Introduction

Discipline

Mathematics, Actuarial Science, Statistics

Program

Bachelor's Degree Program

Qualification Awarded

University of London - Bachelor of Science (Honours) in Data Science and Business Analytics

Awarding Institution

University of London, UK

Recognition of Qualification

EduTrust

Course Duration

3 years

Intake

September

Class Location

Singapore Institute of Management

Specialty

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

Students will have exposure to a mixture of R and SPSS in the three new statistics courses (ST2187, ST3188 and ST3189).

This degree will provide a broad introduction to the techniques and subject matter of applied statistics and machine learning to train students to perform independent data analysis. Students will be a

Possible jobs for graduates of the BSc Data Science and Business Analytics would be Data Scientist, Data Analyst, Business Analyst, Data Engineer.

Possible employers in Singapore would be SAP, banks like DBS, Standard Chartered, AXA, Siemens, Dyson, Singtel, StarHub.

82.7% graduates found jobs within 6 months of completing their studies

Bond-free Scholarship for Diploma and Degree programmes are available

Course Syllabus

Major Subjects

Standard Entry Route:
100 units

1. # EC1002 Introduction to economics
2. ST104A Statistics 1 (half unit) and **ST104B Statistics 2 (half unit)
3. MN1178 Business and management in a global context
4. MT1186 Mathematical methods

200 and 300 units

5. IS2184 – Information systems management
6. ST2187 Business analytical, applied modelling and prediction (ST104A) + (MT105A or MT1174 or MT1186)
7. ST2133 Advanced statistics: distribution theory (half unit) (ST104A + ST104B) + (MT105A+ MT105B or MT1174 or MT1186) and ST 2134 Advanced statistics: statistical inference (half unit) (ST104A + ST104B) + (MT105A + MT105B or MT1174 or MT1186)
8. ^ EC2020 Elements of econometrics (EC1002 + ST104A) + (MT105A or MT1174 or MT1186) or MT2116 Abstract mathematics (MT105A + MT105B or MT1174 or MT1186)
9. ST3188 Statistical methods for market research (ST104A)
10. ST3189 Machine learning (ST104A + ST104B) + (MT105A + MT105B or MT1174 or MT1186)
11. One 300 unit from Selection groups E, M or N
12. *One 100, 200 or 300 unit (or

Entry Requirement

2 STPM subjects at grade C or better, together with 3 non-overlapping SPM subjects at grace C or better including Mathematics OR
5 UEC subjects at grade B6 or better, together with 3 non-overlapping SPM subjects at grace C or better including Mathematics OR
8 UEC subjects at grade B6 or better including Mathematics OR
2 ‘A’ level and 3 ‘O’ level passes in non-overlapping subjects OR
3 ‘A’ level passes in non-overlapping subjects.

English reqmt: SPM English grade C, with a 3 year validity or C6 in 1119 (GCE O) or or iELTS 6.0 (with band no less than 5.5) or TOEFL iBT 87
** BSc Data Science & Business Analytics and BSc Mathematics & Economics require candidates who have completed ‘A’ level equivalent Mathematics / SIM-UOL International Foundation Programme (IFP) achieve merit in Mathematics and Statistics in the IFP.

Course Fees

Budget

< RM150000 (estimated total amount of the tuition and miscellaneous fees for the entire program)

Tuition Fee

S$ 41,000 (est.) for 12 units / 3 years (BSc Standard route)

Application Fee

S$ 545 (International students) / S$ 109 (Singaporean/PRs)

Other Fees

One-time fees: Student Development Fee : S$512.30, International Student Induction Fee : S$436

The fee listed above is only for reference. For the actual information of the tuition fees, please click here to inquire.

Course Inquiry

SIM Malaysia Rep Office:
30F, The Gardens North Tower, Mid Valley City,
Lingkaran Syed Putra, 59200 Kuala Lumpur, Malaysia

WhatsApp : +6017 457 0878
Tel no : +603 2035 9680 / +603 20359681
Email : sim.my@sim.edu.sg

Singapore Institute of Management

新加坡管理学院

SIM-UOL Bachelor of Science (Honours) in Data Science and Business Analytics