Category Archives: Data Science

Find Out About the Data Science Undergraduate Programme at Malaysia’s Private Universities

Studying the Data Science Degree in Malaysia

In the past few years, there has been an enormous increase in demand for Data Scientists in Malaysia and globally, across almost every industry sector, from tech and finance to energy, retail, healthcare and cybersecurity.

As the volume, diversity and complexity of data being gathered continue to increase, the key challenge facing companies is how to make sense of data, and more importantly how to use data to inform business decisions.

To solve this problem, organisations need data scientists who not only are highly skilled in a wide range of statistical and data analysis tools, but who can go far beyond classical statistics and machine learning to gain real insights from data.

Data science is a combination of different disciplines such as data inference, algorithm development, and technology so that we can solve analytically complex problems. Huge amounts of raw information, streaming in and stored in enterprise data warehouses. We will need advanced systems and capabilities to sort out the data and analyse it to be used to create value for business.

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.

Basically there are 2 types of degree programmes at Malaysian private universities for students who want to pursue an undergraduate programme in Data Science – one is Maths-based and the other is computer science based. Students may go for a Statistics degree programme and specialise in the Maths part of the Data Science career. On the other hand, a computer science based data science programme will cover mostly the programming languages and computing subjects. In addition, students will also study some statistics and business analysis.

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Please fill up the Form below and I will WhatsApp you and provide you with sound advise on how to choose the best private university or college in Malaysia to study at. If you do not give your mobile number or full name as in IC, your query will not be answered. Our knowledgeable & experienced counsellor will send you a message on WhatsApp & provide assistance from there.

Who Should Study Data Science in Malaysia?

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

Students who love Mathematics, computer science, research and analysis are excellent candidates to study Data Science.

A common personality trait of data scientists is they are deep thinkers with intense intellectual curiosity. Data science is all about being inquisitive – asking new questions, making new discoveries, and learning new things.

Ask data scientists most obsessed with their work what drives them in their job, and they will not say “money”. The real motivator is being able to use their creativity and ingenuity to solve hard problems and constantly indulge in their curiosity.

Deriving complex reads from data is beyond just making an observation, it is about uncovering “truth” that lies hidden beneath the large amount of data.

Problem solving is not a task, but an intellectually-stimulating journey to a solution. Data scientists are passionate about what they do, and reap great satisfaction in taking on challenge.

Data Science skills
  • Problem-solving
  • Attention to details
  • Software development
  • Machine learning
  • Proficiency in big data tools: Hadoop and Spark
  • Programming abilities: Python, R, Scala
  • Expertise in SQL, Cassandra, MongoDB
  • Knowledge of visualisation tools: QlikView, Tableau

What is the Entry Requirements to Study 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

Students after SPM or IGCSE/O-Levels may go for the Foundation in Computing & Technology for 1 year before continuing on to the 3-year undergraduate programme.

With 3 credits in SPM or IGCSE/O-Levels including Maths, students may go for the 2-year Diploma in Information & Communications Technology and then enter into Year 2 of the Data Science degreee.

Alternatively, students who want an affordable and yet top ranked computer science private university in Malaysia may choose to take the Foundation in Information Technology  (IT) or Diploma in Information Technology (IT).

Pre-University students with the relevant results in STPMA-LevelsSACEiCPUAUSMAT, etc. can enter directly into Year 1 of the Data Science or Data Analytics degree programmes.

What will you study in Data Science at a private university in Malaysia?

was confused about what to study & didn't want to do what my dad was working as because he was so busy. My mum asked EduSpiral to advise me. He showed my that I am different from my dad & helped me to make the right choice. Chong Han, Foundation in Engineering at Taylor's University
I was confused about what to study & didn’t want to do what my dad was working as because he was so busy. My mum asked EduSpiral to advise me. He showed my that I am different from my dad & helped me to make the right choice.
Chong Han, Foundation in Engineering at Taylor’s University

Data science degrees provide students with the technical skills they need to analyze data and develop actionable conclusions from those assessments. The coursework of such programs typically emphasizes programming, statistics, math and some elements of social science.

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.

In this major students will develop a strong foundation in the statistical aspects of data analysis (data collection, data mining, modelling and inference) and the principles of computer science (algorithms, data structures, data management and machine learning).

What are some of the Subjects in a Data Science Undergraduate Programme at a Private University in Malaysia?

I wasn't sure of which course to study & Lonnie , from EduSpiral, guided me to choose the right course based on Job Demand & Salary. Hong Ming, Foundation in Computing & Technology at KDU University College
I wasn’t sure of which course to study & Lonnie , from EduSpiral, guided me to choose the right course based on Job Demand & Salary. Hong Ming, Foundation in Computing & Technology at UOWM KDU University College
  • Discrete Mathematics
  • Intermediate Statistics
  • Database Systems
  • Principles of Data Mining
  • Data Security
  • Data Structures and Algorithms
  • Software Development
  • Introduction to Management
  • System Analysis & Design
  • Fundamentals of Software Development
  • Mathematical Concepts for Computing
  • Operating Systems & Computer Architecture
  • Introduction to Networking
  • Introduction to Databases
  • Introduction to C Programming
  • Introduction to Data Analytics
  • Behavioural Science and Marketing Analytics
  • Computing Theory
  • Data Structures
  • Concurrent Programming
  • System & Network Administration
  • Computer Systems & Low Level Techniques
  • Probability & Statistical Modelling
  • Data Mining & Predictive Modelling
  • Object Oriented Development with Java
  • System Development Methods
  • Professional & Enterprise Development
  • Creativity & Innovation
  • Research Methods for Computing & Technology
  • Algorithmics
  • Real-Time Systems
  • Emergent Technology
  • Text Analytics & Sentiment Analysis
  • Business Intelligence Systems
  • Database Security
  • Optimisation Concepts for Data Science
  • Investigation in Computer Science
  • Computer Science Projects
  • Calculus
  • Programming Fundamentals
  • Discrete Structures & Probability
  • Professional Development
  • Computational Methods
  • Object Oriented Programming & Data Structures
  • Computer Architecture & Organisations
  • Database Fundamentals
  • Research Methodology in Computer Science
  • Software Engineering Fundamentals
  • Operating Systems
  • Computer Networks
  • Object Oriented Analysis & Design
  • Algorithm Design & Analysis
  • Statistical Data Analysis
  • Data Visualisation
Programming Language (Python / R)
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)

Between the two, Python is the most preferred coding language and is adopted by most Data Scientists. It is easy to understand, versatile, and supports various in-built libraries such as Numpy, Pandas, MatplotLib, Seaborn, Scipy, and many more.

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.

Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Although Python can be used to build pretty much anything, it really shines when it comes to working on technologies like Artificial Intelligence, Machine Learning, Data Analytics. Python also proves to be useful for web development, creating enterprise applications, and GUIs for applications.

On the other hand, R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.

R offers a wide variety of statistics-related libraries and provides a favorable environment for statistical computing and design. In addition, the R programming language gets used by many quantitative analysts as a programming tool since it’s useful for data importing and cleaning.

Statistics

For becoming a Data Scientist, having knowledge of statistics and probability is essential. Having a good grasp of Maths will help data scientists interpret large data sets, get insights from them, and analyze them better.

SQL

Structured Query Language (SQL) is used for extracting and communicating with large databases. One should focus on understanding the different types of normalization, writing nested queries, using co-related questions, group-by, performing join operations, etc., on the data and extract in raw format. This data will then further be cleaned either in Microsoft Excel or by using Python libraries.

Data Cleaning

When a Data Scientist is given a project, the majority of the time goes into cleaning the data set, removing unwanted values, handling missing values. It can be achieved by using some inbuilt python libraries like Pandas and Numpy. One should also know how to manipulate data using Microsoft Excel.

In Microsoft Excel, you should know basic data filtering or sorting, Functions or Formulas, Vlookup, Pivot table and charts, and Tables, etc.

Exploratory Data Analysis

Exploratory data analysis is the essential part when talking about data science. The data scientist has many tasks, including finding data patterns, analyzing data, finding the appropriate trends in the data and obtaining valuable insights, etc., from them with the help of various graphical and statistical methods, including:

  1. Data Analysis using Pandas and Numpy
  2. Data Manipulation
  3. Data Visualization
Machine Learning Algorithms

According to Google, “Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.”

It is the most crucial step in a life cycle of a data scientist where one has to build various models using machine learning algorithms and should be able to predict and come with the most optimum solution to solve any problem.

What Qualifications do I need to work in Data Science in Malaysia?

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

Job-seekers for data science roles require baseline higher education, holding a Bachelor’s Degree at a minimum. Employers however value short courses and MOOCs in resumes as they reflect active lifelong learning and commitment. Graduates may opt for the Masters programme.

Earning a master’s in data science can help you gain a broad skill set that can be applied to a vast number of tech-related careers, such as data engineering, data architecture, or computer programming. It helps you in acquiring skills to collect, manage and analyze data, its types, trends, and deliver the results accordingly.

While a PhD is not a prerequisite to becoming a data scientist, advanced education is valued. Soft skills such as critical and creative thinking are sought after. Finding an individual that is strong in all the competencies for a data scientist is very rare: the formation of teams with complementary skill sets can address this challenge. Ultimately, employers desire team members who will add value to the ‘bottom line’ of a business through delivering actionable insights.

How to Become a Data Scientist or Data Analyst in Malaysia?

What is the Best Education Pathway to Become a Data Scientist in Malaysia?

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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.

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Please fill up the Form below and I will WhatsApp you and provide you with sound advise on how to choose the best private university or college in Malaysia to study at. If you do not give your mobile number or full name as in IC, your query will not be answered. Our knowledgeable & experienced counsellor will send you a message on WhatsApp & provide assistance from there.

The Best Education Pathway to Become a Data Scientist in Malaysia through an Undergraduate Programme at a Top Private University

EduSpiral gave me useful information & evidence on why I should choose the best university. Philip Sim, Information Technology (IT) graduate from Asia Pacific University (APU)
EduSpiral gave me useful information & evidence on why I should choose the best university.
Philip Sim, Information Technology (IT) graduate from 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.

Who Should Study Data Science in Malaysia?

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)

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.

Steps to Become a Data Scientist in Malaysia

Step 1 – Complete a Pre-University Programme

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

Students after SPM or O-Levels will need to go for a Pre-University programme such as Foundation, SACE, AUSMAT, CIMP, A-Levels, STPM, etc before entering a degree programme in Data Science. You will need at least 5 credits in SPM or 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.

Step 2 – Earn a bachelor’s degree in Data Science from a Top Private University in Malaysia

Being in Sabah made it difficult for me to survey the universities in Peninsula. I found EduSpiral online and they provided detailed information & helped me with my application. They even took me around the university for a tour when I went to visit. Xavier Phang, Software Engineering Graduate from Asia Pacific University (APU)
Being in Sabah made it difficult for me to survey the universities in Peninsula. I found EduSpiral online and they provided detailed information & helped me with my application. They even took me around the university for a tour when I went to visit. Xavier Phang, Software Engineering Graduate from Asia Pacific University (APU)

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.”

Not all Data Science degree programmes are the same. It is important for students to look at the subjects offered to see if they fit your career goals. With more than 20 years of experience in counselling students, I will be able to guide you in your search for the best university for data science in Malaysia. Just WhatsApp 01111408838.

Step 3 – Apply for a Entry Level Position in Data Science

Software Engineering Graduate from Asia Pacific University (APU)
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Jeremy Lee, Software Engineering Graduate from Asia Pacific University (APU)

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.

Why Study Data Science at a Top Private University in Malaysia?

I wasn't sure of which course to study & Lonnie , from EduSpiral, guided me to choose the right course based on Job Demand & Salary. Hong Ming, Foundation in Computing & Technology at KDU University College
I wasn’t sure of which course to study & Lonnie , from EduSpiral, guided me to choose the right course based on Job Demand & Salary. Hong Ming, Foundation in Computing & Technology at KDU University College

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.