Awarded & Developed by: University of London, UK and Developed by the Member Institution, London School of Economics and Political Science, UK
This programme is developed by London School of Economics and Political Science (LSE), it will enable you to become a competent and confident data modeller and interpreter, assisting management to make data-driven decisions.
Graduate Diploma in Data Science
Programme Overview
Academic Level
Postgraduate/Masters,
Awarded by
University of London, UK
Programme type
Full-time, 1 year
Campus location
SIM Campus
Application Dates
Now till 1 Aug 2023 (local and international applicants)
Estimated Fees
(incl. GST)*
S$12,640 to S$13,030
* All fees inclusive of current 8% GST (exclude textbooks / course materials, SIM application fee, preparatory / bridging course fee, and other fees). Fees will be subject to revised GST of 9% effective on 1 Jan 2024. Refer to GST Notes under Fees Tab for more information.
Graduate Diploma in Data Science, University of London
Programme Outline
Learning Outcomes
Upon successful completion of this programme, you will understand:
- The techniques and subject matter of theoretical statistics and machine learning.
- How to perform independent data analysis: selecting appropriate statistical methods for a given situation and drawing appropriate conclusions following empirical analysis to form the basis of managerial decision-making.
- How to use statistical software to analyse datasets.
Further Studies & Career Prospects
As the world becomes ever more data-driven, many companies are exploiting quantitative techniques for their businesses. Graduate of this programme will be highly sought after by the employers as the race to gain a competitive edge in the data arena intensifies.
Graduates of this programmes may progress to further postgraduate studies in this field, either locally or overseas.
Hear from our students
What Is Machine Learning? And Should You Pursue A Career In It?
In our increasingly technology-fuelled world, the global machine learning market continues to thrive and experience steady growth. It was valued at $15.44 billion in 2021 and is projected to hit $209.91 billion by 2029, at a compound annual growth rate of 38.8%.
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Why study at SIM x University of London
SIM is the leading private education institution in Singapore.
Excellent value with lower tuition costs in SIM, with opportunities for overseas exchange and transfer.
LSE is one of the foremost social science universities in the world with a worldwide reputation for the quality of its research.
Globally recognised – Programmes offered at SIM-UOL have the same curricula and academic standards as University of London, UK.
Intake Dates
2023 Sep intake
PROGRAMME DURATION
Sep 2023 to Aug 2024
APPLICATION PERIOD
Now till 1 Aug 2023 (local and international applicants)
Early submission of application is strongly recommended.
Minimum / Maximum period:
1 year / 5 years
No refund or recourse should the student fail to complete within the maximum period.
Curriculum
Structure
- Blended lectures, group discussions, workshops and online study.
- Duration of each lesson is 3 hours.
- Students will attend classes with those pursuing a Bachelor’s programme at SIM campus.
- Classes are taught by local faculty, supplemented by webinars by the London School of Economics on the Virtual Learning Environment.
- 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.
- 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.
View sample of full-time class schedule (PDF 67 KB) - Average teacher-student ratio: 1:79
View a list of lecturers (PDF 408 KB) - Minimum class size to commence is 25 students. Students will be informed within 30 days after the application period.
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.
- Students may have a maximum of 3 attempts for each paper prior to classification.
- Key dates:
- SIM Preliminary Exams: Feb 2024
- University Exams: May – Jun 2024
- Results released: Mid-Aug 2024
- Attendance requirement
- Local: 75%
- International (Dependent Pass holders/ Long-term Visit Pass holders): 90%
Requirements to Graduate
- The award of the Graduate Diploma requires successful completion of all 4 full modules.
- Grading Scheme:
- 70-100: Distinction
- 60-69: Merit
- 40-59: Pass
- 0-39: Fail
- Graduates may participate in the presentation ceremony on SIM campus in April or the University of London (UK) in March.
Modules
The programme is made up of 4 full modules. There are no prerequisites or exemptions for each module.
Compulsory modules
- IS2184 Information systems management
- ST3189 Machine learning
Two full modules from the following:
- EC2020 Elements of econometrics
- MT2116 Abstract mathematics
- ST2187 Business analytics, applied modelling and prediction
- ST2133 Advanced statistics: distribution theory (half module)
- ST2134 Advanced statistics: statistical inference (half module)
- ST2195 Programming for data science
- ST3188 Statistical methods for market research
- IS2182 Innovating digital systems and services
- IS3159 Research project in digital innovation
- IS3167 Management and innovation of e-business
- IS3183 Management and social media
View 2022-2023 modules offered at SIM
Admission Criteria
Accepted Entry Qualifications
- A *first degree completed in a minimum of three years on a full-time basis (or equivalent) from a university or other institution acceptable to the University of London
University of London graduates from the same range of degrees under the academic direction of LSE cannot be considered for the Graduate Diploma.
View the University of London Prospectus.
Notes:
Although it is not a formal requirement, students are advised to select the management based course option as opposed to the mathematical based if you do not come from a strong quantitative background.
* An acceptable quantitative degree / award title includes Computer Science, Economics, Engineering, Finance, Mathematics, Medicine, Physics, Psychology, Quantitative Management, Quantitative Finance, Social Sciences with Quantitative Methods, or Statistics.
Equivalent International Qualifications
For information on international qualifications, refer to SIM’s International Student Prospectus.
Other Requirements
- Proof of competence in English acceptable to the University of London such as a minimum Grade C6 and above in the GCE 'O' Level English language examination or its equivalent.
- 2 satisfactory mathematical subjects** done at degree level (or its equivalent)
Notes:
** Satisfactory mathematical subjects include: Algebra, Algorithms, Business Mathematics, Business Statistics, Calculus, Computer Mathematics, Differentials, Engineering Mathematics, Geometry, Mathematics, Quantitative Methods, Quantitative Techniques, Statistics or Trigonometry.
Fees & Financial Aid
All fees inclusive of current 8% GST (exclude textbooks / course materials). Fees will be subject to revised GST of 9% effective on 1 Jan 2024.
GST Notes:
- Fees published are inclusive of current GST of 8%. 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
Additional fees apply for those who repeat/resit the coursework/exam and also for those who extend their registration with the University.
Total programme fee: S$12,640*
The breakdown is as follows:
Payable to SIM
Programme Fees for Graduate Diploma (4 full modules): S$6,912.00
Payable to University of London (UOL)
UOL Application Fee (One-Time Payment) : £107*
UOL Initial Registration Fee : £1,275*
Payable to RELC Examinations Bureau
UOL Examination Fee (4 full units) : S$3,200*
*This is an estimated amount as UOL fees are subject to exchange rate fluctuation, Singapore taxation and yearly increase.
Total programme fee: S$13,030*
The breakdown is as follows:
Payable to SIM
Programme Fees for Graduate Diploma (4 full modules): S$7,300.80
Payable to University of London (UOL)
UOL Application Fee (One-Time Payment) : £107*
UOL Initial Registration Fee : £1,275*
Payable to RELC Examinations Bureau
UOL Examination Fee (4 full units) : S$3,200*
*This is an estimated amount as UOL fees are subject to exchange rate fluctuation, Singapore taxation and yearly increase.
Mandatory One-time Fees
All fees inclusive of prevailing GST.
|
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$432.00 |
|
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: International applicants: |
