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available as Online learning

available as Part-time

Data science is a major growth area within both the commercial and public sectors and there is a shortage of professionals that have the required range of data science knowledge and skills. This work-based learning MSc Data Science programme addresses this shortage.

The programme is aimed at those working in a data-related role within their organisation, whether in a technical, software or business context and want to enhance their skills and understanding of contemporary data analysis tools and techniques.

Edinburgh Napier University has excellent research and knowledge transfer links with many local, national and international organisations in data science related areas.

The acquisition of knowledge and skills on the programme will enable students to drive improvements within their organisations, enabling them to focus on areas of specialisation within their professional field and to broaden their knowledge and skills to enhance their career development.

Delivered online, this MSc is ideally suited to individuals who intend to balance their personal and professional commitments and study while working.

Applications are now being considered for entry in January 2019, May 2019, and September 2019.

Course details

You will develop the business understanding and analytical, statistical and computing skills required to contribute to this vital field. Linking learning and development to your work activities, you can ensure that your professional development is part of the strategic plan of your organisation to promote innovation and change.

Learning, teaching and assessment methods focus on providing students with engaging and contemporary materials that link theory to practice and require students to take a critical perspective on both.

By linking learning and development directly to work activities, students can ensure that their professional development is part of the strategic aims of the organisation. 

Students will also have the opportunity to consider and reflect on established views of the organisation and processes relating to data science, in order to promote innovation and change.

Your final dissertation project will allow you to use the tools and approaches you’ve developed on the course.

Modules

Modules that you will study* as part of this course

  • Advanced Professional Practice ( SOC11107 )
  • Data Analytics ( SET11122 )
  • Data Wrangling ( SET11121 )
  • Data-Driven Decision Making ( INF11116 )
  • Masters Dissertation ( SOC11101 )

* These are indicative only and reflect the course structure in the current academic year. Some changes may occur between now and the time that you study.

How you’ll be taught

This course is designed for professionals already employed in the area of computing who wish to develop their data science skills. It allows you to gain significant course credits by applying knowledge and skills gained from this course to your company’s data. Your knowledge is further enhanced via a number of taught modules.

You will be mentored and supported by a dedicated team with both academic and industry experience to deliver a package of data science related work over three trimesters drawing on your current projects/activities.

Overall, you will attend campus an average of one day per month during term time. 

Assessments

The taught modules will be assessed by exams and coursework.

Facilities

Depending on chosen modules, our specialist labs may include:

The Sensorium - A forward-looking User Experience (UX) Evaluation Lab utilising the next generation of real time human behaviour insight technology

SOCLAB - Virtual Security Operations Centre

Swarm Robotics - A custom-designed robot arena and laboratory

Lions Gate - A locus of interdisciplinary research focusing on sustainability, digital interaction, health and well-being.

Careers

Participation in this course will indicate your aspirations as a leading Data Scientist and your dedication to your management, enhancing your chances of promotion.


Visit the MSc Data Science page on the Edinburgh Napier University website for more details!

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