BSc (Hons) in Computer Science with a specialism in Data Analytics
Enquiry Was Successfully SentThank you for using Studymalaysia's Course Enquiry system. Your enquiry will be attended to shortly.
Please check your e-mail for a reply from us or the institution. Do quote the Ticket Number (e.g. #54820994) when corresponding with us. Thank you.
|Exam Body||APU Malaysia Degree|
|Course Duration||3 years|
|Part Time/Full Time||Full Time|
|Faculty||School of Computing & Technology|
|Conducted entirely in Malaysia||Yes|
|Level of Study||Bachelor's Degree Level|
|Field of Study||Computing & IT|
This programme is specifically designed to provide:
DEGREE LEVEL 1
The first year is packed with modules that provide the fundamental skills required by every IT professional. Systems analysis & design and introduction to programing in an appropriate language provide a foundation in the area of software development. A sound grasp of mathematical techniques and skills in algorithmic thinking are important pre-requisites for your second and third year studies in this area. Computer architecture, operating systems, networks, databases, data analytics, behavioural science and marketing analytics are the area of the platform or underlying analytics systems. Introduction to management introduces the third key area, understanding personal and organisational development, along with independent learning and teamworking skills.
DEGREE LEVEL 2
Computer Science involves designing and implementing software, devising new ways to use computers and developing effective ways to solve computing problems. It spans a wide range, from theoretical and algorithmic foundations to cutting edge developments in all areas of computing. Successful professionals with a degree in computer science are flexible in performing a range of computing tasks, and extend theories and practice in every area of computing. In your second year, the core modules take development skills to the next level and deepen your understanding of platform technology, while specialised modules allow you to go further into statistical modelling, data mining and predictive modelling.
Professional development, fostering creativity and innovation in individuals and teams, and independent learning are continuous themes in your studies at APU. This year ends with an internship that offers you an opportunity to move outside the classroom and show your professionalism in the workplace.
INTERNSHIP (16 weeks)
After the completion of Level 2 students will undertake a short Internship / Industrial Training. This will prepare them for a smooth transition from the classroom to the world of Computer Science.DEGREE LEVEL 2
In your third year you draw on your previous studies and industrial experience to refine your personal and professional development in the field of computer science, supported by specialised training in project management and new product development. Other core modules help you develop new skills in advanced programming techniques and algorithms, and evaluating applications at the frontiers of current technology. Specialised modules allow you to extend the capabilities you developed from previous studies of databases and analytics specifically in the area of database securities, text analytics, sentiment analysis, business intelligence, and optimisation concepts.
For your final year project, you investigate and develop a solution for a real world problem. This provides proof of your ability to combine technical knowledge, critical thinking, and analytical skills to achieve a goal, which is an important addition to your personal achievement portfolio.
|Intake Months||25 Feb 2020 / 28 Apr 2020 / 22 Sep 2020|
|Career Prospects||Software Tool Developer|
Chief Technology Officer (CTO)
Data Analytics Manager
Business Process Engineer
Machine Learning Scientist
Business Analyst Manager
Data Innovation Manager
Business Intelligence Developer
IT Risk Analyst
Advance Analytics Professional
Business Intelligence Analyst
Business Intelligence Solutions Architect
Data Visualization Developer
All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.