Bachelor of Science (Honours) in Computer Science with a specialism in Data Analytics

Highlights about course

Program Level

Bachelor

Duration

3 Years

Tuition Fees

From RM50,500

Intake

July, March, November, September

    • About APU

      Why choose APU?

      Malaysia’s Premier Digital Tech University

      Malaysia’s Premier Digital Tech University
      No.1 for International Students in Malaysia (QS World University Ranking 2024)

      No.1 for International Students in Malaysia (QS World University Ranking 2025)
      5-Star Excellence Rating SETARA

      5-Star Excellence Rating (SETARA)
      100% Employability Rate

      100% Employability Rate
      Ranked No.16 for International Students in the World

      Ranked No.16 for International Students in the World
      More than 80,000 Graduates & Alumni

      More than 80,000 Graduates & Alumni
      Latest Technologies

      More Than Just A Computer Science Degree

      APU’s BSc (Hons) in Computer Science with a specialism in Data Analytics degree is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.

      Image

      https://www.apu.edu.my/our-courses/undergraduate-studies/school-computing-technology/bsc-hons-information-technology

      Digital Transformation for IR4.0

      Requirements

      Admission Requirements

      General Requirements
      Direct Entry to Level 1 of the Degree
      STPM
      • 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject.

        OR

      • 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM.

        OR

      • 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
      A-Level
      • 2 Passes (Grade A-D) in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.

        OR

      • 2 Passes (Grade A-D) in A-Level with a Credit in Additional Mathematics at SPM/ O-Level/ IGCSE or equivalent.

        OR

      • 2 Passes (Grade A-D) in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ O-Level/ IGCSE or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
      • *Overseas qualification that are equivalent to 12th Grade/A Level/HSC are accepted.
      UEC
      • 5 Grade B Passes in UEC in Science Stream in any subject including Mathematics and one Science or ICT subject.
      • 5 Grade B Passes in UEC in any subject including Additional Mathematics.
      • 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT Subject at SPM or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
      Matriculation/ Foundation
      • A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent.

      Note: The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.

      OR

      • A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
      Direct Entry to Level 2 of the Degree
      ICT Related Diplomas
      • Diploma with a minimum CGPA of 2.50.

      Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.

      Note: Students who do not have a Credit in Additional Mathematics in SPM/O-Level/IGCSE but have an acceptable achievement in Mathematics related subjects during the Foundation which may be equivalent to SPM/O-Level/IGCSE Additional Mathematics, can be accepted into Degree Programmes. Students can be given preferential entry for ICT related subject in SPM/O-Level/ IGCSE.

      Any qualification that APU accepts as equivalent to the above.

      The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA). The qualification and entry requirements for the programmes will be determined based on the “Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)” published by Malaysian Qualifications Agency (MQA).

      English Requirements
      International Students
      • IELTS : 5.0
      • TOEFL IBT : 40
      • Pearson (PTE) : 47
      • MUET : Band 3.5

       

      Programme Outline

      What We Teach

      This programme is specifically designed to provide students with:

      • 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.
      • Degree Level 1

        Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, mathematical and algorithmic skills. Some specialised modules will provide them basic knowledge of underlying computer systems such as Computer Architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

        Common Modules
        • Introduction to Networking
        • Systems Software and Computing Concepts
        • Introduction to Databases
        • Python Programming
        • Systems Analysis and Design
        • Integrated Computer Systems
        • Fundamental of Entrepreneurship
        Specialised Modules
        • Digital Thinking and Innovation
        • Mathematical Concepts for Computing
        • Introduction to Artificial Intelligence
        • Introduction to C Programming

        Degree Level 2

        A broader range of skills will be learnt, in which students will gain better understanding of designing and implementing new software, and solving new computing problems through theoretical and algorithmnic foundations. They will gain solid understanding of platform technology and data analytics through modules in application development and knowledge discovery techniques. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

        Common Modules
        • Innovation Process
        • Research Methods for Computing and Technology
        Specialised Modules
        • Systems and Network Administration
        • System Development Methods
        • Object Oriented Development with Java
        • Web Applications
        • Concurrent Programming
        • Computer Systems Low Level Technique
        • Data Structures
        • Probability and Statistical Modelling
        • Data Management
        • Data Mining and Predictive Modelling

        Internship (16 Weeks)

        Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.

        Degree Level 3

        Students will make use of their previous studies and industrial experience to extend their familiarity in the field of computer science and to refine their personal and professional development. Students will move further into the focus on advanced analytics through business analytics and intelligence modules. A final year project requires them to investigate and develop a solution for a real-world problem – they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.

        Common Modules
        • Venture Building
        • Project Management
        Specialised Modules
        • Investigations in Data Analytics
        • Algorithmics
        • User Experience
        • Advanced Database Systems
        • Text Analytics and Sentiment Analysis
        • Behavioural Science and Marketing Analytics
        • Database Security
        • Optimization and Deep Learning
        • Project in Data Analytics

        MQA Compulsory Subjects*

        • Appreciation of Ethics and Civilisation (M’sian Students)
        • Malay Communication Language (Int’l Students)
        • Philosophy and Current Issues
        • Workplace Professional Skills
        • Integrity and Anti-corruption
        • Co-Curriculum
        (*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.)
        Note: The specialism will appear only in the academic transcript.

        SAS – APU Joint Certificate in Computer Science and Data Analytics

        APU and SAS have signed an MoA in partnership to develop Data Scientists in Malaysia. SAS also has endorsed the UG and PG level programmes in Data Analytics by providing tools and educational material support for learning and research purposes. All UG and PG Data Analytics graduates will receive a Joint Professional Certificate from SAS.

        In addition, students will be awarded an e-Badge, to feature this achievement on their CV and LinkedIn profiles.

        Why Study Study BSc (Hons) in Computer Science with a specialism in Data Analytics?

        Sourcehttps://www.mushroomnetworks.com/

        Graduates will be equipped with knowledge, skills and experience in three major dimensions: Strategic and Commercial application, “hands-on” ICT skills and Statistics & Analytics. The programme is not merely analytics-oriented, but develops the ability to use analytics to drive key success metrics related to yield management and revenue generation in practically any business domain. 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 15,000 professionals.

        The Malaysia Big Data Vision – Demand For Data Science Professionals

        “By the year 2020, it is envisioned that Malaysia will need to reach 15,000 Data Professionals”
        – Multimedia Development Corporation (MDeC)

        “12,000 Big Data scientists are needed within the next five years to spur Malaysia’s data-driven economy”
        – Datuk Seri Idris Jusoh, Higher Education Minister (September 2015)

        “We have partnered with five universities in Malaysia to embed analytics into their computer science curriculum. Also, we are working with these universities to upgrade the syllabus to produce data scientists to address future needs”
        – Paul Moung, Managing Director of IBM Malaysia

        Turning Big Data Into Value – 4Vs

        Source:  MDeC Presentation on Big Data from 2015 APU’s Big Data Week Launch

        Dream Big: Think BIG – Reasons to Study BIG Data:

        1. “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.” – McKinsey Report on BIG DATA

        2. “Starting salaries for data scientists have gone north of $200,000” – Bloomberg

        3. “The Whitehouse Administration is investing $200 Million into big data research projects” – Mushroom Networks

        4. “Data scientists are the new superheroes,” says Pascal Clement, the Head of Amadeus Travel Intelligence in Madrid

        5. “Malaysia needs additional 12,000 Data Scientists” – Ministry of Education

        6.  “Data Scientist: The Sexiest Job of the 21st Century.” – Harvard Business Review

        Data Science @ APU – Fortified Through Partnerships

        The programme has been carefully designed by APU with inputs and content from our partners, comprising 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 ensures that the programme comprehensively addresses all key stakeholders – Technology providers, Employers, Government as well as Students – in its learning outcomes, curriculum content, delivery and 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.

        Graduates from this programme will not only gain an academic qualification from APU, but would also automatically attain a Globally Recognised Professional Industry Certification from SAS. Along the way, graduates would also gain exposure to industrial workshops led by experts from the industry, providing a valuable gateway into future careers

About University

Asia Pacific University (APU)

Malaysia

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Overseas education is leaving your home country and going abroad to pursue further education. Through overseas education, you can avail of long-term degree courses as well as short-term certificate courses to learn a language or upskill yourself.

 

If you are aiming to study abroad, identify your career goals, look for relevant courses and universities abroad, know the tuition fees and other expenditures, prepare well for the entrance exams, apply to shortlisted universities, accept the offer letter from the desired university, apply for a student visa and get ready to jet off! 

The best way to study abroad for free is to avail of full-funded scholarships or university grants. The fully-funded scholarships are typically awarded to students who excel in academics or extracurricular activities and cover their tuition fees, travel expenses, accommodation, and other living expenses.  

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Choose to study abroad to leverage better learning opportunities, see the world, meet new people, boost your resume, develop a broader perspective, become culturally competent, and avail yourself of lucrative job opportunities globally. 

Choose to study abroad to leverage better learning opportunities, see the world, meet new people, boost your resume, develop a broader perspective, become culturally competent, and avail yourself of lucrative job opportunities globally. 

The best way to go abroad for studies is to get in touch with reputed study-abroad consultants. They can help you explore courses aligned with your academic interests, guide you in preparing for entrance exams, help you with university and student visa applications, and even provide post-arrival assistance.

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