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Master of Science (Business Intelligence and Analytics)

Overview

The goal of this program is to produce ICT professionals who have advanced knowledge and skills in the field of Business Intelligence, data science, and analytics. They will not only gain knowledge and skills in manipulating and analyzing data (especially Big Data), but they will also be equipped with knowledge and skills as analysts in Business Intelligence, which seeks to design and implement an analytical transformation into a leading organization in accordance with the current needs of the country.

This program is offered through the mode of Open Distance Learning, where the teaching and learning is conducted 100% online. Students shall complete the program in a minimum of 4 semesters and a maximum of 8 semesters. Several subjects being delivered and assessed are implemented in each semester. Assessment is based on presentation, case study, test, and project conducted throughout the semester.

Programme Educational Objectives

• Practice in-depth and specialist knowledge of Business Intelligence and Analytics to effectively support organizational decision-making.
• Demonstrate business acumen and higher-order thinking skills necessary to solve complex organizational information and decision problems through research, innovation, and creativity, which drive them to sustain intellectual curiosity and know-how, and be lifelong learners.
• Show adaptability in different roles, responsibilities, surroundings, and communities, enabling them to contribute and lead in their organizations and society.
• Demonstrate effective communication skills to a wide variety of audiences and practice professional, ethical, and societal responsibilities.

Learning Outcomes

Upon completion of the program requirements, the graduate will be able to:

• Synthesize advanced information, concept, theory, and specialized method to manage and resolve problems in business intelligence and analytics.
• Construct solutions to complex problems related to business intelligence and analytics.
• Apply practical and technical skills in business intelligence and analytics to develop effective solutions.
• Collaborate with different people in learning and working communities and with other groups ethically and professionally.
• Communicate clearly the knowledge, skills, and ideas using appropriate methods to peers and clients, either experts or non-experts.
• Use a wide range of suitable digital technologies and appropriate software competently for business intelligence and analytics problem solutions.
• Apply mathematical or statistical and other quantitative elements in business information management for analysis, reporting, and information delivery.
• Demonstrate autonomy, leadership, and responsibility in managing work within own team or with other teams in various situations.
• Demonstrate self-advancement through continuous academic or professional development.
• Lead or initiate entrepreneurial ventures or projects in business intelligence and analytics.
• Demonstrate adherence to ethical and professional codes of practice in executing work.

Admission Criteria

The normal requirement for admission to the programme is a four-year bachelor degree recognized by the university in either engineering or sciences.

Career Prospect

• Business Intelligence Analyst
• Quantitative Researcher
• Data Mining Engineer
• Quantitative Analyst
• Chief Data Officer
• Financial Analyst
• Big Data Analyst
• Data Architect
• Data Scientist
• Data Analyst

Programme Fees

The mainstream programme fees for a bachelor's degree in engineering or sciences offered by the university are applicable.

Quick Facts

• Industry-Focused
• AI-Infused
• Package 1 : 1.5 Years
• Package 2 : 2 Years
• Credit Hours : 4-5