Graduates of this programme are well-prepared for leadership roles in AI and data-driven industries. The curriculum includes courses on data management, AI ethics, machine learning algorithms, and statistical analysis, providing students with the essential tools to tackle the challenges of the rapidly evolving technological landscape. The learning structure combines face-to-face, online, and experiential learning, ensuring flexibility and real-world application of concepts.
Career Prospects
Graduates of this programme are well-prepared for leadership roles in AI and data-driven industries. The curriculum includes courses on data management, AI ethics, machine learning algorithms, and statistical analysis, providing students with the essential tools to tackle the challenges of the rapidly evolving technological landscape. The learning structure combines face-to-face, online, and experiential learning, ensuring flexibility and real-world application of concepts.
This approach fosters life-long learning and independence, key attributes for success in the AI and data science sectors, where rapid technological advancements necessitate continuous professional development. Students will also be assigned research supervisors to guide them in pursuing innovative AI and data science projects, allowing for the development of new solutions and advancements in the field.
Programme Objectives
The objectives of the Postgraduate Diploma in AI&DS programme are to produce graduates who can:
- Develop innovative AI-based solutions and data-driven insights.
- Design, implement, and optimize machine learning and deep learning models.
- Conduct scholarly research in AI, machine learning, and data science.
- Provide expertise in key AI&DS areas such as data analysis, machine learning, and predictive analytics.
- Lead teams of professionals to tackle complex data science challenges and deliver impactful solutions.
- Stay at the forefront of technological advancements in AI and data science through continuous learning and research.
Learning Outcomes
Upon completion of the Postgraduate Diploma in AI&DS, graduates will be able to:
- Innovate and develop AI-based solutions to real-world problems.
- Analyze and process complex data sets using modern tools and techniques.
- Conduct high-quality research in the fields of artificial intelligence and data science.
- Demonstrate expertise in machine learning, data analytics, big data technologies, and AI ethics.
- Lead teams and projects in AI and data-driven environments.
- Continuously update and refine their knowledge and skills in AI and data science through self-directed learning and research.
Admission Requirements
To be eligible for admission to the Postgraduate Diploma in Artificial Intelligence and Data Science Programme, the applicant must hold a Bachelor degree or its equivalent from an institution recognised by the NCHE.
Candidates with prior graduate training may, after admission, apply for the transfer of credits to this programme.
Program Duration
The program will extend over a period of one academic year. An academic year shall consist of two semesters and one recess term. A semester shall consist of 15 weeks of lectures.
Program Options
Year One Semester One (5 Cores) | |||||||
Code | Course Name | LH | PH | TH | CH | CU | |
CAI 7100 | Foundations of Artificial Intelligence | 30 | 15 | 15 | 45 | 3 | |
CAI 7101 | Foundations of Data Science | 30 | 15 | 15 | 45 | 3 | |
CAI 7102 | Programming for AI and Data Science | 30 | 30 | 30 | 60 | 4 | |
CRM 7100 | Research Methods | 30 | 30 | - | 45 | 3 | |
CSC 7102 | Machine Learning | 30 | 30 | - | 45 | 3 | |
Total |
| 16 | |||||
Year One Semester Two (4 Cores) | |||||||
Code | Course Name | LH | PH | TH | CH | CU | |
CIS 7202 | Data Mining | 30 | 30 | - | 45 | 3 | |
CAI 7200 | Big Data Analytics | 30 | 30 | 30 | 60 | 4 | |
CAI 7201 | Specialization Electives Introduction | 30 | - | 30 | 45 | 3 | |
CAI 7202 | Capstone Project I | 15 | 30 | 30 | 45 | 3 | |
CSC 7202 | Cryptosystems | 30 | 30 | - | 45 | 3 | |
Total | 19 | ||||||
Graduation Load = 35 Credit Units | |||||||
The minimum graduation load for Postgraduate Diploma = 35 Credit Units
Fees per semester
Local Students (East African Community)
| Fees per semester (UGX) | Functional Fees (UGX) | Application Fees (UGX) |
|---|---|---|
| 2,000,000 | 300,000 | 50,000 |
International Students
International students pay international student tuition fees which is rated in dollars and this specifically covers only the cost of teaching and many student support services. This tuition below is per academic session and includes both the tuition and functional fees.
| Category of Programme | Fees per academic session (USD) | Application / Admission Fee |
|---|---|---|
| Postgraduate | $900 | $30 |
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