Advanced Diploma in Business Information Management


Programme Introduction

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.

Modules

1. 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. 

Study Mode & Duration: 
Full-time: 9 months
Part-time: 9 months
 
Intakes
Jan / Apr / Jul / Oct
 
Registration
One month prior to intake dates
 
Average Teacher-Student Ratio

1:49 (Classroom-based delivery)

1:250 (Online*)

*With Covid-19 pandemic and travel / border restrictions, the courses may be conducted online and / or face-to-face hybrid mode. Classroom-based delivery of courses will resume when the travel / border restrictions are lifted.

 
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.
 

Graduation Requirement

• Must passed all modules

• Must achieve an overall attendance of 90% (International Student) and 75% (Local Student)

Minimum Age Requirement: 17 years (at the time of application)

Academic Requirement:
Relevant EAIM Diploma
or
Polytechnic Diploma
or
LCCI Diploma Level 4
or
Equivalent academic qualification from a recognized higher learning institution
AND
 
English Proficiency Requirement:
Minimum EAIM ETEDP Level 2 / IELTS 5.5 / GCE O-Level C6 (For mature students who do not meet the above minimum academic entry requirements but have prior learning or work experience in the relevant fields, please contact EAIM for consultation.)
Application Procedure
You may apply to EAIM either by visiting EAIM Balestier Campus
or
mail your application to East Asia Institute of Management,  9 Ah Hood Road, Singapore 329975
International students  
Full-Time  
Tuition Fees
S$ 10,800
Assessment Fee
S$ 1,400
Application Fee
S$ 540
Administration Fee
S$ 1,000
Material Fee
S$ 600
TOTAL
S$ 14,340
   
Singaporean / PR  
Full-Time/Part-Time  
Tuition Fees
S$ 6,600
Assessment Fees
S$ 800
Application Fee
S$ 150
Administration Fee
S$ 800
Material Fee
S$ 600
TOTAL
S$ 8,950
   
Medical Insurance Waived
FPS Insurance or Escrow Bank Charge Waived
Other miscelleneous fees may apply ( Please click here  for more information)  
   
Application and Enrolment Fee is non-refundable.
All prices are subject to prevailing Goods & Services Tax (GST) of 7%.
All prices are effective for intakes from Dec 2021.
Start of class is subjected to minimum class size achieved.
 
 
EAIM ADBIM COURSE SEQUENCE TABLE - APRIL 2022 INTAKE
2022 Term 1 2022 Term 2
IM2114 E-Commerce and Internet of Things IM2116 CyberSecurity
BM2120 Management Information Systems with FinTech Applications IM2113 System Analysis and Design
IM2115 Mobile Apps Programming
2022 Term 3 2022 Term 4
BM2021 Innovation and Entrepreneurship 2    
IM2090 Research Methods    
IM2117 Big Data Analytics    
+Image
+Image

Enquiry Form

EnquiryRS

Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input