Universiti Kuala Lumpur

Universiti Kuala Lumpur

  • Location: Jalan Sultan Ismail, 50250 Kua, Kuala Lumpur
  • Rating:
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  • Schooling:
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  • Type: Private Institution
  • Courses: 145
  • QS World University Rankings: 1201-1400
  • Times Higher Education World University Rankings: 1501

Master in Data Science Fees Structure, Admission, Intake, Deadline

Study Mode:FULL TIME,PART TIME,
Duration:Full Time: 1.5 years Part Time: 2 years
Level:POST-GRADUATE
Exam Accepted:N/A
Intake:JAN,APR,JUL,OCT
Tuition Fees:N/A

Course Intake

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Overview of Master in Data Science in Universiti Kuala Lumpur Malaysia

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

CAREER PROSPECTS

  • Data Scientist
  • Data Analyst
  • System Analyst
  • Data Architecture
  • Big Data Engineer
  • Artificial Intelligence Analytics Scientist
  • Big Data Solution Architect
  • Business Intelligence Analyst

COURSES

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

Elective

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

ENTRY REQUIREMENTS

  • 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)
Universiti Teknologi
  • 81310 Skudai, Johor
  • Johor
  • Public Institution

Master of Science (Data Science)

Minimum : 1 year 6 months Maximum : 4 years FULL TIME,BY COURSE

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