Overview
The Master of Science in Data Science program at UIII is built on the belief that the most meaningful data-driven solutions emerge at the intersection of technical expertise and deep domain understanding. The program serves two kinds of learners: those with strong analytical or computational backgrounds who want to engage seriously with questions about society, environment, and the world beyond the data, and those trained in their respective domain knowledge who want to utilize the sheer power of data within their field.
The curriculum integrates methods and domain knowledge rather than treating them as separate tracks. A social scientist and a mathematician will find themselves in the same classroom. One learning to build statistical models, the other learning to ask better questions about society, governance, and human behavior. Our students work together on real-world problems where analytical thinking and contextual understanding are equally indispensable.
Over two years, students build a solid foundation in statistical and computational methods alongside dedicated coursework in domain knowledge spanning areas such as electives on sustainability, governance, and education. The program is designed to keep pace with the latest industry tools and practices while remaining firmly research-oriented, ensuring graduates are equipped to contribute meaningfully both in professional settings and in advancing knowledge in their fields.
Why Choose This Program
High Qualified Faculty
All faculty members obtained their PhDs from globally renowned institution. Their academic experience is also combined with industry experience to ensure a well-rounded education.
Relevant Curriculum
The program's curriculum is structured using the OBE framework, emphasizing the integration of:
- Comprehensive theoretical knowledge.
- Hands-on technical experimentation.
- Real-world applications for societal and industrial impact.
Focus Areas
Students learn the general data science techniques in statistics and computer science, with tailored courses addressing:
- Sustainability and environmental challenges.
- Religious studies and governance.
- Evaluation of educational system.
Industry Partnerships
UIII collaborates with leading Indonesian companies and organization to develop professional experience via internships.
Course Details
Structure
Year 1: Core coursework in statistics, computing, and domain field exploration. Year 2: Latest advance in AI, advanced specialization, capstone projects, and thesis development.
1st Semester
- Foundations of Data Science: 3 units
- Research Methodology and Data Literacy: 3 units
- Advanced Programming for Data Science: 3 units
- Wasatiyyatul Islam in a Globalizing World: 3 units
2nd Semester
- Applied Statistical Modelling for Data Science Research: 3 units
- Machine Learning Methods: 3 units
- Data Engineering for Research: 3 units
- Domain Exploration and Research Design for Data Science: 3 units
3rd Semester
- Capstone Project: 3 units
- Research Proposal: 2 units
- Latest Advance in AI Technology: 3 units
- Elective Course: 3 units (Students can choose one of these elective courses including Computational Modelling, Simulation and Optimisation, Computational Linguistic, Computer Vision, and Introduction to BioInformatics)
4th Semester
- Thesis: 6 units
Entry Requirements
Entry Requirements
- A bachelor's degree from any major (expected to graduate before the semester commence). Applicants with some quantitative and computational background are preferred (science, engineering, computer science) but other major with a strong academic background and motivation letter will be considered.
- Proof of English proficiency (e.g., TOEFL score of 525 or IELTS equivalent).
- A compelling statement of purpose explaining academic and professional goals.
Documents Requirements
- KTP for National Applicant
- Passport for International Applicants
- CV (ATS Format)
- Motivation Letter (500 – 700 Words)
- Diploma Certificate
- Transcript
- English Proficiency
- Formal Self Photo
Selection Process
- Administrative
- Desk Review + Take home test
- Interview
Contact
Website: fst.uiii.ac.id | Email: fst@uiii.ac.id | WA: +62 851-1102-4363