OVERVIEW
About the Programme
The Diploma in Data Analytics is 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.
CIMA and ACCA accredited degree
8 month | fulltime
fast track degree
Practical and theoretic modules
Guided career sessions
MODULES
Designed to explore beyond subject knowledge
Statistical Analytics
This module will get students familiar with basic statistical concepts and applications for collection, analysis and interpretation of data for decision making using data.
Data Analytics
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.
Machine Learning
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.
Cloud Computing
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 Campus aims to bridge the education to career divide by adequately preparing students with the skills and knowledge to enter high-demand technology fields.
Internet of Things
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.
App Development
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.
Project Management
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.
Data Visualisation
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.
Full programme structure & learning outcomes
Get details and learn about the advantages of learning with LSBF.
what to expect
Prepare for a Career in Data Analytics
Programme Aims
Develop students’ competence and practical skills in big data management.
- To lay the foundation for future pathway and continuing professional development.
- To provide students with the relevant knowledge and understanding of big data management as it relates to the wider business context
- The knowledge and skills that will enable them to follow a career in all areas of business analytics and a wide range of careers in business, finance, marketing, logistics and administration.
Learning Outcomes
Demonstrate relevant business analytics knowledge and understanding of the basic principles of big data management which will equip them with an awareness of the operation of analytics in all aspects of their careers
- Demonstrate proficiency in identifying analytical issues and know how to use their knowledge effectively across a range of problems
- Interpret situations which require analytical input and contribute meaningful and calculated solutions in a timely manner
- Effectively communicate information, arguments and analysis in a variety of forms to specialist and non-specialist audience
- Demonstrate cognitive skills of critical thinking, analysis and synthesis
- Demonstrate effective problem solving and decision making using appropriate quantitative and qualitative skills including identifying, formulating and solving problems
- Take and demonstrate responsibility for their own learning and continuing personal and professional development
- Undertake further training, develop existing skills and acquire new competences that will enable them to assume significant responsibility within organisations
Skills you will acquire
$92,000+
median Singapore salary for Accounting
483,000+
Singapore job openings in Accounting
75%
of graduates report positive career outcome
programme structure
Mode of Delivery
Lectures, Tutorial, Seminars, Workshops, Case study and Exercises , Group work project and presentations, Computer Exercise, Class Discussion
Module delivery details
BLENDED LEARNING
Module | Lecture/Lab | Tutorial & Student Support Time | Test & Exam | Self Regulated Learning & Independent Learning | Assignment/Test/Exam Assessment Preparation | Total |
All Modules | 30 | 15 | – | 75 | 80 | 200 |
BYOD- Bring Your Own Device
Students are expected to:
- Own software for MS Office Suite (Word, Excel, PowerPoint, and Outlook) and MS WIN 10 operating system
- Provide their own computer having the following configuration
Component | Minimum | Recommended |
Processor | 1.6 GHz or faster, 2-core Intel Core i5 or equivalent | 1.8 GHz, 2-core Intel Core i5 or equivalent |
Memory | 6 GB RAM | ≥8 GB RAM |
Hard Disk | 256 GB disk size | Sufficient free space to install trial software to be downloaded |
Display | 1280 x 768 screen resolution (32-bit requires hardware acceleration for 4K and higher) | – |
Attendance requirements
International Students: 90%
Local, PR, non-student pass: 75%
Assessment, graduation and awards
Denotes AWS-Amazon Web Services certification. Students may advance themselves to attempt the AWS Certification examination and will be awarded a certificate meeting the AWS Educate Certification examination requirement.
Assessment methods may vary according to individual module requirements and each module is assessed by:
- Continuous assessment, Formative and Summative Assessments
- Any combination of class participation, group or individual applied assignments, online quizzes/online tests, portfolios.
- Each module consists of two Online Tests (40%) and an Individual Applied Assignment (60%)
Students must achieve an overall passing grade of 40%. If students fail to achieve an overall passing grade of 40%, students will be permitted one retake attempt in each failed assessment, and failure of this retake will require students to re-module the failed module(s) again in full prior to an additional retake attempt.
Teacher Student Ratio
1 : 40
Programme Structure & modules
The module is successfully completed upon fulfilling the programme and module duration. Students will attend the scheduled number of study terms for the timetable provided and successfully completing all the modules.
Prospects may enrol into individual modules as a short course fulfilling both the admissions and assessment requirements. Students are given the flexible learning option to study at their own pace by taking the required modular courses that make up the various certificates to meet their needs.
- Students will receive a Micro certificate/ Nano degree.
- Each micro certificate/nano degree is a recognition of the knowledge and skills students have required, making them ready for certain types of job roles.
- Students can complete any modules in any order at their convenient time that will stack up towards a Diploma qualification.
STUDENT SUPPORT SERVICES
Why choose LSBF for your education
Study Materials
Students will receive study materials after they have made full payment for their programme. Replacement of study materials is subject to additional charge.
Student Portal
Students have access to the Student Portal. It is a useful site where the course information and learning materials are available for students’ easy reference.
Accessible Faculty
Students may contact their lecturers directly via email outside the lecture hours for any academic related queries.
Recorded Lectures
We will show compassion and care to all stakeholders as we believe the journey is as important as the outcome.
ELIGIBILITY
Who can apply for this programme
Local students Entry Requirements
Minimum Academic Requirement:
- At least two passes in GCE ‘A’ Level
- International Baccalaureate (24 points)
- Local Polytechnic Diploma in any field
Minimum English Language Requirement:
- Achieved grade C6 or better in English language in GCE O level
- Pass in English Language in Year 10 High School qualification or equivalent
- IELTS 5.5/TOEFL 550
- Completed LSBF Preparatory Course in English Upper Intermediate Level
Minimum Age
18 years old
Students with non-standard entry requirements (e.g. other PEI qualification etc) will be assessed on a case-by-case basis subject to approval of the Academic Board.
international students Entry Requirements
Minimum Academic Requirement:
- Completion of Year 12 High School Qualification or equivalent qualification from respective home countries
- Completed International Baccalaureate (24 points)
- Equivalent Local Polytechnic Diploma in any field in respective home countries
Minimum English Language Requirement:
- Achieved grade C6 or better in English language in GCE O level
- Pass in English Language in Year 10 High School qualification or equivalent
- IELTS 5.5/TOEFL 550
- Completed LSBF Preparatory Course in English Upper Intermediate Level
Minimum Age
18 years old
Students with non-standard entry requirements (e.g. other PEI qualification etc) will be assessed on a case-by-case basis subject to approval of the Academic Board.
TUTION FEES
(Prices inclusive of GST)
SGD $6,104.00
(local students)
SGD $8,074.07
(international students)