ISCA-SUSS Business Analytics Certification Programme Guide for Pre-Enrolment Form

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This guide will provide some useful information when completing your pre-enrolment form with ISCA. Funding Category You will view full fees during course application with SUSS. Subsidies and concession amount will only be reflected in the final invoice upon course offer. The course fees are reviewed annually and may be revised. SUSS reserves the right to adjust the course fees without prior notice. There are 3 (three) selection to this category. You may find more information below: ) Company-sponsored: If you are a company-sponsored applicant, you are to provide us with the necessary information for billing/contact purposes alongside with an official document/sponsorship letter from your company indicating that you will be sponsored for the course. You can download a sample format of the letter here. Should your company be a Small Medium Enterprise (SME), please also provide an official document/letter to declare that your company is a SME. The SME criteria is as follows: - Registered and operating in Singapore; - Have minimum 30% local shareholding; AND - Company s Group annual sales turnover not more than S$00 million; OR - Company s Group employment size not more than 200 workers 2) Self-sponsored: If you are self-funded, you are not required to submit any supporting documents to ISCA. 3) Workfare Training Support: To be eligible for this support, you must be aged 35 and above and earn $2,000 per month. SUSS will seek directly from you for the official required documents. Preferred Class Schedule All classes will be held at SUSS otherwise stated. You can click here followed by the individual course links to download the individual course synopsises for details on assessment components of the course prior to the pre-enrolment application. You are to rank your preferred 2 (two) choices wisely from the 3 (three) types of class schedules to facilitate your planning (refer to page 2 4 for the schedules). Please note that the scheduled classes will only commence if there is a minimum class size and your preferred selection is only an indication of your preferred choice. Changes can still be made during your application registration with SUSS. For further enquires on the pre-enrolment, you may contact us at 6597 560 or email us at iscapathways@isca.org.sg. Last updated on 4 May 208

Type A.: Day Class with Full-Time Students ISCA-SUSS Business Analytics Certification Programme Applicants who select this type (Day Class with Full-Time Students) will attend classes with SUSS full-time students and will choose the preferred day during the application with SUSS. Course Title Session Mode Lesson No. Day Date Time Fundamentals of Data Mining 2-Aug-8 2 9-Aug-8* 3 6-Aug-8 Thursday 4 23-Aug-8 5 30-Aug-8 6 6-Sep-8 3-Aug-8 2 0-Aug-8 3 7-Aug-8 Friday 4 24-Aug-8 5 3-Aug-8 6 7-Sep-8 2.00pm 3.00pm 8.30am.30am ANL32 Statistical Methods 30-Jul-8 2 6-Aug-8 3 3-Aug-8 Monday 4 20-Aug-8 5 27-Aug-8 6 3-Sep-8 3-Aug-8 2 0-Aug-8 3 7-Aug-8 Friday 4 24-Aug-8 5 3-Aug-8 6 7-Sep-8 8.30am.30am 8.30am.30am Last updated on 4 May 208

Course Title Session Mode Lesson No. Day Date Time 26-Sep-8 2 3-Oct-8 3 0-Oct-8 Wednesday 4 7-Oct-8 8.30am.30am 5 24-Oct-8 6 3-Oct-8 Association and Clustering 27-Sep-8 2 4-Oct-8 3 -Oct-8 Thursday 4 8-Oct-8 3.30pm 6.30pm 5 25-Oct-8 6 -Nov-8 * SUSS is in the midst of scheduling a make-up class for the Public Holiday. Last updated on 4 May 208

Type A.2: Evening Class with Part-Time Students ISCA-SUSS Business Analytics Certification Programme Applicants who select this type (Evening Class with Part-Time Students) will attend classes with SUSS part-time students. Semester Term Course Title July 208 Semester Term ONE Fundamentals of Data Mining Session Mode Lesson No. Day Date Time 3 July 208 2 7 August 208 3 4 August 208 4 2 August 208 5 28 August 208 6 4 September 208 7.00pm 0.00pm July 208 Semester Term ONE ANL32 Statistical Methods 26 July 208 2 2 August 208 9 August 208 3 Thursday August 208* 4 6 August 208 5 23 August 208 6 30 August 208 7.00pm 0.00pm 8 September 208 e-learning 2 25 September 208 July 208 Term 3 2 October 208 Association and Semester TWO e-learning 4 9 October 208 Clustering 5 6 October 208 e-learning 6 23 October 208 *A make-up lesson will be scheduled on August, Saturday from 8.30am.30am in lieu of the Public Holiday. 7.00pm 0.00pm Last updated on 4 May 208

Type B: 3-Day Workshop The 3-day workshop is customised for ISCA and applicants will not be required to attend the 6 (six) weekly lessons. Course Title Session Mode Date Time Fundamentals of Data Mining 5 August 208, Wednesday 7 August 208, Friday 20 August 208, Monday 8.30am 5.30pm ANL32 Statistical Methods 7 August 208, 8 August 208, Wednesday 4 August 208, 8.30am 5.30pm Association and Clustering October 208, Monday 2 October 208, 8 October 208, Monday 8.30am 5.30pm Examination Timetable Last updated on 4 May 208

Course Title Date Time Fundamentals of Data Mining 3 November 208, To be advised by SUSS ANL32 Statistical Methods 5 November 208, Thursday To be advised by SUSS Association and Clustering 20 November 208, To be advised by SUSS Last updated on 4 May 208