Q1164 · NCQF Level 7
BSc Data Science with AI
A degree in the collection, analysis, and presentation of data, and in learning systems, with a standing concern for evidence that can be examined.
- Duration
- 4 years
- Credits
- 480
- Level
- NCQF 7
- Mode
- Full-time, Gaborone
Purpose
To form a graduate who can gather evidence, model it without concealment, apply artificial intelligence with stated limits, and present a conclusion that another person can test.
Taught in the School of Data & Intelligence.
Assessment
Formative assessment 50 percent; summative assessment 50 percent. Internal and external moderation by registered assessors.
Instruction is by lecture and by practical class. Written work is set and returned with comment.
Fields of study
These are the subjects of the degree as registered. They are not a weekly timetable, and this draft does not invent a campus calendar around them.
- Fundamentals of data science
- Introduction to artificial intelligence
- Programming for data science
- Discrete mathematics and statistics
- Databases and data management
- Professional ethics and data compliance
- Data structures and algorithms
- Machine learning
- Big data technologies
- Data visualisation and analytics
- Risk management in data science
- Secure data processing
- Advanced AI and deep learning
- Cloud computing for data
- Data mining and predictive analytics
- AI ethics and fairness
Later years
- Time-series analysis, strategy, and leadership in data science in later years
- Elective study as offered, including natural language processing, computer vision, or ethical AI governance
- A final-year project whose data and method are open to inspection