Data Science & Business Analytics
3 (1)
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Duration: 1 Years
$6,950
There is tuition fee in details on the page.
What will you learn?
This programme is designed to provide students with knowledge and applied skills in data science, big data analytics and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques, and to enhance data science knowledge and critical interpretation skills. Students will understand the impact of data science upon modern processes and businesses, be able to identify, and implement specific tools, practices, features and techniques to enhance the analysis of data.
Eligibility
Admission Requirements
Bachelor’s degree with minimum CGPA of 2.75 or equivalent as acceptable by the Senate.
Bachelor’s degree with CGPA 2.50 but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio).
Bachelor’s degree with CGPA below 2.50 or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field.
* For applicants who do not have a Computing - related degree, pre-requisite modules must be taken to prepare for the masters degree.
* Fundamental skills in programming, database, mathematics and statistics would be an added advantage.English:
Minimum TOEFL Score: 550 or above (Paper based)
Minimum IELTS Score: 6.0 (Academic)
Any other Certification or evidence of English proficiency that APU accepts as an equivalent to TOEFL and IELTS.
Alternatively,
In case of disqualification from the above, student needs to take the APU English Placement Test, and depending on the result of the test, he/she may require to attend the APU Intensive English Programme (IEP) prior to beginning of the Foundation or Diploma programme.
Core areas of emphasis
Career prospects
The Benefits of This Programme On successful completion of this programme, you will be able to : In addition to the degree award, a Joint Professional Certification will be offered by SAS Institute, USA. 30% of the curriculum will allow for mini industrial projects assessed as in-course work allowing for practical skills development in Data Analytics. The curriculum covers a wide range of subject matter from Analytical Technologies, Exposure to tools such as R & SAS Modelers, Data Visualization, Customer/User Behavioural Studies, Forecasting Methods and to Presenting the Business Intelligence reports. External Programme Annual Reviews by experts from University of South Australia (UniSA). Programme Support by an Industry Advisory Panel involving data analytical experts from Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft and Xtrategize. Research opportunities via APU’s Centre of Analytics – APCA.
Tuition Fees
| Totally (USD) | Yearly (USD) |
|---|---|
| $ 6950 | $ 6950 |
Course Details:
Duration: 1 Year Intakes: April, August, November
Scholarships for Post-graduate studies:
Countries Applicable
Qualifications
Minimum Score in 2018/2019 Final Results
Entry to:
APU Scholarships on 2019 Fees
All Countries
A-Levels
AAA
Degree Only
30%
A-Levels
AAB
Degree Only
20%
A-Levels
ABB/AAC
Degree Only
10%
All Countries
O-Levels/IGCSE
9 A's
Foundation Only
30%
O-Levels/IGCSE
8 A's
Foundation Only
20%
O-Levels/IGCSE
6-7 A's
Foundation Only
10%
All Countries
International Baccalaureate
37 Points
Degree Only
30%
International Baccalaureate
31 - 36 Points
Degree Only
20%
International Baccalaureate
26 - 30 Points
Degree Only
10%
Campus (Main Campus)
Technology Park Malaysia, Bukit Jalil, Kuala Lumpur 57000, Malaysia