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.
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| Skill/Experience
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- 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.
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| Other
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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.
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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 Units, including exemptions, as stated below:
- To move to Stage 2 (Year 2): 32 Units
- To move to Stage 3 (Year 3): 64 Units
- To move to Stage 4 (Year 4): 108 Units
PROGRAMME STRUCTURE
The NUS BTech (Business Analytics) is a 160-Unit undergraduate degree programme comprising:
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University-level Requirements for General Education
Students must complete 20 Units, comprising one General Education (GE) Course from each of the pillars in the following list.
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Programme Requirements
Students must complete 112 Units, comprising:
- Major requirements (92 Units), and
- Elective courses (20 Units)
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View Courses
| Major Requirements – Essential Courses (92 Units)
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| Computing Foundations |
| Course Code |
Course Title |
Units |
| TBA2103 |
Data Visualisation |
4 |
| TBA2105 |
Web Mining |
4 |
TIC1001
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Introduction to Computing and Programming I
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4 |
TIC1002
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Introduction to Computing and Programming II
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4
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| TIC1101 |
Professional, Ethical and Social Issues in Computing
|
4 |
TIC2001*
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Data Structures and Algorithms
|
4 |
TIC2003
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Software Development Project
|
4 |
TIC2601
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Database and Web Applications
|
4 |
TIC2901
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Communication for Computing Professionals
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4 |
TIC3901
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Industrial Practice
|
12 |
| Business Analytics Requirements |
| Course Code |
Course Title |
Units |
| TBA2101 |
Building an Analytics Organisation |
4 |
| TBA2102 |
Introduction to Business Analytics |
4 |
TBA2104
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Predictive Analytics
|
4 |
TBA3102
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Text Analytics
|
4
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| TBA3241 |
Social Media Analytics
|
4 |
TIC4902B
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Business Analytics Capstone Project
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12 |
| Mathematics Requirements |
| Course Code |
Course Title |
Units |
| TMA1001 |
Introductory Mathematics |
4 |
| TMA2101 |
Calculus for Computing |
4 |
TMA2103
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Probability and Statistics
|
4 |
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Major Requirements – Elective Courses (20 Units, to be selected from the list below)
At least three out of five courses must be at level 4000. Not all elective courses may be offered in any semester/year. An elective course may not be offered if there is insufficient number of students opting for that course at any particular time.
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| Course Code |
Course Title |
Units |
| TBA3150 |
Mobile App and Game Analytics |
4 |
| TBA3222 |
Marketing Analytics |
4 |
TBA4204
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Financial Analytics
|
4 |
TBA4215
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Workforce Analytics
|
4 |
TBA4220
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Geospatial Analytics
|
4 |
TBA4230
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Audit Analytics
|
4 |
TBA4250
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Healthcare Analytics
|
4 |
* Note: TIC2001 is double-counted towards both the respective Major Requirements and the Digital Literacy (GEI) pillar.
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Unrestricted Elective Courses (32 Units)
Holders of diploma or higher qualifications admitted into the BTech Computing programmes will generally be granted 20 Units 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 Course Advanced Placement Credit (CAPC) Tests.
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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 Units.
A minimum 60% of Programme/Major/Second Major credits must be earned from NUS courses, which are defined as all courses taught, co-taught, supervised or co-supervised by one or more NUS faculty members. These would consist of graded courses with assigned grade points, or courses with an ‘S' or ‘CS' grade.
The other 40% of credits may be earned through credit transfers, advanced placement and exemptions, provided these credits are earned from courses deemed relevant to the particular Major/Programme.
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| Course and/or Graduate Certificate |
Level-1000 courses to be counted towards fulfilment of graduation requirements limited to 60 Units (excluding the 20 Units of unrestricted elective requirements as APCs)
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| Grade Point Average (GPA) |
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.
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| 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 Unit (without subsidy):
S$969.84 (including 8% 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
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Financial Assistance
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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 Unit for eligible applicants (with subsidy):
- Singapore Citizens (after MOE subsidy):
- S$151.20 (including 8% GST)
- Singapore Permanent Residents (after MOE subsidy):
- S$291.60 (including 8% 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
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| Application Fee |
S$54.00 (including 8% GST)
• Non-refundable and non-transferable
• Limited to one application submission per intake, for up to a maximum of five programmes/courses per application
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| Administrative Fee |
S$252.72 (including 8% GST)
• Payable every regular semester
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| Miscellaneous Student Fees |
As published by NUS Registrar’s Office
• Payable every regular semester
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