Bachelor of Information Technology (Honours)
(Data Analytics)
Bachelor of Information Technology (Honours) (Data Analytics) is intended to train students from a variety of academic fields who wish to learn how to use data analytics techniques in relation to their area of interest. It is designed to equip them with the skills necessary to use computational thinking and data science techniques to address real-world business issues.
- Duration: 3 Years
- Intakes: March, July, November
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
- Principles of Programming
- Discrete Mathematics and Probability
- English
- Computer Architecture and Organisation
- Computer Networks
- Database Management Systems
- Applied Statistics
- Object Oriented Programming
- Data structure and Algorithms
- Information Systems Analysis and Design
- Information Systems Security
- Values & Ethics in profession
- Data Science Principles
- Python for Data Analytics
- Enterprise Architecture
- Human Computer Interaction
- Social Media Analytics
- Web Analytics and Intelligence
- Big Data Analytics
- Project Management
- Parallel Computing
- Text Analytics and Sentiment Analysis
- Organizational Behavior
- Business Intelligence Systems
- Optimization for data analytics
- Final year Project
- Industrial Training
- Predictive Analytics and Business Forecasting
- Data Visualization
I. Higher Studies with a full pass in 2 subjects or equivalent with a minimum CGPA of 2.0 and pass higher studies or equivalent with a credit in Mathematics; or
II. Passed the Matriculation Programme or Foundation of PPT recognized by the Government with a CGPA of 2.0 and credit in Mathematics at SPM level or equivalent; or
III.A Diploma [Level 4] 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) 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 Government.
VI. Candidates with CGPA below 2.5 but above 2.0 with a credit in Mathematics at certificate level or its equivalent may be admitted, subject to a rigorous internal assessment process.