Master in Data Analytics

Woosong University in Daejeon, South Korea, founded in 1954, blends practical training with a global outlook to prepare students for international careers. With about 13,000 students, including roughly 2,500 international students, Woosong offers programs in business, engineering, design, hospitality management and more. The campus emphasizes English-language instruction, modern facilities and a supportive environment for students arriving from abroad.

The university prioritizes hands-on learning and industry partnerships that bring real-world projects into the classroom. Entrepreneurship and innovation are embedded across curricula, and students benefit from internships, lab access and collaboration with local and international companies. Smaller class sizes and dedicated faculty make it easier for students to receive individual guidance on academic and professional pathways.

International applicants will find a welcoming community, targeted student services and pathways that ease academic transition and career placement. Woosong encourages cross-cultural exchange through clubs, events and joint programs with partner institutions. Graduates leave with practical skills, English proficiency and an international mindset that supports careers in Korea and beyond.

The Master in Data Analytics at Woosong University is a 2-year program that teaches students to collect, store, and process data to improve business models and operations. This Master's degree in Data Analytics is taught in English and is based in Daejeon, South Korea. It helps students become well-balanced data analysts with strong statistical, programming, and analytical skills.

The curriculum covers subjects such as data mining, machine learning, and data visualization, helping students develop skills in programming languages like Python or R. The program also includes hands-on components, where students can work on real-world projects and apply their knowledge to generate valuable business insights.

Graduates of this program can pursue careers such as Data Scientist, Business Intelligence Analyst, Quantitative Analyst, Data Engineer, or Statistical Analyst. They can work in various industries, including finance, healthcare, or technology, and can be employed by companies like Google, Amazon, or Microsoft.