Master of Business Administration
Kaplan Higher Education Academy (KHEA) in Singapore offers a robust Master of Business ...
Master of Science Data Analytics
Singapore
INTAKE: Jun & Dec
Program Overview
The Master of Science in Data Analytics, awarded by the University of Portsmouth, UK, and delivered at Kaplan Higher Education Academy (KHEA), Singapore, is designed to empower students with advanced analytical skills and data-driven decision-making capabilities. As organizations increasingly rely on big data insights to drive growth and innovation, this program prepares professionals to extract meaningful intelligence from vast datasets using modern analytical tools, machine learning techniques, and visualization strategies. Students gain both the technical expertise and business awareness needed to solve complex problems, optimize performance, and support strategic planning across various industries.
Curriculum: The curriculum is structured to ensure a balanced blend of theoretical foundations and practical application. Key modules include Data Mining and Warehousing, Machine Learning, Predictive Analytics, Big Data Technologies, Advanced Statistics, and Data Visualization. Students work extensively with analytical software, programming languages, and real-world datasets to develop hands-on experience in data processing, modeling, and interpretation. Capstone projects and group assignments strengthen critical thinking and teamwork skills while simulating real industry scenarios.
Research Focus: The program promotes a strong research-driven learning approach, allowing students to dive into emerging trends and advanced methods in the data analytics field. Students explore areas such as artificial intelligence applications in analytics, consumer behavior modeling, business intelligence optimization, and ethical data governance. Research projects help students develop analytical reasoning, methodology design, and the ability to propose data-supported solutions that address organizational challenges effectively.
Industry Engagement: KHEA maintains strong links with professional data-driven industries to provide students with practical exposure and valuable networking opportunities. The program incorporates workshops, guest lectures, and industry-focused projects guided by experienced analytics practitioners. Through real-world challenges and practical insights, students gain the confidence and readiness to apply their skills in dynamic business environments. These industry interactions enhance employability and help graduates meet evolving job market requirements.
Global Perspective: The MSc in Data Analytics equips students with a global mindset, recognizing that data-driven innovation impacts organizations worldwide. International case studies, cross-cultural data management approaches, and global market analytics prepare students to excel in multinational companies and digital transformation initiatives. The globally recognized degree from the University of Portsmouth enhances career mobility, opening opportunities in international markets where data analytics skills are in high demand.
Location
Singapore
Score
IELTS 6
Tuition Fee
SGD 27032
Postgraduate Entry Requirements
Application Fee: SGD 523
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 60% or above in their bachelor's degree.
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 Master of Science in Data Analytics from Kaplan Higher Education Academy (KHEA), Singapore gain exceptional analytical, statistical, and technological expertise that enables them to excel in data-driven roles across multiple industries.
Data Analyst: Responsible for analyzing large datasets, uncovering trends, generating insights, and supporting data-driven business strategies.
Data Scientist: Focuses on developing predictive models, applying machine learning techniques, and delivering intelligent solutions to complex business challenges.
Business Intelligence Analyst: Designs dashboards, reporting systems, and visualization tools to improve business performance and support executive decision-making.
Data Engineer: Builds and maintains scalable data pipelines, architectures, and systems that support efficient data storage, access, and processing.
Machine Learning Specialist: Develops, trains, and optimizes machine learning algorithms to automate processes and enhance operational efficiency.
Predictive Analytics Consultant: Works with organizations to forecast outcomes, identify opportunities, and optimize processes using statistical modeling.
Big Data Analyst: Interprets and processes massive datasets generated from digital systems to provide actionable insights for business growth.
Data Governance Specialist: Ensures data privacy, compliance, security, and management policies are properly implemented across organizational systems.
Market Research Analyst: Analyzes consumer behavior, market trends, and competitive data to support product development and marketing strategies.
AI and Data Strategy Consultant: Advises organizations on implementing AI-driven analytics solutions and improving data utilization to achieve strategic goals.
