This MSc in Data Science and Artificial Intelligence provides students with the most advanced knowledge, methods and processes as enablers for deploying data science and artificial intelligence based solutions to real-world problems. In particular, this degree emphasizes on various investigative data science and artificial intelligence based approaches, which apply to the security, environment, human behaviour understanding, transport, health, smart cities domain sectors and more.
Students will specifically learn about recent advances in the fields of data analytics, big data tools and technologies, machine intelligence while concretely experimenting on machine knowledge extraction and decision-support.
Students will graduate with important skills in strategic thinking, for scientific research implementation and communication. This is in addition to the theoretical and practical skills which are needed for the efficient implementation of data science and artificial intelligence based projects.
BU has established close relationships with companies, research and government agencies that are interested in recruiting skilled graduates in data science and artificial intelligence. Through these relationships BU has organised codejams/hackathons where students will have the opportunity to visit such organisations for a specific period of time and work on interesting and practical data science and artificial problems. This approach will support students for establishing an internship or placement during their course.
BU uses a broad range of data science tools and technologies, from those which are established in industry and academia for many years (e.g. MATLAB, R and Weka), to the new favourites which prepare students for mainstream data science jobs currently (e.g. Python, Jupyter notebook, Apache Spark and libraries such as Keras, TensorFlow, and PyTorch).
BU teaches a number of core units and offer modern and popular subjects as options, such as Blockchain and Digital Features, which will give graduates a competitive edge when entering the job market.
| Level | Masters |
| Discipline | Computer Science and IT |
| Duration | 12 months |
| Intakes | Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 16000 |
| Campus | Talbot |
| Language proficiency (minimum) | |
| IELTS | 6 |
|---|---|
| TOEFL | 60 |
| PTE | 54 |
| Duolingo | Not Required / Waiver |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 60.0%
801-850
401-500
--
742
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.
