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Advanced Diploma in Business Information Management

This course seeks to offer students further studies of Business Information Management built upon the foundation provided at the Diploma level.

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.
This course is self-accredited and articulated with 27 United Kingdom / New Zealand / Australia universities.

Delivery Method

Generally the curriculums 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
 2020 Quarter 1
6 Jan 2020 -  12 Apr 2020 
 2020 Quarter 2
13 Apr 2020 - 05 Jul 2020 
 2020 Quarter 3
6 Jul 2020 - 27 Sep 2020 
 2020 Quarter 4
28 Sep 2020 - 03 Jan 2021 
IM 2116 Cybersecurity  BM 2021 Innovation and Entrepreneurship 2  IM 2114 E-Commerce and Internet of Things  IM 2116 Cybersecurity 
IM 2113 System Analysis and Design  IM 2090 Research Methods BM 2120 Management Information Systems with FinTech Applications  IM 2113 System Analysis and Design 
    IM 2117 Big Data Analytics  IM 2115 Mobile Apps Programming     
 2021 Quarter 1
4 Jan 2021 -  11 Apr 2021 
 2021 Quarter 2
12 Apr 2021 - 04 Jul 2021 
 2021 Quarter 3
05 Jul 2021 - 26 Sep 2021 
 2021 Quarter 4
27 Sep 2021 - 02 Jan 2022 
BM 2021 Innovation and Entrepreneurship 2  IM 2114 E-Commerce and Internet of Things  IM 2116 Cybersecurity  BM 2021 Innovation and Entrepreneurship 2 
IM 2090 Research Methods BM 2120 Management Information Systems with FinTech Applications  IM 2113 System Analysis and Design  IM 2090 Research Methods
IM 2117 Big Data Analytics  IM 2115 Mobile Apps Programming      IM 2117 Big Data Analytics 
Progression Pathway
* Advanced Diploma in Business Information Management
* Progression to Bachelor Degree is subject to articulation arrangement / mapping
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. Management information Systems with FinTech Applications
    • This module provides students with an introduction to the various types of Information Systems (IS) especially Management Information System and how IS can be employed to support various business functions. At the end of this module, the student would have a gained a deeper understanding of what Business Analyst needs to deliver. This module also seeks to deliver a high-impact focus on advancing current FinTech and TechFin applications in a real-world application setting, and expect to dive into details from Peer-to-Peer(P2P) Lending platform to Payments platform and Cryptocurrencies. (88 words)
  • 2. Mobile Apps Programming
    • Mobile Apps Programming with Java is designed to increase the breadth and depth of knowledge and practical skills of students in the wireless field. This module is designed to extend the students understanding of programming principles particularly knowledge of Java data types, statements, branching, iteration, arrays and lists, designing classes, interfaces and polymorphism, inheritance, I/O and file streams, sorting and searching and advanced Graphical User Interface (GUI) design. Students will apply this knowledge and provide solutions to practical problems. (79 words)
  • 3. E-Commerce and Internet of Things (IoT)
    • This module provides students with the fundamental concepts of e-business and e-commerce. Students will acquire hands-on experience in the analysis, design, development, and implementation of e-business applications using the appropriate application tools. Apart from E-Commerce, you will be learning the benefits and the interaction between Internet of Things and E-Commerce, as well as, how IoT-enabled devices exchange data with each other through the internet, helping retail and e-commerce businesses to carry on their operations efficiently. Expect to pilot a practical IoT device for daily business use. (86 words)
  • 4. Cybersecurity
    • The demand for digital talent has been growing and more so for Cybersecurity talents. The increasing awareness of the risk posed by cyber-crime and espionage among organisation and individuals is fuelling the demand, as cyber threats become more sophisticated. With the alarming cases such as WannaCry ransomware & cryptoworm, governments have stepped up their cybersecurity measure in light of plausible vulnerabilities. This module covers Networking, Exploitation Programming, Wireless Security, Advanced Information and Network Security, and Other key Network Security aspects. (79 words)
  • 5. Big Data Analytics
    • This module aims to provide students with an introduction to HDFS, MapReduce, Yarn, and Spark. Students will be able to learn how to set up Hadoop development, working with the file system, setting up your Hadoop development environment, working with the Hadoop file system, running and tracking Hadoop jobs, tuning MapReduce, understanding Hive and HBase, exploring Pig tools, building workflows, using other libraries, such as Impala, Mahout, and Storm, understanding Spark, visualizing Hadoop output. Students will apply this knowledge and provide solutions to practical problems. (85 words)
  • 6. Innovation & Entrepreneurship II
    • Furthering from Innovation and Entrepreneurship I , this module looks into 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. An insight of the process reveals more than how innovation is carried out in a systematical structure, it leads to the concept of social entrepreneurship to support the idea of environmental sustainability and challenges. (78 words)
  • 7. Research Methods
    • This module introduces students to the core concepts, methods, and values involved in doing research, from formulating research questions, reviewing the literature, designing questionnaires, to carrying out data analysis and presenting research results. The strengths and weaknesses of research methods are examined to help students choose an appropriate methodology, and the wide philosophical issues and ethical controversies that affect research are discussed. It also examines the distinction between quantitative and qualitative research techniques and how and when they should be used. (81 words)
  • 8. Systems Analysis & Design
    • Systems Analysis & Design is an introductory module and it covers the key concepts of analysing and designing object-oriented systems. Students will be taught Unified Modelling Language or UML, the current industry standard used in the design of computer based systems, especially the various diagramming concepts of UML. In addition to UML, the fundamentals of software project management as well as contemporary issues relating to software project management will be discussed in this module. (74 words)
 

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Our Campus

9 Ah Hood Road
Singapore 329975
Tel: (65) 6252 5500
Email: enquiries@easb.edu.sg

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Monday - Friday
9:00 am - 6:00 pm
Saturday
9:00 am - 1:00 pm
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