Sarjana Sains Data

The Sarjana Sains Data program at Institut Teknologi Sepuluh Nopember offers an immersive educational experience focused on the principles and practices of data science. This bachelor's degree equips students with robust analytical skills, programming expertise, and a deep understanding of statistical methodologies, essential for extracting meaningful insights from vast data sets. The curriculum encompasses a variety of subjects, including data mining, machine learning, big data analytics, and data visualization, preparing students to tackle complex real-world problems.

The typical structure of the program includes a blend of theoretical knowledge and practical application. Students will engage in hands-on projects, industry collaborations, and internships that enhance their technical abilities and enable them to work effectively in teams. Emphasis is placed on developing critical thinking and problem-solving skills as students learn to process, analyze, and interpret data across various contexts.

Studying data science in this country offers unique opportunities for engagement with the vibrant tech ecosystem and diverse industries in need of data expertise. As innovation thrives, students can benefit from networking opportunities, workshops, and exposure to leading technology firms. Moreover, the growing emphasis on data-driven decision-making in businesses ensures that graduates are well-positioned for success in an increasingly competitive job market.

To be eligible for the Sarjana Sains Data program, prospective students typically must possess a high school diploma or equivalent qualification with a strong foundation in mathematics and science. Applicants are expected to demonstrate proficiency in relevant subjects, such as statistics and computer science, as well as a keen interest in data analysis and technology.

International students are generally required to provide proof of English language proficiency through standardized testing, such as IELTS or TOEFL. Typical benchmarks might include a minimum IELTS score of 6.0 or a TOEFL score of around 80. Strong communication skills in English, both written and oral, are essential for success in the program.

International students should be prepared to apply for a student visa, which entails providing necessary documentation such as proof of admission, financial resources, and accommodation arrangements. It is crucial to review the official requirements for visa application and compliance with regulations specific to international students.

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Statistical Analyst
• Data Engineer
• Consultant in Data Strategy
• Research Scientist