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커리큘럼1
Analytics Foundations Analytics Applications Business Foundations Practicum Foundations
- Introduction to Data Mining
- Advanced Tech for Data Mining
- Advanced Statistics
- Analytics Programming
- Database Management
- Customer Analytics
- Business Modeling
- Operation Research
- Topics in Business Analytics 
- Strategic Management
- Market Analytics
- Information Management  
- Business Analytics Practicum
- Capstone Project   

추천 이수 코스

커리큘럼2
  1st Semester Summer Session 2nd Semester
1st year Introduction to Data Mining Business Modeling and Decision Making Information Management
Advanced Statistics Business Analytics Practicum Marketing Research
Analytics Programing   Topics in Business Analytics: Technology Strategy
Analytics Management Advanced Data Mining
Database Management Decision Making in Strategic
Business Analytics Practicum Business Practicum
2nd year Customer Analytics    Capstone Project
PBM & Process Mining  
Capstone Project

교과목설명

BAT501 Analytics Management
This course is to help a student to understand what business analytics is about, how it can help managers to make better decisions and an organization perform better, and what kind of capabilities need to be addressed for an organization to be analytical. It also describes 5 success factors (data, enterprise, leadership, targets, and analysts) for analytical capability and the best way to strengthen them.
BAT511 Introduction 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.
BAT512 Advanced Techniques for Data Mining
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.
BAT513 Advanced Statistics
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.
BAT514 Business Modeling and Decision Making
This course will enable students to build deterministic and probabilistic models of business problems that lead to making better managerial decisions. Students will acquire the necessary skills to analyze complex business situations, develop mathematical models of those situations, explore and prioritize alternative solutions through formalized approaches, and do “what if?”sensitivity analysis to gain insight into why the chosen solution makes business sense. Among the topics covered will be linear and integer programming, dynamic programming, non-linear optimization, Monte Carlo simulation, decision analysis and utility theory, and multi-criteria decision making.
BAT515 Analytics Programming
This course aims to teach students programming techniques for managing, and summarizing data, and reporting results.
BAT516 Database 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.
BAT517 BPM and Process Mining
BPM/Process Mining course focuses on so-called "process-aware" information systems. The first part of the course focuses on the modeling and implementation of BPM (Business Process Management). Different languages and systems are presented. Emphasis is on the control-flow and resource perspective. The second part of the course focuses on the analysis of workflows/business processes. Different types of analysis such as business process simulation, workflow verification, etc. will be considered. Furthermore, this course teaches students the theoretical foundations of process mining and exposes students to real-life data sets to understand challenges related to process discovery, conformance checking, and model extension.
BAT521 Marketing Research
While the course provides insight into how to actually conduct research, its focus is on providing the needed background knowledge for future managers who will be the ultimate users of the data, and who will determine the scope and direction of research conducted. Market analytics is a particularly valuable skill set for students planning careers in consulting, marketing, or as entrepreneurs, and is a fundamental function in industries like consumer packaged goods, financial services, pharmaceuticals and retail management.
BAT522 Customer 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.
BAT523 Decision Making in Strategic Management
Firms’ allocation of funds, resources, and time for competitive advantage should be aligned with their strategy. This course focuses on analytic methods for strategic decision making. At different levels of strategic management, various analytic methods will be introduced with examples and case studies. This course also covers basic contents of strategic management to help students understand the analytic methods.
BAT524 Information Management
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.
BAT525 Management Science
This course develops fundamental knowledge and skills for applying advanced analytical methods to help make better decisions. By using techniques such as mathematical modeling to analyze complex situations, students will learn how to make more effective decision and build more productive systems based on the intelligent use of data. Topics include optimization, statistics, forecasting, and probabilistic analysis.
BAT526 Topics in Business Analytics
This course will provide students with an opportunity to study how Business Analytics knowledge and techniques are applied in various fields. Possible topics include: Financial Analytics, Web Analytics, Healthcare Analytics, Text Mining, Social Analytics, and so on.
BAT551 Business 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.
BAT561 Capstone 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.