Bachelor in Data Science (Honours)
Introduction
Bachelor in Data Science (Honours) is a Bachelor program taught at Raffles University, Malaysia. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.
The Bachelor in Data Science (Honours) at Raffles University is designed to cultivate data scientists with skills in advanced statistical analysis and its applications. Students study topics including neural networks and data mining, plus Stochastic Analysis, Bayesian Statistics, Experimental Design, Data Analytics, and Time Series Analysis and Forecasting.
The programme has a length of 3 Years and includes Project I and Project II, plus a Professional Attachment. Modules cover areas such as Information Technology Essentials, Principles of Computer Programming, Databases, System Analysis and Design, Computer Security, Data Processing and Visualisation, Natural Language Processing, and Parallel and Distributed Computing. An industry project and a project showcase are included.
Modules
- Information Technology Essentials
- Principles of Computer Programming
- Discrete Mathematics
- System Analysis and Design
- Critical Thinking– Computer Organisation and Architecture
- Databases
- Operating Systems
- Algorithms
- Web Programming– Computer Networks
- Mobile Applications Development
- Human Computer Interaction
- Neural Network Basics
Admission Requirements
The minimum requirements for admission in Bachelor in Data Science (Honours) at Raffles University for all applicants (Domestic or International) are:
- program specific academic requirment set by Raffles University.
- English Language OR any other language requirments as set by Raffles University as pre-requiste for admission in Bachelor in Data Science (Honours).
Note: Please check the university website in the link below.
Entry Requirements (Bachelor in Data Science (Honours)):
- STPM (Science Stream): Pass with grade C (CGPA 2.00) in Mathematics subject and ONE Science / ICT subject
- STPM (Arts Stream): Pass with grade C in any 2 subjects AND (a)
- A Level: Full Pass in 2 subjects AND (a)
- UEC: Grade B in 5 subjects including Mathematics and ONE Science / ICT subject
- STAM: Pass with minimum grade of Jayyid in any 2 subjects AND (a)
- Matriculation/ Foundation: min CGPA 2.0 AND (a)
- Diploma in Science and Technology: min. CGPA of 2.75. Candidate with CGPA 2.50 to 2.75 can be admitted subject to a thorough rigorous assessment AND (a)
- Diploma in Computing fields (MQF Level 4): Pass with minimum CGPA of 2.50. CGPA 2.00 to 2.50 can be admitted subject to a thorough rigorous assessment
- Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing fields: minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval
- Other relevant and equivalent qualifications recognised by the Malaysian Government.
(a) Additional Requirement: Credit in Additional Mathematics at the SPM level or its equivalent OR Credit in Mathematics and any one of the Science, Technology or Engineering subjects at SPM level or its equivalent. Candidates need to take and pass the reinforcement Mathematics equivalent to Additional Mathematics at the SPM level. The subject must be offered in first semester or before enrolment with unconditional offer. [Not Applicable to International Candidates]
NOTE: Students are required to pass the reinforcement Mathematics before being allowed to take related core courses. The candidate can sit for any subjects that did not indicate Mathematics as prerequisite. Reinforcement Mathematics can contribute to the over
Courses Units
Please check detail of study units at https://raffles-university.edu.my/programme/bachelor-in-data-science-honours/
More Information
- Computer Scientist
- Data Scientist
- Software Developer
- Software Engineer
- Systems Engineer
- Network Engineer
- Web Developer
- Computer Network Architect
- Technical Writers
- Data Science Expert
Scholarships
11 fully funded scholarships are listed for Malaysia. See Malaysia scholarships.