布里斯托大学新开数据科学专业
Unit name | Unit code | Credit points | Status |
---|---|---|---|
Large-Scale Data Engineering | EMATM0051 | 20 | Optional |
Technology, Innovation, Business, and Society (TIBS) | EMATM0049 | 20 | Optional |
Text Analytics | COMSM0037 | 10 | Optional |
Visual Analytics | COMSM0038 | 20 | Optional |
Introduction to Artificial Intelligence | EMATM0044 | 10 | Optional |
Data Science Mini-Project | EMATM0050 | 20 | Optional |
Data Science Project | EMATM0047 | 60 | Optional |
Statistical Computing and Empirical Methods | EMATM0061 | 20 | Optional |
Select 20CP from: | |||
Statistical Computing 1 | MATHM0039 | 20 | Optional |
Software Development: Programming and Algorithms | EMATM0048 | 20 | Optional |
120 |
Progression/award requirements
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.