Bachelor of Science (Honours) in Data Science and Business Analytics 

University of London

Programme Overview

Academic Level
Academic Level

Bachelor's Degree,

Awarded by
Awarded by

University of London, UK

Programme type
Programme type

Full-time, 3 years

Campus location
Campus location

SIM Campus

Application Dates
Application Dates

Applications are open till 2 Feb 2025 (local and international applicants)

Estimated Fees (incl. GST)
Estimated Fees

(incl. GST)*

S$26,440 to S$42,335

* All fees inclusive of current 9% GST (exclude textbooks / course materials, SIM application fee, preparatory / bridging course fee, and other fees). Refer to GST Notes under Fees Tab for more information.

Programme Outline

Awarded by University of London, UK and Developed by federation member, London School of Economics and Political Science, UK.

As the world becomes ever more data-driven, analytical skills are in high demand but very short in supply. Few companies are exploiting quantitative techniques to their full potential, often due to a lack of in-house expertise.

The programme aims to develop competence in students in the application of statistical and machine learning techniques at a high level. It will provide students with a sound knowledge of the principles underlying standard applications of probability and statistics.

They will be taught to demonstrate statistical software to analyse datasets and interpret the output, using a variety of algorithmic and model-based methods. It is important for graduates to learn to draw appropriate conclusions following empirical analysis and form the basis for managerial decision-making.

Prerequisite(s)

  • This statistics degree programme requires candidates to have attained greater competency in mathematics prior to admission. 

learning-outcome

Learning Outcomes

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

  1. Conduct data analysis and draw actional conclusions from computer output.
  2. Use complex mathematical and statistical models to tackle real-world problems.
  3. Navigate the intersection of business, management and data. 

Further Studies & Career Prospects

Graduates may progress to postgraduate studies either locally or overseas.

Upon completing this programme, graduates will be highly sought-after by employers as the race to gain a competitive edge in the data arena intensifies. From asset management to pharmaceuticals, retail to insurance, the future is bright for any aspiring data scientist.

Possible jobs would be Data Scientist, Data Analyst, Business Analyst and Data Engineer.

Overall employment rate for SIM-UOL graduates: 82.3%*

*Based on the SIM Graduate Employment Survey 2022/23 conducted by Media Research Consultants on the 2022 cohort of graduates from the full-time Bachelor degree programmes, approximately 6 months after completing their studies. The overall employment rate includes graduates in both full-time and part-time employment.

Hear from our students
More than academics: A foreign student’s experience of studying at SIM
More than academics: A foreign student’s experience of studying at SIM

What is it like to study at SIM in Singapore as a foreign student? SIM-University of London (UOL)’s Business & Management graduate Lakshmi Shreya Atmakuru shares her experience.

Read story

Why study at SIM x University of London

uol-sim-leading-pvt-edu

SIM is the leading private education institution in Singapore.

uol-excellent-value

Excellent value, with opportunities for overseas study.

uol-lse-is-one-of-the-foremost

LSE is one of the foremost social science universities in the world with a worldwide reputation for the quality of its research.

uol-globally-recognised

Globally recognised – Programmes offered have the same academic standards as the London School of Economics and University of London, UK.

Learn more about the University of London

Intake Dates

2025 Aug intake

PROGRAMME DURATION

Aug 2025 to Jun 2028 (3 years)

APPLICATION PERIOD

Applications are open till 2 Feb 2025 (Local and Intl).

Early submission of application is strongly recommended.

2025 Sep intake

PROGRAMME DURATION

Sep 2025 to Jun 2028 (3 years)

APPLICATION PERIOD

Applications are open till 2 Feb 2025 (Local and Intl).

Early submission of application is strongly recommended.

Minimum / Maximum Candidature Period 
Standard BSc (Hons) (12 modules) 3 years / 6 years 
Graduate BSc (Hons) (9 modules) 2 years / 6 years

The candidature period may be extended by the University on a case-by-case basis. 

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

At SIM, students who are academically weak and find it difficult to progress or complete the programme within the minimum duration will receive counselling.

SIM reserves the right to recommend and withdraw a student who cannot cope with the demands of the programme, especially when the student’s pass has expired. 

Curriculum

Structure

  • Blended lectures, group discussions, workshops and online study. 
  • Duration of each lesson is 3 hours. 
  • Classes are taught by local faculty, supplemented by webinars by the London School of Economics on the Virtual Learning Environment. 
    View a list of lecturers (PDF 37 KB)
  • Academic materials include Virtual Learning Environment, SIMConnect portal, subject guides, past exam papers and exam commentaries, reading lists and handbooks on good study strategies. 
  • Learning support include intensive revision, classes on study skills, academic writing and the Peer-Assisted Learning sessions. 
  • Minimum class size to commence is 25 students. Students will be informed within 30 days after the application period. 
  • Full time classes are held in three-hour blocks between Monday and Friday, starting at 8.30am, 12pm, or 3.30pm. There are occasional classes on weeknights at 7pm and weekends. 
  • Average teacher-student ratio: 1:79 

View sample of full-time class schedule (PDF 67 KB) 

Assessment & Attendance

  • Assessment for IS2184, ST2187, ST2195, ST3188 and ST3189 is a mixture of coursework and examinations. 
  • Attendance and Coursework are part of the University's requirements to sit for the examinations every May/June. SIM students may take resits in the Oct/Nov sitting.
  • A pass or exemption from at least two Level 100 modules is required before they attempt Level 200/300 modules. 
  • Students may have a maximum of 3 attempts for each paper prior to classification. 
  • Key dates: 
    • University Exams: May – Jun 2025
    • Results released: Mid-Aug 2025
  • Attendance requirement: 
    • Local: 75% 
    • International (Dependent Pass holders/ Long-term Visit Pass holders): 90% 

Requirements to Graduate

  • The award of the BSc (Hons) degree requires successful completion of all 12 modules. 
  • Grading Scheme: 
    • 70-100: First Class Honours 
    • 60-69: Second Upper Class Honours 
    • 50-59: Second Lower Class Honours 
    • 40-49: Third Class Honours 
    • 0-39: Fail 
  • Graduates can attend the April SIM campus ceremony or the March University of London ceremony (UK).

Modules

This degree is recommended only if the candidates have passed Mathematics at GCE ‘A’ level or the equivalent.

100 modules 
1. # EC1002 Introduction to economics 
2. MT1186 Mathematical methods 
3. MN1178 Business and management in a global context 
4. ST1215 Introduction to mathematical statistics, or
    ST104A Statistics 1 (half module) and **ST104B Statistics 2 (half module)

200 and 300 modules 
5. ST2195 Programming for data science 
6. ST2187 Business analytics, applied modelling and prediction (ST104A) or (ST1215) + (MT1174 or MT1186) 
7. ST2133 Advanced statistics: distribution theory (half module) (ST104A + ST104B) or (ST1215) + (MT1174 or MT1186) and ST2134 Advanced statistics: statistical inference (half module) (ST104A + ST104B) or (ST1215) + (MT1174 or MT1186) 
8. ^EC2020 Elements of econometrics (EC1002) + (ST104A) or (ST1215) + (MT1186), or
    MT2116 Abstract mathematics (MT1186), or
    IS2184 Information systems management 
9. ST3188 Statistical methods for market research (ST104A) or (ST1215)
10. ST3189 Machine learning (ST104A + ST104B) or (ST1215) + (MT1174 or MT1186) 
11. One 300 module from Selection groups E, M or N 
12. * One 100, 200 or 300 module (or two half modules) chosen from any Selection group

# EC1002 Introduction to economics must be taken after or at the same time as MT1186 Mathematical methods and ST104A Statistics 1 

* RPL awarded from one named or unnamed 100 module can be placed here. 

** ST104B Statistics 2 must be taken after or at the same time as ST104A Statistics 1 

^ EC2020 Elements of econometrics can only be taken at the same time as or after ST104B Statistics 2 and MT105B Mathematics 2, not before. You will also need to have passed the prerequisites of EC1002 Introduction to economics, MT105A Mathematics 1 and ST104A Statistics 1. However, if you passed MT1186 Mathematical methods, you do not need to take MT105A Mathematics 1 or MT105B Mathematics 2, but must still meet the other prerequisites and co-requisites. 

100 modules 
1. ^EC1002 Introduction to economics 
2. MT1186 Mathematical methods 
3. ST1215 Introduction to mathematical statistics, or
    ST104A Statistics 1 (half module) and ^ST104B Statistics 2 (half module)

200 and 300 modules 
4. ST2195 Programming for data science 
5. ST2187 Business analytics, applied modelling and prediction (ST104A) or (ST1215) + (MT1186) 
6. ST2133 Advanced statistics: distribution theory (half module) (ST104A + ST104B) or (ST1215) + (MT1186) and ST2134 Advanced statistics: statistical inference (half module) (ST104A + ST104B) or (ST1215) + (MT1186) 
Or: 
7. ^EC2020 Elements of econometrics (EC1002) + (ST104A) or (ST1215) + (MT1186), or
    MT2116 Abstract mathematics (MT1186), or
    IS2184 Information systems management 
8. ST3188 Statistical methods for market research (ST104A) or (ST1215)
9. ST3189 Machine learning (ST104A + ST104B) or (ST1215) + (MT1186)

# EC1002 Introduction to economics must be taken after or at the same time as MT1186 Mathematical methods and ST104A Statistics 1 

* RPL awarded from one named or unnamed 100 module can be placed here. 

** ST104B Statistics 2 must be taken after or at the same time as ST104A Statistics 1 

^ EC2020 Elements of econometrics can only be taken at the same time as or after ST104B Statistics 2 and MT105B Mathematics 2, not before. You will also need to have passed the prerequisites of EC1002 Introduction to economics, MT105A Mathematics 1 and ST104A Statistics 1. However, if you passed MT1186 Mathematical methods, you do not need to take MT105A Mathematics 1 or MT105B Mathematics 2, but must still meet the other prerequisites and co-requisites. 

View 2024-2025 modules offered at SIM

View modules information

 

image-divider-1

Admission Criteria

Accepted Entry Qualifications

General Entrance Requirements (GER) are: 

  • Applicant must be 17 years or older by 30 November in the year of registration with UOL 
  • This degree is recommended only if you have scored well in Mathematics at GCE ‘A’ level or the equivalent. 
  • Two approved GCE ‘A’ /H2 level subjects and three approved GCE ‘O’ level subjects, OR 
  • Three approved GCE ‘A’ /H2 level subjects and one approved GCE ‘O’ level subject, OR 
  • Three H2 passes provided that at least grades D, E, E are obtained, OR 
  • Two H2 and two H1 passes provided they are in non-overlapping subjects, OR
  • Its equivalent 

 The following qualifications^ meet GER for admission into Year 1: 

  • Diploma in Accounting, Banking and Finance, International Business and Management Studies awarded by SIM** 
  • Diplomas awarded by Nanyang Polytechnic, Ngee Ann Polytechnic, Republic Polytechnic, Singapore Polytechnic or Temasek Polytechnic 

View the University of London Prospectus.

^ All listings are not exhaustive and they are subject to annual revision. 

** SIM Diploma graduates are required to take up the SIM Bridging Course for Mathematics and pass the examination (40% to pass) before enrolment. 

Equivalent International Qualifications

  • University of London International Foundation Certificate with Merit passes in Mathematics and Statistics 
  • University of London Certificate of Higher Education in Social Sciences 

For information on international qualifications, refer to SIM’s International Student Prospectus

International students who wish to pursue the BSc Data Science and Business Analytics degree programme are strongly encouraged to apply for the Certificate of Higher Education in Social Sciences (CHESS) (see Option D), as this qualification is equivalent to the first year of the BSc degree programme. After one year of studies in the CHESS (Option D), candidates will articulate into Year 2 of the BSc Data Science and Business Analytics. 

Other Requirements

  • GCE ‘O’ level - C6 or better in English 

 
Alternatively, candidates should have one of the following qualifications: 

  • Cambridge Certificate of Proficiency in English, OR 
  • Cambridge English Language 1119 (at grade 6 or better) conducted by University of Cambridge Local Examinations Syndicate OR IGCSE English as a 2nd Language, passed at grade B or above, OR 
  • IB Diploma - English at grade 4 or better 

 
Candidates may also take a Test of Proficiency to meet the English Language course requirement, provided they have been awarded within the past three years. 

  • TOEFL - a score of 580 (computerised - 237) plus TWE - 4.5, OR 
  • Internet based TOEFL - a score of 87, at least 21 in both the reading and writing skills sub-tests, and at least 19 in both the speaking and listening skills sub-tests, OR 
  • IELTS – overall score of at least 6 with a minimum of 5.5 in each of the four sub-tests 


Learn more about other UK GCSE equivalents 

  • GCE ‘A’ Level Maths passed at A - E grade (or its equivalent)
  • Local polytechnic diploma in Engineering, Science, Business Information Systems, Information Systems or Computing PLUS grade B or better for ‘O’ Level E Maths and A Maths 
  • Local polytechnic diploma with 2 acceptable Maths at grade B or better PLUS grade B or better for ‘O’ Level Elementary Maths and Additional Maths. Acceptable Maths includes the polytechnic modules in Mathematics, Engineering Mathematics, Statistics, Business Statistics and Calculus 
  • Malaysia STPM Maths passed at A – C grade (Grade A - E pre 2003) 
  • IB Diploma (Mathematics at Higher Level grade 4 or better, or Standard Level grade 5 or better) 
  • UEC Maths and Advanced Maths at minimum A2 grade  
  • UEC Advanced Maths I and Advanced Maths II at minimum C7 grade 
  • NUS High School upon successful completion 
  • IFP upon successful completion (Maths & Statistics passes at Merit or above) 
  • Pass Mathematics in the SIM Bridging Course for Economics, Mathematics and Accounting (EMA) 

Recognition of Prior Learning (RPL)

RPL is the recognition of previously acquired learning which may be awarded if you have previously studied a similar module in the same depth, and you achieved good marks in the corresponding examination. A student who is awarded RPL for a specific module is considered to be exempted from the module. 

You would need to complete all coursework and assessment for your Polytechnic or SIM Diploma before you embark on the bridging course. The qualification must have been obtained within the five years preceding the application for RPL.  

Qualifications that do not qualify for an automatic exemption will require an exemption application fee of £113 per full module or £58 per half module. For the bridging courses listed in the next section which meet the UOL automatic exemption requirement, no exemption application fee is needed. 

For more information on RPL, visit the UOL website.

Bridging Course

All bridging courses are developed and awarded by the Singapore Institute of Management Pte Ltd, Singapore. There will be only one intake per year. 

Bridging Course for Economics, Mathematics and Accounting (EMA) 

Course Fees: S$850.20 per module, inclusive of 9% GST 

Course Dates:  

  • Economics and Mathematics: Jun – Jul 2025 (FT / PT) 
  • Mathematics and Accounting*: Jul – Aug 2025 (FT only) 


Applications open for EMA Bridging (Jun 2025 intake) till 2 Feb 2025.

Applications open for EMA Bridging (Jul 2025 intake) till 2 Feb 2025.


Applicants of the BSc Data Science and Business Analytics programme who do not meet the Mathematics requirement may enrol for the Mathematics module of the two-month Bridging Course for EMA. Upon passing, they will meet the Mathematics requirement for admission. 
Business diploma graduates may also enrol for the Economics module of the Bridging Course for EMA to gain exemption from EC1002. 

Please note that the Bridging course for Mathematics is not available for applicants of the BSc Data Science and Business Analytics programme who meet the Mathematics requirement.

Bridging module(s) will be offered based on the degree applied.

View more course details (PDF 5.2 KB) 
Download a sample timetable (PDF 74 KB) 

Bridging courses and their corresponding RPL: 

Bridging module(s)

RPL from UOL modules in

Economics 

EC1002 Introduction to economics 

The average teacher-student ratio is 1:55 for full-time Bridging EMA, and 1:47 for part-time Bridging EMA. 

Notes: 

  1. Min 25pax to start the course. The student shall be informed within one month before programme commencement. 
  2. All bridging courses are 100% written exams that are set and marked by SIM lecturers.  
  3. Students must pass with at least a C grade (40%) in all bridging examinations to qualify for RPL. 
  4. Fees do not include textbooks and application fee.

image-divider-2

Fees & Financial Aid

All fees inclusive of current 9% GST (exclude textbooks / course materials). The estimated overall fees are payable in instalments. The amount of each instalment is dependent on the number of modules undertaken for each semester and based on the following components:

  • SIM Programme Fees, UOL Module Fees and Exam-related Fees - Payable and calculated on a per module basis.


GST Notes:

  • Fees published are inclusive of current GST of 9%. The parts of fees not invoiced, not paid and where services are not rendered in year 2023 are subject to the new GST rates effective on 1 Jan 2024. Refer to IRAS website here for more details.
  • For invoice generated in 2023 for services to be rendered in 2024, if payment is collected by 2023, 8% GST will apply.
  • For invoice generated in 2023, if the payment is received in 2024 and service is rendered in 2024, 9% GST will apply. Credit note against original invoice and a new invoice bearing 9% GST will be issued.
  • For invoice generated in 2023 and service is rendered in 2023, if payment is collected in 2024 (i.e. late payment), 8% still applies.


View all payment modes

Programme Fees

Estimated Overall Fees (FT/PT)

Standard Entry BSc
(12 modules for 3 years)

Year 1: S$13,120
Year 2: S$13,240
Year 3: S$13,485

Total programme fee: S$39,845

Standard Entry BSc with exemption from 4 full modules
(8 modules for 2 years)

Year 2: S$13,160
Year 3: S$13,280

Total programme fee: S$26,440

Graduate Entry BSc
(9 modules for 2 years)
Year 1: S$13,160
Year 2: S$16,600

Total programme fee: S$29,760

Breakdown of Estimated Overall Fees

Payable to SIM

12 full modules: S$22,628.40
8 full modules: S$15,085.60
9 full modules: S$16,971.30

Payable to University of London (UOL)

UOL Application Fee (One-Time Payment): £65.40
UOL Module Fee (12 modules for 3 years): £8,631.80
UOL Module Fee (8 modules for 2 years): £5,613.06
UOL Module Fee (9 modules for 2 years): £6,331.81
Exam admin fee (Per paper): S$203

Additional UOL and SIM fees apply for those who repeat/resit the coursework/exam and also for those who extend their registration with the University.

*The fees above are inclusive of the prevailing Goods and Services Tax.
While SIM fees do not fluctuate during a student's study period, the other fees to UOL are likely to increase each year.

Estimated Overall Fees (FT/PT)

Standard Entry BSc
(12 modules for 3 years)

Year 1: S$13,950
Year 2: S$14,070
Year 3: S$14,315

Total programme fee: S$42,335

Standard Entry BSc with exemption from 4 full modules
(8 modules for 2 years)

Year 2: S$13,990
Year 3: S$14,110

Total programme fee: S$28,100

Graduate Entry BSc
(9 modules for 2 years)

Year 1: S$13,990
Year 2: S$17,635

Total programme fee: S$31,625

Breakdown of Estimated Overall Fees

Payable to SIM

12 full modules: S$25,113.60
8 full modules: S$16,742.40
9 full modules: S$18,835.20

Payable to University of London (UOL)

UOL Application Fee (One-Time Payment): £65.40
UOL Module Fee (12 modules for 3 years): £8,631.80
UOL Module Fee (8 modules for 2 years): £5,613.06
UOL Module Fee (9 modules for 2 years): £6,331.81
Exam admin fee (Per paper): S$203

Additional UOL and SIM fees apply for those who repeat/resit the coursework/exam and also for those who extend their registration with the University.

*The fees above are inclusive of the prevailing Goods and Services Tax.
While SIM fees do not fluctuate during a student's study period, the other fees to UOL are likely to increase each year.

S$850.20 per module for Bridging EMA

Mandatory Fees

All fees inclusive of prevailing GST. 

Student Development Fee 

Applicable to all students embarking on a full-time Diploma or Undergraduate programme at SIM. This fee goes towards activities that will help in students’ personal growth and equip them with functional skills that enhance their employability.

Payable with the programme fees’ first instalment. 

S$512.30

International Student Induction Fee 

A one-time fee payable by new full-time international students. This fee covers pre-arrival and arrival support, including activities to enhance the international student learning experience.

As applicable, payable with the programme fee's first instalment. 

S$436.00

Application Fee 

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. 

Local applicants:
S$109.00

International applicants:
S$545.00 (not inclusive of Student’s Pass application)