MASTER OF SCIENCE IN DATA ANALYSIS (COURSEWORK)

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JANUARY, MAY & SEPTEMBER

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The programme aims to produce graduates who master data analytical skills and are able to create knowledge from data, and solve real life problems in multidisciplinary fields.

This unique programme implements a holistic approach in data analysis by including both quantitative and qualitative aspects, plus variety of methods through hands-on approach.

This programme will produce data analyst who is capable of analysing a diversity of data that is very much needed in the industries specifically in research and development (R&D). Quality research findings triggered the innovation and this is important to become a developed nation by 2020.

  • To produce graduates capable of analysing quantitative data (numerical)and qualitative (text, narrative & visual)

  • To infuse graduates with the knowledge, skills and creativity in data analysis and solving problems

  • To develop graduates to be competent in conducting research

  • To enhance the graduates’ ability to effectively express ideas verbally and in written form.

MASTER OF SCIENCE IN DATA ANALYSIS (COURSEWORK)

  • A Bachelor’s degree with honours from Universiti Utara Malaysia or any other institutions of higher learning recognized by the University Senate with a CGPA of at least 2.50; OR

  • A Bachelor’s degree from Universiti Utara Malaysia or any other institutions of higher learning recognized by the University Senate with a CGPA of 2.00 to 2.49 and with at least three (3) years relevant work experience, subject to an interview by the Postgraduate Comittee; OR

  • Candidates without a qualification in the related fields or working experience in the relevant fields must undergo appropriate prerequisite courses determined by the programme and meet the minimum CGPA based on (a) to (b) OR

  • a diploma from any institutions or higher learning recognised by the University Senate with at least ten (10) years of work relevant experience, 35 years or older and passed APEL assessment (level 7); OR

  • Any other equivalent qualifications recognized by the University Senate; AND

  • Fulfil the English Language requirement as set by the University Senate.

Click here for English Language Requirements.

This programme is offered by coursework. Students are required to complete at least 41 credit hours, which comprises the following:

Core Courses (29 credit hours)

  • Risk Analysis
  • Exploratory Data Analysis
  • Inferential Techniques
  • Qualitative Data Analysis
  • Psychometrics
  • Applied Multivariate Data Analysis
  • Forecasting Techniques
  • Operational Research
  • Research Methods

Elective Courses (6 credit hours)

  • Structural Equation Modelling
  • Body Language Analysis
  • Rasch Analysis
  • Quality Management and Improvement
  • Applied Survival Analysis
  • Topics in Mathematical Modelling
  • Simulation for Decision Making
  • Business Programming using Visual Tools
  • Heuristics Techniques for Combinatorial Optimization Problems

Project Paper (6 credit hours)

Graduates from the programme will also receive a Joint Certificate in Data Mining from  sas main logo tag right

*Three semester per academic session

 

   Minimum  Maximum
 Full Time  3 semester (1 year) 9 semester (3 years) 
 Part Time  6 semester (2 years) 15 semester (5 years)

*Please refer HEA UUM