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 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.
On this course, you'll study subjects including the fundamentals of data science, data mining, machine learning, data analytics and visualisation, and security of big data. In addition, you'll have the opportunity to undertake a placement (subject to availability) and put your skills into practice, enhancing your employability. You can find your own placements or develop professional practice projects, working in our Digital Incubator or research-based projects with one of our academic research teams.
This highly practical course means you’ll have the opportunity to experience the latest technologies and tools used in industry, giving you the confidence to be productive and effective when you go out into the workplace.
Level | Masters |
Discipline | Computer Science and IT |
Duration | 24 months |
Intakes | Sep |
Application Fees | GBP 0 |
Tuition Fees | GBP 16000 |
Campus | City |
Language proficiency (minimum) | |
IELTS | 6 |
---|---|
TOEFL | Not Accepted |
PTE | 59 |
Duolingo | Not Accepted |
Exam proficiency (minimum) | |
SAT | Not Required / Waiver |
---|---|
ACT | Not Required / Waiver |
GRE | Not Required / Waiver |
GMAT | Not Required / Waiver |
Minimum GPA - 60%
QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.
THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.
The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis
The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.