Key information
- Faculty
- Faculty of Social and Historical Sciences
- Teaching department
- Economics
- Credit value
- 30
- Restrictions
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Available only to students on the Ïã¸ÛÁùºÏ²Ê MSc Data Science and Public Policy programme.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module introduces students to a wide range of statistical methods in data science from classical statistical methods to recent advances in machine learning. The module has a strong practical focus and avoids mathematical arguments where possible. Instead, it will focus on developing a heuristic understanding of the methods and on learning how to apply them to real world data.
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Module deliveries for 2024/25 academic year
Intended teaching term:
Terms 1 and 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
50%
Fixed-time remote activity
50%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
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51
- Module leader
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Dr Moritz Marbach
- Who to contact for more information
- economics.dspp@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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