MASTER OF SCIENCE (DATA SCIENCE AND ANALYTICS)

MQA/SWA16438

Introduction

Data science is a multidisciplinary field of study that involves scientific methods, processes and systems in extracting both explicit and implicit information from a variety of data structures. It combines the knowledge of mathematics and statistics,  programming and data analytics. This master programme offers a variety of courses with emphasis on data analytics. Students are free to choose from three different learning modules: Data Computing, Data Analytic, and Finance & Business Analytic to match their interests and career paths. The aim of the programme is to produce knowledgeable, ethical and competitive graduates who can contribute to the nations.

Module Option Semester Code & Name Course
Data Computing Module (45 Credits) Semester 1 STQD 6014 Data Science
STQD 6214 Mathematical Statistics with Computing
STQD 6414 Data Mining
Semester 2 STQD 6024 Machine Learning
STQP 6014 Research Methodology and Industrial Seminar
Semester 3 STQD 6889 Capstone Project
Elective ( Choose 4) STQD 6124 Data Visualization and Communication
STQD 6324 Data Management
STQD 6114 Unstructured Data Analytics
STQS 6444 Time Series Modelling and Forecasting
STQM 6154 Network Science
STQD 6334 Multicriteria Decision Making
STQD 6524 Statistical Methods for Computational Biology
Data Analytic Module ( 45 Credits) Semester 1 STQD 6014 Data Science
STQD 6214 Mathematical Statistics with Computing
STQD 6414 Data Mining
Semester 2 STQD 6024 Machine Learning
STQP 6014 Research Methodology and Industrial Seminar
Semester 3 STQD 6889 Capstone Project
Elective ( Choose 4) STQD 6124 Data Visualization and Communication
STQS 6284 Multivariate Analysis
STQD 6114 Unstructured Data Analytics
STQD 6134 Business Analytics
STQS 6444 Time Series Modelling and Forecasting
STQS 6234 Bayesian Inference
STQM 6154 Network Science
STQD 6334 Multicriteria Decision Making
STQD 6524 Statistical Methods for Computational Biology
Finance and Business Analytics Module ( 45 Credits) Semester 1 STQD 6014 Data Science
STQD 6214 Mathematical Statistics with Computing
STQD 6414 Data Mining
Semester 2 STQD 6024 Machine Learning
STQP 6014 Research Methodology and Industrial Seminar
Semester 3 STQD 6889 Capstone Project
Elective ( Choose 4) STQD 6124 Data Visualization and Communication
STQD 6134 Business Analytics
TQD 6114 Unstructured Data Analytics
STQS 6444 Time Series Modelling and Forecasting
STQD 6334 Multicriteria Decision Making
STQA 6014 Investment Analysis and Portfolio Management
STQA 6034 Issues in Risk Management and Insurance
    • Bachelor’s Degree in a relevant field with a minimum CGPA of 2.50 or equivalent, from any institution of higher learning  recognized by the UKM Senate; or
    • Bachelor’s Degree in a relevant field with a minimum CGPA of 2.00 – 2.49 or equivalent, with a minimum of 5 years working experience or research project in a relevant field. Proof of the working experience of a foreign candidate should be acknowledged by the embassy of the respective country; or
    • Fulfil Accreditation of Prior Experiential Learning (APEL A) for local candidates only:
        • should be more than 30 years of age in the year of application; and
        • possess at least STPM or diploma in a relevant field or other equivalent qualification recognized by the Government of Malaysia and approved by the UKM Senate; and
        • possess a certificate of MQA APEL with MQF Level 7
    • An international student shall obtain minimum results of TOEFL iBT score 46 / IELTS band 5.5 / PTE score 51 / CEFR band B2 / MUET band 4 (An international student who comes from a country where English is the official language, or who has obtained academic qualifications from any institution of higher learning that uses English as the medium of instruction may be exempted from the requirement for TOEFL / IELTS / MUET); and
    • Fulfill other requirements prescribed by the UKM Senate from time to time.

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