MSc Data Science - Singapore Campus - Amity Global Institute
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Master of Science Data Science

Master of Science Data Science

Teesside University

Contact our friendly and experienced programme consultant, Dr Gavin, by email at cswgavin@singapore.amity.edu or by Phone/WhatsApp at +65 8181 8052.

Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This field is central to a multitude of professions and is integral to informed decision-making in technology, business strategies, national policies and more. 

Some examples of professions that make use of data science include: data analysts in healthcare, who use patient data to improve treatment outcomes; financial analysts employing algorithms to predict stock market trends; marketing professionals analysing consumer behaviour to craft targeted advertising strategies; and urban planners optimising traffic flow and public transportation systems. The Masters in Data Science programme in Singapore equips graduates with the specialist skills and knowledge to make an immediate and meaningful contribution by facilitating data-driven decisions in a range of industry environments.

Programme Overview

Awarding authority Teesside University, UK
Academic Year/Time Schedule/Programme Duration Duration of course is 1 year
Mode Full Time / Part Time
Teaching Amenities, Facilities etc Lecture rooms, Library, Computer lab, Student lounge
Intake Feb/May/Aug/Oct 2024

 

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Programme Objective

The Master of Science in Data Science programme in partnership with Teesside University is designed to advance the analytical and technical skills of professionals beyond the foundational knowledge acquired in a Bachelor’s degree. This programme focuses on deepening expertise in data science methodologies, enabling graduates to tackle more complex challenges and lead innovative projects within their fields. 

The MSc in Data Science emphasises advanced research, specialised techniques, and the application of data science in solving real-world problems at a strategic level. Graduates are thus prepared not only to contribute but to drive decision-making processes and foster innovation in their respective fields.

What to Expect

With a Masters in Data Science, you will delve into the underpinnings of data collection, management, and analysis, learning how to:

  • Understand the theoretical background processes for efficient collection, management, secure storage and analysis of large data sets
  • Formulate hypotheses about data and develop innovative strategies for testing them by implementing appropriate algorithms to analyse both large and small datasets
  • Extract valid and meaningful conclusions from various types of large data sets that can support evidence-based decision making
  • Communicate approaches and solutions to data science problems to a range of audiences in a variety of modes
  • Identify, select and use appropriate open source and proprietary data management and analysis tools to identify patterns or relationships in large volumes of data 

The learning method for this data science course includes keynote lectures from industry guest speakers, as well as tutorials with case studies to illustrate real-world applications of data science. Students will develop their own advanced reflective practices for problem-solving, and assess their solutions against their own research criteria. This approach ensures a deep understanding of data collection and analysis, preparing graduates to lead in the field.

Course Structure & Duration

The Master of Science in Data Science programme is meticulously structured to encompass critical areas of the field, ensuring students develop a comprehensive understanding and practical skills. The core modules are:

Big Data and Business Intelligence: Focuses on the system development life cycle for large scale database applications and services, emphasising the management and visualisation of data for business intelligence.

Data Visualisation: Explores a wide range of charting methods, from traditional bar and pie charts to more innovative stream graphs and tree maps, to represent and interpret quantitative data.

Interactive Visualisation: Teaches dynamic data exploration through interactive graphics, using JavaScript libraries like D3.js to create animated web visualisations that reveal multidimensional data patterns.

Statistical Methods for Data Analytics: Covers essential statistical techniques for both quantitative and qualitative data analysis, preparing students for experimental work with a focus on correlation and regression.

Research Methods: Prepares students for their master’s project with skills in academic research, evidence material generation, and evaluation of professional practice within computing disciplines.

Machine Learning: Introduces students to computational models for pattern recognition and prediction, essential for tasks where algorithmic solutions are unknown or there is a need to adapt to new data.

Computing Masters Project: An in-depth individual study in a specific computing area, leading to the creation of a significant deliverable, such as software, design, prototype, or research findings.

Students can choose from two distinct routes to earn their MSc in Data Science:

Route Duration Starting Month
Full-time/Part-Time 1 year Feb/May/Aug/Oct

Regardless if you opt for a full-time or part-time programme, all students receive the same comprehensive coverage of modules, access to lectures, and tutorial materials, ensuring that every graduate is equally prepared for the demands of a career in data science.

Admission Eligibility

Eligibility Criteria Requirements
Age Requirements 20 years old
Academic Requirements An honours degree with a minimum grade-point average of 2.7/4.0
English Requirements
  • If your first language is not English, you will need an IELTS score of 6.0 equivalent with no component below 5.5  
  • Singapore-Cambridge GCE ‘O’ Level English – Grade C or above for all entries  
  • Other English requirements are per Teesside University’s entry requirement  
Mature Applicants Candidates who are at least 30 years of age with at least 8 years of working experience. To qualify as a mature candidate, you are required to submit a Personal Statement of not more than 200 words and 2 Referee Reports from at least one employer. Shortlisted applicants may be required to attend an interview.
Accreditation of Prior Learning (APL) / Credit Exemption Subject to University/Academic approval.

 

MSc Data Science Course Fees & Curriculum Structure

Course Application Fee
Course Application Fee* Local Students : S$150 (Onetime Only)
International Students : S$450 (Onetime Only)
Note:
– Course application fee is non refundable.
– Fees indicated are exclusive of GST.
Fees Breakdown Total Payable
  Local International
Tuition Fee S$22,000 S$22,000
Total Course Fees Payable S$22,000 S$22,000
Note:
  1. Course Fee is inclusive of Tuition Fees & Exam Fees (one time)
  2. FPS Insurance premiums are paid by Amity, unless stated in the Student Contract which has to be paid by the student separately.
  3. Fees indicated are exclusive of GST.
  4. Fees indicated are exclusive of Non-Tuition Fee of S$ 1580.
  5. For Miscellaneous Fees: Click Here
  6. Click Here for more information on the Mode of Payment.
Module Titles Credits
Big Data and Business Intelligence 20
Data Visualisation 20
Interactive Visualisation 20
Statistical Methods for Data Analytics 20
Research Methods 20
Machine Learning 20
Computing Masters Project 60

View Module Descriptions

For more information please refer to https://www.tees.ac.uk/

Career Prospects

A Masters in Data Science opens doors to a variety of exciting career opportunities, ranging from data analysis and business intelligence to specialised roles in finance, healthcare, and supply chain management.

  • Data Scientist/Analyst
  • Operations Analyst/Manager
  • Business Intelligence Analyst
  • Financial Analyst
  • Supply Chain Analyst
  • Healthcare Data Analyst
  • Consultant in Data Science and Analytics

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Amity Global Institute Pte Ltd complies with Personal Data Protection Act 2012 (PDPA) of Singapore.

Frequently Asked Questions About MSc in Data Science

To apply for Masters in Data Science in Singapore, visit the Amity Global Institute website and navigate to the “Apply Now” section. 

Fill out the application forms with your details, attach any required documents, and our team will get back to you shortly regarding your application.

Intake months for data science courses are in February, May, August and October. We recommend contacting our friendly and experienced programme consultant, Ms Landy, by email at fllandy@singapore.amity.edu or by Phone/WhatsApp at +65 8181 8550 to discuss the specific deadlines for each intake period, and to clarify any questions you may have.

Yes, there is a non-refundable course application fee. This fee is exclusive of GST and covers the administrative costs of processing your application. 

Local students: S$150 (one time only)

International students: S$450 (one time only)

It is advisable to apply for the Masters in Data Science programme at least three months before the intake month to allow sufficient time for application processing, decision notification, and any necessary visa arrangements if you are an international student).

You can check your application status by contacting our Singapore admissions office.

Phone: +65 6602 9500

Email: info@singapore.amity.edu

Fax: +65 6602 9509

There are no differences in total payable course fees between local and international students. Both local and international students will have to pay a total course fee of S$22,000 (Excl. of GST and Non-Tuition Fees) for the MSc in Data Science. 

However international students will have to pay a one-time course application fee of S$450, while local students will have to pay a one-time course application fee of S$150.

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