Not published
Not published
Not published
This course is designed to equip student with the requisite competencies for designing, implementing and assessing training and development interventions. It is also designed to help students apply those competencies in the businesses and markets that they will manage after the programme. The course is based on the premise that the accumulation of human capital and its investment are integral in correcting the deficiencies in the performance of firms and their members. The student will be introduced to core areas such the HRD theory, competency studies by the ASTD, major models of HRD, training and development, career development, leadership and organisational development, change management development and succession planning.
The aim of this course is to provide students with a comprehensive exploration of essential human resource management concept and techniques that are needed in an ever changing and competitive environment. The course is designed to equip students with general skills in the major functional areas including employee recruitment and selections, training and development, performance management, compensation and industrial relations. The course also emphasises a strategic approach to managing employees in a cross border cooperation.
The course is aimed at improving students’ competency and fluency in using English for their academic pursuits. In the first semester, the course concentrates on reading and note-making skills as aids to learning
The course exposes students to contemporary quantitative analysis tools and techniques used in business research. Students learn how to design quantitative data instruments, cleaning and processing quantitative data.
The objective of this course is to introduce participants to the techniques for analysing qualitative data. This course equips students with principles and practice of qualitative inquiry. Emphasis is on qualitative acquisition, processing and frameworks for interpreting qualitative data.
The course deals with the use of mathematical and statistical tools needed for business decisions. It exposes students to the computation, explanation and use of financial and other numerical data in financial decisions. The course makes use of computer spreadsheets in performing statistical analysis such as confidence interval, hypothesis testing, experimental design and analysis of variance, and regression analysis to aid business decision-making. Students are introduced to various types of software such as Microsoft Excel, Stata and EViews.
The course exposes students to advance research methods as it pertains to business and social sciences, economics and management in general. The course introduces the language of research, ethical principles and challenges, and the elements of the research process within quantitative, qualitative, and mixed methods approaches. It equips students with skills to develop and carry out their own scientific research relevant to their field or interests and determine how research findings are useful in informing their understanding of their environment.