THIS COURSE IS DESIGNED FOR STUDENTS TO APPLY ANALYTICAL SKILLS IN BUSINESS PROBLEMS IN THE GLOBAL BUSINESS ENVIRONMENT. THE COURSE PROVIDES AN OPPORTUNITY FOR STUDENTS TO LEVERAGE DATA ANALYTICS IN ANALYSING BUSINESS PROBLEMS AND RECOMMEND A FEASIBLE BUSINESS SOLUTION. IN THIS COURSE, STUDENTS CAN CHOOSE ONE OF THE OPTIONS; FIRST, USE THE REAL DATASET FROM INDUSTRY OR SIMULATED DATASET FROM THE WEBSITE AND SECOND, COLLABORATE WITH ANALYTICS TEAMS IN ORGANIZATIONS TO OBTAIN SMALL ANALYTICS PROJECTS AND SOLVE REAL-LIFE CASES. AT THE END OF THIS COURSE, STUDENTS WILL BE ABLE TO CONDUCT ANALYTICS LAB PROJECTS BASED ON THEIR AREA OF INTEREST AND MAKE BETTER BUSINESS DECISIONS.
- Lecturer: PROFESOR MADYA TS. DR. KHAW KHAI WAH
Skill Level: Beginner
THIS COURSE PROVIDES STUDENTS WITH BASIC CONCEPTS AND THE PROCESS OF CONDUCTING RESEARCH INCLUDING VARIOUS RESEARCH METHODS AND DESIGNS. STUDENTS WILL ACQUIRE THE KNOWLEDGE AND SKILLSETS TO UNDERTAKE ORIGINAL RESEARCH WITH GOOD ETHICAL RESEARCH PRACTICES.
- Lecturer: PROFESOR RAMAYAH A/L THURASAMY
Skill Level: Beginner
THIS COURSE AIMS AT PROVIDING THE STUDENTS WITH BOTH THE GENERAL PROGRAMMING CONCEPTS AS WELL AS HANDS-ON SESSIONS ON PRACTICAL KNOWLEDGE IN PYTHON OR R FOR BUSINESS AND MANAGEMENT APPLICATIONS. IT EQUIPS THE STUDENTS WITH SKILLS TO DESIGN AND WRITE ALGORITHMS, AS WELL AS TO USE THE AVAILABLE PYTHON OR R PACKAGES, FOR DECISION MAKING TO SOLVE BUSINESS AND MANAGEMENT PROBLEMS. THE COURSE ALSO EXPLAINS THE PREDICTIVE MODELLING TECHNIQUES AND THEIR CORE PRINCIPLES, WHEREBY STUDENTS WILL LEARN A SOLID FOUNDATION OF PREDICTIVE ANALYTICS, WHICH REFERS TO TOOLS AND TECHNIQUES FOR BUILDING STATISTICAL OR MACHINE LEARNING MODELS TO MAKE PREDICTIONS BASED ON THE BUSINESS DATASETS. THE TECHNIQUES DISCUSSED ARE APPLIED IN ALL FUNCTIONAL AREAS WITHIN BUSINESS ORGANIZATIONS INCLUDING TALENT MANAGEMENT, FINANCE, INTERNATIONAL BUSINESS, ACCOUNTING, MARKETING AND OPERATIONS MANAGEMENT. STUDENTS WILL BE ABLE TO DETERMINE WHAT KINDS OF PREDICTIONS THEY CAN MAKE TO CREATE FUTURE STRATEGIES AND BE PREPARED TO TAKE FULL ADVANTAGE OF ANALYTICS TO CREATE EFFECTIVE DATA-DRIVEN BUSINESS DECISIONS.
- Lecturer: PROFESOR MADYA TS. DR. KHAW KHAI WAH
Skill Level: Beginner
THIS COURSE EXPLAINS THE SCIENTIFIC PROCESS OF TRANSFORMING DATA INTO INSIGHTS FOR ANALYTICS-DRIVEN BUSINESS DECISION MAKING. IT COVERS THE METHODOLOGIES, ISSUES, AND CHALLENGES RELATED TO ANALYSING BUSINESS DATA.IT PREPARESSTUDENTS TO UNDERSTAND BUSINESS ANALYTICS AND BECOME LEADERS IN THESE AREAS. STUDENTS WILL LEARN TO APPLY ANALYTICAL TOOLS, ALGORITHMS AND METHODOLOGIES TO SOLVE BUSINESS PROBLEMS. STUDENTS WILL ALSO GO DEEPER INTO ADVANCED INVESTIGATIVE AND COMPUTATIONAL METHODS FOR DEVELOPING THEIR PERSONAL ANALYTICAL SKILLS AND PERSPECTIVES. RAPIDMINER OR OTHER POTENTIAL ANALYTICAL TOOLS WILL BE USED WHENEVER APPLICABLE BASED ON SIMULATED
BUSINESS EXAMPLES.
BUSINESS EXAMPLES.
- Lecturer: DR. AISYAH BINTI ISMAIL
- Lecturer: DR. NG WEI CHIEN
- Lecturer: PROFESOR MADYA DR. TEH SIN YIN
Skill Level: Beginner
THE DIGITAL TECHNOLOGIES OF WEB AND SOCIAL MEDIA APPLICATIONS HAVE FUNDAMENTALLY RESHAPED MARKETING THEORY AND PRACTICE OVER THE LAST DECADE AND HAVE LED TO A DRASTIC SHIFT IN THE QUALITY AND QUANTITY OF INFORMATION WE ARE ABLE TO CAPTURE, STORE AND ANALYSE. WITH THIS PROLIFERATION OF DATA HAS COME AN INCREASING NEED FOR MANY BUSINESSES TO BETTER UNDERSTAND AND REACT TO VARIOUS CUSTOMER CHARACTERISTICS. THIS COURSE IS DESIGNED TO PROVIDE THE SKILLS AND TOOLS NEEDED FOR STUDENTS TO RECOGNIZE THE ROLE OF WEB AND SOCIAL MEDIA ANALYTICS WITHIN THE DIGITAL MARKETING LANDSCAPE.
Skill Level: Beginner
THIS COURSE WILL INTRODUCE STUDENTS TO THE TOOLS AND TECHNIQUES BEHIND A SYSTEMATIC AND ANALYTICAL APPROACH TO MARKETING DECISION-MAKING. STUDENTS WILL BE EXPOSED TO THE ANALYTIC CHALLENGES FACED IN MARKETING AND INTRODUCED TO FOUR FUNDAMENTAL MARKETING STRATEGY PRINCIPLES THAT CAN HELP ADDRESS THE CHALLENGES. STUDENTS WILL DEVELOP ANALYTIC COMPETENCIES PERTAINING TO THE FOUR PRINCIPLES BY LEARNING HOW TO MEASURE CUSTOMER PREFERENCES, ESTABLISH DIFFERENT WAYS FOR MARKET SEGMENTATION, IDENTIFY POTENTIAL OR ATTRACTIVE CUSTOMERS TO TARGET, DETERMINE THE BEST POSITIONING FOR A BRAND AND DEVELOPING NEW PRODUCTS THAT ADD VALUE THROUGH TECHNIQUES LIKE CONJOINT ANALYSIS, CLUSTER ANALYSIS, POSITIONING MAPS, LOGISTIC REGRESSION, RESPONSE AND CHOICE MODELS. DATA ANALYSIS WILL BE CARRIED OUT VIA MARKETING ENGINEERING (MEXL) ANALYTIC TOOL, WHICH IS AN ADD-ON TO EXCEL.
- Lecturer: DR. JASMINE YEAP AI LEEN
Skill Level: Beginner
THE FOURTH INDUSTRIAL REVOLUTION REQUIRES THE INTEGRATION OF INTERDISCIPLINARY KNOWLEDGE. THIS COURSE FULFILS THE NEEDS OF BUSINESSES TO ANALYSE READY-DATA FROM ACCOUNTING AND FINANCE. A FUTURE COMPANY NEEDS TO GENERATE ESSENTIAL INFORMATION FROM ACCOUNTING AND FINANCIAL DATA AND LINKED UP THIS INFORMATION WITH THE COMPANYS EXTERNAL INFORMATION LIKE THOSE FROM SOCIAL MEDIA, DEMOGRAPHIC AND MACRO-ECONOMY. FOR THIS PURPOSE, BESIDES SOLID KNOWLEDGE IN ACCOUNTING AND FINANCE, PRACTICAL KNOWLEDGE TO HANDLE DATA WITH SOPHISTICATED TOOLS AND SOFTWARE IS ALSO NEEDED TO ENSURE THAT STUDENTS ARE ABLE TO UNDERSTAND THE RELATIONSHIPS IN THE UNPRECEDENTED AMOUNT OF DATA FLOWING INTO THE ORGANIZATIONS.
- Lecturer: DR. LOK CHAR LEE
- Lecturer: PROFESOR DR. HOOY CHEE WOOI
Skill Level: Beginner
THIS COURSE AIMS TO PROVIDE STUDENTS WITH IMPORTANT MANAGEMENT THEORIES, CONCEPTS AND TECHNIQUES IN THE CONTEXT OF MANAGEMENT RESEARCH. IT WILL EXPOSE STUDENTS TO THE BASICS OF EACH LEVEL OF ANALYTICAL DATA. STUDENTS WILL ALSO BE EXPOSED TO THE LATEST ENVIRONMENTAL CHANGES AND MANAGEMENT TECHNIQUES IN THE CONTEXT OF REAL WORK SITUATIONS.
Skill Level: Beginner
