APU University BSc of CS in Data Analytics

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Get ready to learn with APU BSc of CS in Data Analytics in Malaysia. This program teach students a solid foundation in computer science, along with specialized skills in data analysis. Explore the exciting world of data, learning how to translate complex information into applicable strategies. The curriculum, designed with the modern industry in mind, integrates practical learning with theoretical knowledge, preparing students for the growing demand in modern industries. Enroll and step into the world of data analytics, where helps you to shape your future.

Program Outline

APU BSc of CS in Data Analytics aims to teach students to:

• Learn how to build and organize computer systems with a special focus on data analytics – that is the science of making sense of lots of information.
• Think critically about different ways of creating complicated computer programs, including the design models, programming languages, steps, and tools used.
• Spot and make the most of chances to use new tech tools and ideas in data analytics.

Degree Level 1

In year 1, students of APU BSc CS in Data Analytics will learn the basic skills that every tech professional needs. They will learn how to program, and get good at math and solving the problems. Some special parts of the course will teach them about how computers work on the inside – things like computer structure, how they operate, how they link and share information, and how they store data. They will also learn skills to help them work well in a team and on their own, and to think creatively and create new ideas.

Degree Level 2

In year 2, students will learn some of the skills in this program. They will get better at creating new computer programs and creating solutions to new computer problems, using theories and methods to solve problems. They will really understand how platform technology and data analysis works, through parts of the course that teach them how to develop applications and find out new things from data. APU will also encourage them to think creatively and learn on their own, so they are ready to do well at work.

Internship

Students will get a chance to work in a real job setting for at least 16 weeks. This practical experience, which we call an Internship or Industrial Training, will help them shift smoothly from learning in class to working in the real world.

Degree Level 3

In year 3, students will build on what they have already learned and any work experience they have had to learn more about their understanding of computer science. They will also work on improving their personal and professional skills. The course will have a strong focus on advanced analytics, which is about understanding data in a business setting. In their final year, students will work on a big project. They will need to find a solution for a real problem, showing they can use their tech knowledge, thinking skills, and problem solving abilities. The result will be a portfolio of work they can be proud of.

MQA Compulsory Subjects

• Appreciation of Ethics and Civilization (Malaysian Students)
• Malay Communication Language (Int’l Students)
• Philosophy and Current Issues
• Workplace Professional Skills
• Integrity and Anti-corruption
• Co-Curriculum

APU-DMU Dual Degree

Students enrolled in the Bachelor’s Degree Program are presented with the opportunity to join the APU-DMU Dual Degree Scheme. By choosing this pathway, upon graduation, students will be awarded two Degree Certificates & Transcripts: one from Asia Pacific University (APU) in Malaysia and another from De Montfort University (DMU) in the UK.

Duration	Intakes
3 Years (6 Semesters)	14 Mar 2024 | 25 Jul 2024 24 Sep 2024 | 21 Nov 2024

Admission Requirement

General Requirements
Direct Entry to Level 1 of 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 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/O-Level/IGCSE or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Program.
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 Program.
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 Program.
Direct Entry to Level 2 of 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.

English Requirements for International Students

• IELTS : 5.0
• TOEFL iBT : 40
• Pearson (PTE) : 47
• MUET : Band 3.5

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 Students	International Students
Year 1: RM 29,800	Year 1: RM 29,800 (USD 7,270)
Year 2: RM 30,900	Year 2: RM 31,500 (USD 7,680)
Year 3: RM 31,800	Year 3: RM 32,200 (USD 7,855)
Total: RM 92,500	Total: RM 93,500 (USD 22,805)