BSc (Hons) in Computer Science with a specialism in Data Analytics | Asia Pacific University (APU)

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

Duration:
3 Years (6 Semesters)

Award:
APU, Malaysia

Intakes:
6 Oct 2020
26 Nov 2020
​25 Feb 2021

APU-DMU Dual Degree Programme

Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

To know more about APU-DMU Dual Scheme, please click HERE
 


Digital Transformation for IR4.0

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.

Admission Requirements:

ProgrammesGeneral 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 (GPA 2.0) in any subject with a credit in Additional Mathematics at SPM.

OR

• 2 Passes in STPM with minimum Grade C (GPA 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

Overseas
qualification that
are equivalent to
12th Grade/ A-Level/
HSC are accepted.

• 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.

OR

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

OR

• 2 Passes in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ IGCSE/ O-Level or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

UEC

• 5 Grade B Passes in UEC 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 including Mathematics. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

FOUNDATION/
MATRICULATION

• 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.

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

ENGLISH REQUIREMENTS

International Students

ProgrammesGeneral Requirements
BACHELOR (HONS) DEGREE PROGRAMMES• IELTS : 5.0 
• TOEFL PBT : 410-417 
• TOEFL IBT : 35-45
• Pearson (PTE) : 36
• MUET : Band 3 

Please note that under Ministry of Higher Education regulations, only students who have achieved the minimum requirement in the English Language proficiency assessment as indicated above will be allowed to continue their studies in the main study programme. Students who do not have the required English Language achievement may apply for a student visa on conditional basis and are allowed to enrol in an English Language Certification programme at APU upon arrival in Malaysia and, subsequently, appear for the IELTS/TOEFL/PTE/MUET assessment.

Students who are unable to obtain the required level of English Competency during the maximum 12 months’ period, will not be allowed to pursue their studies in the main programme and will have to return to their home country.

Students from English speaking countries and those with qualifications taught in English (IGCSE, A-Levels, IB, American High School Diploma etc) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Note: 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).


Joint Professional Certification by SAS

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 received a Joint Professional Certificate from SAS.


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



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 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.


What You Will Study:

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

Specialised Modules
  • Digital Thinking and Innovation
  • Introduction to Management
  • System Analysis & Design
  • Programming with Python
  • Mathematical Concepts for Computing
  • Operating Systems & Computer Architecture
  • Introduction to Networking
  • Introduction to Databases
  • 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

Specialised Modules
  • Object Oriented Development with Java
  • System Development Methods
  • Programming for Data Analysis
  • Creativity & Innovation
  • Research Methods for Computing and Technology
  • Computing Theory
  • Data Structures
  • Concurrent Programming
  • Data Management
  • Business Intelligence Systems
  • Data Mining and Predictive Modelling
  • Probability & Statistical 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

Specialised and Option Modules
  • Innovation Management & New Product Development
  • Project Management
  • Algorithmics
  • Real-Time Systems
  • Behavioral Science and Marketing Analytics
  • Text Analytics and Sentiment Analysis
  • Emergent Technology
  • Optimisation and Deep Learning
  • Database Security
  • Investigations in Data Analytics
  • Data Analytics Project

Note: The specialism will appear only in the academic transcript.

MQA Compulsory Subjects*

  • Ethnic Relations (M’sian Students)
  • Islamic & Asian Civilisation (M’sian Students)                                         
  • Malaysian Studies (Int’l Students)
  • Malay Communication Language (Int’l Students)
  • Workplace Professional Communication Skills
  • Employee & Employment Trends
  • Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency)


Career Options:

  • Software Tool Developer
  • Data Analyst
  • Data Scientist
  • Data Wrangler/Munger/Miner
  • Chief Technology Officer (CTO)
  • Data Analytics Manager
  • Business Process Engineer
  • Business Analyst Manager
  • Data Innovation Manager
  • Business Intelligence Developer
  • IT Risk Analyst
  • Advance Analytics Professional
  • Data Engineer
  • Business Intelligence Analyst
  • Machine Learning Scientist
  • Business Intelligence Solutions Architect
  • Analytics Manager
  • Data Visualization Developer

Course Fees:

Malaysian StudentsInternational Students

Year 1: RM 28,200
Year 2: RM 29,000
Year 3: RM 29,800
Total: RM 87,000

Year 1: RM 28,600 (USD 7,150)
Year 2: RM 29,700 (USD 7,430)
Year 3: RM 29,900 (USD 7,480)
Total: RM 88,200 (USD 22,060)

* Fees stated above do not include Deposits and other Miscellaneous Fees. Please refer to Fee Guide for details.


MQA Accreditations:

(R/481/6/0506)(06/24)(MQA/FA4622)
All information is correct at the time of publication, but is subject to change in the interest of continuing improvement.