Tasheel

Bachelor of Computer Science (Honours) (Data Science)

Course Name:

Bachelor of Computer Science (Honours) (Data Science)

University Name:

Nilai University

Campus:

Nilai

Qualification:

Bachelor

Duration:

3 years

Intake:

January, June, September

IELTS:

5.0

Study Mode:

On-campus

Study Type:

Full time study

Program Mode:

Coursework

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Yearly Tuition Fees
Year Fee
1st Year MYR 20,000
2nd Year MYR 20,000
3rd Year MYR 20,000
Other Fees body { font-family: Poppins, sans-serif; margin: 0; padding: 0; background-color: #f5f5f5; } .table-container { width: 100%; background-color: #fff; border-radius: 8px; overflow: hidden; border: 1px solid #ddd; } .table-header { background-color: #16726F; color: white; padding: 12px; text-align: center; font-size: 18px; font-family: 'Lexend', sans-serif; } table { width: 100%; border-collapse: collapse; } th, td { padding: 12px; text-align: left; border-bottom: 1px solid #ddd; } th { background-color: #585858; color: #585858; } tr:hover { background-color: #f2f2f2; } td { color: #585858; } .table-row-first th { color: #585858; }
Other Fees
Description Fee
Application Fee MYR 700
Caution Fee (Refundable) MYR 1,500
International Student Admission Fee MYR 6,500
Registration Fee MYR 500
Resource Fee (Yearly) MYR 3,300
Visa and Insurance/td> MYR 2,900

Campus

Nilai

Qualification

Bachelor

Duration

3 years

Intake

January, June, September

IELTS

5.0

Study Mode

On-campus

Study Type

Full time study

Program Mode

Coursework

Are you interested to apply for

Nilai University?

Course Fee for International Students

Yearly Tuition Fees
Yearly Tuition Fees
Year Fee
1st Year MYR 20,000
2nd Year MYR 20,000
3rd Year MYR 20,000
Other Fees
Other Fees
Description Fee
Application Fee MYR 700
Caution Fee (Refundable) MYR 1,500
International Student Admission Fee MYR 6,500
Registration Fee MYR 500
Resource Fee (Yearly) MYR 3,300
Visa and Insurance/td> MYR 2,900
The Bachelor of Computer Science (Hons) with a specialization in Data Science at Nilai University offers a rigorous pedagogical framework designed to ground students in the mathematical foundations and computational methodologies of the data-driven era. The program facilitates a transition from general computing to specialized analytical proficiency by synthesizing scholarly inquiry with applied project-based learning, ensuring that candidates can navigate the complexities of modern information ecosystems. The curriculum is strategically structured to provide a comprehensive mastery of critical data-centric pillars: Statistical Analysis and Probabilistic Modeling: Cultivating the quantitative rigor required to derive valid inferences from structured and unstructured data. Machine Learning and Predictive Analytics: Developing the capacity to architect and deploy sophisticated algorithms that facilitate automated decision-making. Big Data Infrastructure and Management: Establishing a thorough understanding of distributed computing frameworks and the management of high-volume, high-velocity data architectures. Data Mining and Knowledge Discovery: Mastering the techniques required to identify patterns, anomalies, and correlations within vast “huge data” repositories. By integrating technical expertise with systematic problem-solving methodologies, the program equips candidates with the professional competencies required to excel in a data-centric global economy. Graduates emerge as versatile practitioners prepared for pivotal roles as Data Scientists, Business Intelligence Analysts, or Machine Learning Engineers, possessing the prerequisite academic rigor to pursue advanced postgraduate research in specialized domains such as Artificial Intelligence or Neural Networks.
Other Fees
Programme Structure
Category Modules Offered
Foundational & Core Programming
  • Understanding Computing
  • C Programming
  • Python Programming
  • Introduction to Object Oriented Programming
  • Object Oriented Software Development
  • Data Structure and Algorithms
Systems & Infrastructure
  • Computer Architecture and Organisation
  • Operating Systems Principles
  • Data Communication and Networking
  • Parallel and Distributed Computing
  • Platform Based Development
  • Information Assurance Security
Software Engineering & Design
  • Software Modelling and Analysis
  • Software Design and Architecture
  • Software Project Management
  • Database Systems
  • Web Development
  • Human Computer Interaction
Theoretical & Advanced Computing
  • Discrete Structures
  • Theory of Computation
  • Artificial Intelligence
  • Computer Graphics
Data Science Specialisation
  • Data Science
  • Statistical Methods for Data Science
  • Data Visualisation
  • Data Mining and Predictive Analytics
  • Big Data Analytics
  • Machine Learning
Capstone & Training
  • Final Year Project I & II
  • Internship (Industrial Training)
University Requirements (MPU)
  • Malay Language (For specific Malaysian students)
N/A
Based on MYR
Exchanged Amount is:
0