Advanced Diploma In Digital Transformation (BAC College)

• A BAC Diploma in Digital Transformation (via e-learning/face-to-face/blended learning)in all subjects; or
• A pass in a Diploma level qualification from a local polytechnic, local Private Education Institution, Foreign University or Polytechnic

Language Proficiency

• A pass in the BAC English Placement Test; or
• A minimum score of IELTS 6.0/ TOEFL 550/ PTE Academic 50.

Information not available

Human Computer Interaction

• This module will familiarise you with human computer interaction theories and design processes, with an emphasis will be on applied user experience (UX) design. The module will present an iterative evaluation -centred UX life cycles. It will also introduce you a broader notion of user experience, including usability, usefulness, and emotional impact.

Integrative Programming

• Through this module, you will will gain a fundamental understanding of programming in Python by creating a variety of scripts and applications for the Web and for systems development. Python is a versatile programming language, suitable for projects ranging from small scripts to large systems.

Cloud Computing & Virtualization

• Covering cloud computing and all related areas, this module will help you learn about the various service delivery models of cloud computing architecture, and how clouds can be deployed as public, private, hybrid, and community clouds, followed by a much deeper review of the security and privacy issues related to cloud computing environments.

Business Intelligence

• The module aims at examining Business Intelligence (BI) as a broad category of applications and technologies for gathering, storing, and analysing, sharing and providing access to data to help enterprise users make better managerial decisions. You will learn the principles and best practices for how to use data in order to support fact-based decision making.

Object-Oriented Analysis & Design

• This module starts with exposing students to software requirement elicitation process and various tools and techniques used in the analysis and design of software systems. Students will apply modelling tools, and techniques learned within a recognised software development methodology and a case study context.

Big Data Technologies

• This module introduces students to an introduction to big data technologies, starting with MapReduce, as a computational model and an execution framework. Students will work with understand the use of big data tools like Pig, HIVE, Hbase and Spark to realize how the different tools in Hadoop stack fits the overall picture big data analytics.

Data Structure & Algorithms

• The purpose of this module is for the students to learn the basics of algorithms i.e. understanding, analysing and writing algorithms. Students will also understand and analyse data structures to apply algorithms on the data structures for performing various operations.