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Bachelor of Science (Honours) Data Science and Analytics (Top-up)

Provided by: Kaplan Higher Education Academy
Awarded by: University of Portsmouth

Course Introduction

About the Programme
Enrol in our Bachelor of Science (Honours) Data Science and Analytics (Top-up) programme and gain expertise in analysing vast data sets—a highly sought-after skill across all sectors. From global businesses to healthcare and climate change initiatives, data driven decision-making is crucial. Learn modern big data techniques, machine learning and data mining.
With a 50% hands-on learning approach1, you will learn how to utilise databases and analytical tools like the Relational Model, PostgreSQL and Tableau to identify insights and trends that benefit businesses and drive positive change in diverse fields.
1Our IT programmes are designed with about 50% practical and 50% theory classes but may be subject to change.
Graduation & Degree Awarded
Students who successfully complete and pass the modules stipulated in the programme structure will be awarded the Bachelor of Science (Honours) Data Science and Analytics from University of Portsmouth, United Kingdom.
The Degree will be the same as that awarded to the on-campus graduates in the United Kingdom.

Curriculum Overview

There are 2 intakes per year.
  • June
  • December
    Please contact our programme consultant to obtain a copy of the class schedules.
Minimum Class Size
  • 20 students
    Class may commence with fewer students than indicated above, subject to resource availability. In the event of cancellation, you will be notified at least 1 week before the programme commencement date, stated in your student contract with Kaplan, and our consultants will contact you to advise on a backup plan.

Area of Studies

Core Modules
  • Applied Machine Learning and Data Mining
  • Big Data
  • Data Structures and Algorithms
  • Database Principles
  • Software Engineering Theory and Practice
  • Ethical Hacking
  • Business Analytics
  • Open Innovations in Data Science
  • Malware Forensics
  • Internet of Things
Elective Modules
  • Project Module (Choose 1 module among 2)
    • Individual Project (Engineering)
    • Final Year Study Project

Entry Requirements

Academic Requirements
This Degree programme accepts the following qualifications, which includes:
  • Polytechnic Diploma
  • Kaplan Diploma
  • Other private Diplomas and/or foreign qualifications will be assessed on a case-by-case basis
Applicants admitted to the programme may be required to undertake bridging modules to fulfil the required prerequisite knowledge.
English Language Requirements
  • IELTS score of 6.0, with no component less than 5.5 OR
  • Successful completion of an approved Diploma qualification or higher, where the language of instruction was English can be considered
  • Applicants are required to meet the University’s English language requirement. 
In all cases, the final decision on admission to the programme rests with the University.
Working Experience
  • When required, work experience will apply as part of the admissions process. Applicants seeking recognition of experiential learning are required to provide a portfolio of evidence in accordance with the University’s Recognition of Prior Learning policies and practices. Any assessment on work experience and decisions on related admissions will be conducted by the University and will, where appropriate, lead to the recognition of the achievement of learning outcomes and the award of the University Credit.

Fees & Funding

Tuition Fee
The total tuition fee covers university registration, lectures/tutorials/workshops and main assessments such as assignments/tests/examinations/projects (where applicable), programme materials in digital format, Degree (if earned) and transcript.
S$25,914.75 payable in 6 instalments 
Fee inclusive of 9% GST (applicable on or after 1 January 2024)
Receive a S$400 referral fee when you recommend a friend to enrol in our Degree programme*.
Non-Refundable Application Fee
Fee inclusive of 9% GST (applicable on or after 1 January 2024)
Student Development Fee
Fee inclusive of 9% GST (applicable on or after 1 January 2024)
*Payment for this fee will be included in the first instalment.
The Student Development Fee covers the provision of a comprehensive range of initiatives aimed at enhancing the career and industry-readiness of Kaplan students, such as programmes aimed at improving interpersonal skills, technical and digital skills, as well as career advisory and job matching services.
All fees indicated are inclusive of Goods and Services Tax (GST) at the prevailing rate of 9%. For more information on the GST revision, please refer to the Inland Revenue Authority of Singapore (IRAS) website. Please refer to the official price list for a detailed breakdown.
Fees remain subject to change. Applicant will be charged the prevailing fees and GST at the time of application. For more information about the programme, please contact our programme consultant.

Study Mode & Duration

  • 18 months
Maximum allowed candidature period
  • 96 months
    If a student fails to complete the programme within the candidature period, they will not be entitled to any recourse or refund.
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