School - School of Computing, Science & Engineering
Subject area - Computer Science
Start Date(s): September; January
Full-time: 1 year
Part-time: 3 years
2019-20 fees will be displayed shortly.
Full-time - £7,560
Part-time - £1,260 per 30 credits module
UK - £7,560
International - £13,860
- 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 offers a comprehensive range of topics split in to four modules worth 30 credits each. This modular structure is designed to improve the breadth of your learning and help you to generate ideas for your MSc Project, which is worth an additional 60 credits.
External speakers from multinational blue-chip organisations and local companies will give seminars to complement your learning and provide real-world case studies related to modules you will study.
Before you begin the 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.