Executive Master of Business Administration (MBA)
The Executive MBA program at ERC Institute, Singapore, awarded by the University of Chi...
Bachelor of Data Science
Singapore
INTAKE: Mar & Jul
Program Overview
ERC Institute, Singapore, is a leading private education institution offering internationally recognized programs in partnership with top universities. The Bachelor of Data Science, awarded by Deakin University, Australia, is designed to equip students with the analytical, technical, and problem-solving skills required to work with large and complex datasets. This program focuses on data analysis, statistical modeling, machine learning, data visualization, and predictive analytics, enabling graduates to extract meaningful insights that drive business decisions. Students gain practical experience in programming, database management, and data-driven solutions, preparing them for high-demand roles in technology, finance, healthcare, and other data-intensive industries.
Curriculum: The curriculum combines foundational knowledge with advanced data science skills. Core subjects include statistics, probability, programming in Python and R, database systems, machine learning, artificial intelligence, and data visualization. Students also learn about big data technologies, predictive analytics, and cloud computing. Practical projects, laboratory work, and capstone assignments ensure students can apply theoretical concepts to real-world problems. Elective courses allow specialization in areas such as business analytics, healthcare analytics, or data-driven decision-making, providing flexibility to align studies with individual career goals.
Research Focus: ERC Institute emphasizes research-led learning, encouraging students to undertake projects that address real-world challenges in data science. Research areas include predictive modeling, machine learning applications, data mining, and analytics for business intelligence. Students develop analytical thinking, problem-solving skills, and technical documentation capabilities. Faculty-supervised research initiatives ensure that students produce high-quality, relevant outcomes while preparing for potential postgraduate studies or industry innovation.
Industry Engagement: The program provides extensive industry exposure through internships, collaborative projects, and guest lectures by data science professionals. Students gain insights into current industry trends, data-driven business solutions, and best practices in analytics. This engagement enhances employability and allows students to build professional networks, mentorship opportunities, and practical skills directly applicable to careers in data science, business intelligence, and analytics consulting.
Global Perspective: Through its partnership with Deakin University, Australia, ERC Institute ensures that students receive a globally recognized education. The program integrates international standards, methodologies, and best practices in data science. Students develop the ability to work in multicultural environments and understand global data regulations, preparing them for careers in international organizations, multinational corporations, or data-driven technology firms worldwide.
Location
Singapore
Score
IELTS 6
Tuition Fee
SGD 15000
Undergraduate Entry Requirements
Application Fee: SGD 650
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% 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 69 or higher.
- PTE: Overall score of 50 or higher.
ERC Institute (ERCI), Singapore, is committed to supporting international students through a variety of scholarship opportunities aimed at recognizing academic excellence, leadership potential, and professional promise.
Merit-Based Scholarships: ERCI offers merit-based scholarships to international students who demonstrate outstanding academic achievements. These scholarships are awarded to students with excellent grades, strong leadership skills, and notable contributions to their communities. They may cover a partial or full tuition fee, depending on eligibility and the level of achievement.
Early Application Scholarships: International students who apply early and meet program-specific criteria may qualify for early application scholarships. These are designed to encourage proactive enrollment and reward students who show commitment and readiness to join ERCI.
Graduates of the Bachelor of Data Science program have diverse career opportunities across data analytics, technology, finance, and research sectors.
Data Analyst: Interpret and analyze datasets to generate actionable business insights and support strategic decision-making.
Data Scientist: Develop predictive models, machine learning algorithms, and statistical analyses to solve complex problems and optimize organizational processes.
Business Intelligence (BI) Analyst: Design, implement, and maintain BI solutions to monitor business performance and provide data-driven recommendations.
Machine Learning Engineer: Build, train, and deploy machine learning models for automation, predictive analytics, and innovative technology solutions.
Big Data Engineer: Manage, process, and optimize large-scale datasets to ensure efficient analytics and support business intelligence initiatives.
Data Engineer: Design, develop, and maintain data pipelines and architectures to ensure reliable and scalable data management.
AI Specialist: Create artificial intelligence solutions to automate processes, enhance operational efficiency, and drive innovation.
Data Visualization Specialist: Develop visual reports, dashboards, and infographics to communicate complex data insights effectively to stakeholders.
Analytics Consultant: Advise organizations on data-driven strategies, analytics solutions, and performance improvement using insights derived from data.
Quantitative Analyst (Quant): Apply statistical models, computational techniques, and data analysis for financial analysis, risk assessment, and investment strategies.
