Study at Top Private Universities in Malaysia Offering the Best Data Science or Data Analytics Courses
The area of Data Science has become increasingly popular in the past few years and job demand as well as salary is high. Because there is simply too much information for the average person to process and use, data scientists are trained to gather, organize, and analyze data, helping organisations make sense and strategies from the vast amounts of data. Data scientists come from a wide range of educational backgrounds, but recently private universities in Malaysia have started to offer degree programmes in Data Science.
Additionally, Data science degrees include a wide range of computer-related majors, but it could also include areas of math and statistics. A Data Science degree from a top private university in Malaysia would equip you with all the necessary knowledge and skills to become a successful professional in this field. 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
Harold, Diploma in Business IT at Asia Pacific University (APU)
Basically, a data scientist is someone who gathers and analyzes with the goal of reaching a conclusion. They do this through many different techniques. They may present the data in a visual context, which is often called “visualizing the data,” allowing a user to look for clear patterns that wouldn’t be noticeable if the information was presented in hard numbers on a spreadsheet.
They often create highly advanced algorithms that are used to determine patterns and take the data from a jumble of numbers and stats to something that can be useful for a business or organization. At its core, data science is the practice of looking for meaning in mass amounts of data.
Data science, which is a newer field, is heavily based on the use of computers and technology. It accesses information from large databases, uses code to manipulate data, and visualizes numbers in a digital format.
There are many pathways to getting a career in data science in Malaysia, but for all intents and purposes, it is completely impossible to launch a career in data science without a university education. You will need at least a 3-year bachelor’s degree.
Five of the top award-winning private universities chosen are
- Asia Pacific University (APU) offers the BSc (Hons) in Computer Science with specialism in Data Analytics
- Heriot-Watt University Malaysia offers the maths-based BSc (Hons) Statistical Data Science
- Multimedia University (MMU) offers the Bachelor of Computer Science (Hons.) Specialising in Data Science
- Taylor’s University offers the UK Dual Award Bachelor’s (Hons) in Computer Science (Data Science)
- University of Wollongong (UOW) Malaysia KDU offers the Bachelor of Computer Science (Hons) with specialisation in Data Science
What is Data Science?
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?
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.
Who Should Study Data Science in Malaysia?
So what are the top traits of a data scientist? How can you determine if you have the raw material needed for a long career in the field of data science? There are many unique characteristics that apply to data science, so it’s likely you have one or more of these skills.
First of all, you must have a curious nature that pushes a constant pursuit of learning. There are so many areas and so many data points to analyze, that a data scientist must have an inherent curiosity that drives their need to find answers.
You’ll also need a strong ability for organization. As we said earlier, there are millions of potential data points, so keeping each one conveniently tucked away in its own little corner, and making sure information is organized in a useful way is essential. Good organization will help you reach the right conclusions at the end of your work.
You’ll likely find that this career path can sometimes be full of frustration, so a hearty dose of stubbornness is a good thing. When things get tough and it seems like there couldn’t possibly be an answer to the problem, a good data scientist will keep reorganizing, reanalyzing, and working the data in the hopes that a new perspective will lead to a “Eureka!” moment.
Other traits, like creativity, the strong ability to stay focused, and an acute attention to detail, will all help you in becoming a data scientist.
What will you Study in a Data Science Degree Course?
- Data Visualization
- Machine Learning
- Deep Learning
- Data Mining
- Programming Languages
- Statistics
- Cloud Computing
- EDA
- Artificial Intelligence
- Big Data
- Data Structures
- NLP
- Business Intelligence
- Data Engineering
- Data Warehousing
- DB Management
- Liner Algebra
- Linear Regression
- Spatial Sciences
- Statistical Interference
- Probability
Education Pathway
Students after Secondary school will need to go for a Pre-University programme such as Foundation, AUSMAT, CIMP, A-Levels, STPM, etc before entering a degree programme in Data Science. You will need at least 5 credits in SPM or IGCSE/O-Levels including Maths.
If you’re sure of pursuing a career in Data Science, you can just take the Foundation in Computing & Technology at a top private university. It would be easier and cheaper than the external Pre-University programmes.
What will you Study in a Data Science Degree Programme?
Some private universities in Malaysia offer data science degrees, which is an obvious choice. This degree will give you the necessary skills to process and analyze a complex set of data, and will involve lots of technical information related to statistics, computers, analysis techniques, and more. Most data science programs will also have a creative and analytical element, allowing you to make judgment decisions based on your findings.
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.”
Asia Pacific University (APU)
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, Asia Pacific University 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.
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.
Multimedia University (MMU)
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. Multimedia University (MMU) Cyberjaya offers the Bachelor of Computer Science (Hons.) Specialising in Data Science.
Students after SPM or IGCSE/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 IGCSE/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 PTPTN Loan for the Foundation in Information Technology as well as the diploma & degree programmes.
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.
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