Overview
Therefore, the objective of this Data Science and Analytics programme from University Sains Malaysia is to produce graduates who:
- have a deep understanding of the core concepts, practices and tools in the domain of Data Science and Analytics.
- have the knowledge and skills in collecting and consolidating data, data modelling and advanced analysis of data which can be applied in jobs across various sectors, especially the service, business, marketing, manufacturing and healthcare sectors.
- can act as high-power data (open source or industry standards) users in a variety of industries as well as have social, ethical and effective communication skills, and good leadership attributes.
- are innovative in the application and use of big data analytic tools in various fields or as researchers who are capable of making decisions based on the availability of comprehensive data as well as able to realise lifelong learning and pursue studies at a higher level in cross-disciplinary research involving ICT.
Programme Structure
Credit requirements: 44 units
At the end of this course, the students will be able to:
- Perform work collaboratively in a multi-ethnic environment with superior, colleagues, staff and supervisors.
- Analyse the needs and/or problems related to data analytics in the workplace.
- Identify suitable quantitative and analytical tools (including software, technology and technical know-how) to propose usable solution to complex, ambiguous, unstructured problem in real world setting.
- Practice effective communication in writing and orally the progress and achievement of the practicum.
- Display leadership behaviours such as initiative, focussed, and high-performance standards.
Programme Structure
Courses include:
- Principles and Practices of Data Science and Analytics
- Big Data Storage and Management
- Machine Learning
- Enabling Technologies and Infrastructures for Data Science
- Data Visualisation and Visual Analytics
- Research, Consultancy and Professional Skills
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Delivered
Campus Location
- George Town, Malaysia
Disciplines
Data Science & Big Data View 21 other Masters in Data Science & Big Data in MalaysiaWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
- Bachelor's degree
- Research experience for at least one year; or
- Work experience in related field for at least one year; or
- At least one (1) academic publication in the relevant field; or
- Grade B for major / elective courses; or
- Grade B+ for final year project
- Research experience for at least five (5) years; or
- Work experience in related field for at least five (5) years; AND
- At least one (1) academic publication in the relevant field; or
- Grade B for major / elective courses; or
- Grade B+ for final year project
Student Insurance via Studyportals Partner
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University Sains Malaysia and/or in Malaysia, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents2970 USD / year≈ 2970 USD / year -
Domestic Applies to you
Applies to youCitizens or residents1680 USD / year≈ 1680 USD / year
Additional Details
Local Tuition Fee : 270.00 X Units = 11,880.00 MYR
Living costs
George Town
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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