Every day, a tremendous amount of information is created, modified, and stored digitally.
Companies are racing to utilize this information, now called “big data”, in hopes of future-proofing their business and making smarter decisions.
Our PSM Business Analytics (Biztics) degree is the first program of its kind in Korea.
Combining both education and training, it prepares students to become analysts and effective decision makers.
In Biztics, students learn professional analysis techniques and develop a mastery of statistics, data mining, and analysis programming. Supplemental courses on market analysis, management strategy, information management, and more are also available.
Additionally, UNIST leverages its strong relationships with overseas research institutes and scholars, creating new opportunities for education at the highest level.

Get informed, stay knowledgeable, and learn to interpret this rapidly changing market for success in corporate management.
Become a business analysis expert by joining the UNIST Business Analytics program.

  • BAT511Introduction to Data Mining

    Data mining is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems. The basic data mining techniques and their use in a business context will be addressed. Furthermore, an advanced topic in data mining (i.e. process mining) will also discussed in the class.

  • BAT512Advanced Data Mining with Artificial Intelligence

    Advanced data mining is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems. The Advanced data mining techniques and their use in a business context will be addressed.

  • BAT513Statistical Learning

    This course will provide students with analytical and decision making skills through a variety of topics in statistics and optimization modeling. Underlying theory for statistical analysis and its business applications will be emphasized. This helps students evaluate and handle business situations with statistics in mind. As a result, students will be well prepared to describe and analyze data for decision makings in business fields such as marketing, operations, and finance.

  • BAT515Analytics Programming

    This course teaches data analysis in Python and R, general-purpose languages that are easy enough to learn, fast enough to scale, and endowed with a wide range of powerful libraries that make data cleaning, visualization, and many common data analysis task.

  • BAT516Database Management

    This course is an introduction to database systems that manage very large amounts of data. One of the popular approaches in database management is relational model, which uses a two-dimensional table as its primary structure. The relational model underlies the major commercial database systems. We cover relational design using the ER (Entity-Relationship) model and UML (Unified Modeling Language), and SQL (Structured Query Language), the standard query language for relational databases, will be learned and experienced. Another focus of this course will be data preparation for further business analytics. It includes the use of SQL along with statistical and data mining tool (e.g., SAS) and multi-dimensional data extraction from data warehouse.

  • BAT517Time Series Analysis

    Student will learn basic Characteristics of financial data, how to build time series models, how to forecasting, and how to apply the models to real world problems. Topical areas include (1) Simple time-Series model; autoregressive (AR), moving-average (MA), ARIMA, seasonal, ARCH/GARCH models; and (2) an introduction to Multivariate Time-Series Analysis; VAR models and Cointegration. Additional forecasting examples maybe introduced.

  • BAT522Customer Analytics

    Customer analytics allow for ways to test new products, identifying customer needs, design promotion and advertising campaign and execute overall marketing strategy. Particular emphasis is placed on understanding of the core psychological processes of decision making by consumer, and customer’s environment for segmentation of markets.

  • BAT524Introduction to Business Analytics

    In this course, students will study how information is produced and managed in enterprises. Main topics discussed include: the principles of information management; information management technologies; techniques to analyze information needs and use; and the social and ethical context of information management.

  • BAT526~9Topics in Business Analytics I~III

    This course is designed to discuss contemporary issues in Business Analytics. Actual topics and cases will be selected by the instructor and may vary from term to term.

  • BAT531Multivariate Statistics

    This course provides students with an understanding of how to apply multivariate statistical methods in business. Emphasis is on developing a conceptual and practical understanding of how to apply these techniques. Most of the examples are from business; however, the information is applicable to any related discipline. This course is intended to provide the student with the following: · An introduction to the use of multivariate statistics in business research · A conceptual organization of the various multivariate techniques, with respect to the types of research questions and data sets appropriate for each technique · A “laypersons” working understanding of how to use and interpret the results of each technique, including, for each technique, a conceptual overview, list of assumptions, diagnostics for assessing the assumptions, sample size requirements, mechanics of performing the analysis, and how to interpret the statistical output of the analysis.

  • BAT532IT Stategy

    This course provides a series of strategic frameworks for managing high-technology businesses. The emphasis throughout the course is on the development and application of conceptual and empirical models which clarify the interactions between competition, patterns of technological and market change, and the structure and development of organizational capabilities. The readings are drawn from the information systems, marketing, management, and economics literature.

  • BAT541Social Data Analytics

    Social media provides marketers with a way to better understand their customers. Viewing consumers’ social media activity as the “voice of the consumer,” this course exposes students to the analytic methods that can be used to convert social media data to marketing insights.

  • BAT542Text Mining

    This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making. Detailed analysis of text data requires understanding of machine learning, natural language processing, and statistics., You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications.

  • BAT543Supply Chain Analytics

    This course introduces the primary methods and tools that you will encounter in your practice of supply chains. Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used by researchers and practitioners alike to better design and manage their supply chains.

  • BAT562Internship(Industry)

    By conducting an internship in an actual company or organization, students not only acquire hands-on experience but also apply their analytical capabilities to real-world situations.

  • BAT563Internship(Industry Education)

    This course is designed to deliver practical educations taught by professionals who are working on related industry. Students will learn live, practical and/or brand-new knowledges about ongoing problems in the related field.

  • BAT564Internship (Research)

    This course is designed to deliver practical educations taught by professionals who are working on related industry. Students will learn live, practical and/or brand-new knowledges about ongoing problems in the related field.

  • BAT571Advanced Quality Control

    Fundamental methods about anomaly and change detection in a process or an environment. Methods covered include the univariate and multivariate analysis for continuous and discrete data, risk adjustments, data pre-analyses (such as dimension reduction), and scan statistics. This course is designed for master’s students in the engineering and statistics fields to learn about the basic concepts and practical tools for performing anomaly and change detections. It will help doctoral students in both fields broaden their knowledge base and get exposed to new applications. But theoretical analysis is NOT the focus of this course.

  • BAT573Service Systems Engineering and Management

    Service systems in transportation, retail, healthcare, entertainment, hospitality, and other areas are configurations of people, information, organizations, and technologies that operate together for mutual benefit. One difficulty in engineering and managing complex service systems is the lack of data required to monitor and improve the system elements. However, with recent advances in sensing technologies, various kinds and massive amounts of data can be collected from the elements of the service system, such as people and physical objects. This advancement contributes to unlocking the limitations of engineering and managing service systems. In this course, we will learn and apply concepts and methods for engineering and management of service systems with various types of data. Through assignments and term project, the students will develop their own cases of service systems engineering and management.

  • BAT574Predictive Maintenance

    This course will cover the economic benefits of properly maintaining manufacturing equipment to minimize down time and capital cost of premature replacement, emphasizing techniques of predictive maintenance Students will learn how create maintenance plans, and predict and prevent system reliability issues before they occur.

  • BAT582Data Driven Credit Modeling and Management

    This course focuses on the practical challenges that arise in implementing a variety of credit risk models (e.g., default models and copula models) and introduces core principles and quantitative methodologies of financial risk management. We discuss a number of modeling frameworks for estimating default probabilities and default dependency. We also focus on various risk measures (e.g., Greeks, value-at-risk, and expected shortfall), which are used by traders and risk managers in financial institutions in practice. With a focus on data sets, we explore a number of data-driven approaches to implementing the risk measures and calibrating models. Finally, we discuss on other recent credit risk management issues such as CCP (Central counterparty), contingent capitals, and systemic risk under the new banking regulation

  • BAT583Financial Engineering with AI

    This course is for the student who is interested in implementing her/his idea on structuring financial products or making profit from given financial markets. General quantitative finance and introduction to AI strategies are going to be presented excluding mathematical proofs. Almost all explanation will be implemented with proper program languages for the practical uses during the class.

  • BAT585Financial Data Analysis with SAS

    This course will introduce students to many of financial data and how they are used in both real world and in the context of financial research. Financial data we deal with include the Trade and Quote (TAQ), center for research in security prices (CRSP), and Compustat. The course has twofold. On the first half of the semester, we will learn the basics of SAS program like how to create a SAS data set (DATA statements), how to get data into a SAS data set (INFILE/INPUT, SET, MERGE statements), how to create or modify variables (Assignment statements), how to conditionally execute statements (IF-THEN/ELSE statements), how to select specific observations (Subsetting IF statements), how to process a group of variables (ARRAY, DO-END statements) and how to use SAS macro for repetitive procedures. The second half of the course will focus on reading some of finance/accounting papers and replicate those techniques used in them. Time permitting, we will discuss some of empirical methods in finance/accounting research.

  • BAT591Business Analytics Practicum

    In this course, students will not only have a chance to hear from CEOs, but also learn analytics-related techniques, such as data visualization, presentation skills, and consulting skills.

  • BAT691Capstone Project

    In order for an opportunity to apply their learning to a real field, students must complete a Capstone Project in collaboration with a company, under the supervision of an appointed advisor. The project scope is decided by discussion with the advisor.

  • BAT891Independent Study

    Students perform an in-depth independent study under the guidance of a supervisor.

  • TIM504Marketing

    This course deals with the subjects needed to design and execute the best marketing effort required to perform asuccessful strategy in target markets. Students will learn concepts and analytical tools needed for major marketingdecisions through lectures, case discussions, case analysis, and presentation.

  • TIM505Principles of Finance & Accounting

    This is a joint course in financial management and accounting. It focuses on the basic concepts and useful methodology to understand the essential knowledge of finance and accounting.

  • TIM506Strategy

    This course is designed to address the theoretical and analytical tools relevant to the formulation and implementationof business/corporate strategy. Subjects covered in this course are: external/internal environment analysis, businessstrategy, corporate strategy, strategic processes, strategy execution, and competition in the high-tech industry. Thiscourse will utilize a variety of teaching methods that will help students to understand the practical application ofstrategic concepts.

  • TIM509Operations Management

    This course deals with ways to design and manage core manufacturing and service activities for a firm. Students learn the latest topics such as how to manage sourcing in a global environment and other major topics in management such as the movement of goods among suppliers, factories, and customers, production schedules, productive capacity adjustment, outsourcing/off-shore timing, and network management.

  • TIM610Advanced Analytics for Process Innovation

    In this course, students will learn how to visualize business processes inside and outside of the company, how to implement and control people and systems that are related to the performance of the task, and techniques to implement management systems that can efficiently manage and optimize the entire business. Real company cases will be analyzed by using Business Process Management Notation.

  • TIM611Big Data and New Product Development

    This course focuses on new product development using consumer and industrial big data. In particular, it deals with real-life domestic and international practices, including utilization of big data in the new product design, obtaining useful information about consumers from big data, and the improvement of existing products using big data.

  • TIM648Digital Marketing

    Digital has revolutionized the interactions between companies and customers using digital and online based technologies. Throughout this course, students learn how to create, communicate, deliver, and exchange market offerings to business partners and customers using online advertising, social media, and other digital tools.

  • Professional Science Master

    The Professional Science Master’s (PSM) degree is science-plus, combining rigorous study in science or mathematics, with the added real-world benefit of skills-based coursework in management, policy, or law. The PSM started in 1997, with only 14 programs available in America. Now, as of January 2018, more than 335 programs from 165 institutions are developed and utilized throughout America, Canada, Australia, and Asia. GSIM’s PSM programs provide a set of curricula relevant to business fundamentals, financial and organizational behavior with an emphasis on science, technology, and management. The Energy Commodity Trading and Financial Engineering (ECTFE) program and Business Analytics (Biztics) program at UNIST GSIM are the first approved PSM programs across all of Asia, including Korea.

    Affiliation Date Purpose
    SAS Korea 2013.04.16 Forum
    National Information Society Agency 2014.02.20 Training
    BICDATA Community 2014.04.25 Forum
    Korea Culture & Tourism Institute 2014.06.27 Competition
    Korea Bigdata Society 2014.09.18 Forum
    IT Conference 2014.10.07 Forum
    Ministry of Science and ICT 2014.11.07 Competition
    Korea Assembly Office 2014.12.17 Forum
    UN Global Pulse(MICT) 2015.06.24.~06.29 Competition
    Korea Culture & Tourism Institute 2015.08.28 Competition
    Ministry of Land, Infrastructure and Transport 2015.09.23 Competition
    Seoul National University 2015.10.13.~10.15 Forum
    Korea Meteorological Administration 2015.10.20 Competition
    Thomson Reuters 2015.10.21 Training
    Competition of Startup with Public Data 2015.10.29 Competition
    Competition of Startup with Public 2015.11.23 Competition
    The Knowledge Management Society of Korea 2014.11.28 Forum
    The Knowledge Management Society of Korea 2015.11.20.~11.21 Forum
    The Korea Association for Information Society 2016.11.04 Forum
    Ministry of Oceans and Fisheries 2017.06.01 Competition
    KAKAO Ltd 2017.06.09 Training
    University of Liechtenstein(ERCIS) 2014.01.24 Project joint
    University of Liechtenstein(ERCIS) 2016.02.21.~02.26 Training