Master of Science in Data Science

Addressing global challenges through AI and Big Data

Program Overview

The Master of Science in Data Science program at UIII is designed to equip students with the skills and knowledge necessary to address today’s most pressing challenges. By leveraging the power of Artificial Intelligence (AI) and Big Data, the program focuses on creating solutions for:

  • Sustainability issues (e.g., environmental preservation, smart resource allocation).
  • Religious and governance challenges, fostering harmony and transparency.

Delivered entirely in English, the program offers an inclusive and global academic environment, welcoming both Indonesian and international students to engage in a multidisciplinary and innovative curriculum.

Why Choose UIII’s Master of Science in Data Science?

High Qualified Faculty

All faculty members are Professors and/or PhDs with both academic and industry experience, ensuring a well-rounded education combining theory and practical expertise.

Outcome-Based Education (OBE)

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

Specialize in AI and Big Data, with tailored courses addressing:

  • Sustainability and environmental challenges.
  • Religious studies and governance.
  • Advanced applications in government systems.

Industry Partnerships

Collaborations with leading Indonesian companies providing:

  • Industry-relevant coursework.
  • Opportunities for internships and applied research projects.

Vision, Mission & Graduate Profile

Vision

To produce globally competent data scientists dedicated to ethical practices, sustainability, and multidisciplinary innovation.

Mission

  • Provide cutting-edge education in AI, Big Data, and sustainable solutions.
  • Bridge academic theory with industry practice.
  • Empower graduates to tackle global challenges with ethical and innovative approaches.

Graduate Profile

Graduates will be equipped to excel as:

  • Data Scientists for global governance and sustainability challenges.
  • AI Engineers designing ethical and sustainable solutions.
  • Innovative Problem Solvers driving multidisciplinary impact in various sectors.

Curriculum

Aligned with international standards, covering:

Fundamental theories of data science.

Technical mastery in advanced topics like Generative AI, Big Data analytics, and AI for governance.

Real-world applications to ensure societal relevance.

Program Details

Duration

Designed to be completed in 2 years, with a flexible structure to accommodate research and practical learning.

Structure

  • Semester 1: DS.101 Advanced Programming, DS.102 Mathematical Foundations, DS.103 Research Methodology, UNI.101 Wasatiyah Islam
  • Semester 2: DS.201 Machine Learning Methods, DS.202 Data Engineering, DS.203 Applied Statistical Modelling, DS.204 Domain Exploration
  • Semester 3: DS.301 Deep Learning, DS.302 Industrial Project, Elective Subject, DS.304 Thesis I
  • Semester 4: DS.401 Thesis II (Completion, Examination & Public Defense)

Language

Entire program conducted in English, fostering global competency.

Requirements

  • 1
    A bachelor’s degree in a relevant field (e.g., computer science, engineering, statistics).
  • 2
    Proof of English proficiency (e.g., TOEFL score of 525 or IELTS equivalent).
  • 3
    A compelling statement of purpose explaining academic and professional goals.