Sunway University Online Master of Data ScienceMaster a world of data

JPT/BPP(U)(N-DL/481/7/0824/PA14838)08/26

Drive.Unlock data-driven opportunity in a connected modern world.

Analyse. Leverage complex real-time insights for informed decision making.

Transform. Unleash your potential with effective and ethical data use.

Achieve. Build a strategic understanding of data for personal and business success.

Table ofContentsIntroducing our Master of Data Science

Benefits of a Master of Data Science

What online learning means

Connect to your potential

Learn from the experts

Meet the programme director

How it works

Inform your success

Costs and eligibility

Invest in your future

Subject descriptions

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The Sunway University Online Master of Data Science is Malaysia’s first 100% online data science programme.

Introducing ourMaster of Data Science

In this pioneering programme, be guided by a team of passionate academics with extensive industry experience in real-world data science applications.

This programme is designed to empower you with concepts, theories, and tools of data science, enabling you to connect an understanding of the discipline with benefits to your career and business. Learn to apply data-driven insights alongside technical and managerial capabilities, demonstrating value across industries and providing a platform of informed insights to guide decision-making and unlock emerging opportunities.

Total tuition fee: MYR 40,000

6 entry points per year

1 subject at a time in 7-week blocks

6 subjects per year (maximum)

2 years total programme time

100% online

Part-time studyleaving room for work

No limiton student location within Malaysia

Anytime, anywhere, on any device

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A Master of Data Science at Sunway University Online unlocks the power of data to transform your potential and provides an exciting pathway to expanding career opportunities.

Data science expertise is a high-demand skill set in industries from oil and gas to healthcare, financial services to exciting new digital platform ecosystems. You will develop both the technical know-how and business understanding to thrive in a world of data.

Benefits of a Master of Data Science

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Are you ready to unleash your data potential?

Unlock new job opportunities Master the tools to lead in a data-driven world and excel both in new roles in existing industries alongside exciting emerging roles.

Excel at analysis Embrace critical analysis skills to inform your success in a data-rich business landscape.

Manage a world of data Develop your ability to manage and communicate complex data insights.

Build ethical practice Become a sustainable leader with an understanding and awareness of appropriate and ethical data use.

What does online learning mean?We recognise the time pressures that working professionals face. That’s why, at Sunway University Online, we’ve designed a unique, 100% online Master of Data Science that provides all the educational support of on-campus learning, with the flexibility to fit your busy lifestyle.

You will gain access to thought-leading data science education anytime, anywhere, on the device of your choice. That means all the learning content and support to succeed is at your fingertips. Just sign up, log on and enjoy the benefits of world-class education.

Intuitive online learning experienceBetter work-life-study balanceFit study around your lifestyleInteractive online sessionsDigital engagement with peersComprehensive online support

At Sunway University Online, we are committed to making online learning as engaging and inspiring as on-campus study.

Unlock your data-driven future with a flexible degree that’s perfect for our modern digital landscape.

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Connect toyour potentialData is the foundation of modern opportunity. Business and society are transforming into connected, data-rich landscapes where complex data insights and informed decision making are crucial drivers of success.

The ability to extrapolate, analyse, understand data and turn it into actionable insights and recommendations for senior leadership is an in-demand skill that will unlock remarkable employment opportunities and boost your career potential.

1 WEF Data Science In the New Economy2 UOB ASEAN Consumer Sentiment Study3 McKinsey & Co (McKinsey), Automation and adaptability: How Malaysia can navigate the future of work4 IDC Worldwide Semiannual Big Data and Analytics Spending Guide5 LHH Jobs Bulletin

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Embrace a future of opportunity

In 7 out of 12surveyed industries globally, data

analysts and data scientists were the top-ranked roles that business leaders

planned to hire in coming years1.

Stay ahead of the competition

Inform your future Rapidly expanding industry potential

By 2022, IDC estimates the big data and business analytics industry will bring in

91%of Malaysian employees see the

need to reskill or upskill2.

Experts predict that between 3.3 million and 6 million jobs³

will be created in Malaysia thanks to Industry 4.0.

USD274 billion4, a 62% increasefrom 2018.

Accelerate your earnings

Data scientist salaries are one of the fastest- growing of any role, with one US study showing

12.8% annual salary growth from 2019 to 20205.

Learnfrom the expertsSunway University Online is a world-class institution which boasts a respected global reputation.

QS five-star rated institution6

Ranked Malaysia's top private university7

In the top 1.5% of Asian educational institutions8

Recognised as a Premier Digital Technology University9

Passionate academics with extensive global experienceRespected thought leadership from industry expertsData-driven education founded on real-world experienceComprehensive support from Student Success AdvisorEducation that emphasises peer networks and support Provisionally MQA accredited

Sunway University Online Master of Data Science provides real-world understanding, delivered by an experienced team of educators and industry experts.

6 Quacquarelli Symonds (QS) World University Rankings7 Times Higher Education (THE) Impact Rankings 2021

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8 QS Asia University Rankings 9 Malaysian Digital Economy Corporation (MDEC) assessment

Meet theprogramme director

Ts.Dr. Angela Lee Siew Hoong is an Associate Professor and Programme Lead for BSc (Hons) Information Systems (Data Analytics) in the School of Science and Technology, Sunway University. She holds a BSc (Hons) in Business Information Technology, Master of Science in E-Commerce, Postgraduate Certificate in Academic Practice, and a PhD in Computing. She also completed the Wharton School of the University of Pennsylvania Business Analytics Specialisation course and has subject expertise in data knowledge and analytics mindset to describe, predict and inform business decisions using big data in IT, marketing, human resources, finance, and operations.

She serves in editorial and reviewer board for several international journals, including Journal of IT in Industry, Journal of Information and Knowledge Management Systems, Journal of Information and Management and has been published in Knowledge Management Systems, International Journal of Machine Learning and Computing, International Journal of Advanced Computer Science and has forthcoming publications in Harvard Business School Entrepreneurial Management and others. She is involved in several committees and memberships such as the IEEE Big Data Technical Committee, the Association of Information Systems and Institute of Electrical and Electronics Engineers (IEEE), Fellow of the Higher Education Academy UK, representing Malaysia in the International Federation for Information Processing (IFIP) and was one of the founding members of SAS user group Malaysia. Her current research interests include sentiment analysis and opinion mining, data mining, technology adoption, and organisational knowledge sharing, and is the principal investigator for several grants and industrial projects in the areas of analytics and organisational knowledge-sharing.

Ts.Dr. Angela Lee Siew Hoong,

Associate Professor and Programme Lead

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How it worksSunway University Online Master of Data Science delivers a world-class learning experience that offers flexible education and engagement for ambitious modern professionals.

Subject Description Credit

Principles and Practices of Data Science

Develop your fundamental of the principles of data science and key subject concepts. 3

Programming for Data Science

Understand the basic principles of programming for data science and collection, storage, organisation,

management and analysis of data.3

Data VisualisationBuild an understanding of visualisation of

complex datasets and skills necessary to clearly communicate this information.

3

Statistical Methods for Data Science

Explore statistical techniques inherent in data science to analyse data and produce results with

the use of statistical programming.3

Data Mining Learn how to practically apply the knowledge and skills of data mining. 3

Big Data ManagementGet to grips with big data modelling and

large-scale data management in distributed and heterogeneous environments.

3

Research MethodologyLearn how to design and implement scientific research projects for the eventual completion

of a research thesis.3

Forecasting Analytics Develop an understanding of predictive tools and their application in forecasting analytics. 3

Deep Learning for Data Science

Understand techniques and processes for deep learning and the development of neural networks. 3

Cloud Infrastructure and Services

Explore the field of cloud infrastructure, enabling technologies, building blocks and hands-on experience through projects utilising public

cloud infrastructures and services.

3

Core Subjects

6 entry points per year

7 weeks per subject

6 subjects per year (maximum)

10 core subjects

2 capstone project subjects

Research Project

Subjects Description Credit

Data Science Capstone Project 1

and 2

Build on subject knowledge to study and investigate a topic of interest related to data science. Identify a problem area, work with

stakeholders to explore the topic and undertake appropriate analysis to solve the defined

problem through data science techniques within the specific domain area.

5 each

Capstone Project

Alongside ten core subjects, the Sunway University Online Master of Data Science also includes a double-value research project, enabling you to apply the knowledge gained during your studies to a real-world scenario.

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Inform yourroute to success

Boost earnings potential Develop sought-after skills that unlock new and emerging job opportunities that enhance your earnings potential.

Empower your learningBenefit from passionate academics and global industry experts to power up your understanding.

Thrive with flexibilityLet your education flourish with flexible study that fits into your busy life schedule.

Support when you need it Enjoy comprehensive end-to-end support through the learning journey with a Student Success Advisor.

“The ability to take data—to be able to understand it, to process it, to extract value from it, to visualise it,

to communicate it—that’s going to be a hugely important skill in the next decades.”

Hal Varian, Chief Economist at Google.

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Data powers our modern digital society. It informs our businesses and underpins our connected global economy.

Inform your future with a Master of Data Science from Sunway University Online and connect to remarkable potential in our transforming world.

Cost and eligibility

Fees Intake Programme length

MYR40,000 total cost.

Six entry points per year in Jan, March, May, July, September and October.

The first entry point will be in January 2022.

10 core subjects +

2 capstone project subjects

Entry requirements

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A bachelor’s degree in Information Technology, Computer Science, Software Engineering, Business Information Systems, Analytics, Cyber Security or equivalent

with a minimum CGPA of 2.75 out of 4.00 or its equivalent qualifications.

OR

A bachelor’s degree in Information Technology, Computer Science, Software Engineering, Business Information Systems, Analytics, Cyber Security or equivalent with a minimum CGPA of 2.50 and not meeting 2.75 out of 4.00, subject to rigorous

internal assessment process.

OR

A bachelor’s degree in Information Technology, Computer Science, Software Engineering, Business Information Systems, Analytics, Cyber Security or equivalent

with CGPA lower than 2.50, with at least 5 years of relevant work experience.

OR

An APEL-A Certification (APEL T-7) (Recognition of Prior Learning)

AND

English Language Requirement: Applicants whose medium of instruction for their first degree was not English will be required to provide evidence of language ability via an IELTS (average score of 6.5) or TOEFL (score of 600 - paper-based or score

of 250 - computer-based) test result.

1. Take your free eligibility assessment: Email us your resume, bachelor certificate, bachelor's transcript (or APEL.A certificate) and, if available, your IELTS/Toefl test result to eligibilitycheck@studyonline.sunway.edu.my

2. Tel: 1800 180 029 (International: +60 3 2705 2663) to discuss your eligibility, the application process and any questions you might have.

3. Submit application: As soon as your dedicated Student Enrolment Advisor confirms your eligibility for the programme, you can submit your application. Find more information on what documents are required on the next page.

Next Stepsto get you started

Schedule a call

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Apply Now

If you prefer to communicate with your Student Enrolment Advisor exclusively via email, please mention this when sending your documents to:

eligibilitycheck@studyonline.sunway.edu.my

If you choose this preference, we will provide the result of your eligibility check and any information via email.

We highly recommend you speak with us on a call to give you the best possible chance of success on your journey to further study. Click Here to find out why it is important to speak with your Student Enrolment Advisor.

You will need to supply the following documents with your application:

1 recent passport-format digital photograph Certified true copies of academic qualifications Bachelor’s or APEL-A Certification (APEL T-7) (Recognition of Prior Learning) Resume (if application based on work experience) IELTS/TOEFL test results if your bachelor was not taught in English (IELTS average score of 6.5, or TOEFL score of 600 - paper-based or score of 250 - computer-based – no older than two years)

Documentsrequired

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Book your English language test with

IDP

or

The British Council.

SubjectDescriptions

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Principles and Practices of Data Science

Subject Overview

This subject is designed to help you understand the field and nature of data science. It covers the 5W (What, When, Who, Where, Why) and 1H (How) of elements of data science in the era of big data.

The subject also establishes the fundamental knowledge of data science that underlines different types of machine learning algorithms, processes, analytics life cycle, data science thinking concept, data warehousing and ETL. It will also explore the importance of connecting business intelligence (BI) systems with other information systems, and the importance of, and issues in, integrating BI technologies and applications.

Apply major concepts, theories, models and methods in data science to generate solutions to some characteristic problems. Evaluate the suitability of different types of machine learning algorithms to investigate a range of data science and business intelligence problems.Plan a data science project on a new application area using a complex and integrative knowledge of the data lifecycle and analysis process, including data warehousing and data mining.

Learning Outcomes

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Programming for Data Science

Subject Overview

This subject will provide you with a basic introduction to programming for data science. It will cover topics related to the collection, storage, organisation, management and data analysis, both structured (record-based) and unstructured (such as text).

Use a programming language to perform data handling tasks. Appraise the suitability of different analytical approaches for investigating data science problems. Design, implement and test programs to retrieve, manage and analyse multiple data formats from various sources.

Learning Outcomes

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Data Visualisation

Subject Overview

This subject will teach you all about data and the art and science of turning data into readable graphics. The subject explores the principles and techniques for visualisation to transform and model large datasets to aid knowledge discovery and decision making.

You will learn the principles, techniques and practical skills necessary to communicate data insights clearly and effectively through data visualisation. You will also be exposed to methods for acquiring, parsing, analysing and visualising different data types, including multivariate, temporal, text-based, spatial, hierarchical and network/graph-based data.

By the end of the subject, you will implement and apply the theory and use tools to communicate information out of data clearly and effectively through graphical means.

Conduct exploratory data analysis using visualisation to investigate some characteristic data science problems. Apply knowledge of perception and cognition to evaluate visualisation design alternatives. Create data visualisations that communicate effectively to key stakeholders in a range of data science and business contexts.

Learning Outcomes

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Statistical Methods for Data Science

Subject Overview

This subject will introduce you to statistical techniques inherent in data science that will enable you to analyse data and produce results using statistical programming.

Upon completing the subject, you will demonstrate a conceptual understanding of statistical inference and modelling for informed decision making and communicate the statistical results effectively.

Interpret descriptive statistics to analyse and evaluate data science problems. Conduct inferential statistics procedures to arrive at logical conclusions in problem-solving. Apply statistical programming to analyse data for problem-solving.

Learning Outcomes

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DataMining

Subject Overview

This subject will teach you how to practically apply the knowledge and skills of data mining. It will explore the skills of using, analysing, comparing and interpreting exploratory and predictive data models. It will include analysis of case studies and implementation of data modelling applications.

Apply and evaluate data understanding and preparation in data mining processes. Evaluate, compare, interpret and select data models for knowledge discovery. Implement exploratory and predictive modelling techniques using data mining tools for knowledge discovery.

Learning Outcomes

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Big DataManagement

Subject Overview

This subject will equip you with the skills and understanding to perform big data modelling and large-scale data management in distributed and heterogeneous environments.

You will also learn the principles of big data management, gaining the experience and understanding to prepare you for a career as a data scientist, independent of continuous technology changes.

Understanding of principles of big data management.Apply the state-of-the-art representation formalisms to develop storage and management solutions for big data. Develop the ability to model big data with schema languages.

Learning Outcomes

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ResearchMethodology

Subject Overview

This subject equips you with skills in designing and implementing scientific research projects for the eventual completion of a research thesis at the doctoral level.

The subject covers quantitative, qualitative and mixed research methods, as well as sampling concepts, quantitative data collection, applied and descriptive statistics for conducting meaningful research. You will also work through writing workshops to enhance your thesis writing skills.

Justify research methods for data analysis and interpretation to carry out research in data science. Design a plan for a scientific research project in the area of data science. Design a research project.

Learning Outcomes

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ForecastingAnalytics

Subject Overview

This subject will introduce you to data pre-processing, over-fitting and model tuning. This will enable you to measure performance in regression models, linear regression models, non-linear regression models, regression trees and rule-based models, measuring performance in classification models, discriminant analysis and other linear classification models.

Develop an understanding of predictive tools and their applications. Evaluate various predictive techniques. Enable inference of use of predictive modelling in various industries.

Learning Outcomes

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Deep Learning for Data Science

Subject Overview

This subject equips you with the foundations of deep learning and an understanding of how to build neural networks. You will also learn how to lead successful commercial data science projects using deep programming frameworks.

Evaluate the suitability of deep learning techniques to investigate different data science or business problems. Investigate a specific data science or business problem using fundamental knowledge of deep learning methods, tools and techniques. Design a deep learning solution for a specific data science or business problem.

Learning Outcomes

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Cloud Infrastructure and Services

Subject Overview

This subject will provide you with an overview of the field of cloud infrastructure, its enabling technologies, main building blocks and hands-on experience through projects utilising public cloud infrastructures and services.

In addition, it will cover the topics of cloud infrastructures, virtualisation, software-defined networks and storage, cloud storage and programming models. The subject will also introduce you to the motivating factors, benefits, challenges of the cloud, service models, service level agreements (SLAs), security and examples of cloud service providers and use cases.

Explain the core concepts of the cloud computing paradigm, including the characteristics, advantages and challenges brought about by the various models and services in cloud computing. Analyse the trade-offs in power, efficiency and cost in cloud infrastructures to build and deploy resilient, flexible, and cost-efficient applications. Evaluate and implement various cloud models and services to solve problems on the cloud.

Learning Outcomes

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Data Science Capstone Project 1 and 2

Subjects Overview

The capstone project provides you with the opportunity to study and investigate in depth a topic of interest related to data science.

You will be expected to select a problem area, typically with access to necessary data and potential stakeholders to carry out the project. Students are encouraged to engage organisations or companies to collaborate on the project.

The capstone project requires students to formulate research questions and hypotheses based on literature review, appropriate methodology and analysis using data science technologies.

The first phase of this research project will focus on literature review, project design and initial development/investigations. The second phase of this research project will focus on its implementation, evaluation and documentation.

Organise relevant literature to make informed choices in planning the project.Critique relevant literature to identify a gap and propose a solution for the identified problem space. Plan a data science project for the identified problem space.

Learning Outcomes- Data Science Project 1

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Develop a data science product that solves a problem in a specific domain area. Assess the best solutions to the identified problem with sound justifications. Communicate with all stakeholders ethically and professionally and confidently defend ideas and research outcomes.

Learning Outcomes- Data Science Project 2

Investin your futureNow is the time to invest in your future and develop skills and experience to succeed in a changing business landscape.

The future doesn’t wait.

Start your journey today.

5, Jalan Universiti, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia

future.student@studyonline.sunway.edu.my

or

eligibilitycheck@studyonline.sunway.edu.my

1800 180 029 (International: +60 3 2705 2663)

studyonline.sunway.edu.my

Schedule a call