N/0613/6/0172
MQA/PA 18782
List of Programs in Faculty of Computing and Software Engineering
| Level of Study | Bachelor |
| Mode of Study | Full Time |
| Duration | 3.5 Years (Fulltime) |
| Graduating Credit | 120 |
| Course Location | i-CATS University College, Jalan Stampin Timur, 93350 Kuching, Sarawak |
| Intakes | March, and August |
The Bachelor of Technology in Data Science is a forward-looking program designed to equip students with advanced knowledge and practical skills in data analytics, machine learning, and intelligent systems. The program provides a comprehensive curriculum that integrates statistical analysis, programming, and computational methods to enable data-driven decision-making in real-world applications.
Beyond foundational concepts, the program emphasizes applied learning through industry-relevant projects, case studies, and hands-on experience with modern data science tools and technologies. Students are trained to transform raw data into meaningful insights, supporting innovation and strategic decision-making across various domains.
A key strength of this program lies in its focus on in-demand analytical skills, emerging technologies such as artificial intelligence and big data, and strong industry alignment. Graduates are prepared with a versatile and analytical mindset, enabling them to adapt to the rapidly evolving data-driven economy. This program fosters critical thinking, problem-solving, and innovation, preparing students for impactful careers in the field of data science and intelligent systems.
Completing the Bachelor of Technology in Data Science opens pathways to a wide range of career opportunities in industries that rely heavily on data-driven decision-making. Graduates are equipped with strong analytical, statistical, and machine learning skills that are highly valued across multiple sectors.
Data Scientist
Design and develop analytical models to extract insights from structured and unstructured data, supporting strategic decision-making and predictive analytics.
Data Analyst
Interpret and visualize data to identify trends, patterns, and actionable insights that support business operations and performance improvement.
Machine Learning Engineer
Develop and deploy machine learning models and algorithms that enable intelligent systems and automation across various applications.
Business Intelligence Analyst
Transform raw data into meaningful dashboards and reports to support organizational planning and business strategy.
Data Engineer
Design and manage data pipelines, databases, and large-scale data processing systems to ensure efficient data flow and accessibility.
| PEO 1 | Information Technology Graduate Technologists, who are able to provide computing solutions for non-routine problems based on appropriate knowledge and technical skills in Information Technology and Data Science, according to industry requirements. |
| PEO 2 | Information Technology Graduate Technologists having leadership skills and good interpersonal and communications skills to interact with stakeholders professionally and ethically. |
| PEO 3 | Information Technology Graduate Technologists, who engage on lifelong learning and have an entrepreneurial mindset for self and career development. |
PLO1 Knowledge | Analyse (C4) broadly defined concepts, procedures, processes, systems and methodologies related to Information Technology and Data Science. |
PLO2 Cognitive skills | Analyse(C4) broadly defined/complex problems using appropriate methodologies for Information Technology, Data Science and other discipline. |
PLO3 Practical skills | Construct (P4) solutions for broadly defined/complex problems related to Information Technology and Data Science using current tools and techniques. |
PLO4 Interpersonal skills | Demonstrate (A3) initiative for effective interaction with diverse teams or stakeholders in a multidisciplinary setting. |
PLO5 Communication skills | Demonstrate (A3) effective communication in oral and written language with diverse stakeholders in a multidisciplinary setting. |
PLO6 Digital skills | Demonstrate (A3) initiative in using digital skills for learning or problem solving in Information Technology and Data Science and other discipline. |
PLO7 Numeracy skills | Analyse (C4) broadly defined/complex problem related to Information Technology, Data Science and others using numeracy skills. |
PLO8 Leadership, autonomy, and responsibility | Demonstrate(A3) initiative and regularity in exhibiting leadership, accountability, autonomy and responsibility in broadly defined technology practices and multidisciplinary setting. |
PLO9 Personal skills | Demonstrate(A3) initiative, regularity and passion to self-learn in Information Technology and Data Science and other relevant areas. |
PLO10 Entrepreneurial skills | Demonstrate (A3) initiative to pursue entrepreneurial mindset in multidisciplinary fields. |
PLO11 Ethics and professionalism | Demonstrate(A3) professional and ethical practices all the time in all areas. |
