Bachelor of Information Technology (Honors)
(Data Analytics)

Home > Courses

Duration

3 years

Method

Online

Time

Full Time

Level

Degree

> Overview

The Bachelor of Information Technology (Honors) (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.

> Programme Aim

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 eldof 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 eld 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.

> Admission Requirements

  • A/L, FOUNDATION, NVQ 4

> Course Content

 
No Subject
01. Principles of Programming
02. Discreate Mathematics and Probability
03. English
04. Computer Architecture and Organization
05. Operating Systems
06. Database Management Systems
07. Computer Networks
08. Database Management Systems
09. Applied Statistics
10. Object Oriented Programming
11. Data Structure and Algorithms
12. Information Systems Analysis and Design
13. Information Systems Security
14 Values & Ethics in Profession
15. Data Science Principles
16. Python for Data Analytics
17 Enterprise Architecture
18. Human Computer Interaction
19. Social Media Analytics
20 Web Analytics and Intelligence
21 Big Data Analyrics
22. Project Management
23. Leadership Skills and Human Relations
24. Parallel Computing
25. Text Analytics and Sentiment Analysis
26. Organizational Behavior
27. Business Intelligence Systems
28. Optimization for Data Analytics
29. Final Year Project
30. Predictive Analytics and Business Forecasting
31. Data Visualization
v

> University

> How To Apply

Just click the “Apply Now” button, fill out the form, and submit it. For more detailed information, you can download our brochure by clicking the “Download Brochure” button below.

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