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Masters
University of Sunderland
Data Science MSc
University of Sunderland

Data Science MSc

UNIVERSITY OF SUNDERLAND

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Full time | University of Sunderland | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course Summary

The UK Government has identified a huge shortage of specialists in data science and artificial intelligence. The University of Sunderland is looking for a new generation of idealists, visionaries and problem solvers to help business, industry and government make the right decisions in our increasingly complex and uncertain world. This course is designed for students who have computing, STEM experience or prior experience in working with data (e.g. statistics), to gain the knowledge and skills required to work in data science or data analytics in the real world. We want you to bring your background with you, whether you graduated in Psychology, Business, Geography or Law. We are looking for people who ask questions, who don’t jump to conclusions, and who respond with caution. We want people who are able to find and communicate the best possible solutions.

Modules

Computing Masters Project (30 Credits)
Develop a practical deliverable and investigate an area of academic research through the support of a sponsor for example: an IT strategy; an investigative study; a technically challenging artefact (e.g. a feasibility study, design, implementation, re-engineered solution); or undertake a theoretical review based on a novel research question (provided by a research active member of staff). Underpin the project with a literature review that is a conceptual framework of your study - a systematic synthesis of concepts, assumptions, expectations, beliefs, and theories that supports and informs your research.
Data Science Fundamentals (60 Credits)
Data Science Product Development (30 Credits)
Machine Learning and Data Analytics (30 Credits)
Technology Management for Organisations (30 Credits)

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£8,500

International fees
Course fees for EU and international students

For this course (per year)

£16,500

Entry requirements

We require applicants to hold an undergraduate degree with a classification of 2:2 or above in a computing or related discipline (mathematics, statistics, engineering), or 2:1 or above in a relevant non-computing or related discipline (which has numeracy included and/or application of big data as a significant theme). Our typical offer is 57% - 60% a 3 year (4 year for Engineering) graduation degree from an AICTE / UGC recognised University.

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