Proficiency in Data Science
Data science is a fast-moving field and skills in this area are highly sought after by employers. The skills you will gain through the Proficiency in Data Science are directly applicable to many job roles. The pathway provides you with the opportunity to about the core competencies and application of data science and how it is transforming business and society.
This pathway is open to all students, from any discipline.
If you pass 60 credits of modules taken from approved lists, you may have the words ‘with Proficiency in Data Science’ added to your degree title when you graduate.
If you have not taken A-level Mathematics or an undergraduate statistics module, you should complete the following module prior to any other modules:
| Code | Module Title | Credits | Pre-requisites |
|---|---|---|---|
| BEMM460 | Statistics and Mathematics for Business Analytics | 15 | None |
If you have not taken an undergraduate module in Python programming, you should complete the following module prior to any other modules:
| Code | Module Title | Credits | Pre-requisites |
|---|---|---|---|
| Either: COM2016 (runs in term 1) or COM2018 (runs in term 2) | Programming with Python | 15 | None |
All students should complete the following module:
| Code | Module Title | Credits | Pre-requisites |
|---|---|---|---|
| COM2015 | Introduction to Data Science | 15 | None |
You may choose your remaining 15-45 credits from the following list:
| Code | Module Title | Credits | Pre-requisites |
|---|---|---|---|
| ECM3420 | Learning from Data | 15 | None |
| COMM108 | Data Systems | 15 | None |
| ECMM422 | Machine Learning | 15 | ECM3420 Learning from Data |
| SOCM033 | Data Governance and Ethics | 15 | None |
| SPA3009 | Data Science in Society | 15 | None |
| BEM2040 | Database Technologies for Business Analytics | 15 | None |
| BEM3064 | Analytics and Visualisation for Managers and Consultants | 15 | None |
| CSC2020 | Coding for Medical Scientists | 15 | None |
| BIO2092 | Genomics and Introductory Bioinformatics | 15 | BIO1334 Genetics or NSC1003 Foundations in Natural Science |
| BIO3092 | Bioinformatics | 15 | BIO2092 Genomics and Introductory Bioinformatics |
Requirements
In line with section 12 of the TQA Manual , modules taken for the ‘with Proficiency in Data Science’ pathway must be taken at two different levels and must be passed. Condoned modules will not count towards qualification for the 'with Proficiency' degree title.
Students satisfying these criteria must confirm with their Faculty in advance of final awarding, that they wish for their award title to include the ‘with Proficiency in Data Science’ wording.
112 - Award of Undergraduate Degrees 'with Proficiency in' - Teaching Quality Assurance Manual - University of Exeter [26/01/2024]
