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CS779 - MASTER OF DATA SCIENCE

 

The Master of Data Science is a three-semester programme giving in-depth knowledge of data-driven science which is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. The programme aims to produce data professionals who are passionate about drawing meaningful insights from data using data science approach. The programme is designed to provide you good analytical and programming skills to use data science from data storage, data analytics to practical applications with the aim of improving business or organization performance.   

Further information, please contact:
Dr Shamimi A. Halim
Koordinator Program CS779
Tel: 03-55211202

Semester 1

  • Enterprise Data Analytics
  • Advanced Data Organization
  • Research Methodology
  • Statistical Computing

Semester 2

  • Statistical Data Mining
  • Advanced Data Science Technology
  • Seminar and Industry Engagement
  • Elective 1*

Semester 3

  • Data Science Project
  • Elective 2*
  • Elective 3*

*Students will be allocated to ONE of the four tracks and select elective courses from the given tracks.

 

Track 1: Computing

  • Optimization with Natured Inspired Computing
  • Data Visualization
  • Text Analytics

Track 2: Statistics

  • Time-series modelling and Forecasting
  • Applied Statistical Modelling
  • Applied Multivariate Analysis

Track 3: Business

  • Customer Analytics
  • People Analytics
  • Operations Analytics

Track 4: Geo-Spatial

  • Advanced GIS,
  • Geo-spatial Analysis and Modelling,
  • Geo-visualization

Mode of Study

Coursework

Duration of Study

Full Time  : 3-4 semesters

Part Time : 4-8 semesters

This program is offered at UiTM Shah Alam.

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Contact Us

Fakulti Sains Komputer dan Matematik
Faculty of Computer and Mathematical Sciences
Bangunan Al-Khawarizmi
Universiti Teknologi MARA
40450 Shah Alam,
Selangor Darul Ehsan Malaysia.


Email: fskmnews@uitm.edu.my

Tel: +603-5543 5329