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

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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 Headquarters

Application Dates
Application Dates

Now till 1 Aug 2023 (local and international applicants)

Estimated Fees (incl. GST)
Estimated Fees

(incl. GST)*

S$34,200 to S$35,400

* All fees inclusive of current 7% GST (exclude textbooks / course materials). Fees will be subject to revised GST of 8% effective on 1 Jan 2023 and 9% on 1 Jan 2024. Refer to GST Notes under Fees Tab for more information.

Programme Outline

Awarded & Developed by: University of London, UK and Developed by the Member Institution, 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. 

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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 (SIM): 83.8%*

*Based on the SIM Graduate Employment Survey 2020/21 conducted by Media Research Consultants on the 2020 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. 

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 lower tuition costs in SIM.

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 – Degrees offered at SIM-UOL have the same curricula and academic standards as University of London, UK.

Learn more about the University of London

Intake Dates

2023 Aug intake

PROGRAMME DURATION

Aug 2023 to Jun 2026 (3 years)

APPLICATION PERIOD

Now till 1 Aug 2023 (local and international applicants)

Early submission of application is strongly recommended.

2023 Sep intake

PROGRAMME DURATION

Sep 2023 to Jun 2026 (3 years)

APPLICATION PERIOD

Now till 1 Aug 2023 (local and international applicants) 

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 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

  • Face-to-face 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’ teaching modules (PDF 405 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 & Attendence

  • Assessment for IS2184, ST2187, ST3188 and ST3189 is a mixture of coursework and 2-hour examinations. 
  • Completion of class tests, assignments and preliminary exams are highly encouraged in preparation for the University’s annual exams. 
  • 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: 
    • SIM Preliminary Exams: Feb 2023 
    • University Exams: May – Jun 2023 
    • Results released: Mid-Aug 2023 
  • 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 may opt to participate in the presentation ceremony on SIM campus in April or the University of London (UK) in March. 

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. ST104A Statistics 1 (half module) and **ST104B Statistics 2 (half module)

200 and 300 modules 
5. ST2195 Programming for data science 
6. ST2187 Business analytical, applied modelling and prediction (ST104A) + (MT1174 or MT1186) 
7. ST2133 Advanced statistics: distribution theory (half module) (ST104A + ST104B) + (MT1174 or MT1186) and ST2134 Advanced statistics: statistical inference (half module) (ST104A + ST104B) + (MT1174 or MT1186) 
8. ^EC2020 Elements of econometrics (EC1002) + (ST104A) + (MT1174 or MT1186) or MT2116 Abstract mathematics (MT1174 or MT1186) or IS2184 Information systems management 
9. ST3188 Statistical methods for market research (ST104A) 
10. ST3189 Machine learning (ST104A + ST104B) + (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

Learn more about selection groups (PDF 659 KB)

# 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 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. 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) + (MT1186) 
6. ST2133 Advanced statistics: distribution theory (half module) (ST104A + ST104B) + (MT1186) and ST2134 Advanced statistics: statistical inference (half module) (ST104A + ST104B) + (MT1186) 
Or: 
7. ^EC2020 Elements of econometrics (EC1002) + (ST104A) + (MT1186) or MT2116 Abstract mathematics (MT1186) or IS2184 Information systems management 
8. ST3188 Statistical methods for market research (ST104A) 
9. ST3189 Machine learning (ST104A + ST104B) + (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 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 2021-2022 modules offered at SIM (PDF 659 KB)

View modules information (PDF 151 KB)

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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 

 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 


Download the University of London prospectus (PDF 5.4 MB) 

^ 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 
  • 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. 

View eligible exemptions (PDF 7.9 MB) 

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$834.60 per module, inclusive of 7% GST 

Course Dates:  

  • Economics and Mathematics: Jun – Jul 2023 (FT / PT) 
  • Mathematics and Accounting*: Jul – Aug 2023 (FT only) 

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. 

View more course details (PDF 5.2 KB) 
Download a sample timetable (PDF 48 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 set and mark 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.

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Fees & Financial Aid

All fees are inclusive of current 7% GST (exclude textbooks / course materials). Fees will be subject to revised GST of 8% effective on 1 Jan 2023 and 9% on 1 Jan 2024. 

GST Notes:

  • Fees published are inclusive of current GST of 7%. The parts of fees not invoiced, not paid and where services are not rendered in year 2022 are subject to the new GST rates effective on 1 Jan 2023 and 1 Jan 2024 respectively. Refer to IRAS website here for more details.
  • For invoice generated in 2022 for services to be rendered in 2023, if payment is collected by 2022, 7% GST will apply.
  • For invoice generated in 2022, if the payment is received in 2023 and service is rendered in 2023, 8% GST will apply. Credit note against original invoice and a new invoice bearing 8% GST will be issued.
  • For invoice generated in 2022 and service is rendered in 2022, if payment is collected in 2023 (i.e. late payment), 7% still applies.

Payment to SIM can be made through SIMConnect using Credit Card (Visa or Master), PayNow, eNETS, and OCBC Interest-free Instalment Plan (min. S$500).

Programme Fees

Standard Entry BSc (12 modules for 3 years) 
Year 1: $12,400 
Year 2: $10,900
Year 3: $10,900
Total programme fee: $34,200 

Breakdown of Fees 
1) Payable to SIM 
12 full modules: $20,544.00 

2) Payable to University of London (UOL) 
UOL Application Fee (One-Time Payment): £107 
UOL Initial Registration Fee (Year 1): £1,214* 
UOL Continuing Registration Fee (per Year 2 and 3): £554* 

3) Payable to RELC Examinations Bureau 
UOL Examination Fee** 

  • BSc, 12 full modules: $9,400

 

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. 

*These are estimated amounts as UOL and RELC fees are subject to exchange rate fluctuations, Singapore taxation and annual increase. 

** The UOL examination fee is payable in S$ to the RELC Examinations Bureau and subject to yearly increase. 

Standard Entry BSc (12 modules for 3 years) 
Year 1: $12,800
Year 2: $11,300
Year 3: $11,300
Total programme fee: $35,400

Breakdown of Fees 
1) Payable to SIM 
12 full modules: $21,699.60

2) Payable to University of London (UOL) 
UOL Application Fee (One-Time Payment): £107 
UOL Initial Registration Fee (Year 1): £1,214* 
UOL Continuing Registration Fee (per Year 2 and 3): £554* 

3) Payable to RELC Examinations Bureau 
UOL Examination Fee** 

  • BSc, 12 full modules: $9,400

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. 

*These are estimated amounts as UOL and RELC fees are subject to exchange rate fluctuations, Singapore taxation and annual increase. 

** The UOL examination fee is payable in S$ to the RELC Examinations Bureau and subject to yearly increase. 

S$834.60 per module for Bridging EMA

Mandatory One-time Fees

All fees inclusive of prevailing GST. 

Student Development Fee 

A one-time payment 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$251.45

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 fees’ first instalment. 

S$428.00

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$96.30

International applicants:
S$481.50 (not inclusive of Student’s Pass application)