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Academics

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Ph.D. in Computer Science

The PhD program in Computer Science (further in the text: PhD program) is designed to provide advanced skills and sophisticated knowledge for individuals planning a career in academic, industry and research settings in any subfield of computer science and engineering. The program focuses on the development of an in-depth understanding of the nature, implementation and evaluation of computing principles and applications together with the growth of research skills. The current areas of research interest for the PhD in Computer Science encompass a wide spectrum, with specific focus on priority areas for Kazakhstan, such as artificial intelligence, systems, data analytics, information security, and smart cities.

These areas are also aligned with well-known international research priorities: Leadership in Enabling and Industrial Technologies (Information and Communication Technologies; Artificial Intelligence); Health, demographic change and well-being (Personalized medicine; Telemedicine; Smart Houses and Smart Cities). By the completion of the PhD program, students will be capable of designing and conducting independent, innovative, original and high-quality research in computer science. In addition, program graduates will be prepared for working in industrial and academic environments, e.g., as university faculty members, senior researchers, engineers and product developers

More information is available on the NU SEDS website:  https://seds.nu.edu.kz/phd_in_cs

 

General information: 

Campus: Astana, Kazakhstan

Language: English

Delivery mode: Full time, on-campus

Duration: 4 years

Total ECTS credit: 178

 

Courses

 

  • DENG-782 Research Methods & Ethics*
  • CSCI 700 Thesis Research
  • CSCI 701 Current Research Literature
  • L-8 Graduate Elective Courses

 

Career

  • Software Developer/Engineer
  • System Architect
  • Computer scientist
  • Cyber Security Expert
  • Web Developer/Designer 
  • Data Analyst/Scientist 
  • Integration Engineer
  • IT Specialist
  • Quality Assurance Specialist
  • Researcher
  • Entrepreneur
  • Machine learning engineer
  • Business analyst
  • Mobile application designer or developer
  • Computer Engineer
  • Robotics Specialist

     


Admission requirements
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