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Students
Tuition Fee
Per course
Start Date
Not Available
Medium of studying
On campus
Duration
36 months
Program Facts
Program Details
Degree
PhD
Major
Artificial Intelligence | Computer Science | Data Analysis | Information Systems | Philosophy | Mathematics | Statistics
Discipline
Computer Science & IT | Humanities | Science
Minor
Data Science | Artificial Intelligence and Robotics | Machine Learning | Data Processing and Data Processing Technology | Data Modeling/Warehousing and Database Administration | Philosophy and Philosophical Inquiry
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2023-07-01-
2023-10-01-
2024-01-01-
About Program

Program Overview


The Data Science program at Lincoln University College equips graduates with the knowledge and skills to conduct data science research and discovery. The program prepares students for careers in the data science field, including roles such as Data Scientist and Machine Learning Engineer. The program duration is between 3-5 years and has ongoing intake periods. Graduates are expected to publish a minimum of four research articles in Scopus-indexed journals with Lincoln University College affiliation.

Program Outline


Careers:

  • Career Opportunities: The program prepares graduates for careers in the data science field.
  • This includes roles such as Data Scientist, Big Data Analyst, Machine Learning Engineer, Mining Analyst, Data Modeler, Data Architect/Engineer, Qualitative Analyst, and more.

Other:

  • Duration: The program duration is between 3-5 years.
  • Intake: The program has ongoing intake periods.
  • Program Aim: The program aims to produce graduates with strong knowledge and skills in data science research and discovery.
  • This includes individuals who are competent in technical and interpersonal skills, can work ethically and digitally, adapt to industry needs, and have strong leadership and entrepreneurial skills.
  • Program Objectives: The program objectives are to:
  • **Provide students with a strong understanding of data science concepts and tools.
  • **Develop students' knowledge of data-driven science research and methods.
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