Computer Science

How to Become a Data Scientist or Data Analyst in Malaysia

Step-by-step Guide on How to Become a Data Scientist or Data Analyst in Malaysia after SPM or O-Levels

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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. In addition, starting salaries ranging from RM3000 to RM7000 makes becoming a Data Scientist or Data Analyst an incredible opportunity for a high paying career. Students after SPM/O-Levels or Pre-University wanting to know how to become a Data Scientist in Malaysia can read on further in the article below which will explain to you in 3 simple steps.

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How to Become a Data Scientist in Malaysia?

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.

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.

What is a Data Scientist?

EduSpiral counseled us online & then picked us up from the airport to visit MMU in order to help us choose the right university. Mak, Ong & Chaw - Diploma in Information Technology (IT) at Multimedia University (MMU)

EduSpiral counseled us online & then picked us up from the airport to visit MMU in order to help us choose the right university.
Mak, Ong & Chaw – Diploma in Information Technology (IT) at Multimedia University (MMU)

Data scientists must have expertise in several different disciplines. Generally, data scientists must possess the statistical knowledge and computer skills that are needed for solving complex problems. Using descriptive, predictive, inferential, and causal models, they can explore and anticipate problems then work to model a solution based on a multitude of factors.

Data scientists are part mathematician and part computer scientist. Their skill set encompasses both the business and information technology sectors, which is why they are highly sought after.

Data science is deep knowledge discovery through data exploration and inference. This discipline focuses on using mathematical and algorithmic techniques to solve some of the most analytically complex business problems. In doing so, they leverage troves of raw data to figure out the hidden insight that lies beneath the surface. The core of the field centers around evidence-based analytical accuracy and building strong decision capabilities. However, data scientists must also verbally and visually communicate their findings to stakeholders who may or may not understand the statistical jargon. Thus, data scientists must be excellent communicators.

Now that you know what a Data Scientist is, here are 3 steps on how to become one:

Step 1: Choose the Best University for Data Science

EduSpiral helped me to understand clearly what software engineering is about & helped me to choose the right university. Vincent Chow, Software Engineering Graduate, Asia Pacific University

EduSpiral helped me to understand clearly what software engineering is about & helped me to choose the right university. Vincent Chow, Software Engineering Graduate, Asia Pacific University

Now that you have decided to study data science in Malaysia, you will need to figure out which university can equip you with the necessary knowledge and skills to be successful in this career. First of all, your results must meet the entry requirements to join the Foundation or Pre-University course. Upon completion of the Pre-U, you will then enter the Data Science degree for 3 years.

Studying at the top ranking university in Malaysia gives you a lot of opportunities in your future professional life. Top universities provide a high standard of education that equips you well for your future career.

Furthermore, a degree earned at a reputable university in Malaysia makes seeking employment much easier whether locally or globally. Part of finding the right university in Malaysia for you will be picking out the criteria that matters to most to you, and then seeing if any of the top private colleges or universities in Malaysia that you’re looking at fit those criteria. University Rankings, Awards & Achievements are indicators of the level of standard that they have achieved and these could serve as a guide for you in choosing the right university to study at.

Choosing the right university to study Data Science can be a complicated and confusing process. There are many universities offering this course but not all Data Science courses are the same at each university. It is important to understand the differences to see which one fits your future career goals.

There are many factors involved in making this choice therefore contact me for a free consultation. I have more than 20 years experience in the education industry and is knowledgeable of the ins and outs of the private universities in Malaysia to be able to assist you in making this important decision.

Step 2: Completing your Data Science undergraduate studies

Vincent Lim, Software Engineering Graduate, Asia Pacific University (APU)

EduSpiral provided detailed information to help me make my decision.
Vincent Lim, Software Engineering Graduate, Asia Pacific University (APU)

The most sought-after majors for data science are statistics, computer science, information technologies, mathematics, or data science (if available).

During your undergraduate studies you will become proficient with the most widely used programming languages in data science such as Python, Java, and R — and refreshing their knowledge in applied math and statistics. In addition, continue to learn programming languages, database architecture, and add SQL/MySQL to the “data science to-do list.”

Now is the time to start building professional networks by looking for connections within your university, look for internship opportunities, as well as, ask lecturers and advisors for guidance.

During your university studies, it is also important to improve your command of the English language, communication skills, critical thinking skills, and leadership skills.

Step 3: Looking for your first job in Data Science

My father wanted me to study at the best university for actuarial science & I wasn't sure about my results. EduSpiral met up with us, explained about the course and university.

My father wanted me to study at the best university for actuarial science & I wasn’t sure about my results. EduSpiral met up with us, explained about the course and university.
Min En, Actuarial Science, Heriot-Watt University Malaysia

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.

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.

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.

Data science fresh graduates can demand starting pay in the range of RM4,000-RM8,000 — making it the highest paid entry level job in the country today. Furthermore, an experienced professional in the field can demand up to RM15,000 a month.

Many employers are building their teams from ‘scratch’, accepting candidates with entry-level industry experience. The large salary range reported by employers for a data scientist from more than RM 15,000 per month to less than RM 5,000 per month may reflect a lack of precision in defining the role of a data scientist. While compensation will differ by candidate experience and performance, it is important that this role is not undervalued. Data science competencies such as statistical modelling and machine learning require a high education investment which should be recognised.

 

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