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Diploma in Business Information Management

The Diploma in Business Information Management programme offers students an appreciation of the inter-relationship of processes in the business information industry. This diploma also introduces fundamental concepts in Business Information Management that are widely used.

Programme Objective

To provide a comprehensive and balanced programme of business and computing knowledge and skills required for business in the information age.
To develop well educated and skilled people who understand the managerial and strategic issues associated with implementing information systems.
To provide a relevant and flexible study in the field of Business Information Management.
To provide students with the ability to synthesise knowledge, understanding and practical skills in a vocational context.

Delivery Method

Generally the curriculum for all levels are taught over 4 terms of 12 weeks. Modules are conducted in formal instructor-led classroom sessions where students are introduced to the course discipline. Each term will cover 2-3 modules with 54 contact hours per module. Lectures are 3-hour sessions and Tutorial 3-hour sessions weekly

Delivery Schedule
 2019 Quarter 1
7 Jan 2019 -  5 Apr 2019 		  2019 Quarter 2
15 Apr 2019 - 28 Jun 2019 		  2019 Quarter 3
8 Jul 2019 - 20 Sep 2019 		  2019 Quarter 4
30 Sep 2019 - 27 Dec 2019 
IM 1040 Principles of Management  IM 1060 Business Statistics IM 1023 Introduction to Software Development IM 1040 Principles of Management 
IM 1050  Principles of Information System  IM 1210 Financial Accounting I IM 1063 Web Application Programming with PHP IM 1050  Principles of Information System 
IM 1073 Database Management 　 　 IM 1080 Principles of Marketing IM 1073 Database Management
Progression Pathway
BSc (Hons) Business Information Systems
Advanced Diploma in Business Information Management
Diploma in Business Information Management
Mode & Duration
Full-time: 9 mths
Part-time: 9 mths
Intakes
Jan / Apr / Jul / Sep

Registration

One Month Prior to Intake Dates
Average Teacher-Student Ratio
1:30
Assessment
Each module is assessed by academic work comprising written assignments, case study reports, essays, examination as determined by the subject profile. The assessment criterion varies from module to module and level to level.
Modules
  • 1. Financial Accounting I
    • This module covers key knowledge and understanding of accounting principles and concepts including the preparation of accounting entries for non-current assets; advanced bookkeeping; journals for correction of errors and year-end adjustments; trial balance and financial accounts. In addition, the module aims to develop learners’ ability to manage a selection of computerised accounting systems to provide management information. Software such as AutoCount will be taught. Students will be exposed to AP AR GL CB COA TB POS modules. Key areas such as setting up initial data, entering transactions, making end of period adjustments, amending chart of accounts, producing and analysing end period reports will be covered. This qualification is suitable for those working or intending to work in advanced accounting roles.
  • 2. Digital Marketing
    • The objective of this module is to provide the understanding of the concepts of digital marketing. Scope coverage includes; understanding digital marketing; digital information, media, channels and devices; digital marketing and the marketing mix; integrating the traditional 4Ps of marketing mix strategy into the digital platform; digital marketing analytics; challenges and legal and ethical considerations in digital marketing such as cybersecurity and data protection and intellectual property. (67 words)
  • 3. Innovation & Entrepreneurship I
    • The objective of this module is to provide the understanding of the concepts of innovation and entrepreneurship and its macro-environment. The topics cover the arena of entrepreneurial goals and context; recognizing market opportunities; sourcing for factors of production and resources; developing sustainable venture; value creation; social entrepreneurship, innovation within the value chain of an organization; ownership and structure; innovators in action: managing rapid growth, managing a troubled organisation, and crafting a personal strategy.
  • 4. Full Stack Web Development
    • This module aims to provide students with an introduction to Front-End such as HTML, CSS, JavaScript, Responsive Design and Back-End such as React, Angular, Vue and Node.js. In addition,students will learn about the database and server basics for the back-end side, as well as, figuring out Git and deployment tools. This allows student learn how to build REST services, API design,Automated UI acceptance, client and server side, write clean and modular code with CSS, and be proficient with Linux and diagnosing problems at various level from Client to OS.
  • 5. Principles of Management
    • This module introduces students to key challenges faced by managers in the new millennium. Learning includes the study of management concepts, management processes, and managerial roles in organization; classical, behavioural and contemporary viewpoints in management; organizational culture and social responsibility and ethics in management; planning and managerial decision making; organizing and organizational structure and design; leading, managing individuals and groups, motivation, leadership, employment relations and managerial control and control methods.
  • 6. Introduction to Artificial Intelligence
    • With the likes of Apple Siri and Amazon Alexa, many MNCs and SMEs have reacted to the hype by adjusting its business inclination towards an Artificial Intelligence approach as part of their drive towards efficiency. This Module covers the aspects of Artificial Intelligence with the introductory course from Neural Networks and NLP to the primer course having a plethora of Machine Learning Algorithms. At the end of this module, students would expect to build AI Recognition application and be equipped with relevant AI knowledge for a promising career ahead. (89 words)
  • 7. Python Fundamentals for Data Science
    • This module aims to provide students with an introduction to Major Python data types such as List, Tuple, Dictionary and Set, Conditional and loops, Generating sequences using comprehension and generators, Functions, Lambda, Map and Filter, Import modules and packages, and install third-party Python packages, Objected Oriented Programming in Python Using classes and inheritance, Database operations, File Input and output, Handling errors with exceptions, and Introduction to Numpy, Matplotlib and Pandas. Students will apply this knowledge and provide solutions to practical problems.
  • 8. Introduction to Software Development
    • This module aims to provide students with an introduction to programming and related problem-solving skills. It also teaches students fundamental programming constructs, its grouping towards comprising a program, program structure, and communication between various segments of the program. Students will be introduced the fundamentals of object oriented programming skills and object-oriented programming concepts. Students will learn how to implement these concepts using various programming languages. It will also cover program testing, debugging, and a number of program design tools and techniques used to express the solutions needed to solve impending problems.
 
Details
Last Updated: 05 September 2019

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