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UUM Kuala Lumpur - Official

Universiti Utara Malaysia Kuala Lumpur, 41-3 Jalan Raja Muda Abd Aziz,50300 Kuala Lumpur.

FEES*

MScMASTER OF SCIENCE

(DATA ANALYSIS)

CONTACT US

UUMUniversiti Utara Malaysia

Kuala LumpurThe Eminent Management University

MODE PART TIME LOCAL FULL TIME LOCAL INTERNATIONAL

SERVICE FEE

RM150 x 7 sem= RM1050

RM150 x 4 sem= RM600

RM317 X 4 sem= RM1268

TUTION FEE RM250 x 35 credit hr= RM8,750

RM250 x 35 credit hr= RM8,750

RM450 X 35 credit hr= RM15,750

RESEARCH / PROJECT PAPER

RM 250 x 6 credit hr= RM1,500

RM 250 x 6 credit hr= RM1,500

RM 450 x 6 credit hr= RM2,700

INSURANCE NIL RM78 NIL

TOTAL RM11,300 RM10,928 RM19,718* These are estimated minimum fees at time of printing

NON-RECURRING FEE APPLICATION FEE = MYR100.00 (for local applicant)= MYR125.00 @ USD35.00* (for applicant from ASEAN Country) = MYR175.00 @ USD50.00* (for applicant from Non ASEAN Country)

REGISTRATION FEE = Malaysian RM550 / International RM750

INTERNATIONAL STUDENT MANAGEMENT FEE = (international student only) RM2000

Admission to Master of Science Data Analysis can be granted based on the criteria specified below:

i. A bachelor’s degree with honours from recognised universities with CGPA of at least 2.75; or A bachelor’s degree with a CGPA 2.50 and have at least five (5) years work experience; ii. Any English qualification recognised by the UUM Senate Or Fulfil the English language requirement set by the UUM Senate.

WHY MASTER OF SCIENCE(DATA ANALYSIS)

WHY UUMKL

ADMISSION REQUIREMENT

1. Academic qualification that enhances your professional growth2. Strategically located in the centre of Kuala Lumpur3. Trimester academic system4. Weekend classes only5. Experienced academic staff

PROGRAMME STRUCTURE

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

COURSEWORK

The Master of Science (Data Analysis) programme is offered by coursework. Students are required to complete at least 41 credit hours, which comprises the following:

CORE COURSES (29 CREDIT HOURS)SQQM5013 Risk AnalysisSQQP6014 Operational ResearchSQQS5013 Exploratory Data AnalysisSQQS5023 Inferential TechniquesSQQS5034 Qualitative Data AnalysisSQQS5043 PsychometricsSQQS5053 Applied Multivariate Data AnalysisSQQS5063 Forecasting TechniquesSQQS6013 Research Methods

ELECTIVE COURSES (6 CREDIT HOURS)Students are required to choose any two (2) courses from the courses listed below:SQIT5013 Business Programming Using Visual ToolsSQQM5023 Topics in Mathematical ModellingSQQP5043 Simulation for Decision MakingSQQP6023 Heuristic Techniques for Combinatorial Optimization ProblemsSQQS5073 Structural Equation ModellingSQQS5083 Body Language AnalysisSQQS5093 Rasch AnalysisSQQS5103 Quality Management and ImprovementSQQS5113 Applied Survival Analysis

PROJECT PAPER (6 CREDIT HOURS)SQSZ6996 Project Paper

Graduates from the programme will also receive a Joint Certificate in Data Mining from