Doctor of Philosophy in Computer Science

Highlights about course

Program Level

PhD

Duration

3 Years

Tuition Fees

RM 55,800

Intake

January, May, September

Overview

This programme aims to prepare students at the postgraduate level with computer science knowledge and computing principles to analyse and solve real-world computing problems. These knowledge and principles are built on combinations of data analysis and computing in sustainability with lifelong learning. Essentially, in this programme, students will be expected to come up with solutions using computer science and technology for effective decision making, forecasting, investing and budget planning. One of the objectives is to produce leaders with advanced soft skills to do research in groups and provide solutions scientifically and solve problems critically.

About the Programme

 

Programme Objectives

– Human capitals with recent knowledge and skills to provide solutions using computer science and technology for effective decision making, forecasting, investing and budget planning.

-Competent human capitals with skills in application programming interfaces (APIs) and frameworks know-how for data acquisition, visualisation, and analysis in providing innovative and practical data analytics services.

-Leaders with advanced soft-skills who are able to do research in groups and provide solutions scientifically and solve problems critically.

 

Entry Requirements

Academic Requirements

  • A Master’s degree or equivalent in the field of Computing or related fields as accepted by the HEP Senate; OR
  • A Master’s degree (Level 7, MQF) in non-Computing fields with a minimum of FIVE (5) years of working experience in the field of computing or related fields must undergo appropriate prerequisite courses as determined by the HEP; OR
  • Other qualifications equivalent to a Master’s degree in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate bridging courses as determined by the HEP; OR
  • A Master’s degree (Level 7, MQF) in non-Computing fields with less than FIVE (5) years of working experience in the field of computing or related fields must undergo appropriate bridging courses as determined by the HEP and subject to rigorous internal assessment.

English Language Requirements

For Local and International students
IELTS

Band 6.0

International applicants who do not meet the English Language requirements will need to improve their proficiency by enrolling into the English for Tertiary Education programme (R/KJP/00920-00929) which helps them prepare for attaining a required band score. Placement into the various levels of the English for Tertiary Education programme depends on the English Language qualification students have at the point of admission and/or the outcome of the English Placement Test.

 

Courses Offered

Semester 1
  • Research Methods in Computer Science
Semesters 2 – 8
  • PhD Thesis
Semester 9
  • Submission and Viva
All information is correct at the time of upload and UCSI University reserves the right to make amendments without prior notice.

 

Career Opportunities

 

  • Computer Scientist
  • Data Scientist
  • Finance Analyst
  • IT Specialist

 

Programme Learning Outcomes

 

1. Demonstrate comprehensive, systematic, integrated, complex and abstract ideas of current critical issues in the most advanced frontiers of knowledge of computer sciences. (MQF1)

2. Critically analyse, evaluate and synthesise new, complex and abstract ideas and current issues in the most advanced frontiers of knowledge of a field of computer sciences and refine existing concepts and practices. Make substantial contribution

through the creation of new knowledge, theories, solutions or practices through originality and independent research, which satisfy peer reviews and international standards. (MQF2)

3. Demonstrate mastery of practical, technical skills or practices and scientific skills which are at the forefront of one or more areas of specialisation and demonstrate ability to design and implement or adapt highly advanced, specialised research methodologies which is at the forefront of one or more areas of specialisations. (MQF3 i)

4. Convey information, insights, ideas, problems and communicate research findings effectively to peers, scholarly communities and society at large in the mathematical sciences field of expertise (MQF3 ii)

5. Use, select or improve existing or develop new appropriate tools or methodologies to support and enhance research activities. (MQF3 iii)

6. Work with substantial autonomy, independence, and authority in the conduct and management of research and resources which contribute to new knowledge, advanced practices, processes and products. (MQF3 iv)

7. Take full responsibility for own work and where relevant be accountable for overall management of one’s research organization. (MQF4)

8. Demonstrate adherence to legal, professional and ethically sound codes of practice. (MQF5)

About University

UCSI University

Malaysia

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