OVERVIEW

The National University of Singapore (NUS) Bachelor of Technology (Business Analytics) programme is offered in partnership with the NUS School of Computing.

It is designed to equip graduates with a strong knowledge of data analytics foundations and fundamentals; the ability to work effectively in a team to accomplish common goals; an understanding of professional, ethical, legal, security and social issues and responsibilities; as well as the ability to analyse the local and global impact of data analytics on individuals, organisations and society.

ADMISSION REQUIREMENTS

Admission to the NUS BTech programme is granted on a competitive basis as places in the programme are limited. Applicants should possess the following minimum requirements:

Academic Polytechnic Diploma, or an equivalent qualification

Note: Holders of two-and-a-half-year part-time local diplomas may apply only after successfully completing their local diploma, and are required to complete a Mathematics Bridging Course and pass a Mathematics Test.

Skill/Experience
  • Two years of full-time work experience; or
  • Currently employed on a full-time basis with at least one year of full-time work experience; or
  • Fully discharged National Service (NS) liability with at least one year of full-time work experience

Note: Part-time employment will not be considered as full-time work experience. A part-time employee is one who works for less than 35 hours a week, under contract of service with an employer.

Other

Be at least 21 years of age

Applicants are encouraged to submit along with their application the following documentation (where applicable):

  • Evidence of additional post-diploma/post-degree academic preparation, including advanced diploma and specialist diploma studies
  • Availability of company sponsorship

Applicants may be required by the Admission Committee to complete a Mathematics Bridging Course and pass a Mathematics Test.


Note: Singapore Citizens (SCs) and Singapore Permanent Residents (SPRs) who have fully discharged their full-time NS liability may be granted exemption from the age requirement if they are:

  • Sponsored by their company for the part-time undergraduate degree programme; or
  • Currently employed in a job role/sector related to the part-time undergraduate degree programme.

Such applicants must submit relevant supporting documents(s) along with their admission application for assessment. NUS reserves the right to determine if exemption will be granted, and the University's decision will be final and binding.

MODE OF STUDY AND PROGRAMME CANDIDATURE

The NUS BTech programme is offered on the following basis (with estimated time to complete the programme indicated in brackets):

  • Part-time (typically four years)

The period of candidature is minimum two-and-half years and maximum six years.

Note: Students will be deemed to have progressed to the next stage of study if they have obtained at least the number of MCs, including exemptions, as stated below:

  • To move to Stage 2 (Year 2): 32 MCs
  • To move to Stage 3 (Year 3): 64 MCs
  • To move to Stage 4 (Year 4): 108 MCs

PROGRAMME STRUCTURE

The NUS BTech (Business Analytics) is a 160-modular credit (MC) undergraduate degree programme comprising: 

University-level Requirements for General Education

Students must complete 24 MCs, comprising one General Education Module (GEM) from each of the pillars in the following list.

View Modules

GEM Code Prefix Pillar MCs
GEC Culture and Connections 4
GEX
Critique and Expressions 4
GES
Singapore Studies 4
GEA
Data Literacy 4
GEI*
Digital Literacy 4
GEN
Communities and Engagement 4

* Note: TIC2001 is double-counted towards both the respective Major Requirements and the Digital Literacy (GEI) pillar.

Programme Requirements

Students must complete 112 MCs, comprising:

  • Major requirements (92 MCs), and
  • Elective modules (20 MCs)

View Modules

Major Requirements – Essential Modules (92 MCs)
Computing Foundations
Module Code Module Title MCs
TBA2103 Data Visualisation 4
TBA2105 Web Mining 4
TIC1001
Introduction to Computing and Programming I
4
TIC1002
Introduction to Computing and Programming II
4
TIC1101  Professional, Ethical and Social Issues in Computing
4
TIC2001*
Data Structures and Algorithms
4
TIC2003
Software Development Project
4
TIC2601
Database and Web Applications
4
TIC2901
Communication for Computing Professionals
4
TIC3901
Industrial Practice
12
Business Analytics Requirements
Module Code Module Title MCs
TBA2101 Building an Analytics Organisation 4
TBA2102 Introduction to Business Analytics 4
TBA2104
Predictive Analytics
4
TBA3102
Text Analytics
4
TBA3241 Social Media Analytics
4
TIC4902B
Business Analytics Capstone Project
12
Mathematics Requirements
Module Code Module Title MCs
TMA1001 Introductory Mathematics 4
TMA2101 Calculus for Computing 4
TMA2103
Probability and Statistics
4

Major Requirements – Elective Modules (20 MCs, to be selected from the list below)

At least three out of five modules must be at level 4000. Not all elective modules may be offered in any semester/year. An elective module may not be offered if there is insufficient number of students opting for that module at any particular time.

Module Code Module Title MCs
TBA3150 Mobile App and Game Analytics 4
TBA3222 Marketing Analytics 4
TBA4204
Financial Analytics
4
TBA4215
Workforce Analytics
4
TBA4220
Geospatial Analytics
4
TBA4230
Audit Analytics
4
TBA4250
Healthcare Analytics
4

* Note: TIC2001 is double-counted towards both the respective Major Requirements and the Digital Literacy (GEI) pillar.

Unrestricted Elective Modules (28 MCs)

Holders of diploma or higher qualifications admitted into the BTech Computing programmes will generally be granted 20 MCs of unrestricted elective requirements as Advanced Placement Credits (APCs) automatically. Holders of certain information communication technology-related diplomas that have been accredited for admission may be granted further credits. Additional credits can also be granted for the completion of relevant Advanced Diplomas and by opting to select and register to sit for Module Advanced Placement Credit (MAPC) Tests

GRADUATION REQUIREMENTS

To graduate with a BTech (Business Analytics) degree, students must meet the following requirements:

Programme and/or Specialisation

Complete a minimum of 160 MCs.

A minimum 60% of Programme/Major/Second Major credits must be earned from NUS modules, which are defined as all modules taught, co-taught, supervised or co-supervised by one or more NUS faculty members. These would consist of graded modules with assigned grade points, or modules with an ‘S' or ‘CS' grade.

The other 40% of credits may be earned through credit transfers, advanced placement and exemptions, provided these MCs are earned from modules deemed relevant to the particular Major/Programme.

Module and/or Graduate Certificate

Level-1000 modules to be counted towards fulfilment of graduation requirements limited to 60 MCs (excluding the 20 MCs of unrestricted elective requirements as APCs)

Cumulative Average Point (CAP) 

Minimum 2.0 (out of maximum 5.0)

Please see also the University’s minimum standards for Continuation and Graduation Requirements. Specific programmes may implement stricter or additional requirements.

Other  Any other additional requirements that may be prescribed by SCALE, the School of Computing, or the University

FEES AND FINANCIAL ASSISTANCE

All fees for the NUS BTech programme quoted on this page are exclusive of prevailing GST, unless otherwise stated. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.

Tuition Fee

AY2022/2023 cohort tuition fee per MC (without subsidy): S$898.00 (excluding GST) / S$961.00 (including GST)

Singapore Citizens and Singapore Permanent Residents (SPRs) may enjoy a subsidy (see Financial Assistance below)

For reference, the tuition fees for previous cohorts are set out here.

Note: BTech fees are charged on a cohort-based system, where tuition fees are fixed throughout a student’s candidature, based on the prevailing fee for the intake in which the student was admitted. The fees are reviewed annually, with adjustments being made as and when necessary with each new cohort of students. This system, which has been in place at NUS since AY2008/09, allows each new cohort to anticipate the approximate total tuition fees they have to pay throughout their candidature

Financial Assistance

The Singapore Ministry of Education (MOE) provides eligible Singaporeans and SPRs taking undergraduate degree programmes for the first time in local universities, even if on a part-time basis, with a substantial tuition fee subsidy.

AY2022/2023 cohort tuition fee per MC for eligible applicants (with subsidy):

• Singapore Citizens (after MOE subsidy): S$140.00 (excluding GST) / S$150.00 (including GST)
• Singapore Permanent Residents (after MOE subsidy): S$270.00 (excluding GST) / S$289.00 (including GST)

Students in this programme have in the past been eligible for, or received funding support from:

SkillsFuture Study Award for Infocomm Technology (Singapore Citizens only)

For more about loans and other financial assistance, please refer to the NUS Office of Admissions

Application Fee 

S$50.00 (excluding GST) / S$53.50 (including GST)

• Non-refundable and non-transferable
• Limited to one application submission per intake, for up to a maximum of five programmes/courses per application

Administrative Fee

S$233.64 (excluding GST) / S$250.00 (including GST)

• Payable every regular semester

Miscellaneous Student Fees

As published by NUS Registrar’s Office

• Payable every regular semester


Programme at a Glance*
Upcoming Webinar(s):
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Next Intake:

Application Period:
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* For full details, please refer to main write-up.

For enquiries, contact us.

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06 May 2022