Data Science (MSc)

Our msc in data science equips graduates to embark on highly skilled careers in data science, artificial intelligence and machine learning. This specialist master's in data science provides a theoretical knowledge of data science alongside the practical skills that will help you prosper in the jobs market. 

You'll be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualisation.

What you should know about this course

• You will learn about many interesting topics in modern data science statistics, data visualisation, programming, machine learning, and data visualisation, plus application areas such as business intelligence.
• We will provide you with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.
• Gain practical skills for careers within this specialised field.
• Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

About our MSc Data Science

• Want to find out more about studying a Master's in Data Science at the University of Greenwich? Hear from the course leader, Dr Tatiana Simmonds.

What you will study
Year 1
Students are required to study the following compulsory modules.

• MSc Project (60 credits)
• Big Data (15 credits)
• Data Visualisation (15 credits)
• Machine Learning (15 credits)
• Programming Fundamentals for Data Science (15 credits)
• Ethics in Data Science (15 credits)
• Essential Professional and Academic Skills for Masters Students
• Statistical Methods for Time Series Analysis (15 credits)

Students are required to choose 15 credits from this list of options.

• Clouds, Grids and Virtualisation (15 credits)
• Blockchain for FinTech Applications (15 credits)

Students are required to choose 15 credits from this list of options.

• Technologies for Anti-Money Laundering and Financial Crime (15 credits)
• Graph and Modern Databases (15 credits)

How you will learn
Teaching

• In a typical week, learning takes place through a combination of lectures, tutorials and practical work in the labs. You'll be able to discuss and develop your understanding of topics covered in lectures in smaller group sessions, and to put your knowledge into practice in our specialist computer laboratories.
• Teaching hours may fall between 9am and 9pm, depending on your elective courses and tutorials.

Class sizes

• Lectures are usually attended by larger groups and seminars/tutorials by smaller groups. This can vary more widely for modules that are shared between degrees.

Assessment

• On this course, students are assessed by coursework, examinations and a project. Some modules may also include practice assessments, presentations, demonstrations, and reports, which help you to monitor progress and make continual improvement.

Feedback summary
We aim to give feedback on assignments within 15 working days.

Dates and timetables

• The academic year runs from September to the end of August, as the students are working on their project full-time during the summer months.

Careers and placements
What sort of careers do graduates pursue?

• Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.

Do you provide employability services?

• Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.
• The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.
• Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.

Support and advice
Academic skills and study support

• We want you to make the most of your time with us. You can access study skills support through your tutor, lecturers, project supervisor, subject librarians, and our academic skills centre.
• We provide additional support in Mathematics.

Support from the department

• As a Computing and Mathematical Science School student you can enter our Oracle mentoring scheme. This helps students to liaise with industry for advice on careers, professional insight, guidance in looking for jobs, and developing employability and presentation skills.