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.

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

*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)

I. STUDENT FEE

Students are categorized based on nationality as Malaysian, ASEAN, and Non-ASEAN and are charged accordingly. Upon being accepted by the University, students shall make arrangements for their financial support and the payment of Student Fee throughout their study at the University. The Student Fee comprises of registration, tuition, accommodation and services. The Student Fee may be revised from time to time with prior notice being given to students. The Student Fee shall be paid within two (2) weeks after the commencement of each semester. Sponsored student must submit the Sponsorship Letter from the sponsor upon registration. The letter must clearly state the type of the fee covered under the sponsorship (such as registration, tuition, accommodation and services). Payment for campus accommodation may be arranged separately. UUM Student Fee is as listed below:

Fee UUM Sintok UUMKL & Other Centres
MALAYSIAN ASEAN NON-ASEAN MALAYSIAN NON-MALAYSIAN
Full-time (RM) Part-time (RM) Full-time (RM) Full-time (RM) Part-time (RM) Part-time (RM)
Non-recurring fee
Registration 550 550 750 750 550 750
Insurance 78 0 0 0 0 0
Medical Examination 0 0 200 200 0 200
Total 628 550 950 950 550 950
 
Recurring fee
Service 408 268 680 680 150 317
       
Tuition fee      
Coursework 150/credit hour 150/credit hour 300/credit hour 340/credit hour 300/credit hour 360/credit hour
Pre-requisite 150/credit hour 150/credit hour 200/credit hour 230/credit hour  0  0
Project paper
(less than 12 credit hours)
150/credit hour 150/credit hour 300/credit hour 340/credit hour 300/credit hour 360/credit hour

 

II. FEE FOR AUDIT COURSE
Audit course is RM250.00

 

III. REGISTRATION FEE

Registration fee includes charges for orientation, smart card, student's activities and management fees.

APPLICATION FOR SEPTEMBER 2019 INTAKE

APPLICATION DATES: 1 APRIL - 30 JUNE 2019