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The Ultimate Steps of Becoming a Data Scientist in Malaysia

  • July 06, 2023
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Meet the Author : Mr. Bharani Kumar

Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of AiSPRY and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 18+ years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.

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In this blog, Learn about Data Science in Malaysia, Interest in Data Science, Completing a 5 credit course, Pursuing an Undergraduate Degree, Fluent in Programming languages, Entry Level positiion in Data Science, Master Degree in Data Science, Salary of Data Scientist in Malaysia.

Large corporations place a high emphasis on data processing abilities in the burgeoning sector of technology. Big data sets are handled by data scientists in order to comprehend and evaluate them in order to draw implications for the future of enterprises. To get crucial conclusions about data, these professionals collaborate with other coworkers across the whole organisation. The field faces the task of everyday problem-solving and new difficulties. Every data is unique from the others and requires a distinct approach to analysis and solution, thus the task is never the same. As a result, organisations respect a data scientist's abilities and competence since they are necessary to maintain corporate operations and manage critical data.

Data Science in Malaysia

The field of Data Science is an upcoming course, therefore causing an immense amount of competition between individuals. Students are searching for the appropriate college or university according to their preference where the given course is taught the best. Many factors are in play when deciding the same. Students also find it difficult to understand how the Data Science course can be pursued or how to become a Data Scientist. Mining data usually involves a combination of many subjects that an individual has to learn and gain knowledge about. These subjects involve, as mentioned above, are Mathematics, Computer science, and statistics. Having knowledge of the three subjects gives the student an immense amount of knowledge in this field and the ability to pursue the Data Science course.

Malaysian Universities are ranked top 300 in the list of top universities for Data Science. But the question arises is - What are the essentials points to be considered to become a Data Scientist in Malaysia?

1. Interest in Data Science

The most crucial quality is first and foremost an inquisitive temperament. The trait enables you to study new ideas and understand more about a certain Data Science-related subject. By sifting through fragmented data and discovering new methods of handling it, one might learn on their own in a variety of ways. You are already one step closer to becoming a data scientist if you are excellent at it and interested in the area; you simply need to discover the right universities and next steps.

2. Completing a 5 Credit Course

Before entering your undergraduate program, it is essential to complete five credits after SPM (Sijil Pelajaran Malaysia) or the GCE O-Levels. The foundation course can be done in SACE, A-Levels, AUSMAT, and many more. These can even be important in learning many skills and gain knowledge about different subjects and their aspects. This is a vital key to enter a University for Data Science and to pursue the mentioned course.

3. Pursuing an Undergraduate Degree

An undergraduate programme can be followed once the pre-university credits have been satisfied. A person is required to possess an undergraduate degree in data science or a similar subject, such as computer science, mathematics, or statistics. You may enrol in the Data Science programme at the majority of Malaysian private universities, which is ideal if you are accepted. If not, there are always other data science-related courses you may enrol in. The course gives the student the chance to acquire the necessary set of abilities and covers a lot of material in that vein, including handling and analysing data. These techniques will also assist you in comprehending actual circumstances and deciding how to respond to them. Students will be able to learn more about their chosen field by utilising them outside of the university. Numerous universities offer programmes in data science that are appropriate for this industry.

  • Multimedia University- The three-year course involves developing solutions from big data and coming to conclusions for the same. Training will be given to students such as learning techniques to analyze data that can be useful for huge industries and their processes.
  • Taylors University- This university allows students to take part in activities that will prepare them for handling and managing data the way businesses want it in the real world. A student may choose to pursue other courses in addition to data science.

4. Fluent in Programming Languages

Students who want to major in data science must be proficient in a number of computer languages, including Python, Java +, and others. These are the most popular languages that are necessary for effectively utilising and managing computers. Universities and businesses use programming languages differently because they each have a specific method for doing so. grasp these languages can help you work with computers more effectively and have a deeper grasp of the topic.

5. Entry Level Position in Data Science

Malaysia is one of the upcoming countries which employ Data Scientists. Even SME’s (small and medium enterprises) have big data to handle and a lot of raw data to analyze. As a result, industries need to employ many Data Scientists to engage in this work and make vital decisions for the company. You can join as an intern or entry-level job as soon as you have required the given specializations. A growing company would be perfect for this position as it would have a scope of growth. Interns will not have the title of Data Scientist but will learn how to work in a company in teams and understand the responsibilities related to it. Real-life situations will help you to engage in handling data and to get involved in managing and analyzing it. Working with actual Data Scientists will also help in gaining experience in the field of technology. This will also enable a student to display a better portfolio for future purposes.

6. Master Degree In Data Science

Every institution has a unique application process and set of prerequisites for each of its courses. Large cities in Malaysia, including Kuala Lumpur, feature some of the greatest universities offering a variety of degrees, including specialisations in data science. The path to become a Data Scientist is completed by earning a master's degree in the field.

Salary of Data Scientist in Malaysia?

If there are open Data Scientist positions, the typical salary for one is between RM 4000 and RM 6000. An employee may anticipate more salary or a better position from the employer if they are employed by the same company or have more education and experience than others. Your income will often increase as you gain experience in this industry or firm. So, if a potential employee is really skilled at his profession, he may earn up to RM 10,000.

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