Master in Artificial Intelligence and Data Science

Career Opportunities

Graduates of the Master of AI&DS programme will be well-equipped for a range of roles, including:

• Data Scientists
• AI Researchers
• Machine Learning Engineers
• Data Engineers
• Business Intelligence Analysts
• Data Analysts
• AI and Data Science Consultants
• Predictive Analytics Specialists
• Data-Driven Product Managers

These professionals can work in various sectors, including tech companies, finance, healthcare, government, and academia. The program’s focus on AI and data science ensures that graduates can contribute to the development of new technologies and innovative solutions in a wide range of industries.

Programme Objectives

The objectives of the Master of 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 Master of 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

Students will be admitted to the Master of Artificial Intelligence and Data Science (AI&DS) through two main avenues: Degree Holders and Post-Graduate Diploma Entry Schemes.

Degree Holders Scheme

Candidates seeking admission through the Degree Entry Scheme are required to possess the following:

• A Bachelor's degree in any field with minimum of a Lower Second-class degree (from an accredited University.

Candidates with prior graduate training may, after admission, apply for the transfer of credits to this programme.

Program Duration

The LLM Programme shall run on a semester system and it is expected that students will graduate after two (2) academic years of their studies. The first two semesters will be devoted to coursework during which time the students must take courses relevant to their specializations to fulfil the total credits required for successful completion of the LLM degree.  Each semester will comprise 17 weeks, of which 15 weeks shall be used for teaching and 2 weeks for examinations. Students will undertake the research for the dissertation in the two semesters of the second year of study.

Program Options

Fees per semester

All students will pay UGX 20,000 and UGX 25,000 per year as NCHE fees and Guild fees respectively.

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