Features Of the Program :

• Designed for those wanting to work with and derive meaning from data, but without prior experience of programming
• Explore a wide variety of applications to prepare you for a career working with data in a wide variety of sectors
• Graduate with the capability to extract otherwise-hidden information within data and use it to make informed decisions, with the skills needed to enter a Data Scientist or Analyst role
• Learn a variety of languages essential to Data Science, including R and Python
• Work with data and gain the ability to perform statistical analysis to answer questions, and understand how to interpret and communicate results in the presence of bias and uncertainty.
• Duration of the course is one year.

Course content

• Teaching on this programme is delivered through a mix of lectures, projects, group work and hands-on lab sessions.
• Many of your lectures will be interactive combining a blend of classroom learning, coding and data analysis. Group and individual projects will be undertaken using real data and will often focus on topical challenges which are the focus of current research.
• Assessments will be based on a combination of exams, group and individual project work, practical data analysis, visualisation and communication skills.
• The course is based around open source software. As a student you will also have access to many programmes, such as Matlab, through the University.
• All aspects of the course are design with windows, mac and linux in mind. Many of your practical sessions will take place in the department’s newly refurbished mac suites.
• The taught component of the programme is completed in June with the project extending over the summer period for submission in September.

Msc Project/Dissertation:

• This dissertation will give you the chance to demonstrate your knowledge, to exercise your initiative and personal responsibility, and to use the research techniques and skills you have developed throughout your degree.
• You will be required to solve a research or industrially-related practical problem based on the topics learned within, but not exclusive to, the MSc programme you are registered for.
• The project work will lead to a major piece of work (dissertation) of approximately 15,000 words (max. 80 pages, including references and appendices) that involves project planning, analytical, experimental or empirical results and their interpretation, showing how the goals of the project have been met. 
•  As part of the research project, you are expected to undertake a considerable amount of self-study. There is no formal taught component in the module, apart from suggested regular meetings with the supervisor.

Learning Outcomes:

• You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.
• You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. 
• Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen.