High Job Demand & Salary for Data Science or Big Data Analytics in Malaysia EduSpiral Consultant Services Best advise & information on courses at Malaysia’s top private universities and colleges

Best Data Science or Data Analytics Job in Malaysia with High Demand & Remuneration Package

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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.

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.

There is a tremendous requirement 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.

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Huge Job Demand in Malaysia for Data Scientists or Big Data Analysts

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

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

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Zen Yi, Graduated from Software Engineering at Asia Pacific University (APU)

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

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Qi Leem, Software Engineering Graduate from Asia Pacific University (APU)

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.

A report from the recent Digital Workforce of The Future by LinkedIn, which revealed that a combination of skills encompassing Big Data, data analytics and web development registered a 21% growth in demand. In Malaysia, the top five in-demand digital skills are big data, software and user testing, mobile development, Cloud computing and software engineering management.

High Salary for Data Science or Big Data Analytics in Malaysia

EduSpiral took us around to tour the campus and the hostel giving me & my family the assurance that we are making the right choice.
Jerry Cheong, Diploma in ICT at Asia Pacific University

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.”

Salary Reports for Data Scientists in Malaysia

Randstad 2020 Market Outlook & Salary Snapshot reports that a data engineer with 4 – 6 years experience earns RM7,000 – RM12,000 a month while a big data architect with 5 – 10 years experience expects RM14,000 – RM22,000.
Robert Walters Salary Survey 2020 Malaysia – Kuala Lumpur (Salaries are yearly in ‘000 RM)
- Business Intelligence Consultant 96 – 180k
- Data Analyst 90 – 156k
- Data Engineer 108 – 180k
- Data Scientist 174 – 276k
Michael Page Salary Benchmark 2020 reports that a Data Engineer can earn from RM120,000 to RM138,000 a year. A Data Warehouse Architect in the Technology & Telecommunications sector can earn from RM120,000 to RM144,000.
2020 Hays Salary Guide Malaysia – Digital Technology – BIG DATA
(Salaries are yearly in ‘000 RM)
- Data Scientist (Hadhoop/Scala) 120 – 276
- Data Engineer (Hadhoop/Scala) 120 – 216
- Business Intelligence (Hadhoop/Scala) 120 – 216
- Data Scientist (R/SQL/MS.Excel) 144 – 300
- Data Engineer (R/SQL/MS.Excel) 144 – 240
- Business Intelligence (R/SQL/MS.Excel) 96 – 192

What is Data Science or Big Data Analytics

I didn’t want to leave Penang for my studies but EduSpiral provided detailed information to help me make my decision. Vincent Lim, Software Engineering, Asia Pacific University (APU)

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