Malaysia
3 Years
$7,500+ Yearly
Computer Science
The most commonly taught courses in the data sciences degree or diploma programs include Introduction to Data Science, programming for Data Science, Statistics for Data Science, Data Visualization, Big Data Technologies, Machine Learning, Deep Learning, Database Management, and Data Ethics and Privacy. The top universities of Malaysia offering either a degree or diploma program in Data Sciences can be listed as follows –
High Demand for Data Scientists: The growing significance of data in every industry around the globe has majorly given rise to the need for data scientists simultaneously. Businesses worldwide seek data science professionals who can help them extract critical insights from the larger sets of data they might have gathered and assist them in strategic yet informed decision-making. This increasing demand for graduates of Data Sciences opens up the gate for too many career opportunities in the field, making it a way too attractive academic choice for students interested in technology and advancement.
Impactful Work: The skill sets and knowledge you gain as a data science professional are often noteworthy and impactful. If studied with concentration and practice with passion, you can certainly make an impact as a data science professional. It involves contributing to many different fields by solving real-world challenges and problems. For instance, data scientists in finance can help develop models that can detect fraudulent activities using their extracted insights. In contrast, those in healthcare can help enhance patient care outcomes with the help of predictive analysis.
Innovation and Technological Advancement: Data science is a foundational field providing the basis for technological innovation and advancement. Studying data science exposes you to top-notch and cutting-edge methods and techniques such as artificial intelligence, machine learning, big data, etc. This exposure can help enhance your technical skills and allow you to make significant contributions to the innovation and advancement of technology.
Problem-Solving and Analytical Skills: Data sciences is an exciting field of education that will allow you to learn critical problem-solving and analysis skills. It will teach you the essential methods and techniques of collecting, processing, and analyzing data to extract insightful information from them. These analytical and problem-solving skills you can learn as a data science student are of great value and can be of help in almost every aspect of life. Therefore, studying data science ensures you a promising and lasting career.
Quality Education: Malaysia is known for being home to all the highly accredited and globally renowned universities that offer the best AI courses. Each of these courses and programs is accredited by professional global bodies such as the Malaysian Qualifications Agency (MQA), which ensures that quality education is offered to students who meet international standards. The curriculum has been rigorously developed with the latest developments in the world’s economy and upcoming trends in mind.
Affordable Tuition Fee: Unlike most educational institutions, Malaysia offers affordable fees. While ensuring that the best quality education is provided and that global standards are not compromised, Malaysian universities offer low-cost study options, making themselves an attractive destination for students with high-end academic dreams.
Strategic Location & International Exposure : Located in the very central heart of Southeast Asia, Malaysia offers strategic access to almost every economically growing state. It is an easy-to-access study destination for students aiming to get a quality education abroad and simultaneously experience an international perspective of AI.
Vibrant Student Life: Universities of Malaysia are known for offering vibrant campus lives for both local and international students. These all-inclusive educational centers welcome students from varying cultures and allow them to engage with each other, enjoy multicultural festivities, and experience a fun-loving study environment where their academics are always complemented with the best extra-curricular activities to ensure a balanced life.
Data Scientist: The key job role of a data scientist is to collect, process, and analyze large volumes of data to extract significant insights from them. They might also be responsible for using the extracted data patterns and insights to build predictive models and contribute to strategic yet informed decision-making for the businesses to perform for enhanced revenues and profits. The critical skills needed by a data scientist usually include machine learning, statistical analysis, data visualization, programming, data wrangling, etc. Top-tier industries such as healthcare, finance marketing, retail, and more often require these.
Data Analyst: The core job responsibilities of a data analyst include interpreting larger sets of data to devise insightful information. They further utilize the analyzed information to create helpful reports and visualizations that can assist organizations in making strategic yet informed decisions. These professionals often work closely with the major stakeholders of a business to better understand their data-related needs and requirements. The skills required for this role usually include data visualization, SQL, Excel, and some basic knowledge of statistical tools.
Machine Learning Engineer: The core job responsibilities of a machine learning engineer include designing, building, and deploying models and systems based on machine learning. They are responsible for developing models to optimize machine learning systems for better performance. The skills required by a machine learning engineer include software engineering, programming, and a decent understanding of machine learning frameworks. It is a high-paying role often required by top-tier industries, including automotive, technology, finance, healthcare, and more.
Business Intelligence Analyst: A BI Analyst’s core role is to analyze the data sets and extract insightful information to help businesses make strategic and vital decisions. They are often required to work on the performance metrics and dashboards. The critical skills needed for a BI Analyst might include Excel, SQL, business acumen, and a decent command of data visualization tools. They are high-demand professionals often required by top-tier industries such as finance, marketing, telecommunications, consulting retail, etc.
Undergraduate Programs
Postgraduate Programs
The general entry requirements set by the Malaysian Qualifications Agency (MQA) are implied and followed by every professional university in Malaysia. They can be described as follows:
Academic Qualifications :
English Language Proficiency:
Academic Qualifications :
English Language Proficiency:
Academic Qualifications :
English Language Proficiency:
The shared facilities and amenities usually include :
The admission process for getting into Malaysian Universities typically comprises multiple steps, including submission of an application, verification of the documents, eligibility assessment, and, in some cases, entrance exams or interviews etc. While it can be overwhelming and tedious to handle all that pressure while preparing for your entrance exams and interviews, TJS Study Steps can be your savior and simplify the admission process like never before. Here’s how the experts from TJS Study Steps can help during each stage of the admission procedure and ease you from the hassle!
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C-2-4, Block C,Megan Avenue 1, 189 Jalan Tun Razak, 54000, Kuala Lumpur Malaysia
+60 14 225 7508
info@studysteps.com.my
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