BA in Conflict Analysis and Resolution
George Mason University – Korea (GMU-Korea) offers a distinctive BA in Co...
BS in Computational and Data Sciences
Songdo
INTAKE: Mar & Sept
Program Overview
George Mason University – Korea (GMU-Korea) offers a BS in Computational and Data Sciences (CDS) designed to prepare students for careers in data-driven industries, computational modeling, and advanced analytics. The program combines computer science, mathematics, and statistics to equip students with the skills to collect, process, and analyze complex datasets, develop algorithms, and create computational models. Graduates are trained to solve real-world problems in finance, healthcare, technology, engineering, and research, making them highly competitive in both national and international job markets.
Curriculum: The curriculum integrates foundational courses in computer science, mathematics, and statistics with specialized training in data science and computational methods. Core courses include Programming Fundamentals, Data Structures and Algorithms, Probability and Statistics, Machine Learning, Database Systems, and Data Visualization. Electives may include Big Data Analytics, Artificial Intelligence, Computational Modeling, and Scientific Computing. Students gain hands-on experience through laboratory exercises, coding projects, simulations, and capstone research projects that allow them to apply computational and analytical techniques to practical challenges.
Research Focus: GMU-Korea emphasizes research in areas such as data mining, machine learning, predictive analytics, algorithm design, and computational modeling for scientific and business applications. Faculty mentorship provides students with opportunities to engage in quantitative and qualitative research, develop innovative solutions, and utilize advanced computational tools. This research orientation prepares graduates to contribute to evidence-based decision-making and technology-driven solutions in a variety of fields.
Industry Engagement: The university maintains partnerships with technology companies, research institutions, consulting firms, and multinational corporations. Internships, collaborative projects, and workshops provide students with hands-on experience in data analysis, algorithm development, and computational modeling. These engagements allow students to understand industry practices, build professional networks, and acquire practical skills required for careers in computational and data sciences.
Global Perspective: GMU-Korea emphasizes a global approach to computational and data sciences, preparing students to operate in international and multicultural environments. Opportunities for study abroad programs, global internships, and exchanges with GMU’s main campus in the United States expose students to international best practices in data analysis, high-performance computing, and data-driven decision-making. Graduates are equipped to pursue careers in global technology companies, research organizations, finance, healthcare analytics, and scientific computing.
Location
Songdo
Score
IELTS 6.5
Tuition Fee
KRW 27838000
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 75% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 80.
- Some programs may have specific subject prerequisites or additional requirements.
George Mason University – Korea (GMU-K) offers a variety of scholarships and financial aid opportunities specifically designed for international students, aiming to recognize academic excellence, support financial needs, and encourage global talent to pursue higher education in South Korea. These scholarships enhance accessibility to world-class education and foster a diverse and inclusive learning environment.
Merit-Based Scholarships: GMU-K provides merit-based scholarships to international students who demonstrate outstanding academic performance. These awards are typically granted based on previous academic records, standardized test scores, and overall potential for success at the university. Merit scholarships can significantly reduce tuition fees, making high-quality education more accessible to talented students from around the world.
Need-Based Financial Aid: International students with financial constraints may apply for need-based scholarships and financial support. These programs are designed to assist students who demonstrate economic need, helping cover tuition fees, living expenses, and other educational costs. Students are encouraged to submit detailed financial documentation to be considered for these awards.
Program-Specific Scholarships: Certain programs at GMU-K, particularly in fields such as business, computer science, engineering, and data analytics, may offer scholarships for students showing exceptional promise or leadership in their respective areas. These awards aim to attract top talent into high-demand academic disciplines.
George Mason University – Korea (GMU-Korea) offers a BS in Computational and Data Sciences (CDS) that equips students with advanced computational, analytical, and data-driven problem-solving skills.
Data Scientist: Graduates analyze large datasets, apply machine learning algorithms, and develop predictive models to inform strategic decisions.
Data Analyst: Professionals interpret and visualize data, identify trends, and provide actionable insights for business, healthcare, or technology organizations.
Machine Learning Engineer: Graduates design, implement, and optimize machine learning models for applications in AI, robotics, or predictive analytics.
Software Developer / Engineer: Professionals develop software applications, computational tools, and data-driven solutions for various industries.
Business Intelligence (BI) Analyst: Graduates create dashboards, reports, and data-driven insights to support decision-making in organizations.
Quantitative Analyst (Quant): Professionals in finance or research use computational and statistical models to analyze financial markets or scientific data.
Research Scientist (Computational/Applied): Graduates conduct research using computational methods, simulations, and algorithmic modeling in scientific or engineering domains.
Big Data Engineer: Professionals design, build, and maintain large-scale data systems and pipelines for handling high-volume data in real time.
AI Specialist / Artificial Intelligence Analyst: Graduates apply AI techniques to automate processes, optimize systems, and develop intelligent applications.
Healthcare Data Analyst: Professionals analyze clinical and operational data to improve patient outcomes, optimize hospital processes, and support evidence-based healthcare decisions.
