Diploma in Data Analytics

Course overview

Statistics
Qualification Diploma
Study mode Part-time
Duration 12 months
Intakes January, April, July, October
Tuition (Local students) RM 18,919
Tuition (Foreign students) RM 28,028
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About

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.

The main aim of the Diploma in Data Analytics is to give students the knowledge and practical insight into the workings of the business analytics industry. In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. Holders of the Diploma will be able to demonstrate detailed knowledge and critical understanding of the major concepts in big data management. 

The Diploma in Data Analytics aims to:

  • 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.

Admissions

Intakes

Fees

Tuition

RM 18,919
Local students
RM 28,028
Foreign students

Estimated cost as reported by the Institution.

Application

RM 304
Local students
RM 1,135
Foreign students

Student Visa

RM 315
Foreign students

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Entry Requirements

Minimum Age:

  • 18 years

Local students shall possess one of the following:

  • At least two passes in GCE ‘A’ Level
  • International Baccalaureate (24 points)
  • Local Polytechnic Diploma in any field

International students shall possess one of the following:

  • 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

AND

Both local and international students MUST fulfil the minimum English language entry requirement of one of the following (except Mandarin programmes):

  • 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

Students with non-standard entry requirements (e.g. other PEI qualification, lack of equivalent Year 12 in home country, etc.) will be assessed on a case by case basis subject to approval of the Academic Board.

Curriculum

  • Statistical Analytics
  • Data Analytics
  • Machine Learning
  • Cloud Computing
  • Internet of Things
  • App Development
  • Project Management
  • Data Visualisation
     

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