Overview

Introduction

Big data and analytics remain a key strategy for Singapore and there is high demand for manpower in this area. The Specialist Diploma in Big Data & Analytics is a one year Earn and Learn programme targeted primarily at diploma graduates who want to deepen their skills in big data and analytics. Designed to give you a head-start in your career, the programme allows you to secure full-time employment with industry leaders, tapping on structured on-the-job and institution-based training to deepen your skills and knowledge in this area. 

Due to the high demand for trained personnel in the area of big data and analytics, you can expect to have attractive salaries upon completion of the programme. Moreover, as this area is still evolving, there will be many opportunities for you to further upgrade and deepen your skills in your career.

Target Participants

Singaporeans or Singapore Permanent Residents who are fresh Polytechnic graduates from relevant full-time IT/technology-related courses of study.

Please see Eligibility Criteria for more information.

Career Opportunities

Graduates can look forward to taking up the following types of positions:

  • Data Engineer1
  • Data Analyst1

Graduates of this course can look forward to a role expansion in their workplace. They can also look forward to upgrading their knowledge and skills through further CET and executive programmes offered by local Institutes of Higher Learning, like Singapore University of Social Sciences and Singapore Institute of Technology.

Academic Progression 

Graduates of this ELP ICT (Big Data & Analytics) programme may enjoy credit recognition if they undertake the Bachelor of Science in Business Analytics offered by the Singapore University of Social Sciences, subject to meeting the entry requirements of the institution. 

1 Job titles may vary across companies

Course Details

Course Commencement 

The Earn and Learn Programme is scheduled to commence in every April and/or October 2017.

Course Duration

Participants will undergo a 12-month structured training programme, including facilitated learning, e-learning, professional certification, and on-the-job training.  Face to face lessons will be conducted in blocks of weeks over two 15-week semesters within the 12-month period.

Application Period

Application for ELP is on-going. Please contact us to find out more.

Course Structure

Upon completion of the Specialist Diploma course, graduates should be able to:

  • manage big data using big data management systems;
  • apply techniques to analyse and visualise streaming data;
  • apply quantitative techniques for decision-making and resource planning;
  • analyse, format and display data in an elegant, informative and interactive way;
  • apply various data mining and machine learning techniques. 

Participants will be awarded the Specialist Diploma in Big Data & Analytics upon successful completion of the following:

  • Post-Diploma Certificate in Big Data Technologies
  • Post-Diploma Certificate in Data Analytics

Post-Diploma Certificate in Big Data Technologies

Subject code Subject
CBAL001

This subject covers various types of highly distributed and scalable systems that are used for storing and processing Big Data. Students will have hands-on experience using the various Big Data Management Systems. Topics covered include MapReduce implementations such as Hadoop and its ecosystem, NoSQL data stores such as Hbase and MongoDB, and NewSQL database systems such as VoltDB.

CBAL002

This subject covers the techniques to analyse and visualise streaming data in real-time. Streaming data is data that is always available, often loosely structured and has high-cardinality dimensions. Topics covered include real-time streaming architecture, stream analysis and processing, and visualisation of streaming data.

Post-Diploma Certificate in Data Analytics

Subject code Subject
CBAL003

This subject introduces students to the quantitative techniques commonly used for decision-making and resource planning. Topics covered include Linear Programming, Forecasting, Decision Analysis and Simulation Modeling.

CBAL004

This subject covers various data mining and machine learning techniques and how to employ these techniques in the context of popular applications such as recommender systems, searching, text analytics and social media analytics. Topics covered include supervised algorithms such as rule induction, decision trees and neural network and unsupervised machine learning algorithms such as k-means clustering and self-organized maps.

CBAL005

This subject aims to equip students with the knowledge and skills to analyse, format and display data in an elegant, informative and interactive way. Topics covered include Techniques for Data Visualisation, Dashboard Design, Spatial Information Visualisation, Time Series Visualisation.

Modes of Assessment

Case Study Assignments

Projects

Written Tests

Course Fees

Category

PDC in Big Data Technologies

 PDC in Data Analytics

Enhanced Training Support for SME Scheme

$218.16

$363.60

Singapore Citizens below the age of 40

$308.16

    $513.60

Singapore Permanent Residents

$828.18

  $1,380.30

(nett fee payable inclusive of GST)

MOE subsidy will not be applicable for students who repeat a module or semester.

Fees payable is based on per PDC.

The course fees will be reviewed by MOE on an annual basis and adjusted accordingly.

Eligibility Criteria

Eligibility Criteria for ELP ICT

Singaporeans or Singapore Permanent Residents who are within three years of either graduation from the polytechnics or the Operational Ready Date (ORD) for National Servicemen from relevant full-time engineering-related courses of study are eligible to apply.

Eligibility Criteria for ELP Sign-on Incentive

Only for Singapore Citizens who are fresh Polytechnic graduates hired by participating companies and officially commenced ELP within 3 years of graduation or ORD.

Application and Enquiries

Application and Enquiries

Individuals

Interested applicants may email the following documents with the subject “ELP ICT/ Specialist Diploma in Big Data & Analytics” to Ms Jacelyn Neo | jacelynn@tp.edu.sg.  

  1. Resume
  2. Highest Qualification Certificate & Transcripts
  3. NRIC
  4. National Service Completion Certificate (if applicable)
  5. Relevant Supporting Document such as Testimonial (optional)

Please note that all resumes will be forwarded to all participating companies for their selection.

Selection of applicants is at the discretion of the participating companies and participating companies will contact their shortlisted applicants for interview. Applicants have the right to reject the interview if they are not comfortable in working with the company who contacted them.

Only applicants who are hired by the participating companies will be invited to submit an online application for the Earn and Learn Programme. 

Employers

Companies who are interested to find out how this ELP can support your organisation’s talent development plan may contact the following personnel for more information:


 
EVENTS   | All Events
05
OCT

Security Industry Conference 2017

Marina Bay Sands, Singapore
05 - 06 Oct 17