Study at the Best Data Science or Data Analytics Universities in Malaysia

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Choosing the right course to study in Malaysia after high school is one of the most important decisions you can make in your life. In addition, when choosing the right course to study in Malaysia, one of the criteria that students should look at is the job demand. If you don’t plan carefully, you may end up studying a course that has no job demand after you graduate. This would be an incredible waste of your time and money. With the wide variety of courses available to a student, the time after high school or Pre-University can be a confusing one if not guided properly by an experienced and knowledgeable education counselor.

There is a tremendous demand 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.

Choosing to study 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.

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How to Choose the Best University in Malaysia to Study Data Science or Data Analytics

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Harold, Diploma in Business IT at 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.

In 2015, only 80 data scientists in local industry in Malaysia, targeting 1,500 by 2020. MALAYSIA’S national ICT custodian Multimedia Development Corporation (MDeC) said that seven public and private institutes of higher learning in country will be offering data science courses to university students, graduates and working professionals for careers in data analytics.

Malaysia’s national ICT agency Multimedia Development Corporation (MDeC) has unveiled a plan, supported by seven public and private institutes of higher learning (IHLs), to increase the number of local data scientists from the current 80 to 2000 by the year 2020.

Two of the top award-winning private universities chosen are

1. Asia Pacific University (APU) – offers the UK Dual Award BSc (Hons) in Computer Science with specialism in Data Analytics
2. Multimedia University (MMU) – offers the Bachelor of Computer Science (Hons.) Specialising in Data Science.

Important Criteria to Consider When Choosing the Best Data Science or Data Analytics Course at a Top University in Malaysia

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Jerry Cheong, Diploma in ICT at Asia Pacific University

• Is the course popular at that college or university? Quality/reputation/ranking of the private college in Malaysia
• Awards, achievements & ranking in the field of Data Science or Information Technology
• How many awards has the university won in Information Technology or Computer Science?
• Which are the awarding bodies? Are the certificates recognised for enter at all universities overseas?
• Are the courses recognised and approved by the Ministry of Education Malaysia and accredited by the Malaysian Qualifications Audit (MQA)?
• Subjects offered in the Data Science Course. Do they help you to achieve your undergraduate academic goals and equip you well to handle the challenges of the working environment?
• What is the class size? Will you have personal attention from the lecturer?
• Do they have enough students to start a class?
•  How many students do they have studying that course at that university?
•  What is the duration of the course?
•  Quality of lecturers. What are their qualifications? How many years of experience in teaching?
• Faculty contact/classes taught by full-time qualified & experienced faculty
•  Ask your friends who have studied there for their opinion. Ask your friends who are currently studying there as well.
• Entry requirements
• How much money do I have to pay for the course and cost of living? Ask your parents. Note that you will need to have enough to pay the tuition fees as well as your cost of living. (tuition, hostel, food, transportation, etc.)
• How much are the tuition fees? Does it include the external exam fees and other fees?
• How much is on-campus accommodation?
• How much is off-campus accommodation? Note that it might be cheaper to find off campus accommodation on your own with friends. Is the accommodations near eateries, banks, entertainment, public transportation, etc.?
• What is the student culture at the university? (English-speaking environment, ambitious, serious about studies, lifestyle or party university, etc) The language spoken mostly at the college by the students may also matter if you don’t know Mandarin or BM or English. If most of the students speak Mandarin at that university then it will not help you to improve your English. Having a good command of the English language helps you to get good jobs and promotions.
• What are the Extra-curricular activities available? (Student organisations, clubs, sports, etc.)

What is Data Science or Big Data and How will it Impact Jobs in Malaysia?

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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.

MALAYSIA has made clear the need to leverage on big data to propel itself into a developed digital economy, with one minister declaring it as key to the nation’s aspirations. The groundwork has been laid down, with the relevant agencies and certain technology multinationals having put their heads together to develop a big data policy framework. There are also plans for the country to appoint a chief data scientist over the next few years, a move aimed at developing local capabilities in data analytics.

In 2015, only 80 data scientists in local industry in Malaysia, targeting 1,500 by 2020. MALAYSIA’S national ICT custodian Multimedia Development Corporation (MDeC) said that seven public and private institutes of higher learning in country will be offering data science courses to university students, graduates and working professionals for careers in data analytics.

Data Science Job has High Demand in Malaysia

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Vickey, Diploma in IT at Multimedia University (MMU)

BIG data seems to be in full throttle, developing exponential growth, looking at the amount of data being generated today. But what is big data? In a nutshell, the word literally means massive amounts of information that cannot be properly processed on a worksheet, database management system or across traditional software that people are accustomed to.

What organisations need to understand is data is no longer the sort of information that is used in the past, such as sales and financial related data, instead, real time information that needs to be constantly captured and analysed. Big data also encompasses analysing massive amounts of information an making good business out of it.

That said, the industry is reported to be lacking in data professionals as big data is a new and complex field. And due to its complexity, big data is not something existing institutions can develop overnight. That is basically why a specialised company like The Centre of Applied Data Science (CADS) is needed. It is the kind of firm that understands the nature of big data, realises the need for a holistic approach towards developing data professionals and is able to see the big picture, including the business that can be churned out of it.

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.

“With a little bit of exposure and information to what big data has to offer and opportunities that lie ahead, this is really going to be one of the most exciting careers in the future, apart from artificial intelligence, robotics and the internet of things. I think a career in big data will easily be among the top 10 in the near future,” said CADS managing director Cheam Tat Inn.

CADS is Asean’s first and only one-stop platform and centre of excellence to empower the next generation of data professionals. Committed to delivering the highest standard in data science education, the centre aims to cultivate and mentor future data professionals to contribute effectively towards organisations in Malaysia and the Asean region, through accelerated and rigorous programmes and mentorship stints, unlike any other presently available in Southeast Asia.

The centre delivers programmes, many of which are through collaborations with a number of world-leading organisations such as the Harvard Business School, which targets top level executives who wish to understand big data analytics and its relevance to their business.

There is also a programme which is delivered in partnership with a company based in New York, called the Data Incubator programme. This programme is locally endorsed by the Malaysia Digital Economy Corporation (MDEC) andHuman Resources Development Fund (HRDF).

There are three main streams data professionals can branch out into – data scientists, data analysts and data engineers. While a career in data engineering would revolve around a job that is quite technical (imagine a mechanic working on a car), he or she is said to look at data a little differently compared to a data analyst, who is trained in programming skills, with a little aptitude in statistics and comes from a mathematical background.

Data scientists also are put on a higher pedestal, as this person is required to deal with higher levels of big data technicality and complexity.

“Soft skills are also very important and is also key in this profession because you need to translate complex situations into simple business language.

“A data professional must be able to take all the information, develop a mathematical formula, come up with a conclusion and present it to the top management – that is the skill required,” Cheam stressed.

To date, CADS has developed more than 750 data professionals and is looking at establishing more partnerships. Their latest is with Coursera, the largest, massive open online courses platform in the world, which offers a host of data science programmes from reputable universities around the globe, allowing one to attain professionally recognised and accredited qualifications.

For organisations to remain competitive and relevant, big data is no longer an option as it will become mainstream in the very near future. If organisations are not sensitive to big data, it will face huge impact. All it takes is one bad user experience and an organisation will be set back for days.

“The power of big data analytics can not only help in terms of competitiveness, but relevancy in the future. With all this information, you will then know how you can evolve and proactively change the company.”

High Salary for Data Science or Big Data Analytics in Malaysia

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Jerry Cheong, Diploma in ICT at Asia Pacific University

Asean Data Analytics Exchange (ADAX) CEO Sharala Axryd believes data professionals such as data engineers, data analysts and data scientists are the “sexiest jobs” of the 21st century.

Sharala told The Malaysian Reserve in a recent email interview that these careers are in hot demand due to their highly valued skill sets.

“The world has positioned data professionals as jobs of the future, as the prospects of data science and analytics are endless.

“Besides a healthy remuneration package, data professionals are highly sought after and are needed across multiple industries within the next few years,” Sharala said.

She further said local data science fresh graduates can demand starting pay in the range of RM4,000-RM8,000 — making it the highest paid entrylevel job in the country today.

An experienced professional in the field can demand up to RM15,000, she said. “Data has become the new oil, as companies are constantly inundated with data that they need deciphering in order to create value for their products, services, customers and themselves.”

Sharala opined that it is important for the relevant bodies to create awareness among both youths and their parents, so that the latter can encourage their children to pursue beyond “traditional” jobs.

“I believe there will never be a shortage of data now and in the future, but there is a shortage of data professionals.

“People have no idea how huge is the demand for data scientists, data engineers and data analysts,” Sharala said.

She acknowledged many enterprises are struggling with the complexity of today’s big data and data science ecosystem.

“Though they recognise the opportunity of emerging practices, the shortage of trained data professionals remains at the top of the list of data science challenges that enterprises face.”

Best UK Dual Award BSc (Hons) in Computer Science with specialism in Data Analytics in Malaysia at Top Ranked Asia Pacific University (APU)

Asia Pacific University (APU) is ranked Tier 5 or “Excellent” in the SETARA 2017 rating by MQA. 95% of APU Graduates are employed before graduation.

Having won hundreds of awards in computing and IT in Malaysia and globally, Asia Pacific University is the best university in Malaysia to study Computer Science with specialism in Data Analytics.

Upon graduation, students will be a degree will be awarded by Asia Pacific University and also Staffordshire University, UK. Students need to choose the best university or college in Malaysia to study Computer Science with specialism in Data Analytics so that they can gain the necessary knowledge and skills to succeed in the competitive world of IT.

Students after SPM or O-Levels may go for the Foundation in Computing at Asia Pacific University for 1 year before continuing on to the 3-year UK Dual Award  Bachelor of Science (Hons) in Computer Science with specialism in Data Analytics degree.

With 3 credits in SPM or O-Levels including Maths, students may go for the 2-year Diploma in Information & Communications Technology or Diploma in Information & Communications Technology with specialism in Software Engineering and then enter into Year 2 of the Data Analytics degree at Asia Pacific University. Pre-University students with the relevant results in STPM, A-Levels, SAM, CPU, AUSMAT, etc. can enter directly into Year 1 of the Computer Science with specialism in Data Analytics degree.

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, APU 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.

Highly Acclaimed UK Dual Award BSc (Hons) in Computer Science with specialism in Data Analytics at Award-Winning Asia Pacific University (APU)

Graduates from Asia Pacific University will receive a UK Dual Award degree from Staffordshire University. An impressive 95% of APU’s graduates obtain jobs before graduation.

The School of Computing & Technology at Asia Pacific University (APU) is the oldest and most established school. The school has a strong presence in the industry and is an obvious choice among the school leavers.

The school offers a wide variety of specialised programmes. Asia Pacific University’s programmes are very much industry driven and relevant and our graduates are global citizens and industry ready.

Alumni of the School have progressed into a number of significant careers in leading multinational technology based companies. In line with APU’s vision, the School aims to be a leading provider of high quality computing and technology education and a contributor to research at the national and international level.

This is emphasised by our mission to provide high quality and internationally recognised and benchmarked Technology education and to be recognised for innovative teaching methods and educational activities.

The School of Computing & Technology at Asia Pacific University aims to:

• Facilitate your academic and vocational progression by developing knowledge, key skills and capacity for independent and lifelong learning
• Develop your skills in imaginative problem-solving and decision-making
• Develop your Personal Development Portfolio to support your career aspirations
• Provide a stimulating, interactive and accessible course of study to give you a sound grasp of information technology
• knowledge, analysis and contemporary issues which you can develop and apply in future employment
• Develop your imagination and innovative abilities to show initiative and creativity in your work
• Develop your intelligence, ingenuity, inventiveness and independence as well as your communication skills

Asia Pacific University’s Collaborative Partners:

Course Structure for the BSc (Hons) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

Group study room in the library at Asia Pacific University

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.

Year 1 Subjects for the BSC (HONS) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

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The first year is packed with modules that provide the fundamental skills required by every IT professional. Systems analysis & design and introduction to programming in an appropriate language provide a foundation in the area of software development.

A sound grasp of mathematical techniques and skills in algorithmic thinking are important pre-requisites for your second and third year studies in this area. Computer architecture, operating systems, networks, databases, data analytics, behavioural science and marketing analytics are the area of the platform or underlying analytics systems. Introduction to management introduces the third key area, understanding personal and organisational development, along with independent learning and teamwork skills.

Common Modules

• Introduction to Management
• System Analysis & Design
• Fundamentals of Software Development
• Mathematical Concepts for Computing
• Operating Systems & Computer Architecture
• Introduction to Networking
• Introduction to Databases

Specialised Modules

• Introduction to C Programming
• Introduction to Data Analytics
• Behavioural Science and Marketing Analytics

In addition to the above, all students are also required to successfully complete General Studies modules as stipulated by the Malaysian Qualification Agency, as well as fulfill credit requirements for Co-Curricular Activities.

Year 2 Subjects for the BSC (HONS) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

Top students from all over Malaysia choose to study at Asia Pacific University

Computer Science involves designing and implementing software, devising new ways to use computers and developing effective ways to solve computing problems. It spans a wide range, from theoretical and algorithmic foundations to cutting edge developments in all areas of computing. Successful professionals with a degree in computer science are flexible in performing a range of computing tasks, and extend theories and practice in every area of computing.

In your second year, the core modules take development skills to the next level and deepen your understanding of platform technology, while specialised modules allow you to go further into statistical modelling, data mining and predictive modelling.

Professional development, fostering creativity and innovation in individuals and teams, and independent learning are continuous themes in your studies at APU. This year ends with an internship that offers you an opportunity to move outside the classroom and show your professionalism in the workplace.

Common Modules

• Object Oriented Development with Java
• System Development Methods
• Professional & Enterprise Development
• Creativity & Innovation
• Research Methods for Computing & Technology

Specialised and Option Modules

• Computing Theory
• Data Structures
• Concurrent Programming
• System & Network Administration
• Computer Systems & Low Level Techniques
• Probability & Statistical Modelling
• Data Mining & Predictive Modelling

INTERNSHIP

After the completion of Level 2 students will undertake a short Internship / Industrial Training. This will prepare them for a smooth transition from the classroom to the world of Computer Science.

Year 3 Subjects for the BSC (HONS) in Computer Science with specialism in Data Analytics at Asia Pacific University (APU)

Computing class at Asia Pacific University’s new campus

In your third year you draw on your previous studies and industrial experience to refine your personal and professional development in the field of computer science, supported by specialised training in project management and new product development.

Other core modules help you develop new skills in advanced programming techniques and algorithms, and evaluating applications at the frontiers of current technology. Specialised modules allow you to extend the capabilities you developed from previous studies of databases and analytics specifically in the area of database securities, text analytics, sentiment analysis, business intelligence, and optimisation concepts.

For your final year project, you investigate and develop a solution for a real world problem. This provides

proof of your ability to combine technical knowledge, critical thinking, and analytical skills to achieve a goal, which is an important addition to your personal achievement portfolio.

Common Modules

• Innovation Management & New Product Development
• Project Management

Specialised & Option Modules

• 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

Studying Data Science at Top 300 Ranked Multimedia University (MMU)

Multimedia University (MMU) is ranked Top 300 QS World University Rankings in Computer Science and Information Systems, 2017

Multimedia University (MMU) in Malaysia is ranked in the Top 300 QS World University Rankings in Computer Science and Information Systems, 2017. 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. Top Ranked Multimedia University (MMU) Cyberjaya offers the Bachelor of Computer Science (Hons.) Specialising in Data Science.

Students after SPM or 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 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 PTPN Loan for the Foundation in Information Technology as well as the diploma & degree programmes.

Multimedia University (MMU) is ranked 179th in Asia according to Quacquarelli Symonds (QS) World University rankings for 2018. Having won hundreds of awards, Multimedia University (MMU) offers the best courses in Computer Science in Malaysia. Therefore, it is undeniably the best university in Malaysia for students to study the Bachelor of Computer Science (Hons.) degree that’s also affordable.  97% of Multimedia University (MMU) students are employed within six months of graduation.

Outstanding Computer Science Majoring in Data Science Degree Course in Malaysia at Top Ranked Multimedia University (MMU) Cyberjaya

Multimedia University (MMU) Cyberjaya 80-Hectare campus is equipped with various intelligent features such as multimedia learning facilities, intelligent building systems, a digital library, and an integrated campus management system designed to nurture innovative management graduates.

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.

Career Prospects: Researcher, Programmer, Software Development, Project Manager, System Analyst, Database Administrator, IS/SE Consultant, Game Producer, Game Artist & Visualiser, Data Analyst, Data Scientist, Data Engineer.

List of Subjects offered in the Computer Science Degree Majoring in Data Science at Multimedia University (MMU) at Cyberjaya

Year 1 Computer Science Subjects at the Faculty of Computing & Informatics Multimedia University (MMU) Cyberjaya

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Vickey, Diploma in IT at Multimedia University (MMU)

• 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
• U2
• U4

Year 2 Computer Science Subjects at the Faculty of Computing & Informatics Multimedia University (MMU) Cyberjaya

• Software Engineering Fundamentals
• Operating Systems
• Computer Networks
• Object Oriented Analysis & Design
• Algorithm Design & Analysis
• Elective 1
• Industrial Training
• U3

Specialisation: Data Science

• Introduction to Data Science
• Data Mining

Year 3 Computer Science Subjects at the Faculty of Computing & Informatics Multimedia University (MMU) Cyberjaya

Students at Multimedia University (MMU) have access to some of the latest technology and best facilities in Malaysia

• Final Year Project
• Elective 2
• Elective 3
• U1
• U1
• Workplace Communication

Specialisation: Data Science

• Statistical Data Analysis
• Data Visualisation
• Specialisation Elective 1
• Specialisation Elective 2

Why Study Computer Science at Award-Winning Multimedia University (MMU) in Malaysia

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Vickey, Diploma in IT at Multimedia University (MMU)

Both Multimedia University’s Faculty of Computing & Informatics and Faculty of Information Science & Technology incorporate industry-led curriculum so you will gain not only technical knowledge and skills, but also relevant soft and management skills. Many of the lecturers are professionals and specialists in their fields who will be able to impart real-life experience and solutions to your learning.

Multimedia University (MMU) also has strong collaborations with global industry leaders who are ready to share their knowledge of cutting-edge innovative technologies to keep you up-to-the-minute with current and future industry needs. MMU was the first private university approved by the Malaysian government.

Multimedia University’s collaboration partners include multinational corporations such as Microsoft, IBM, Dell-EMC, Cisco, Oracle, Intel, Cloudera, Nokia, EC Council, Google, Sun, Novell, Shell, BT, Celcom, CA, and Motorola. Through such partnerships, our staff and students are able to leverage on the latest technologies driving the Malaysian and global ICT scenes.

Technologically advanced SMART Labs at Multimedia University (MMU)

To give MMU students an extra edge in the job market, the university also conducts numerous professional certification programs via learning centers such as the Microsoft IT Academy, the Cisco Networking Academy, the Oracle Workforce Development Programme, the Cloudera Academic Partnership Programme, the Sun Academic Initiative and the Novell (Micro Focus) Academic Training Partner.

Vendor academy programs (Microsoft, Cisco, Oracle, Novell/LPI, Juniper, IBM). Industry-linked Final Year Project. Lectures/Seminars by Industry Partners Visits to IT companies. Incorporation of industrial-standard software and tools in the course content Participation in competitions (e.g. programming competitions)

A study by Gartner and MSC Malaysia found that Multimedia University (MMU) is among the top five universities preferred by major ICT players for graduate employment – a testament to the quality of MMU’s academicians, curriculum, student development programmes and our solid reputation with the industries.

In this constantly evolving digital world, Information and Communication Technology is more important than ever. As ICT continues to transform the way people communicate, learn, work and play, the career prospects for IT graduates are both diverse and rewarding. Whether it’s Bioinformatics or Data Communication, Artificial Intelligence or Information Technology Management, a degree from MMU will definitely hold you in good stead for the future.

The Best Reasons to Study Computer Science & Information Technology at Multimedia University (MMU)

Computer lab at Multimedia University (MMU)

• Ranked World’s Top 300 University for Computer Science & Information Systems
• Academically and professionally certified lecturers (CCNA, CCNP, MCP, MCTS, MTA and Java)
• One of the best teaching labs in private universities, equipped with world-class research and teaching facilities such as SMART and Innov8 labs
• Strong collaborations with multi-national companies such as Cisco Networking Academy, Microsoft IT Academy, Oracle Workforce Development Program, Novell Academic Training Partner, Linux Professional Institute and EC-Council
• Forefront Curriculum Design and Industry Placement Opportunities to bridge academic studies with practical experience
• Be part of a globally ranked university that is listed in the Top 200 QS World University Rankings and continues to strive with solid breakthrough to be at the 179th spot in QS Asia University Rankings.
• Study alongside 1,500 international students from more than 70 countries.
• Experience the best and latest technologies from MMU’s collaborations with major ICT players such as ZTE, Nokia, Intel, Microsoft, Cisco and Motorola.
• Get exposure to some of the best practices of the world’s best universities such as MIT, Stanford, Carnegie Mellon, Harvard, USC and Tokyo University.
• Be enthused with Start-up Schemes from the Entrepreneur Development Centre (EDC) to encourage innovation and entrepreneurship ventures.

EduSpiral Consultant Services – Your Online Education Advisor

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EduSpiral Consultant Services is a full-service educational counseling & planning firm that guides students from across Malaysia to help them choose the right course and university.

EduSpiral Consultant Services represents the best colleges and universities in Malaysia offering a wide range of choices for students to choose from. These colleges and universities offer value for money in the quality of education and excellent facilities that you get.

These universities and colleges are chosen by EduSpiral because they represent the best in their fields in Malaysia and affordable. EduSpiral provides in-depth information and counseling on their courses so that students are able to make the right choice.

If you are still not sure what to study, please contact us and we will send you a free EduSpiral Career Assessment Form.

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