machine learning applications, AI-driven analytics, software optimization, business intelligence, and data-driven strategy development. Faculty mentors guide students in research projects that provide actionable insights, contribute to innovations in analytics and computer science, and support evidence-based decision-making in professional contexts. These research opportunities prepare graduates for advanced studies or professional roles in analytics, IT, and business intelligence.
Industry Engagement: The program emphasizes strong industry engagement to ensure students gain practical exposure to real-world analytics and technology applications. Opportunities include internships, corporate projects, workshops, and networking sessions with professionals from IT firms, consulting companies, technology startups, and data-driven enterprises. These experiences allow students to apply theoretical knowledge in professional settings, develop technical and analytical skills, and build networks that enhance employability in analytics, computer science, and business intelligence roles.
Global Perspective: Through its interdisciplinary curriculum and international collaborations, the program provides a global perspective on business intelligence and computer science practices. Students study international case studies, cross-industry technology applications, and emerging trends in global analytics and computing. Opportunities for international seminars, collaborative research, and interactions with peers worldwide help students develop cultural awareness, adapt to diverse technological and business environments, and implement innovative, data-driven solutions in multinational 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 and Computer Science at Kaplan Higher Education Academy, Singapore are equipped with a comprehensive and multidisciplinary skill set, combining expertise in data analytics, business intelligence, computer science, and software development.
Business Intelligence Analyst: Develop and implement BI systems, analyze organizational data, and provide actionable insights to support strategic business decisions.
Data Scientist: Utilize advanced analytics, machine learning, and predictive modeling to solve complex business problems and optimize processes.
Software Developer: Design, develop, and maintain software applications and systems that support data analytics, business intelligence, and organizational efficiency.
Data Analyst: Collect, process, and interpret complex datasets to identify trends, insights, and opportunities for business improvement.
AI and Machine Learning Engineer: Build and deploy AI models and machine learning algorithms to enhance data-driven decision-making and automation.
Systems Analyst: Evaluate and optimize business information systems to improve performance, efficiency, and decision-making capabilities.
Database Administrator: Manage and maintain databases, ensuring data integrity, security, and accessibility for analytics and BI purposes.
IT Consultant – Analytics Solutions: Advise organizations on integrating computer science, analytics, and business intelligence tools to optimize operations and strategy.
Cybersecurity Analyst: Protect organizational data and systems, implement security measures, and ensure compliance with data protection regulations.
Digital Transformation Specialist: Lead initiatives that integrate analytics, business intelligence, and computing technologies to drive innovation, automation, and technology-enabled growth.
