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BSc (Hons) in Computer Science with a specialism in Data Analytics
Course overview
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | March, July, September, November |
| Tuition (Local students) | ₹ 1,906,409 |
| Tuition (Foreign students) | ₹ 2,093,030 |
About
APU's Bachelor of Science (Honours) in Computer Science with a specialty in Data Analytics degree is designed to give you an advantage in the latest technologies aligned with the Industrial Revolution 4.0.
This course provides an opportunity for students to be familiar with a broad range of information technologies and how they are used. It also aims to ensure that students have the ability to develop technical knowledge, skills, and background in the design and organisation of computer systems with an emphasis on data analytics. Students will be equipped with the ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
Admissions
Intakes
Fees
Tuition
- ₹ 1,906,409
- Local students
- ₹ 2,093,030
- Foreign students
Estimated cost as reported by the Institution.
Application
- ₹ 2,871
- Local students
- ₹ 13,398
- Foreign students
Student Visa
- ₹ 45,937
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry 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. |
|
A-LEVEL |
• 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. |
| UEC |
• 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject. |
|
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.
|
| 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 |
Curriculum
YEAR 1
Common Modules
- Introduction to Management
- Systems Analysis & Design
- Fundamentals of Software Development
- Mathematical Concepts for Computing
- Operating System & Computer Architecture
- Introduction to Networking
- Introduction to Databases
- Computing & IT in the Workplace
Specialised modules
- Introduction to C Programming
- Introduction to Artificial Intelligence
- 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
Common Modules
- Object-Oriented Development with Java
- System Development Methods
- Professional & Enterprise Development
- Creativity & Innovation
- Research Methods for Computing & Technology
Specialised modules
- Computing Theory
- Data Structures
- Concurrent Programming
- Data Management
- Business Intelligence Systems
- Probability & Statistical Modelling
- Data Mining & Predictive Modelling
Internship (12 weeks)
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
Common Modules
- Innovation Management & New Product Development
- Project Management
Specialised modules
- Algorithmics
- Real-Time Systems
- Emergent Technology
- Text Analytics & Sentiment Analysis
- Behavioural Science and Marketing Analytics
- Database Security
- Optimisation Concepts for Data Science
- Investigation in Computer Science
- Computer Science Projects