DPhil with a specialisation in Applied Data Science
Study Discipline: Science & Mathematics
Study Programme Details
| City: | Johannesburg |
| Country: | South Africa |
| Admission Sessions: | Summer Session |
| Mode of Study: | Fully on Site |
About this Study Course
Embark on a transformative journey of groundbreaking research with the DPhil in Applied Data Science at the University of Johannesburg. This program is not just a qualification; it’s a testament to your ability to independently contribute to the evolving landscape of data science. Through your doctoral thesis, you will showcase evidence of original scientific work that significantly advances knowledge in the field.
As a qualifying student, you’ll not only display applied competence in research methodology but also master the art of effective communication in both written and oral forms. The holistic approach of the program extends beyond the technical aspects, encouraging you to reflect on the broader impact of your research decisions within the information technology management industry.
Overview
Open the doors to endless possibilities with the DPhil in Applied Data Science, denoted by the program code P34ADQ. Whether you choose the intensive 1-year full-time track or the flexible 2-year part-time option, you’re engaging in a program positioned at NQF Level 10, encompassing 360 credits. SAQA accreditation (117902) solidifies the program’s standing as a pinnacle of academic excellence at the Auckland Park Kingsway campus.
The medium of facilitation accommodates both part-time and full-time students, ensuring a dynamic learning experience. Through a curriculum designed to address current trends and future possibilities, you will find yourself at the forefront of applied data science.
Admission Requirements
Student access will be provided to the student who is in possession of any relevant information systems, information technology or informatics master’s degree on NQF level 9 with a 65% average. The Dean of the College of Business and Economics may refuse a student admission to the doctoral qualification if he/she is of the opinion that the student’s academic background is insufficient for the proposed studies.
The Departmental Higher Degrees Committee reserves the right to assess application appeals and provide guidance pertaining to the matter.
Applications must be supported with a CV and proposal. Information about potential supervisors and research topics are available at
- Advanced Data Analytics
- Machine Learning Applications
- Research Methodology in Data Science
- Dissertation Research
For more information, please visit respective university web page link.
Future Career Outcomes
Executive for Innovation, Director: Strategy, planning and management, Manager Digital Innovation, Head of Data Science, Data Science Manager, Senior Data Scientist, Chief Researcher and Senior Knowledge Analyst
Related Career Pathways
Big Data Analyst, Chief Data Officer, Data Scientist, Machine Learning Engineer, Research Scientist in Data Science
Visa Requirements:
For visa information, please visit South Africa page for student visa and student life.
