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.

  • 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 2.75; 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 not less than 2.75 and work experience in related field; OR

  • A Bachelor’s degree with honours in Pure Sciences or Science or Technology or any other professional fields 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 with honours in Pure Sciences or Science or Technology or any other professional fields from Universiti Utara Malaysia or any other institutions of higher learning recognized by the University Senate with a CGPA of less than 2.50 and work experience in related field; OR

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

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

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

*Two semester per academic session

 

   Minimum  Maximum
 Full Time  3 semester (1.5 years) 6 semester (3 years) 
 Part Time  5 semester (2.5 years) 10 semester (5 years)

*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)

APPLICATION FOR SEPTEMBER 2018 INTAKE

Closing Date for LOCAL Applicants
Closing Date for INTERNATIONAL Applicants