The Bachelor of Information Technology (Honours) (Data Analytics) places a strong emphasis on the growth of analytical abilities in the study of Information technology. The Programme provides core of Information Technology modules complemented with a selection from a wide range of courses that includes the latest advances in IT skills, concepts, and applications such as Parallel Programming, Information Systems Analysis and Design, Web and Network Analytics, Knowledge Management and Data Visualisation.
The program Bachelor of Information Technology (Honours) (Data Analytics) will produce professionals who can be able to:
- Produce knowledgeable and be technically competent in the field of information Technology in line with industry requirement locally and globally.
- Perform well as a team player, demonstrate good leadership qualities in an organization, and be effective in communication.
- Solve problems related to the field of IT creatively, innovatively, ethically, using numerical and technical skills, and through sustainable approach to solve Data Analytics related problems.
- Demonstrate entrepreneurship skills and recognize the need of lifelong learning, as well using a broad range of information, media, and technology applications for successful career advancement.
Bachelor of Information Technology (Honours) (Data Analytics) qualifies the students for employment in a variety of big data, statistical, and predictive reporting-related fields in the information technology sector such as:
- Big data system architect
- Business intelligence manager/specialist/architecture/consultant
- Chief data scientist
- Chief knowledge analyst
- Chief social media scientist
- Credit scorecard specialist
- Customer segmentation specialists
| Sl.No. | MQA Subject Code | Subject Name | Credits |
|---|---|---|---|
| 1 | BITDA 6013 | Principles of Programming | 3 |
| 2 | BITDA 6024 | Discrete Mathematics and Probability | 4 |
| 3 | BITDA 6033 | English | 3 |
| Elective (Choose any one module from the following): | |||
| 4 | MPU 3113 | Islamic Civilization and Asian Civilization | 3 |
| MPU 3163 | Malay Language Communication | ||
| 5 | BITDA 6043 | Computer Architecture and Organisation | 3 |
| Elective (Choose any one module from the following): | |||
| 6 | MPU 3123 | Ethnic Relations | 3 |
| MPU 3173 | Malaysian Studies | ||
| 7 | BITDA 6053 | Computer Networks | 3 |
| 8 | BITDA 6063 | Database Management Systems | 3 |
| 9 | BITDA 6073 | Applied Statistics | 3 |
| 10 | BITDA 6083 | Object Oriented Programming | 3 |
| 11 | MPU 3342 | Malaysian Government and Public Policy | 2 |
| 12 | BITDA 6094 | Data structure and Algorithms | 4 |
| 13 | BITDA 6104 | Information Systems Analysis and Design | 4 |
| 14 | BITDA 6114 | Information Systems Security | 4 |
| 15 | BITDA 6124 | Values & Ethics in profession | 3 |
| 16 | BITDA 6134 | Data Science Principles | 4 |
| 17 | BITDA 6144 | Python for Data Analytics | 4 |
| 18 | BITDA 6154 | Enterprise Architecture | 4 |
| 19 | BITDA 6164 | Human Computer Interaction | 4 |
| 20 | BITDA 6174 | Social Media Analytics | 4 |
| 21 | BITDA 6184 | Web Analytics and Intelligence | 4 |
| 22 | BITDA 6194 | Big Data Analytics | 4 |
| 23 | BITDA 6203 | Project Management | 3 |
| 24 | MPU 3232 | Leadership Skills and Human Relations | 2 |
| 25 | BITDA 6214 | Parallel Computing | 4 |
| 26 | BITDA 6224 | Text Analytics and Sentiment Analysis | 4 |
| 27 | BITDA 6233 | Organizational Behavior | 3 |
| 28 | BITDA 6244 | Business Intelligence Systems | 4 |
| 29 | BITDA 6254 | Optimization for data analytics | 4 |
| 30 | BITDA 6266 | Final year Project | 6 |
| 31 | BITDA 6276 | Industrial Training | 6 |
| 32 | BITDA 6284 | Predictive Analytics and Business Forecasting | 4 |
| 33 | BITDA 6294 | Data Visualization | 4 |
i. Passed Sijil Tinggi Persekolahan Malaysia (STPM) with a full pass in 2 subjects or equivalent with a minimum CGPA of 2.0 and pass the Sijil Pelajaran Malaysia (SPM) or equivalent with a credit in Mathematics; or
ii. Passed the Matriculation Programme or Foundation of PPT recognized by the Malaysian Government with a CGPA of 2.0 and credit in Mathematics at SPM level or equivalent; or
iii. A Diploma [Level 4, Malaysian Qualifications Framework (MQF)] in Computer Science or Software Engineering or Information Technology or Information Systems or equivalent with a minimum 2.50 and a credit in Mathematics at SPM level or its equivalent;
iv. Any other Diploma (Level 4, MQF) in Science and Technology or Business Studies with a minimum CGPA of 2.50 may be admitted, subject to a rigorous internal assessment process and a credit in Mathematics at SPM level or its equivalent;
v. Other equivalent qualifications recognized by the Malaysian Government.
Candidates with CGPA below 2.5 but above 2.0 with a credit in Mathematics at SPM level or its equivalent may be admitted, subject to a rigorous internal assessment process.
Candidate with a credit in Computing related subject at SPM or STPM level or its equivalent mat be given preferential consideration.
English Requirements :
International students must have proof of good proficiency in verbal and written English. For example, International English Language Testing System (IELTS) score of 5.0 or its equivalent. If a student does not meet this requirement, HEPs must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.