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Bachelor of Technology (Hons) Data Science
About
Bachelor of Technology (Hons) in Data Science emphasizes the technical foundations of data science and includes interactive components and internationalization elements, integrating modules on innovation in advanced technologies and techniques. It offers unique specializations focused on applying data science to emerging technologies, such as the Internet of Things (IoT), Robotics, Big Data, and FinTech.
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | January, June, August |
| Tuition (Local students) | RM 78,036 |
| Tuition (Foreign students) | RM 78,036 |
Subjects
-
Computer Science, IT
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | RM 78,036 | RM 78,036 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | RM 78,036 | RM 78,036 |
| Estimated cost per year | RM 26,012 | RM 26,012 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
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.
Admissions
Intakes
Entry Requirements
Entry Level and Requirements
- Foundation: A Pass in Matriculation or Foundation Studies with minimum CGPA 2.0 and credit in Additional Mathematics at SPM or its equivalent.
- STPM/A-Level:
- Pass STPM with minimum Grade C (GPA 2.00) in two (2) subjects and a credit in Additional Mathematics at SPM or its equivalent.
- Pass A-Levels Programme with minimum Grade D in two (2 ) subjects and a credit in Additional Mathematics at SPM or its equivalent.
- Diploma:
- A Diploma in Computer Science or Software Engineering or Information Technology or Information System or equivalent with minimum CGPA of 2.5 and a credit in Additional Mathematics at SPM level or its equivalent. Candidates with a CGPA below 2.5 but above 2.0 with a credit in Additional Mathematics at SPM level or equivalent may be admitted subject to a rigorous internal assessment
- Any other Diploma in Science and Technology with a minimum CGPA of 2.50 may be admitted subject to a rigorous internal assessment process and a credit in Additional Mathematics at SPM level or equivalent.
- STAM: Minimum of Grade Jayyid and a credit in following subjects at SPM level or its equivalent:
- Additional Mathematics or
- Mathematics and 1 of the Science, Technology or Engineering subject.
- UEC: Pass UEC with 5 subjects at grade B including Additional Mathematics.
Notes:
(a) Candidate without a credit in Additional Mathematics at SPM level or equivalent may be admitted if the Diploma programme contains subjects in mathematics that are equivalent to Additional Mathematics at SPM level.
(b) Candidate without a credit in Additional Mathematics at SPM level needs to pass the reinforcement Mathematics equivalent to Additional Mathematics at SPM level. This subject must be taken in the first semester before enrolment with an unconditional offer letter.
(c) Candidate with a credit in computing related subject at SPM or STPM level or equivalent may be given preferential consideration.
Curriculum
Common Core Modules
- Data Communications and Networking
- Data Structures and Algorithms
- Information Security and Ethics
- Introduction to Database Systems
- Mathematics for Computing
- Object-Oriented Programming
- Programming Techniques
- Quantitative Methods
- Systems Analysis and Design
Discipline Core Modules
- Artificial Intelligence
- Calculus and Linear Algebra
- Data Mining and Predictive Analytics
- Data Warehouse
- Introduction to Data Analytics
- IT Project Management
- Machine Learning
- Regression Analysis
- Software Engineering
- Time Series and Forecasting
- User Experience (UX) Design
- Web Programming
Specialisation Modules
1.Internet of Things (IOT)
- Cloud Security
- Embedded Systems
- Internet of Things (IoT) Infrastructure
- Introduction to Cloud Computing and Virtualisation
- Introduction to Internet of Things (IoT)
2. Big Data
- Big Data Analytics
- Business Intelligence
- Knowledge Management
- Natural Language Processing
- Social, Web and Mobile Analytics
3. Robotics
- Embedded Systems
- Internet of Things (IoT) Infrastructure
- Introduction to Internet of Things (IoT)
- Introduction to Robotic Programming
- Robotics
4. Fintech
- Advanced Financial Decision Making
- Blockchain Technology
- Business Intelligence
- Financial Management
- FinTech
MPU Subjects
1. Compulsory
- Appreciation of Ethics and Civilisations (Local students) / Communicating in Malay 2 (International students)
- Philosophy and Current Issues
- Integrity and Anti-Corruption
- Community Service
- Bahasa Kebangsaan A*
* For Malaysian students who do not have a credit in SPM BM.
2. Electives (choose one)
- Social Entrepreneurship
- CSR Excellence: Building Responsible Enterprises
Final Year Project
- Project I
- Project II