Programmes

Graduate Diploma in Business Analytics (Open in Jan 2019)

Part-time

This programme is not accepting applications in 2018. Details to be advised at a later date. For programme details, please refer to FULL TIME studies.


Awarded by:


Course Start Date & End Date

Details to be advised at a later date.

Fee

Details to be advised at a later date.

Application

Details to be advised at a later date.


Introduction

This programme discusses statistical software and methods, their merits and limitations. It trains students to perform independent data analysis for managerial decision-making. The focus is on empirical analysis. There is 30% coursework for the compulsory modules, ST2187 and ST3188.


Teaching Faculty

Local faculty, with intensive workshops by UK academics.

Delivery Mode

Lectures, group discussions, workshops and online study

Duration of each lesson is 3 hours.

Mode of Study

Full time classes are held in three-hour blocks between Monday and Saturday, starting at 8.30am, 12pm or 3.30pm. There are occasional classes on weeknights at 7pm and on Sundays and public holidays. Local students may transfer between the part-time and full-time programme after a year, at the annual course enrolment exercise for continuing students.

Learning Support

  • Annual intensive revision from mid-March to end-April (lessons may be held in the evenings / weekends / public holidays).
  • Classes on study skills, academic writing and the Peer-Assisted Learning sessions.

Academic Materials

  • Virtual Learning Environment
  • SIMConnect portal
  • University materials such as subject guides, past exam papers and exam commentaries, reading lists and handbooks on good study strategies

Programme Calendar

Classes / Sept 2018 – Feb 2019
SIM Preliminary Exams / Feb 2019
Revision / Mar – Apr 2019
University Exams / May 2019
Results released / Mid-Aug 2019

Candidature Period

The programme is made up of 4 units and there are no prerequisites for each unit.

1 and 5 years to complete the qualification, with a minimum duration of 1 year.

Students will attend classes with those pursuing a Bachelor's programme at SIM campus.

Minimum Class Size

Minimum class size to commence: 25 students. Students will be informed within 30 days after the application period.

Curriculum  

Compulsory courses
ST2187 Business analytics, applied modelling and prediction
ST3188 Statistical methods for market research

+

Two full units from:
Selection groups M or N, one of which MUST be from Selection group M (AC2097 is not included)
    

2018-2019 Units offered at SIM
Outline of Modules
Sample of full-time class schedule
 

Entry Requirements

  • A full first degree* completed in a minimum of 3 years duration on a full-time basis (or equivalent) from a university or an institution acceptable to the University of London,
  • GCE ‘O’ level English - grade C or C6 and above (or its equivalent),
  • 2 satisfactory mathematical subjects** done at degree level (or its equivalent)

* An acceptable quantitative degree / award title include: Computer Science, Economics, Engineering, Finance, Mathematics, Medicine, Physics, Psychology, Quantitative Management, Quantitative Finance, Social Sciences with Quantitative Methods or Statistics.

** 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.

University of London graduates from the same range of degrees under the academic direction of LSE cannot be considered for the Graduate Diploma.

The list is not exhaustive and is subject to annual revision.

Refer to the University of London prospectus for full information.

Foreign Applicants:
Click here for information on overseas qualifications
 

Fees

Details to be advised at a later date.

Exemption Eligibility

There are no exemptions from units.


Students will not be permitted to transfer from the Graduate Diploma to the related BSc qualifications offered through the UOL Programmes.


Students may transfer between the different Graduate Diploma.


A student who fails a unit twice may transfer to another unit, within the 5-year registration period.
 

Profiles

Details to be advised at a later date.

Assessment & Exams

The programme is made up of full and half-units. Candidates may take four full units and complete them in one sitting at the end of the academic year.

SIM assignments, class tests and preliminary examinations allow students sufficient practice for the University's annual examinations.

Exams accounts for 100% grading, except for some units where coursework is assessed by the University.

Units with coursework:
ST2187 Business analytics, applied modelling and prediction (Coursework 30%, 2-hour Examination 70%)
ST3188 Statistical methods for market research (Coursework 30%, 2-hour Examination 70%)

Candidates who fail a module may repeat the module and re-sit the examination the following year. The re-sit unit which is an elective may be replaced by another new unit.

Units which have been passed may not be re-taken. There are a maximum of two attempts for each paper.

There are no pre-requisites for candidates in the Graduate Diploma.

Grading Scheme

Graduates who do well may be awarded with a Diploma with Distinction or Merit.

70-100 : Distinction
60-69 : Merit
40-59 : Pass
0-39 : Fail  

Attendance requirement

Local: 75%
Student's Pass holders: 90%

Graduation

Graduates of the UOL Programmes may progress to postgraduate studies either locally or overseas.

 

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