Best Data Science Degree Courses at Top Ranked Universities in Malaysia

Study at the Best Data Science or Data Analytics Universities in Malaysia

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The area of Data Science has become increasingly popular in the past few years and job demand as well as salary is high. Furthermore, studying at a Top University in Malaysia for Data Science would ensure that you will receive the best teaching & learning environment and be well equipped with the necessary knowledge & skills for a successful career. Read on to find out more about what is data science, its career and the best private universities to study this course.

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Top Private Universities Offering the Best Data Science or Data Analytics Degree Programmes in Malaysia

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Harold, Diploma in Business IT at Asia Pacific University (APU)

There is a tremendous demand for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. In Malaysia alone, by the year 2020 this need is expected to reach at least 20,000 data professionals and 2000 data scientists. Job demand as well as salary for qualified Data Scientists or Big Data Professionals in Malaysia is high.

Malaysia’s national ICT agency Multimedia Development Corporation (MDeC) has unveiled a plan, supported by seven public and private institutes of higher learning (IHLs), to increase the number of local data scientists from the current 80 to 2000 by the year 2020.

Two of the top award-winning private universities chosen are

  1. Asia Pacific University (APU) – offers the UK Dual Award BSc (Hons) in Computer Science with specialism in Data Analytics
  2. Multimedia University (MMU) – offers the Bachelor of Computer Science (Hons.) Specialising in Data Science.

What is Data Science?

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EduSpiral picked me up from KL Sentral to tour the campus & provided counseling to help me make the right choice.
Qi Leem, Software Engineering Graduate from Asia Pacific University (APU)

Data science, also known as data analytics or data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.

Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the core is data. Millions of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value.

Data Science or Big Data Analytics focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business in Malaysia & globally.

What is Data Science or Big Data and How will it Impact Jobs in Malaysia?

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Seng Foong & Samson, Software Engineering at Asia Pacific University (APU)

Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate—in fact, more than 2.7 zettabytes of data exist in today’s digital universe, and that is projected to grow to 180 zettabytes in 2025.

All this data—from your photos to the Fortune 500’s financials—has only recently begun to be analyzed to tease out insights that can help organizations improve their business. That’s why more organizations are seeking professionals who can make sense of all the data.

Data science, also known as data analytics or data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.

Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the core is data. Millions of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value

Data scientists combine statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently to find patterns, along with the activities of cleansing, preparing, and aligning the data.

Dealing with unstructured and structured data, Data Science is a field that encompasses anything related to data cleansing, preparation, and analysis. Put simply, Data Science is an umbrella term for techniques used when trying to extract insights and information from data.

MALAYSIA has made clear the need to leverage on big data to propel itself into a developed digital economy, with one minister declaring it as key to the nation’s aspirations. The groundwork has been laid down, with the relevant agencies and certain technology multinationals having put their heads together to develop a big data policy framework. There are also plans for the country to appoint a chief data scientist over the next few years, a move aimed at developing local capabilities in data analytics.

In 2015, only 80 data scientists in local industry in Malaysia, targeting 1,500 by 2020. MALAYSIA’S national ICT custodian Multimedia Development Corporation (MDeC) said that seven public and private institutes of higher learning in country will be offering data science courses to university students, graduates and working professionals for careers in data analytics.

Data Science Job has High Demand in Malaysia

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Vickey, Diploma in IT at Multimedia University (MMU)

BIG data seems to be in full throttle, developing exponential growth, looking at the amount of data being generated today. But what is big data? In a nutshell, the word literally means massive amounts of information that cannot be properly processed on a worksheet, database management system or across traditional software that people are accustomed to.

What organisations need to understand is data is no longer the sort of information that is used in the past, such as sales and financial related data, instead, real time information that needs to be constantly captured and analysed. Big data also encompasses analysing massive amounts of information an making good business out of it.

That said, the industry is reported to be lacking in data professionals as big data is a new and complex field. And due to its complexity, big data is not something existing institutions can develop overnight. That is basically why a specialised company like The Centre of Applied Data Science (CADS) is needed. It is the kind of firm that understands the nature of big data, realises the need for a holistic approach towards developing data professionals and is able to see the big picture, including the business that can be churned out of it.

Statistics show that by the year 2020, there will be about two million job openings for data professionals and that the demand for people with this knowledge and skill will outstrip supply by a ratio of two to one. It’s a global phenomena which is already in motion and Malaysia has set its sights on developing 20,000 data professionals and 2,000 data scientists by 2020.

“With a little bit of exposure and information to what big data has to offer and opportunities that lie ahead, this is really going to be one of the most exciting careers in the future, apart from artificial intelligence, robotics and the internet of things. I think a career in big data will easily be among the top 10 in the near future,” said CADS managing director Cheam Tat Inn.

CADS is Asean’s first and only one-stop platform and centre of excellence to empower the next generation of data professionals. Committed to delivering the highest standard in data science education, the centre aims to cultivate and mentor future data professionals to contribute effectively towards organisations in Malaysia and the Asean region, through accelerated and rigorous programmes and mentorship stints, unlike any other presently available in Southeast Asia.

The centre delivers programmes, many of which are through collaborations with a number of world-leading organisations such as the Harvard Business School, which targets top level executives who wish to understand big data analytics and its relevance to their business.

There is also a programme which is delivered in partnership with a company based in New York, called the Data Incubator programme. This programme is locally endorsed by the Malaysia Digital Economy Corporation (MDEC) andHuman Resources Development Fund (HRDF).

There are three main streams data professionals can branch out into – data scientists, data analysts and data engineers. While a career in data engineering would revolve around a job that is quite technical (imagine a mechanic working on a car), he or she is said to look at data a little differently compared to a data analyst, who is trained in programming skills, with a little aptitude in statistics and comes from a mathematical background.

Data scientists also are put on a higher pedestal, as this person is required to deal with higher levels of big data technicality and complexity.

“Soft skills are also very important and is also key in this profession because you need to translate complex situations into simple business language.

“A data professional must be able to take all the information, develop a mathematical formula, come up with a conclusion and present it to the top management – that is the skill required,” Cheam stressed.

To date, CADS has developed more than 750 data professionals and is looking at establishing more partnerships. Their latest is with Coursera, the largest, massive open online courses platform in the world, which offers a host of data science programmes from reputable universities around the globe, allowing one to attain professionally recognised and accredited qualifications.

For organisations to remain competitive and relevant, big data is no longer an option as it will become mainstream in the very near future. If organisations are not sensitive to big data, it will face huge impact. All it takes is one bad user experience and an organisation will be set back for days.

“The power of big data analytics can not only help in terms of competitiveness, but relevancy in the future. With all this information, you will then know how you can evolve and proactively change the company.”

High Salary for Data Science or Big Data Analytics in Malaysia

EduSpiral took me & my friends to tour a few universities to help us make the right choice. He then met me & my father for further counseling & to assist in registering. Horng Yarng, Diploma in ICT at Asia Pacific University (APU)

EduSpiral took me & my friends to tour a few universities to help us make the right choice. He then met me & my father for further counseling & to assist in registering.
Horng Yarng, Diploma in ICT at Asia Pacific University (APU)

Asean Data Analytics Exchange (ADAX) CEO Sharala Axryd believes data professionals such as data engineers, data analysts and data scientists are the “sexiest jobs” of the 21st century.

Sharala told The Malaysian Reserve in a recent email interview that these careers are in hot demand due to their highly valued skill sets.

“The world has positioned data professionals as jobs of the future, as the prospects of data science and analytics are endless.

“Besides a healthy remuneration package, data professionals are highly sought after and are needed across multiple industries within the next few years,” Sharala said.

She further said local data science fresh graduates can demand starting pay in the range of RM4,000-RM8,000 — making it the highest paid entrylevel job in the country today.

An experienced professional in the field can demand up to RM15,000, she said. “Data has become the new oil, as companies are constantly inundated with data that they need deciphering in order to create value for their products, services, customers and themselves.”

Sharala opined that it is important for the relevant bodies to create awareness among both youths and their parents, so that the latter can encourage their children to pursue beyond “traditional” jobs.

“I believe there will never be a shortage of data now and in the future, but there is a shortage of data professionals.

“People have no idea how huge is the demand for data scientists, data engineers and data analysts,” Sharala said.

She acknowledged many enterprises are struggling with the complexity of today’s big data and data science ecosystem.

“Though they recognise the opportunity of emerging practices, the shortage of trained data professionals remains at the top of the list of data science challenges that enterprises face.”

Best Computer Science with specialism in Data Analytics in Malaysia at Top Ranked Asia Pacific University (APU)

An impressive 95% of Asia Pacific University (APU)'s graduates obtain jobs before graduation.

An impressive 95% of Asia Pacific University (APU)’s graduates obtain jobs before graduation.

Having won hundreds of awards in computing and IT in Malaysia and globally, Asia Pacific University is the best university in Malaysia to study Computer Science with specialism in Data Analytics.

Students after SPM or O-Levels may go for the Foundation in Computing at Asia Pacific University for 1 year before continuing on to the 3-year UK Dual Award  Bachelor of Science (Hons) in Computer Science with specialism in Data Analytics degree.

With 3 credits in SPM or O-Levels including Maths, students may go for the 2-year Diploma in Information & Communications Technology or Diploma in Information & Communications Technology with specialism in Software Engineering and then enter into Year 2 of the Data Analytics degree at Asia Pacific University. Pre-University students with the relevant results in STPM, A-Levels, SAM, CPU, AUSMAT, etc. can enter directly into Year 1 of the Computer Science with specialism in Data Analytics degree.

The BSc (Hons) in Computer Science with specialism in Data Analytics programme has been carefully designed by Asia Pacific University (APU) with inputs and contents from their partners, comprising of major technology and software solutions providers, university partners as well as industry organisations who use analytics for strategic and competitive advantage.

The strength of these partnerships endures that the programme comprehensively addresses all key stakeholders – Technology providers, Employers, Government as well as Students – in its learning outcomes, curriculum content, delivery adn assessment. Students also obtain certification jointly issued with industry partners, which would certainly give them a head start in the exciting world of Big Data.

Furthermore, APU is also poised to become a frontrunner in analytics research through the establishment of the Asia Pacific Centre of Analytics (APCA), through which research activities will be undertaken to challenge boundaries in the application of analytics.

Highly Acclaimed BSc (Hons) in Computer Science with specialism in Data Analytics at Award-Winning Asia Pacific University (APU)

EduSpiral counseled me online on the software engineering courses & then took me & my friends to tour the university. Boon Ping, Software Engineering at Asia Pacific University (APU)

EduSpiral counseled me online on the software engineering courses & then took me & my friends to tour the university.
Boon Ping, Software Engineering at Asia Pacific University (APU)

The School of Computing & Technology at Asia Pacific University (APU) is the oldest and most established school. The school has a strong presence in the industry and is an obvious choice among the school leavers. The school offers a wide variety of specialised programmes. Asia Pacific University’s programmes are very much industry driven and relevant and our graduates are global citizens and industry ready.

Alumni of the School have progressed into a number of significant careers in leading multinational technology based companies. In line with APU’s vision, the School aims to be a leading provider of high quality computing and technology education and a contributor to research at the national and international level.

This is emphasised by our mission to provide high quality and internationally recognised and benchmarked Technology education and to be recognised for innovative teaching methods and educational activities.

The School of Computing & Technology at Asia Pacific University aims to:

  • Facilitate your academic and vocational progression by developing knowledge, key skills and capacity for independent and lifelong learning
  • Develop your skills in imaginative problem-solving and decision-making
  • Develop your Personal Development Portfolio to support your career aspirations
  • Provide a stimulating, interactive and accessible course of study to give you a sound grasp of information technology
  • knowledge, analysis and contemporary issues which you can develop and apply in future employment
  • Develop your imagination and innovative abilities to show initiative and creativity in your work
  • Develop your intelligence, ingenuity, inventiveness and independence as well as your communication skills

 

Course Structure for the BSc (Hons) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

Group study room in the library at Asia Pacific University

The BSc (Hons) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU) programme is specifically designed to provide:

  • The ability to develop technical knowledge, skills and background in the design and organisation of computer systems with an emphasis on data analytics.
  • The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
  • The ability to evaluate and respond to opportunities for developing and exploiting new technologies with data analytics concepts and tools.

Year 1 Subjects for the BSC (HONS) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

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The first year is packed with modules that provide the fundamental skills required by every IT professional. Systems analysis & design and introduction to programming in an appropriate language provide a foundation in the area of software development.

A sound grasp of mathematical techniques and skills in algorithmic thinking are important pre-requisites for your second and third year studies in this area. Computer architecture, operating systems, networks, databases, data analytics, behavioural science and marketing analytics are the area of the platform or underlying analytics systems. Introduction to management introduces the third key area, understanding personal and organisational development, along with independent learning and teamwork skills.

Common Modules

  • Introduction to Management
  • System Analysis & Design
  • Fundamentals of Software Development
  • Mathematical Concepts for Computing
  • Operating Systems & Computer Architecture
  • Introduction to Networking
  • Introduction to Databases

Specialised Modules

  • Introduction to C Programming
  • Introduction to Data Analytics
  • Behavioural Science and Marketing Analytics

In addition to the above, all students are also required to successfully complete General Studies modules as stipulated by the Malaysian Qualification Agency, as well as fulfill credit requirements for Co-Curricular Activities.

Year 2 Subjects for the BSC (HONS) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

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Computer Science involves designing and implementing software, devising new ways to use computers and developing effective ways to solve computing problems. It spans a wide range, from theoretical and algorithmic foundations to cutting edge developments in all areas of computing. Successful professionals with a degree in computer science are flexible in performing a range of computing tasks, and extend theories and practice in every area of computing.

In your second year, the core modules take development skills to the next level and deepen your understanding of platform technology, while specialised modules allow you to go further into statistical modelling, data mining and predictive modelling.

Professional development, fostering creativity and innovation in individuals and teams, and independent learning are continuous themes in your studies at APU. This year ends with an internship that offers you an opportunity to move outside the classroom and show your professionalism in the workplace.

Common Modules

  • Object Oriented Development with Java
  • System Development Methods
  • Professional & Enterprise Development
  • Creativity & Innovation
  • Research Methods for Computing & Technology

Specialised and Option Modules

  • Computing Theory
  • Data Structures
  • Concurrent Programming
  • System & Network Administration
  • Computer Systems & Low Level Techniques
  • Probability & Statistical Modelling
  • Data Mining & Predictive Modelling

INTERNSHIP

After the completion of Level 2 students will undertake a short Internship / Industrial Training. This will prepare them for a smooth transition from the classroom to the world of Computer Science.

Year 3 Subjects for the BSC (HONS) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

Computing class at Asia Pacific University’s new campus

In your third year you draw on your previous studies and industrial experience to refine your personal and professional development in the field of computer science, supported by specialised training in project management and new product development.

Other core modules help you develop new skills in advanced programming techniques and algorithms, and evaluating applications at the frontiers of current technology. Specialised modules allow you to extend the capabilities you developed from previous studies of databases and analytics specifically in the area of database securities, text analytics, sentiment analysis, business intelligence, and optimisation concepts.

For your final year project, you investigate and develop a solution for a real world problem. This provides

proof of your ability to combine technical knowledge, critical thinking, and analytical skills to achieve a goal, which is an important addition to your personal achievement portfolio.

Common Modules

  • Innovation Management & New Product Development
  • Project Management

Specialised & Option Modules

  • Algorithmics
  • Real-Time Systems
  • Emergent Technology
  • Text Analytics & Sentiment Analysis
  • Business Intelligence Systems
  • Database Security
  • Optimisation Concepts for Data Science
  • Investigation in Computer Science
  • Computer Science Projects

Studying Data Science at Top 300 Ranked Multimedia University (MMU)

Multimedia University (MMU) is ranked Top 300 QS World University Rankings in Computer Science and Information Systems, 2017

Multimedia University (MMU) in Malaysia is ranked in the Top 300 QS World University Rankings in Computer Science and Information Systems, 2017. Multimedia University (MMU) Cyberjaya offers award-winning, practical and industry-ready degrees that will allow you to make a real and lasting impact as an ICT specialist. Top Ranked Multimedia University (MMU) Cyberjaya offers the Bachelor of Computer Science (Hons.) Specialising in Data Science.

Students after SPM or O-Levels in Malaysia with at least 5 relevant credits can enter the Foundation in Information Technology course at Multimedia University (MMU) in Cyberjaya.

Upon completion of the recognised Foundation in IT, students will continue on to the Bachelor of Computer Science (Hons.) degree programme at the Faculty of Computing & Informatics at MMU Cyberjaya campus. Alternatively, students with at least 3 credits in SPM or O-Levels may go for the Diploma in Information Technology (IT) and then continue on to the final part of the degree upon completion. Students may apply for PTPN Loan for the Foundation in Information Technology as well as the diploma & degree programmes.

Multimedia University (MMU) is ranked 179th in Asia according to Quacquarelli Symonds (QS) World University rankings for 2018. Having won hundreds of awards, Multimedia University (MMU) offers the best courses in Computer Science in Malaysia. Therefore, it is undeniably the best university in Malaysia for students to study the Bachelor of Computer Science (Hons.) degree that’s also affordable.  97% of Multimedia University (MMU) students are employed within six months of graduation.

Outstanding Computer Science Majoring in Data Science Degree Course in Malaysia at Top Ranked Multimedia University (MMU) Cyberjaya

Multimedia University (MMU) Cyberjaya 80-Hectare campus is equipped with various intelligent features such as multimedia learning facilities, intelligent building systems, a digital library, and an integrated campus management system designed to nurture innovative management graduates.

This three-year Bachelor of Computer Science (Hons.) degree programme at the Faculty of Computing & Informatics at Multimedia University (MMU) Cyberjaya equips students with fundamental computing knowledge and the latest technology. In year 1, all students learn common subjects before specialising in one of the following areas – Software Engineering, Information Systems, Game Development or Data Science – in the second year.

Each designed specialisation prepares students with specific skills. Students will also complete a final year project and undergo industrial training to acquire practical industry experience.

  • Data Science: Focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business.

Career Prospects: Researcher, Programmer, Software Development, Project Manager, System Analyst, Database Administrator, IS/SE Consultant, Game Producer, Game Artist & Visualiser, Data Analyst, Data Scientist, Data Engineer.

 

List of Subjects offered in the Computer Science Degree Majoring in Data Science at Multimedia University (MMU) at Cyberjaya

Year 1 Computer Science Subjects at the Faculty of Computing & Informatics Multimedia University (MMU) Cyberjaya

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Vickey, Diploma in IT at Multimedia University (MMU)

  • Calculus
  • Programming Fundamentals
  • Discrete Structures & Probability
  • Professional Development
  • Computational Methods
  • Object Oriented Programming & Data Structures
  • Computer Architecture & Organisations
  • Database Fundamentals
  • Research Methodology in Computer Science
  • U2
  • U4

Year 2 Computer Science Subjects at the Faculty of Computing & Informatics Multimedia University (MMU) Cyberjaya

  • Software Engineering Fundamentals
  • Operating Systems
  • Computer Networks
  • Object Oriented Analysis & Design
  • Algorithm Design & Analysis
  • Elective 1
  • Industrial Training
  • U3

Specialisation: Data Science

  • Introduction to Data Science
  • Data Mining

Year 3 Computer Science Subjects at the Faculty of Computing & Informatics Multimedia University (MMU) Cyberjaya

Students at Multimedia University (MMU) have access to some of the latest technology and best facilities in Malaysia

  • Final Year Project
  • Elective 2
  • Elective 3
  • U1
  • U1
  • Workplace Communication

Specialisation: Data Science

  • Statistical Data Analysis
  • Data Visualisation
  • Specialisation Elective 1
  • Specialisation Elective 2

 

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