Bachelor in Data Science (Honours) (RDS)

Bachelor in Data Science (Honours)

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Programme Overview

This programme is designed to train students in both computer science and data science, which prepares them well for data professionals or data scientist career pathway. Graduates of this programme are highly demanded in the increasingly data-driven world where their main role is to make sense of big data to improve business processes, optimise resources, increase profits, increase customer satisfaction, personalised experience, automation, and so on.

Artificial Intelligence, Machine Learning, Data Science, Data Visualisation, Data Engineering, Data Warehouse Technology and Statistics for Data Science are some of the specialisation courses covered in this programme in addition to the core computing courses such as Programming, Database Management and Computer Networks.

Students will have an opportunity to work with the industry through their 6 months industrial training and carry out real-life projects on data science and computer science. All such training will add value to their qualification and increase their employment opportunities. Upon completion of this program, the students will also obtain SAS Joint Certificate specialised in Data Science and Machine Learning.

Campuses:

KL - Kuala Lumpur Main Campus
KL (R/0613/6/0021)(02/29)(MQA/FA10784)
PG - Penang Branch Campus
PG (R/0613/6/0067)(06/29)(MQA/FA10813)

Intake:

Year 1 Intake:

February (KL); June (KL, PG); November (KL)

Year 2 Intake:

June (KL, PG)

Duration:

3 years

Minimum Entry Requirements

Programme Outline

Problem Solving and Programming
Database Management
Introduction to Computer Security
Probability and Statistics
System Analysis and Design
Discrete Mathematics
Fundamentals of Computer Networks
Computer Organisation and Architecture
Object-Oriented Programming
Operating Systems
Statistics for Data Science
Software Engineering
Data Science
Data Visualisation
Data Engineering
Machine Learning
Data Structures and Algorithms
Artificial Intelligence
Project I
Project II
Data Warehouse Technology
Industrial Training (24 weeks)

Elective 1 (Choose 1):

Algebra and Calculus
Advanced Discrete Mathematics

Elective 2 (Choose 1):

Natural Language Processing
Web-Based Integrated Systems

Elective 3 (Choose 1):

Internet of Things
Graphics Programming

Elective 4 (Choose 1):

- - Image Processing
  - Blockchain Application Development

Elective 5 (Choose 1):

Advanced Database Management
Mobile Application Development

Elective 6 (Choose 1):

Cloud Computing
Distributed Systems and Parallel Computing

Free Electives (Choose 1):

Japanese Language I
French Language I
Korean Language I

Language, Mata Pelajaran Pengajian Umum (MPU) and Co-curricular Courses:

English for Tertiary Studies, Falsafah dan Isu Semasa, Academic English, Penghayatan Etika dan Peradaban, English for Career Preparation, Entrepreneurship/ Bahasa Kebangsaan A, Integrity and Anti Corruption, Co-curricular

Career Prospects