Master of Business Administration
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Bachelor of Science (Honours) Data Science and Analytics (Top-up)
Singapore
INTAKE: Jun & Dec
Program Overview
The Bachelor of Science (Honours) Data Science and Analytics (Top-Up) offered by the University of Portsmouth at Kaplan Higher Education Academy (KHEA), Singapore is a specialized program designed for students who have completed a relevant diploma or foundation in computing, statistics, or mathematics and wish to advance their education to an honours-level degree. This top-up degree equips students with advanced skills in data analysis, statistical modeling, machine learning, and big data technologies, preparing them to extract meaningful insights from complex datasets and make data-driven decisions. Graduates gain both technical expertise and analytical acumen, enabling them to work effectively in sectors such as finance, healthcare, marketing, and technology.
Curriculum: The curriculum builds on foundational knowledge while focusing on advanced topics in data science and analytics. Core modules typically include statistical analysis, data mining, predictive modeling, machine learning, data visualization, database management, and programming for data science (Python, R, or SQL). Students participate in hands-on projects, case studies, and practical exercises, developing the ability to analyze real-world datasets and solve complex problems. A capstone project or research-based dissertation allows students to apply their skills to industry-relevant challenges and demonstrate their expertise in data-driven decision-making.
Research Focus: The program emphasizes applied research in areas such as predictive analytics, artificial intelligence, data-driven business strategy, and data visualization. Students explore methodologies for analyzing structured and unstructured data, developing algorithms, and creating actionable insights. Supervised research projects enable students to develop critical thinking, problem-solving, and analytical skills while addressing practical challenges faced by organizations seeking to leverage data for strategic advantage.
Industry Engagement: KHEA ensures students gain industry-relevant experience to bridge academic learning with professional practice. The program includes guest lectures from data science professionals, workshops, seminars, and collaborative projects with industry partners. Students are encouraged to pursue internships or placements in IT consultancies, data analytics firms, financial institutions, healthcare organizations, or marketing agencies. These experiences provide practical exposure to data collection, analytics software, machine learning tools, and visualization platforms, enhancing employability and professional networks.
Global Perspective: Delivered in Singapore, a leading technology and business hub in Asia, the program offers a global perspective through the University of Portsmouth’s internationally recognized curriculum and cross-campus opportunities. Students engage with multicultural cohorts, regional and international case studies, and global best practices in data analysis, predictive modeling, and business intelligence. Graduates are prepared to work in multinational organizations, global technology firms, consultancies, and research institutions, equipped with the skills to address complex, data-driven challenges in diverse sectors worldwide.
Location
Singapore
Score
IELTS 6
Tuition Fee
SGD 20129
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 Science (Honours) Data Science and Analytics (Top-Up) offered by the University of Portsmouth at Kaplan Higher Education Academy (KHEA), Singapore have a diverse range of career opportunities that combine advanced technical skills, statistical expertise, and analytical thinking.
Data Analyst: Graduates analyze structured and unstructured datasets to uncover patterns, trends, and actionable insights. They generate reports and visualizations that inform strategic business decisions and support operational efficiency.
Data Scientist: Professionals develop predictive models, machine learning algorithms, and statistical analyses to solve complex problems, identify opportunities, and enhance data-driven decision-making across industries.
Business Intelligence (BI) Analyst: Graduates design and implement BI solutions to track key performance indicators, assess organizational performance, and provide strategic recommendations based on data insights.
Machine Learning Engineer: Professionals build, train, and deploy machine learning models to automate processes, enhance predictive capabilities, and support intelligent decision-making in areas such as finance, healthcare, and marketing.
Big Data Engineer / Data Engineer: Graduates design, implement, and maintain large-scale data processing systems and pipelines. They ensure data is accessible, reliable, and structured for analytics and business applications.
Data Visualization Specialist: Professionals create compelling visual representations of complex data, enabling stakeholders to understand insights easily and make informed decisions based on data-driven storytelling.
Analytics Consultant: Graduates provide expert advice to organizations on leveraging data for business strategy, process optimization, and decision-making. They translate complex analytics into actionable recommendations for clients or internal teams.
Quantitative Analyst / Risk Analyst: Professionals work in financial institutions, analyzing large datasets to identify market trends, assess risks, develop predictive models, and support investment or operational strategies.
Operations Analyst: Graduates use data analysis to improve organizational efficiency, optimize resource allocation, and support strategic planning in sectors such as logistics, manufacturing, and supply chain management.
Entrepreneur / Data-driven Start-up Founder: Equipped with strong analytical and technical skills, graduates can establish ventures offering data solutions, analytics services, or AI-driven technologies to address market needs and create innovative business opportunities.
