SCHOOL OF DATA SCIENCE
Studying data science is like going on an exciting journey to find valuable information in data, and it's a smart choice for the future. Jobs in data science are in high demand because data is important in many industries. You'll learn how to use math and computers to solve problems, which makes you attractive to employers. Whether you want to shape the future with data or enjoy working with it, studying data science offers an exciting path with great career opportunities.
VISION
To become an internationally renowned Data Science Study Program, recognized for excellence in the analysis and utilization of data powered by artificial intelligence to generate innovative solutions that contribute to societal progress through a multidisciplinary approach.
MISSION
- To provide excellent, internationally benchmarked education in Data Science to support the university's vision of becoming a world-class university;
- To conduct research and foster innovation in Data Science through a multidisciplinary approach, generating data-driven solutions that benefit society;
- To cultivate an academic environment that promotes creativity, inclusivity, and openness, producing graduates with global competencies, an innovative mindset, and entrepreneurial spirit;
- To establish strategic partnerships with industry, research institutions, and academic communities to advance education, research, and the application of Data Science, contributing to social and economic progress.
GRADUATE PROFILES
UNIJI’s Data Science programme prepares graduates to transform data into meaningful insights, predictive models, and practical solutions for industry and society. The programme combines statistics, programming, data engineering, and artificial intelligence with professional ethics, effective communication, collaboration, and continuous learning.
Graduates are prepared to pursue entry-level professional opportunities across four core profiles:
1. Data Analyst
Collects, cleans, explores, and visualises data to identify trends and communicate findings that support informed decisions. Connects organisational questions with clear, evidence-based insights.
2. Data Scientist
Applies statistical methods and machine learning to analyse complex datasets, identify patterns, and develop predictive models. Evaluates model performance and interprets results to help address practical problems.
3. Data Engineer
Builds and maintains basic data pipelines that collect, store, and integrate data from different sources. Supports data quality and availability so that reliable data can be used for analysis, reporting, and intelligent applications.
4. Machine Learning / AI Engineer
Contributes to implementing machine learning and artificial intelligence models within software applications. Supports the development, integration, and evaluation of predictive and intelligent systems.
Course & Subject Unit (144 Credit Points)
| UNNB1101 | Religions of the World |
| UNTS1101 | Introduction to Computing |
| UNTS1102 | Applied Mathematics |
| UNIK1101 | Academic Writing in English |
| UNTS1201 | Statistics |
| UNNB1201 | Indonesian Way of Life/Pancasila |
| UNTS1202 | Design Thinking and Innovation |
| UNIK1302 | Business Communication |
| UNTS2401 | Research Methodology & Journal Reading |
| UNNB2401 | Applied Indonesian Language |
| UNNB2501 | Civics |
| UNPD2601 | Innovation and Entrepreneurship Boot Camp |
| UNPD2602 | Good Corporate Governance and Anti Corruption |
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