Introduction
Data Science is a rapidly growing field that is transforming the way we collect, analyze, and use data in all aspects of life. As data becomes increasingly important in decision-making processes, the demand for data scientists is also increasing. Malaysia has emerged as a popular destination for international students seeking to pursue a degree in Data Science due to its world-class universities, affordable tuition fees, and a diverse range of courses and programs. Malaysian universities offer a comprehensive and cutting-edge curriculum that equips students with the skills and knowledge necessary to excel in this field.
Top Malaysian Universities for Data Science
We have selected a range of Malaysian universities for international students to consider. This selection includes universities that have achieved high rankings in the QS World University Rankings, as well as those that are known for their affordability and cost-effectiveness.
Diploma
| No. | University | Location | Program Offered | Duration | Tuition Fees (USD $) | Intakes | QS Ranking |
|---|---|---|---|---|---|---|---|
| 1 | TAR UC – Tunku Abdul Rahman University College | Johor (Branch Campus) | Diploma in Computer Science (Data Science) | 2 years | $ 4,065 | June | 174 (QS Asian Ranking 2023) |
Undergraduate courses
| No. | University | Location | Program Offered | Duration | Tuition Fees (USD $) | Intakes | QS Ranking |
|---|---|---|---|---|---|---|---|
| 1 | Taylor’s University | Subang Jaya | Bachelor of Computer Science (Data Science) (Hons) | 3 years | $ 27,110 | Mar, Aug | 284 |
| 2 | Asia Pacific University (APU) | Kuala Lumpur | Bachelor of Computer Science (Data Analytics) (Hons) | 3 years | 19,445 | Sept, Nov | 240 (QS Asian Ranking 2023) |
| 3 | Monash University | Subang Jaya | Bachelor of Computer Science in Data Science | 3 years | 10,425 | Feb, July, Oct | 57 (AUS) |
| 4 | Swinburne University, Malaysia | Sarawak, Malaysia | Bachelor of Computer Science (Data Science) (Hons) | 3 years | 6,860 | March, Sept | 296 |
| 5 | UOW Malaysia KDU | Utropolis Glenmarie | Bachelor of Computer Science (Data Science) (Hons) | 3 years | 19,220 | Jan, June, Sept | 185 (AUS) |
| 6 | University of Nottingham, Malaysia | Semenyih, Selangor | Finance, Management and Business Analytics Bsc (Hons) | 3 years | 10,260 | Sept | 114 (UK) |
| 7 | Sunway University | Petaling Jaya, Selangor | Bachelor of Information Systems (Honours) (Data Analytics) | 3 years | 6,400 | Apr, Sept | 801 |
| 8 | HELP University | Kuala Lumpur | Bachelor of Information Technology (Hons) Data Analytics | 3 years | 4,535 | Aug, Oct | 351-400. (Asian University Rankings) |
Postgraduate courses
| No. | University | Location | Program Offered | Duration | Tuition Fees (USD $) | Intakes | QS Ranking |
|---|---|---|---|---|---|---|---|
| 1 | Sunway University | Petaling Jaya, Selangor | Master of Business Analytics (MsBA) | 1 year | $ 11,250 | Oct | 801 |
| 2 | Universiti Sains Malaysia (USM) | Gelugor, Penang | MSc (Data Science & Analytics) – School of Computer Sciences | 1 year | 4,500 | Apr, Oct | 143 |
| 3 | Asia Pacific University of Technology & Innovation (APU) | Kuala Lumpur | Master of Science in Data Science and Business Analytics | 1-3 years | 7,520 | Oct | 240 (QS Asian Ranking 2023) |
| 4 | Universiti Kuala Lumpur (UniKL) | Kuala Lumpur | Master in Data Science | 1-2 years | 13,110 | Jan, July, Sept | 1001-1200 |
What skills do you need to study Data Science?
To study Data Science in Malaysia, you will need a combination of technical and analytical skills. Strong mathematical skills, including statistics and linear algebra, are essential for data modeling and analysis. In addition, proficiency in programming languages such as Python and R is necessary to extract insights from large datasets.
A deep understanding of machine learning algorithms and data visualization techniques is also crucial. Soft skills such as communication, critical thinking, and problem-solving are important for effective collaboration with team members and stakeholders. Finally, familiarity with database management and cloud computing is becoming increasingly important in the field of Data Science.
Why study Data Science in Malaysia?
There are several reasons why international students should consider studying Data Science in Malaysia. First and foremost, Malaysian universities offer world-class education in this field, with a wide range of courses and programs designed to meet the growing demand for skilled data professionals. In addition, Malaysia is home to a vibrant and diverse student community, providing students with a unique opportunity to learn from and engage with peers from around the world.
Furthermore, Malaysia’s cost of living is relatively low compared to other study destinations, making it an affordable option for international students. Finally, Malaysia’s central location in Southeast Asia provides easy access to other neighboring countries, making it an excellent gateway to the region.
Entry Requirements for studying Data Science in Malaysia
Since Data Science program primarily involves Mathematics, the entry requirements for most Malaysian universities stipulate Mathematics as a mandatory credit. To be eligible for Foundation/Pre-University/Matriculation programmes, a Minimum CGPA of 2.00, which includes a credit in Mathematics/Additional Mathematics, is required. Applicants who have taken A-levels must have at least 2 passes, including a credit in Mathematics and Science, while those who have taken International Baccalaureate (IB) must obtain a minimum of 24 points, to apply for Data Science Programmes.
For those with a Diploma, a minimum CGPA of 2.50 is required. International students must have a minimum IELTS score of 6.0, with no individual band below 6.0, or a TOEFL score of at least 35 (for the internet-based test). It is crucial to verify the most recent and precise information regarding entry requirements by contacting the universities concerned.
Duration of Data Science Degrees in Malaysia
The duration of Data Science programs in Malaysia differs based on the academic level of the program.
- Diploma: 1-2 years
- Bachelors: 3-4 years
- Master’s: 1-2 years
- PhD: 2-4 years
Cost to Study Data Science in Malaysia
The cost of studying these programs in Malaysian universities varies depending on factors such as the institution, program level, and nationality of the student. Generally, diploma programs can cost between USD 2,235 to USD 5,590 per year, while bachelor’s programs can range from USD 3,355 to USD 10,060 per year. Master’s programs may cost between USD 4,470 to USD 11,175 per year, and PhD programs can range from USD 4,500 to USD 13,410 per year.
These costs are an estimate and may vary based on individual universities and programs. Additionally, international students may need to pay higher fees compared to local students. It is advisable to check with the specific universities for the most up-to-date and accurate information on tuition and other fees.
Note: The information provided about universities in Malaysia for various programs may change at any time, so it is important to stay updated and informed about any changes. Admission requirements, program availability, and fees may be revised or updated by the university. To obtain the most recent and reliable information about enrollment and admission, it is recommended that prospective students should confirm with the universities directly or through official websites.
Related fields of Data Science
Data Science is a varied domain that encompasses numerous interconnected areas. Some of the interrelated fields with Data Science are:
- Machine Learning
- Artificial Intelligence
- Data Analytics
- Business Intelligence
- Data Mining
- Big Data Analytics
- Predictive Analytics
- Data Engineering
- Information Management
- Database Administration
Prominent Certification in Data Science
Obtaining a certification in Data Science provides many benefits to both students and professionals. It serves as a validation of their skills and knowledge in the field, making them more attractive to potential employers. Additionally, certification holders often earn higher salaries than their non-certified peers. Certifications also demonstrate a commitment to continuous learning and professional development, which can enhance career opportunities and job security.
Furthermore, certified professionals have access to a broader network of peers and resources, which can help them, stay up-to-date with the latest industry trends and innovations. Ultimately, a Data Science certification can help individuals stand out in a competitive job market and advance their career to new heights.
Here is a list of certifications you can receive:
- Certified Analytics Professional (CAP)
- Microsoft Certified: Azure Data Scientist Associate
- SAS Certified Data Scientist
- Cloudera Certified Data Analyst (CCA Data Analyst)
- IBM Data Science Professional Certificate
- AWS Certified Machine Learning – Specialty
- Google Cloud Professional Data Engineer
What courses will be covered
Some of the courses/ subjects that will be taught in Malaysian universities for Data Science programs include Mathematics for Data Science, Statistics and Probability, Data Analytics and Visualization, Machine Learning, Deep Learning, Natural Language Processing, Data Mining, Big Data Technologies, Cloud Computing, Data Warehousing, Business Intelligence, and Data Ethics and Privacy.
These courses aim to equip students with the necessary technical skills and knowledge to handle various data analysis and processing tasks and make informed business decisions. Additionally, some universities offer elective courses that allow students to specialize in a specific area of data science, such as healthcare analytics, financial analytics, or social media analytics.
Career Opportunities
International students who study or graduate from data science programs in Malaysian universities can have various career opportunities. The field of data science is rapidly growing, and there is a high demand for data science professionals in various industries globally. Graduates can work as data analysts, data engineers, data scientists, business analysts, data architects, data visualization specialists, machine learning engineers, and data consultants.
They can find job opportunities in sectors such as banking and finance, healthcare, e-commerce, retail, education, telecommunications, and technology, among others. Additionally, graduates can also work in research and development, government organizations, or start their own ventures. The skills and knowledge gained from a data science program in Malaysia can be applied to various fields, making it a versatile degree with numerous career opportunities.
FAQs
Q1. What are the career prospects for graduates of Data Science programs in Malaysia?
A: Data Science is a rapidly growing field, and graduates of Data Science programs in Malaysia have a wide range of career opportunities. Graduates can pursue careers as data analysts, data scientists, business analysts, software developers, and more. They can work in various industries, including finance, healthcare, marketing, and government agencies.
Q2. Are there any scholarships available for international students who want to study Data Science in Malaysia?
A: Yes, many universities in Malaysia offer scholarships and financial aid to international students who want to study Data Science. These scholarships cover tuition fees, living expenses, and other expenses related to studying in Malaysia. Students can also explore external scholarship opportunities provided by the government and private organizations.
Q3. Which universities in Malaysia are known for their Data Science programs?
A: There are many universities in Malaysia that offer Data Science programs, but some of the top-ranked universities are Universiti Malaya, Universiti Teknologi Malaysia, and Universiti Tunku Abdul Rahman, among others. These universities offer world-class education, state-of-the-art facilities, and opportunities to conduct research in the field of Data Science.
Q4. Is there a high demand for Data Science professionals in Malaysia?
A: Yes, there is a high demand for Data Science professionals in Malaysia, as the country continues to develop its digital economy. The government has identified Data Science as a key growth area, and many businesses are investing in Data Science to gain insights and improve their operations. This has created a demand for skilled Data Science professionals who can work with large datasets and use advanced analytics to make informed decisions.
Conclusion
Pursuing a degree in Data Science in Malaysia can be an excellent choice for international students. With a rapidly growing demand for skilled professionals in this field, studying Data Science in Malaysia can open up a plethora of career opportunities. Malaysia’s top universities offer world-class education in Data Science, with state-of-the-art facilities and experienced faculty.
With affordable tuition fees, scholarships, and a multicultural environment, international students can have a fulfilling and enriching experience while studying in Malaysia. The diverse curriculum and practical training ensure that students are equipped with the necessary skills and knowledge required for a successful career in Data Science.
