Diploma in Data Analytics

The Diploma in Data Analytics has been developed by London School of Business and Finance to provide a qualification for students who are seeking to work in the business analytics industry or in occupations where big data management will be of utility.

Throughout the course, students are fully supported and their development is checked frequently by progress assessments. Student performance and satisfaction is monitored to ensure that the course meets students’ academic and personal development needs; and industry contacts ensure that the programme is relevant and suitable for the demands of a career in the industry. With the Diploma in Data Analytics, graduates can pursue entry-level occupations across many industries, such as business analysts, web and social media analysts, and research analysts. 

The Diploma in Data Analytics programme consists of essential core modules such as Statistical Analytics, Data Visualisation, Data Analytics, Machine Learning, Cloud Computing, App Development, Internet of Things, and Project Management. All of which are essential and foundational skill sets and knowledge domains for those who intend to blaze a path in this industry.

The AWS cloud computing curricula has been incorporated into the Diploma in Data Analytics, under the ‘Cloud Computing’ module at LSBF Singapore. Currently, LSBF is working towards expanding the scope of collaboration and integrating this into other modules and programmes being planned to be rolled out in the near future. 

All students participating in the Diploma in Data Analytics programme at LSBF Singapore will be enrolled in AWS Educate. LSBF students will be provided with AWS Promotional Credits to gain real-world and hands-on experience using AWS cloud technology.

Key Facts

  • Duration: 8 months (full-time), 12 months (part-time)
  • Intake dates: Start in January, March, May, July, September, November (full-time); January, April, July, October (part-time)
  • Delivery Mode: Face-to-face Or Synchronous (In-class, Live Broadcast, Blended)
  • Fees: SGD $5,550 (local students) / SGD $7,500 (international students)

Modules

  • This module will get students familiar with basic statistical concepts and applications for collection, analysis and interpretation of data for decision making using data.
  • This module is to prepare students for data preparation and ETL data from different sources and combine them into a single dataset. Students perform more machine learning concepts and algorithms and apply them for text mining and image analytics.
  • This module will get the student familiar with concepts of machine learning and data mining for predictive analytics. Students learn what are the algorithms available, what they do and how to choose the best one and apply it to their data. Students learn to make predictions with the output of the model and compare them across different models. Students will be able to apply these concepts in business application and other fields by studying patterns in the data and using them to make predictions.
  • This module is to prepare students for performing tasks in the cloud. Students are introduced to the concepts of cloud computing such as databases & storage, creating virtual servers, and security.

    Cloud computing has become a high demanding skill to many companies as they speed up their adoption of such digital tools. As the market for cloud services is vast and growing, many companies are built and run on the cloud, and they need talents who have the skills to help them drive technical architecture, design, and delivery of cloud systems. LSBF Singapore aims to bridge the education to career divide by adequately preparing students with the skills and knowledge to enter high-demand technology fields.

  • This module will get the student familiar with concepts of IOT data for analysis. Students learn how to extract IOT data and store in a cloud server. Students perform data extraction from IOT devices and display the data for monitor in the web.The monitored data will be store in the cloud server. Student will learn to download data for data analysis.
  • This module is to prepare students for creating simple apps to be deployed. Students will learn how to design the interface for their apps and store and manipulate data, have logic sequences and making decision (logic) as well as mobile features. Students will also learn how to automate processes in app logic.
  • This module will get the student familiar with concepts of project management following closely the PMBOK syllabus. Students will grasp the concepts of project management and will benefit greatly in their business & IT undertaking. Students will know the stages of each project from start to finish and all the various disciplines of project management lifecycle.
  • This module will get the student familiar with state-of-the-art visualisation capabilities. Students will use BI software to visualise data for insights and analysis. Create own calculated fields and parameters, as well as join and blend different data sources.
  • Apply Online
  • Download Application Form
  • Download Course Details