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![]() Bachelor of Science (Honours) Data Science and Analytics (Top-up) (Part-Time)Provided by: Kaplan Higher Education AcademyAwarded by: University of PortsmouthCourse IntroductionBig business, social media, finance and the public sector rely on Data Scientists to analyse data and draw out valuable insights that will benefit the business. With this BSc (Hons) Data Science and Analytics (Top-up) Degree programme, you will acquire technical and analytical skills to make sense of the vast data available to organisations, while working within the regulatory and technical boundaries of the field. Curriculum OverviewThis Degree programme may be completed in a minimum of 18 months on a full-time basis.
Entry RequirementsMinimum Entry Requirements:This Degree programme accepts a wide range of qualifications. These include:
In all cases, the final decision on admission to the programme rests with the University. English Requirements: Students are required to meet the University’s English language requirement. For more information, please click: https://www.port.ac.uk/study/international-students/your-country/singapore Fees & FundingTuition FeesThe total fee covers University registration, lectures/tutorials/workshops and assessments such as assignments/tests/examinations/projects (where applicable), programme materials in digital format, Degree (if earned) and transcript.
Choice of flexible repayment schemes available to suit your needs:
Please click here for more information on Maybank Education loan and here for OCBC Frank Education loan. T&Cs apply, subject to bank’s approval. Non-Tuition Fees Non-refundable application fees are as follows:
All fees are subject to change annually. The fees above have been updated, and are accurate as of 28 January 2021. For more information about the programme, please contact our programme consultant. Study Mode & DurationDelivery MethodThis programme consists of 11 modules and may completed in a minimum of 18 months. Classes are conducted during daytime on weekdays. The actual cycle may vary depending on the nature of the programme and the lecturers’ availability. The University and Kaplan reserve the rights to alter the learning cycle, days and timing of the seminar, if necessary. Assessment Methods Each module is assessed by any combination of class participation, written assignments, projects and examinations. Assessment methods may vary according to individual unit requirements. |
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