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Graduate Diploma in Business Analytics (Part-Time)

½¿É«µ¼º½ Global Education

Programme Overview

Academic Level
Academic Level

Postgraduate/Masters, single major

Awarded by
Awarded by

Singapore Institute of Management, Singapore

Programme type
Programme type

Part-time, 6 Months

Campus location
Campus location

½¿É«µ¼º½ Campus

Application Dates
Application Dates

1 November 2024 till 20 January 2025

Estimated Fees (incl. GST)
Estimated Fees

(incl. GST)*

S$6,147.60

* Exclude application fee, preparatory or bridging course fee, and other fees. Refer to the Fees & Financial Aid section for details.

Programme Outline

Developed and Awarded by Singapore Institute of Management, Singapore

As Singapore progresses towards building a digital economy in a Smart Nation, Infocomm Technology (ICT) will be a key driver in transforming work processes through a highly skilled and specialised workforce, leading to demand for more technical IT specialists, in areas such as IT Development, Data Analytics and Cyber Security.

Thus, this is an opportune time for ½¿É«µ¼º½ GE to provide conceptual, skills-based, and practical learning in the emerging field of business analytics through the Graduate Certificate.

learning-outcome

Learning Outcomes

Upon successful completion of this programme, you will be able to:

  1. Recognise, understand, and apply the concepts and methods of business analytics
  2. Identify, model, and solve business problems in different settings using appropriate analytics techniques and tools
  3. Statistically analyse data, develop, and analyse predictive models, and optimise business processes
  1. Communicate the results of the analysis using appropriate data visualisation techniques
  2. Apply data analytics techniques to mine data and select and use appropriate business intelligence and data mining applications to support business objectives

Further Studies & Career Prospects

With the Graduate Diploma in Business Analytics, you can apply to :
Singapore University of Social Sciences (SUSS):
  • Master of Management
  • Master of Analytics and Visualisation
  • Master of Human Capital Management

Entitled of 10 units of Credit Recognition with CGPA 2.4 and above, and meeting instituition's admission requirements

University of Wollongong (UOW):
  • Master of Computing (Data Analytics)
​​​​​​Graduates of this programme will be able to pursue a wide range of career opportunities as:
  • IT Business Analyst
  • Data Analyst
  • Market Research Analyst
  • Data Mining Specialist
  • Web Analyst
  • IT Sales/Marketing Executive
  • IT Consulting/Management Executive

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Why study at ½¿É«µ¼º½

simge-leading-pvt-ins

½¿É«µ¼º½ is the leading private education institution in Singapore.

simge-excellent-value

Excellent value with lower tuition costs in ½¿É«µ¼º½, with opportunities for overseas exchange and transfer.

simge-bond-free

Bond-Free Scholarship & Bursary - Scholarships are available to students who excel in academics, sports or arts.

simge-global-perspectives

Global Perspectives & Insights - Exposure to diverse cultures and a global network.

Learn more about the ½¿É«µ¼º½ Advantage

Intake Dates

There will be six intakes 1 year, in January, March, May, July, September, November

January 2025 intake

PROGRAMME DURATION

1 January 2025 - 30 June 2025

APPLICATION PERIOD

1 August 2024 till 29 October 2024

March 2025 intake

PROGRAMME DURATION

1 March 2025 - 31 August 2025

APPLICATION PERIOD

1 November 2024 till 20 January 2025

May 2025 intake

PROGRAMME DURATION

01 May 2025  - 31 October 2025

APPLICATION PERIOD

1 January 2025 till 21 March 2025

July 2025 Intake

PROGRAMME DURATION

01 July 2025 - 31 December 2025

APPLICATION PERIOD

1 March 2025 – 20 May 2025

September 2025 intake

PROGRAMME DURATION

01 September 2025 - 28 February 2026

APPLICATION PERIOD

1 May 2025 – 21 July 2025

November 2025 intake

PROGRAMME DURATION

1 November 2025 - 30 April 2026

APPLICATION PERIOD

1 July 2025 – 20 September 2025

Download academic calendar

Maximum allowed period to complete: 1 years.

No refund or recourse should the student fail to complete in the maximum period.

½¿É«µ¼º½ reserves the right to recommend and withdraw a student who cannot cope with the demands of the programme.

Curriculum

Structure

  • Blended learning is an approach to education that combines online lesson delivery and interaction with traditional face-to-face (F2F) classroom learning. It requires the physical presence of both the teacher and student, with some elements of student control over time, place, path, or pace. While students still attend physical lessons with a teacher, the lesson delivery is combined with computer-mediated activities for students to do more independent learning with guidance. 
  • Approximately 50% of teaching will be conducted F2F (6 lessons of physical interaction), and the other 50% conducted via synchronous online teaching (7 lessons of online interaction per module).
  • Coursework includes attendance at lectures, e-learning, discussions of case studies and interactive presentations, tests and completion of the group and individually written assignments.
  • Contact hours: 39 hours per module, total 234 hours
  • 3 semesters. Each semester is a period of two months.
  • Lectures at least 4 times a week (Mon-Fri evenings & Sat 2 sessions)
  • Each lesson: 3 hours
  • Additional classes and workshops provided to teach study skills, academic writing and presentation.
  • Academic materials include module outlines, reading lists and handbooks on study strategies.
  • Minimum class size: 25 students. Students will be informed within 30 days before class commences.

Assessment & Attendance

  • Continuous assessment throughout the programme, e.g., individual assignment, group project, case study, quiz/class test, presentations, and class participation.
  • In addition to continuous assessments, students are required to take a test or an exam for all modules.
  • To attain a pass for each module, students must achieve overall minimum GPA of 1.0 (grade D).
  • This is an intensive programme. All students are encouraged to attain a minimum attendance rate of 75%.

Requirements to Graduate

Students who pass all modules will be issued a transcript and awarded with a Graduate Diploma from ½¿É«µ¼º½ upon graduation.

Modules

6-month programme (3 terms) of 6 modules:

  • Business Analytics Concepts, Principles and Applications
  • Customer Relationship Management
  • Data Mining for Managers
  • Data Visualisation
  • Predictive Modelling
  • Python for Data Analysis

View module descriptions

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Admission Criteria

Accepted Entry Qualifications

The following qualifications are accepted:

  • A degree from a recognised university; or 
  • Candidates (30 years old and above) who are Diploma holders or hold equivalent qualifications with a minimum of 8 years of working experience.

English Language Requirements

Applicants whose academic qualifications are not attained in the English medium are required to demonstrate proficiency in English in one of the following minimum test scores:

  • Paper-based TOEFL 570
  • Internet-based TOEFL 88  
  • IELTS 6.0

Note: TOEFL or IELTS test scores must be less than 2 years at point of enrolment.

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Fees & Financial Aid 

Programme fees are payable over 3 semesters before class starts.

Payment to ½¿É«µ¼º½ can be made through ½¿É«µ¼º½Connect using Credit Card (Visa or Master), PayNow, eNETS, OCBC Interest-free Instalment Plan (min. S$500) and cheques.
 

Programme Fees 

All fees inclusive of prevailing GST. The course fee does not include textbooks.

•    Total: S$6,147.60
•    Per module: S$1,024.60

GST Notes
Fees published are inclusive of current GST of 9%.

Mandatory Fees 

All fees inclusive of prevailing GST.
 

Application Fee: S$109.00

Payable for each application form that is submitted. Fee is non-refundable and non-transferable. The fee will be refunded fully only if the intake does not commence. Unpaid applications will not be processed.

International students will not be eligible for a Student’s Pass Visa.