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Master in Data Science

Sarjana dalam Sains Data

This programme will be the first dual Master degree in Data Science in Malaysia. At the end of the program, the candidates will receive two certifications from both Universiti Kuala Lumpur (UniKL) and La Rochelle Université (LRU), France. All taught courses will be conducted as a modular basis at UniKL MIIT by joint academicians between UniKL and LRU. This Master programme is a valuable addition to the existing curriculum and relates to various and technical analytical specialisations offered by UniKL and LRU

Programme Educational Objectives (PEOs)

  • PEO1 : Highly knowledgeable, strong technical competent and innovative solution in Data science;
  • PEO2 : Effective leaders with teamwork skills, as well as verbal and non-verbal interpersonal communication skills;
  • PEO03 : Committed towards the importance of lifelong learning and continuous improvement;
  • PEO4 : Professional, ethical, and socially responsible; and
  • PEO5 : Capable of embarking on business and technopreneurial activities.

Programme Learning Outcomes (PLOs)

  • PLO1 : Integrate knowledge concerning current research issues in Data science and produce work that is at the forefront of developments in the domain of the Data science;
  • PLO2 : Evaluate data science solutions in terms of their usability, efficiency and effectiveness;
  • PLO3 : Develop data science solutions and use necessary tools to analyse their performance;
  • PLO4 : Apply existing techniques of research and enquiry to acquire, interpret and extend, knowledge in data science;
  • PLO5 : Practise good teamwork as members or a leader in a group;
  • PLO6 : Demonstrates knowledge of business practice and echnopreneurial competencies in data science;
  • PLO7 : Displays behaviour that is consistent with codes of professional ethics and responsibility.
Career Path :

  • Data Scientist
  • Data Analyst
  • System Analyst
  • Data Architecture
  • Big Data Engineer
  • Artificial Intelligence Analytics Scientist
  • Big Data Solution Architect
  • Business Intelligence Analyst
Semester 1 (Year 1)
  • Data architecture and advanced databases
  • Probability and statistics for data science
  • Data mining
  • Acquisition and visualisation analytics
  • Innovation Technology & Entrepreneurship

Semester 2 (Year 1)
  • Big data architecture
  • Advanced Machine learning
  • ** Elective Courses
  • Research methodology

Semester 3 (Year 2)
  • Research project

  • ** Natural language processing
  • ** Information systems and Business Intelligence
  • ** Information / Data security
Local Student :

  • Full Fee (Full Time-Local): RM42,500
  • Full Fee (Part Time-Local): RM42,900

International Student :

  • Full Fee (Full Time-International): RM58,700

Entry Requirement:

  • A Bachelor’s Degree of computing or a relevant field or its equivalent, with a minimum CGPA of 2. 75; OR
  • A Bachelor’s Degree of computing or a relevant field or its equivalent, with a minimum CGPA of 2. 50 and not meeting CGPA of 2. 75, can be accepted subject to rigorous internal assessment process and working experience in a relevant field; OR
  • A Bachelor’s Degree of computing or related in computing or its equivalent, with CGPA less than 2.50, with a minimum of 5 years working experience in a relevant field may be accepted.
  • Passed the English language proficiency either with minimum IELTS Band 5.5 or TOEFL 525 (International students)


Quick Points


Programme Status:
Provisional Accredited

Programme Code:
JPT/BPP (N/481/7/0814) 11/24, MQA/PSA 12981

Computing (Computer Science)

Study Mode:
Part Time

Study Level:
Master (Coursework)

January & July

Full Time : 1.5 – 3 Years
Part Time : 2 – 5 Years

Universiti Kuala Lumpur
Level 26, 1016, Jalan Sultan Ismail,
50250 Kuala Lumpur

Tel:  +603 - 2175 4162
Fax: +603 - 2175 4440
Email: cps@unikl.edu.my


1016, Jalan Sultan Ismail,
50250 Kuala Lumpur

+603 - 2175 4000

+603 - 2175 4001


MOE Registration Certification No: DU011(W)

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