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

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APU University Malaysia

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

university icon
APU University Malaysia

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

Qualification
Bachelor's Degree
Duration
3 years
Intake
MarMarJulJulSepSep
English Requirement
IELTS 5.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
Yearly Tuition fees
Year Fee
1st YearMYR 32,000
2nd YearMYR 33,100
3rd YearMYR 34,400
Other Fees
Description Fee
Library & Personal Bond Deposit (Refundable)MYR 1,500
University Administrative FeesMYR 5,800
Visa and InsuranceMYR 2,550

Would you like to apply to
APU University Malaysia ?

Embark on a transformative journey with APU University Malaysia Bachelor's (Hons) in Computer Science with a specialism in Data Analytics program. Explore a myriad of invaluable insights and skills, detailed below:

What you will learn in a glance?

In the first year, students will learn fundamental skills required by IT professionals. They will develop a basic understanding of programming, mathematical concepts, and algorithmic skills. Specialized modules will provide them with basic knowledge of underlying computer systems such as computer architecture, operating systems, networking, and databases. The curriculum will also focus on developing personal and organizational skills, as well as nurturing creativity and innovation. By the end of this level, students will have a strong foundation in programming, mathematics, algorithms, and a basic understanding of computer systems.

Moving into the second year,  students will acquire a broader range of skills in computer science. They will gain a better understanding of designing and implementing new software and solving computing problems through theoretical and algorithmic foundations. The curriculum will cover platform technologies, data analytics, application development, and knowledge discovery techniques. This level aims to provide students with a solid understanding of platform technology and the ability to analyze data. Creativity, innovation, and independent learning will continue to be nurtured to prepare students for the workplace. By the end of this level, students will have developed expertise in software design, problem-solving, platform technologies, data analytics, and application development.

During the 16-week internship or industrial training,  students will acquire a broader range of skills in computer science. They will gain a better understanding of designing and implementing new software and solving computing problems through theoretical and algorithmic foundations. The curriculum will cover platform technologies, data analytics, application development, and knowledge discovery techniques. This level aims to provide students with a solid understanding of platform technology and the ability to analyze data. Creativity, innovation, and independent learning will continue to be nurtured to prepare students for the workplace. By the end of this level, students will have developed expertise in software design, problem-solving, platform technologies, data analytics, and application development.

In the third year, students will builds upon the foundation of previous studies and industrial experience. Students will further extend their familiarity with computer science and refine their personal and professional development. This level places a strong focus on advanced analytics through business analytics and intelligence modules. Students will gain expertise in analyzing and interpreting data to derive meaningful insights for decision-making. The final year project will require students to investigate and develop a solution for a real-world problem, demonstrating their ability to combine technical knowledge, critical thinking, and analytical skills. This project will result in the creation of a personal achievement portfolio. By the end of this level, students will have advanced their expertise in computer science, specialized in advanced analytics, and demonstrated their abilities to solve complex real-world problems.

Dual Degrees from APU and DMU United Kindom

Students who joined Bachelor (Hons) in Computer Science with a specialism in Data Analytics at APU University Malaysia will have the option to apply for the APU-DMU Dual Degree Scheme. Under this Scheme, students will be able to get 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia, and 1 from De Montfort University (DMU), UK. please note this is optional and costs GBP 375 Per year. For more information about this Scheme (Click here)

Year 1

COMMON MODULES

  • Digital Thinking and Innovation
  • Intercultural Awareness and Cultural Diversity
  • System Analysis & Design
  • Python Programming 
  • Mathematical Concepts for Computing
  • Operating Systems & Computer Architecture
  • Introduction to Networking
  • Introduction to Databases
  • Fundamental of Entrepreneurship

SPECIALISED MODULES

  • Introduction to Artificial Intelligence
  • Introduction to C Programming

Year 2

COMMON MODULES

  • Object Oriented Development with Java
  • System Development Methods
  • Programming for Data Analysis
  • Innovation Process
  • Research Methods for Computing and Technology

SPECIALISED MODULES

  • Computing Theory
  • Data Structures
  • Concurrent Programming
  • Data Management
  • Business Intelligence Systems
  • Data Mining and Predictive Modelling
  • Probability & Statistical Modelling

Year 3

COMMON MODULES

  • Venture Building
  • Project Management

SPECIALISED MODULES

  • Algorithmics
  • Real-Time Systems
  • Behavioral Science and Marketing Analytics
  • Text Analytics and Sentiment Analysis
  • Emergent Technology
  • Optimisation and Deep Learning
  • Database Security
  • Investigations in Computer Science
  • Project in Computer Science
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