Program Overview

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DEGREE OVERVIEW

The POSTECH curriculum is organized into three stages: Core Major, Foundation Major, and Practical Training
In addition, partner universities abroad provide specialized courses focusing on technological advancement and industry-oriented applications

Data Analysis

Data-Driven Problem Solving

Data-Integrated Global Entrepreneurship

Core Major Courses
[POSTECH]

Foundational courses in data science that are required for all majors

Foundation Major Courses
[POSTECH]

Courses tailored to each field of study, focusing on data-driven approaches to domain-specific problems

Specialized/Advanced Courses
[Partner Universities]

Courses offered by overseas partner institutions that emphasize technological specialization and practical industrial applications

Practical Training Courses
[POSTECH]

Courses designed to cultivate global business innovation and entrepreneurial skills

COURSE NO.	LECTURE-LAB-CREDITS	TITLE
IDSC501	3-0-3	Data Engineering
IDSC574	3-0-3	Programming for Data Science
IDSC502	3-0-3	Mathematics for Data Science
IDSC677	3-0-3	Time-Series Analysis
IDSC532	3-0-3	App. of Mathematics and Big Data
IDSC515	3-0-3	Machine Learning
IDSC538	3-0-3	Deep Learning
IDSC627	3-0-3	Reinforcement Learning
IDSC539	3-0-3	Computer Vision
IDSC528	3-0-3	Optimization for Machine Learning
IDSC662	3-0-3	Discrete Optimization
IDSC666	3-0-3	Applied Stochastic Processes
IDSC661	3-0-3	Advanced Linear Programming
IDSC583	3-0-3	Process Mining
IDSC763	3-0-3	Nonlinear Programming
IDSC764	3-0-3	Dynamic Programming and Reinforcement Learning Applications
IDSC572	3-0-3	Service Quality Engineering
IDSC862	3-0-3	Scheduling System
IDSC723	3-0-3	Manufacturing Intelligence
IDSC529	3-0-3	Smart Manufacturing
IDSC582	3-0-3	Game Theory and Business Applications
IDSC503	3-0-3	Corporate Valuation with Case study
IDSC504	3-0-3	Industrial AI Practice
IDSC505	3-0-3	App. of Data Sci. in Big-Tech Co.

COURSE NO.	LECTURE-LAB-CREDITS	TITLE
IDSC897	Variable Credits	Master Dissertation Research
IDSC701	1-0-1	Global Capstone I
IDSC702	1-0-1	Global Capstone II
IDSC801	1-0-1	IDS Seminar I
IDSC802	1-0-1	IDS Seminar II

	First Semester	Second Semester		Third Semester	Fourth Semester
Basics	Programming for Data Science	Data Engineering
Methodologies	Machine Learning	Mathematics for Data Science	Bayesian Statistics for Data Science	Overseas Semester (12 Credits)
	Deep Learning	Deep Learning	Nonlinear Programming
	Discrete Optimization	Sparse Statistical Methods	Dynamic Simulation
	Time-Series Analysis	Dynamic Linear Programming	Process Mining
Application	Service Quality Engineering	Integrated Risk Management	Smart Systems and Data-driven Operations Science
	Manufacturing Intelligence	Practical Application of Data Science in Big Tech Companies	Corporate Valuation with Case study
	Smart Manufacturing	Dynamic Programming and Reinforcement Learning Applications
Research	Industrial Data Science SeminarI	Industrial Data Science SeminarII			Global Capstone II
Research		Global Capstone I			Master Dissertation Research

	First Semester	Second Semester	Third Semester	Fourth Semester
Basics		Data Engineering
Methodologies	Time-Series Analysis	Advanced Linear Programming	Overseas Semester (12 Credits)
	Discrete Optimization	Advanced Simulation
		Process Mining
Application	Service Quality Engineering	Practical Application of Data Science in Big Tech Companies
	Manufacturing Intelligence	Dynamic Programming and Reinforcement Learning Applications
	Smart Manufacturing	Smart Systems and Data-driven Operations Science
Research	Industrial Data Science SeminarI	Industrial Data Science SeminarII		Global Capstone
Research		Global Capstone I		Master Dissertation Research

	First Semester	Second Semester	Third Semester	Fourth Semester
Basics	Programming for Data Science	Data Engineering
Methodologies	Applied Stochastic Processes	Mathematics for Data Science	Overseas Semester (12 Credits)
	Machine Learning	Business Analytics
	Time-Series Analysis	Data Science for Bayesian Statistics
		Nonlinear Programming
Application		Integrated Risk Management
		Dynamic Programming and Reinforcement Learning Applications
		Corporate Valuation with Case study
Research	Industrial Data Science SeminarI	Industrial Data Science SeminarII		Global Capstone
Research		Global Capstone I		Master Dissertation Research

	First Semester	Second Semester	Third Semester	Fourth Semester
Basics	Programming for Data Science	Data Engineering
Methodologies	Applied Stochastic Processes	Mathematics for Data Science	Overseas Semester (12 Credits)
	Reinforcement Learning	Deep Learning
	Machine Learning	Optimization for Machine Learning
		Data Science for Bayesian Statistics
		Process Mining
Application		Dynamic Programming and Reinforcement Learning Applications
Research	Industrial Data Science SeminarI	Industrial Data Science SeminarII		Global Capstone
Research		Global Capstone I		Master Dissertation Research