Master of Data Science (Non-Thesis) (English)

The tuition fee for the Master of Data Science (Non-Thesis) (English) program at the university is competitive and reflects the high quality of education provided. Specific fees can vary, so it is advisable to check the official university website for the most up-to-date information.

Yes, the university offers various scholarships for international students enrolling in the Master of Data Science (Non-Thesis) (English) program. These scholarships aim to support talented students financially and can significantly reduce the cost of tuition.

The university provides flexible payment plans for students enrolled in the Master of Data Science (Non-Thesis) (English) program. Students can typically choose to pay their tuition fees in installments, making it easier to manage their finances while studying.

Financial aid options are available for international students at the university, including grants and loans. Students interested in financial aid should contact the university’s financial services office for detailed information on eligibility and application processes.

To be admitted to the Master of Data Science (Non-Thesis) (English) program at the university, applicants typically need a bachelor’s degree in a related field and meet specific GPA requirements. Additional prerequisites may include relevant coursework in mathematics or programming.

Students can apply for the Master of Data Science (Non-Thesis) (English) program at the university through the online application portal. It is essential to submit all required documents, including transcripts and letters of recommendation, before the application deadline.

Applicants to the Master of Data Science (Non-Thesis) (English) program at the university must submit several documents, including a completed application form, academic transcripts, a statement of purpose, and letters of recommendation. Proof of English proficiency is also required for non-native speakers.

The university accepts various language proficiency tests for the Master of Data Science (Non-Thesis) (English) program, including TOEFL and IELTS. Applicants should ensure that their scores meet the minimum requirements set by the university to be considered for admission.

The curriculum for the Master of Data Science (Non-Thesis) (English) program at the university includes core courses in data analysis, machine learning, and statistical methods. Students also have the opportunity to select electives that align with their career interests, enhancing their learning experience.

Graduates of the Master of Data Science (Non-Thesis) (English) program at the university can expect to find diverse career opportunities in data analysis, data engineering, and machine learning roles across various industries. The program's strong emphasis on practical skills prepares students for the competitive job market.