Bachelor Degree
Free consultation for this program
We are ready to help you with your difficulties and processing.
Duration
3 years
Study Format
On Campus
No. of Student Mentors
65
Total Tuition Fees
78,036 RM (Approx)
Free consultation for this program
We are ready to help you with your difficulties and processing.
Duration
3 years
Study Format
On Campus
No. of Student Mentors
65
Total Tuition Fees
78,036 RM (Approx)
Program
Key information
University
Program structure
Tuition fees
Admissions
Possible Career Pathway
Student's testimonials
F&Qs
In a world driven by data, this cutting-edge programme offers a unique opportunity to set you on a path to become a technology- savvy 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.
Highlights
• Incorporates substantial interactive components and internationalisation elements
• Modules related to innovation in advanced technology and innovative techniques are integrated into the programme
• Unique specialisations focus on the application of data science to emerging technologies:
- Internet of Things (IoT)
- Robotics - Big Data - FinTech
Degree
Bachelor
Language
English
Location
Malaysia
Intake Start Date
Jul 2025
Study Format
On Campus
Duration
3 years
Program Highlight
Standard Program
Total Semester
9
Total Tuition Fees
78,036 RM (Approx) / in total
Application deadline
Oct 2025
Asia Ranking 2025
EduRank Ranking 1488
Programs
140
Students
80,000
Why INTI?
The Way We Teach
Our innovative and collaborative approach through a holistic teaching and learning management system and strong collaboration with global industry leaders prepare you for the real world. Using the Canvas Learning System students can experience the following benefits:
Transparent, real-time collaborative platformto ensure every student contributes to team success.
Equipping students with 21st century skill sets such as critical thinking, creativity, collaboration and communication.
International Partnerships
Take your learning experience to a whole new level by studying with the INTI Edge. Our collaboration with highly acclaimed universities around the world enables your to gain an added edge of qualification while expanding your global perspectives.
Going beyond paper qualification, our internationally recognised education will enrich you with the right skills and attributes to excel at whatever you do and wherever you go.
At INTI, we have taken the lead to champion a whole new learning experience with an International, Innovative and Individualised kind of education.
Individual Development
Studying at INTI gives you an opportunity to develop and enhance your academic and personal development.
Every year more and more graduates join the workforce. Among a sea of graduates, there’s only one decisive way to stand out from the crowd and to get the job that you want – to demonstrate outstanding 21st century skills and gain work experience even before you graduate.
From our hands-on learning experience to our partnerships with industry leaders like LinkedIn, Google My Business, Microsoft and IBM our programmes truly enhance your employability.
Our Belief
Education must change to meet the needs of tomorrow’s world.
Our Vision
Be the champion of change, reinventing education for the dynamic leaders of the future.
Our Mission
We will provide the most international, innovative and individualised education.
Our core values
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Common Core Modules
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
Discipline Core Modules
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
Specialisation Modules
1.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)
2.Big Data
Big Data Analytics
Business Intelligence
Knowledge Management
Natural Language Processing
Social, Web and Mobile Analytics
3. Robotics
Embedded Systems
Internet of Things (IoT) Infrastructure
Introduction to Internet of Things (IoT)
Introduction to Robotic Programming
Robotics
4. Fintech
Advanced Financial Decision Making
Blockchain Technology
Business Intelligence
Financial Management
FinTech
MPU Subjects
1. Compulsory
Appreciation of Ethics and Civilisations (Local students) / Communicating in Malay 2 (International students)
Philosophy and Current Issues
Integrity and Anti-Corruption
Community Service
Bahasa Kebangsaan A*
2. Electives (choose one)
Social Entrepreneurship
CSR Excellence: Building Responsible Enterprises
Final Year Project
Project I
Project II
Internship
Tuition fees
78,036 RM (Approx) / in total
Application fees
3,120 RM
Application fee cannot be refunded.
Get a Free Consultation!
Not sure where to start with your application?
Our student ambassadors can walk you through the admission process, step by step.
Basic Education High School (10 years of schooling)
Original Passport with validity of at least 12 months
Original High school certificates and transcripts
One of the following examinations or their equivalents:
Foundation A Pass in Matriculation or Foundation Studies with minimum CGPA 2.0 and credit in Additional Mathematics at SPM or its equivalent.
STPM/A-Level (a) Pass STPM with minimum Grade C (GPA 2.00) in two (2) subjects and a credit in Additional Mathematics at SPM or its equivalent.
(b) Pass A-Levels Programme with minimum Grade D in two (2 ) subjects and a credit in Additional Mathematics at SPM or its equivalent.
Diploma (a) A Diploma in Computer Science or Software Engineering or Information Technology or Information System or equivalent with minimum CGPA of 2.5 and a credit in Additional Mathematics at SPM level or its equivalent. Candidates with a CGPA below 2.5 but above 2.0 with a credit in Additional Mathematics at SPM level or equivalent may be admitted subject to a rigorous internal assessment.
(b) Any other Diploma in Science and Technology with a minimum CGPA of 2.50 may be admitted subject to a rigorous internal assessment process and a credit in Additional Mathematics at SPM level or equivalent.
STAM Minimum of Grade Jayyid and a credit in following subjects at SPM level or its equivalent:
(a) Additional Mathematics or
(b) Mathematics and 1 of the Science, Technology or Engineering subject.
UEC Pass UEC with 5 subjects at grade B including Additional Mathematics.
Others Please refer to INTI International University.
Note :
(a) Candidate without a credit in Additional Mathematics at SPM level or equivalent may be admitted if the Diploma programme contains subjects in mathematics that are equivalent to Additional Mathematics at SPM level.
(b) Candidate without a credit in Additional Mathematics at SPM level needs to pass the reinforcement Mathematics equivalent to Additional Mathematics at SPM level. This subject must be taken in the first semester before enrolment with an unconditional offer letter.
(c) Candidate with a credit in computing related subject at SPM or STPM level or equivalent may be given preferential consideration.
Data Analyst, Data Engineer, Database Administrator, Machine Learning Engineer, Data Scientist, Data Architect, Statistician, Business Analyst, Data and Analytics Manager.
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