18 months
Duration
2970 USD/year
1874 USD/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The goal of this Data Science and Analytics programme from University Sains Malaysia is to produce workforce/human resource in the field of Big Data Analytics who are capable of making decisions based on the availability of comprehensive data.

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

Credits

44 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Required

Other requirements

General requirements

  • Bachelor's degree
CGPA of at least 2.75 / 4.00; orCGPA between 2.50 - 2.74 with the following additional conditions: or
  • 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
CGPA between 2.00 - 2.49 (Bachelor's Degree with Honours) with the following additional conditions: or
  • 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

Tuition Fee

To alway see correct tuition fees
  • International

    2970 USD/year
    Tuition Fee
    Based on the tuition of 4455 USD for the full programme during 18 months.
  • National

    1874 USD/year
    Tuition Fee
    Based on the tuition of 2812 USD for the full programme during 18 months.

Local Tuition Fee : 270.00 X  Units = 11,880.00 MYR

Living costs for George Town

1755 - 2203 MYR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science and Analytics
-
University Sains Malaysia

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