3 years February , July and October
RM49,920 Malaysian student
RM58,560 International student 2025 fees per year
Industry placement
CAREER PATHS Your career options cover a range of areas and industries including :
• clinical trial management
• drug discovery and development
• analytical / biomedical chemistry
• clinical science and research management
• medical , healthcare and insurance industry
• project management and consultancy
• food product / process development
• regulatory affairs and quality assurance .
BACHELOR OF APPLIED DATA SCIENCE
KPT / JPT ( N / 0542 / 6 / 0002 ) 10 / 27 - MQA / PSA 15926
Data science is a highly in-demand field and skilled , qualified data scientists are sought after worldwide .
We live in a time where information and knowledge have never been more abundant . The decisions that shape our future will rely on graduates who can extract meaning from large volumes of data and transmit it to community and industry leaders .
This course develops your technical know-how to approach complex data challenges and provide solutions to a wide range of problems . It will give you the advanced knowledge and technical skills in data science to design , analyse , implement and apply methods to make a positive impact on our daily lives .
You ’ ll learn how to process large volumes of data and turn them into actionable insights across a very wide range of disciplines including biotechnology and pharmaceuticals , biomedical science , genetics and genomics , natural resources and energy .
What sets this course apart ?
The Applied studies in science component lets you explore interdisciplinary areas , completing the equivalence of a minor , and enrich your learning experiences .
Course structure
A . DATA CHALLENGES ( 36 CREDIT POINTS ) These studies will develop your analytical skills and ability to apply key information technology and mathematical concepts and methods . These skills will be elaborated through studio-based learning using authentic case studies sourced from industry partners , and with examples drawn from STEM areas , business , law , the humanities and social sciences . You ’ ll learn to integrate a range of skills including collaborative work practices , communication , leadership and entrepreneurship , which will prepare you for the professions of the future .
C . APPLIED STUDIES ( 24 CREDIT POINTS ) These studies will provide the foundation required to advance cross-disciplinary analytical thought . You ’ ll undertake a sequence of study in a chosen discipline , exploring new and diverse areas and developing core strengths in studies that relate to data applications . Data applications relating to these subjects can then be incorporated through the learning experiences across part A . Select a discipline below :
• Biological science and genetics
• Chemical Sciences
• Environmental science
• Biotechnology
• Food and nutrition
• Forensic genetics
• Health and human physiology .
D . ELECTIVE ( 12 CREDIT POINTS ) This will enable you to further develop your technical skills or extend your knowledge in your selected applied studies . Alternatively you can study eligible units from across the University .
Industry placement
In your third year , you ’ ll undertake ADS3001 Advanced data challenges , a project-based unit with heavy industry involvement to gain invaluable work experience . This will give you hands-on , real-world exposure to the workplace environment and will enable you to further develop graduate attributes and employability skills .
B . TECHNIQUES FOR DATA SCIENCE ( 72 CREDIT POINTS )
Through this theme you ’ ll gain the technical foundation that underpins this course , acquiring the knowledge and skills in mathematics and the capacity to tackle challenging problems in a variety of situations . Through core data science studies , you ’ ll attain the skills needed to effectively use , develop and manage complex data . These two areas are critical for tackling the diverse problems encountered in part A of the course .
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