Bachelor of Technology (Honours) Data Science at INTI International University, Nilai

Description

In a world driven by data, this cutting-edge programme offers a unique opportunity to set you on a path to become a technologysavvy data scientist. Rooted in a robust set of objectives designed to mould you into a versatile and highly skilled professional, our approach encompasses various dimensions.; This includes a strong emphasis on Professional Knowledge, allowing you to delve deep into computer science principles, professional standards, and best practices – the very cornerstones of your expertise in data science. Furthermore, our curriculum places significant value on Communication and Leadership, the cultivation of Technical Excellence, the refinement of Digital Proficiency, and the nurturing of a culture of Innovation and Lifelong Learning, all of which lie at its core.

Intake Month(s)

January, May, September

Application Fee RM 600.00

Refundable Deposit RM 500.00

Tuition Fee RM 85,848.00

Internship Fee RM 1,000.00

Grand Total RM 87,948.00

Course Structure

Appreciation of Ethics and Civilisations
Philosophy and Current Issues
Integrity and Anti-Corruption
Community Service

Data Communications and Networking
Data Structures and Algorithms
Information Security and Ethics
Introduction to Database Systems
Mathematics for Computing
Object-Oriented Programming
Programming Techniques
Quantitative Methods
Systems Analysis and Design
Artificial Intelligence
Calculus and Linear Algebra
Data Mining and Predictive Analytics
Data Warehouse
Introduction to Data Analytics
IT Project Management
Machine Learning
Regression Analysis
Software Engineering
Time Series and Forecasting
User Experience (UX) Design
Web Programming
Final Year Project 1 and 2
Interships**

Choose one
(Bahasa Kebangsaan A*
Social Entrepreneurship
CSR Excellence: Building Responsible Enterprises)

Internet of Things (IOT) (Cloud Security
Embedded Systems
Internet of Things (IoT) Infrastructure
Introduction to Cloud Computing and Virtualisation
Introduction to Internet of Things (IoT))Big Data
Big Data Analytics (Business Intelligence
Knowledge Management
Natural Language Processing
Social
Web and Mobile Analytics)
Robotics (Embedded Systems
Internet of Things (IoT) Infrastructure
Introduction to Internet of Things (IoT)
Introduction to Robotic Programming
Robotics)
Fintech (Advanced Financial Decision Making
Blockchain Technology
Business Intelligence
Financial Management
FinTech)

Entry Requirement

Minimum pass STPM with minimum Grade C (GPA 2.00) in two (2) subjects and a credit in Additional Mathematics at SPM or its equivalent.

Minimum Grade D in two A-Level subjects with a credit in Additional Mathematics at SPM level or equivalent.

Minimum 5 credits (5Bs) in UEC including Additional Mathematics.

Successful completion of a relevant Foundation / Pre-U programme to include Mathematics with CGPA 2.50, or a credit in Mathematics at SPM / equivalent
A credit in English at SPM / equivalent.

Minimum CGPA 2.50 in Diploma (Computer Science, IT, Software Engineering, Information Systems, or related fields) with credit in Additional Mathematics at SPM/equivalent. CGPA 2.00–2.49 may be accepted subject to internal assessment.

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