School - School of Computing, Science & Engineering
Subject area - Computer Science
Start Dates(s): September; January
Full-time: 1 year
Part-time: 3 years
Full-time - £7,560
Part-time - £1,260 per 30 credits module
- Study a course that is unique in the UK and has been specifically developed to meet the skills gap. Course content can be applied to very diverse fields- there are many job opportunities in this area.
- Gain SAS certification.
- Learn to tell a story from data. Become immersed in Big Data techniques and platforms, working with real-world messy data to gain experience across the data science stack.
- Part-time study option
- International students can apply
Have you ever wanted to ‘Mung’ data? Apply Machine Learning techniques? Search for hidden patterns? Be part of Big Data?
This course is your opportunity to specialize as a Data Scientist, one of the most in demand roles across all sectors including health, retail, and energy. Companies such as Google and Microsoft, and also public organisations such as the NHS are struggling to fill their vacancies in this field due to a lack of suitably qualified people. This course is unique in the UK in that it has been developed as a MSc conversion course – if you have a good honours degree in any discipline with a demonstrable mathematical aptitude, an enquiring mind, a practical and analytical approach to problem solving, and an ambition for a career in data science; then this course is for you.
During your time with us, you will develop an awareness of the latest developments in the fields of Data Science and Big Data including advanced databases, data mining and big data tools such as Hadoop. You will also gain substantial knowledge and skills with the SAS business intelligence software suite due to the partnership of the University with the SAS Student Academy."We are especially pleased to endorse the new MSc in Data Science. With the explosion of interest and investment in data science teams, our customers cannot get enough graduates with SAS-based analytical skills. Courses such as this new MSc are an important step forward by the University to addressing this skills shortage, especially amongst home students." - SAS
This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project worth 60 credits. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and could lead to ideas that you can develop for your MSc Project.
Before you begin this course, you will attend an intensive week-long session, which will prepare you for the course by introducing basic statistic and database concepts, as well as an overview of either Python or R programming for data analysis.
Principles of Data Science (30 Credits)
This module aims to provide you with the history and context of data science, the skills, challenges, and methodologies the term implies. In addition you will learn how to develop skills in presenting quantitative data using appropriate displays, tabulations and summaries, and statistical methods in developing and testing hypotheses.
Advanced Databases (30 Credits)
This module aims to provide you with a broad overview of the general field of 'database systems' and to develop specialised knowledge in areas that demonstrate the interaction and synergy between ongoing research and practical deployment of this field of study.