- SCQF Level
Data science is becoming a vital part of the modern world. Data science is one of a number of emerging technologies, which include artificial intelligence and machine learning that are becoming vital for contemporary societies. Employment trends show there is a shortage of trained data scientists. Additionally, data skills are also important in everyday life and whilst you are at college and/or university. You will find out what data science is used for, the principles behind it, and gain practical skills in analysing large datasets. You will then be able to apply these skills in your personal life, at college/university and in employment.
- Data Citizenship (J2HR 46)
- Data Science (J2G4 46)
You will also complete one optional unit, which the college will choose.
- Computer Programming (HY2C 46)
- Data Science: Project (J2GV 46)
- Data Science: Statistics (J2G89 46)
- Data Security (H9E2 46)
- Machine Learning (J2G7 46)
- Statistics (H95Y 46)
You must have:
- 3 passes at National 5, which should include Maths Science or Computing
- A clear interest in the subject
Tuesday and Thursday afternoons (1.30pm to 4pm). The duration of the course is from the end of August to the end of April.
The aim of the qualification is to provide a foundation in data science that will prepare you for further studies at college or university or eventual employment via an apprenticeship or degree course.
Potential progression paths may include:
National Certificate in Computing with Digital Media
HNC Data Analytics
HND Computer Science
Technical Apprenticeship in Data Analytics
Graduate Apprenticeship in Data Analytics
Possible progression could lead to:
BSc Computer Science
BSc Data Science
Degree in a range of other disciplines
If you wish to specialise in the field of data science, a variety of future career opportunities may be available including: Business intelligence analyst, Data analyst, Data engineer, Data scientist, Statistician, Systems analyst.