Master of Science [M.Sc] (Big Data Science)
Field of Study:
£24,625/Yr
A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.
The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:
- Statistical Data Modelling, data visualization and prediction
- Machine Learning techniques for cluster detection, and automated classification
- Big Data Processing techniques for processing massive amounts of data
- Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio Engineering, Intelligent Sensing and Internet of Things
- Use case-based projects that show the practical application of the skills in real industrial and research scenarios.
Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.
The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.
Tuition Fees
Other Expenses
Head | Avg Cost Per Year |
---|---|
Housing and Board | £18100 |
Total Cost | £18100 |
Course Guides
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VISA & Work Study
VISA
- Confirmation of Acceptance for Studies (CAS) is a unique number issued to students by Queen Mary which allows students to apply for a student visa with the UK Visas & Immigration (UKVI) service. When we issue a CAS to students, they are confirming that Queen Mary will sponsor their studies in the UK. Students must have a CAS from Queen Mary to be able to apply for a student visa to study here.
- To request a CAS please select the CAS and Immigration tile in the applicant portal and follow the instructions. Students will not be issued a CAS until they have firmly accepted an unconditional offer, paid any required deposit and the CAS issuing window must be open. Students can apply from overseas up to 6 months before your course start date.
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
VueVille Future Technology Scholarship | Scholarship per student£ 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
Commonwealth Master’s Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
1st Formations Business Scholarship | Scholarship per student£ 800/Yr$800 | Level Of StudyBachelor | TypeMerit-Based | |
(ISC)² Women’s Cybersecurity Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
Collegedunia $150 Scholarship Program | Scholarship per student£ 150/Yr$150 | Level Of StudyBachelor | TypeMerit-Based | |
Commonwealth Shared Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based |
Options Available
Program | Delivery Type | Duration | Tuition Fees |
M.Sc Big Data Science with Industrial Experience | full time | 2 years | £24625.4 |
Reviews
10 Reviews Found
Course Curriculum
COURSE CURRICULUM WAS OF INTERMEDIATORY LEVEL, YOU HAVE TO STUDY ON YOUR OWN, TEACHERS WERE JUST ABOVE AVERAGE, MACHINE LEARING TEACHERS WERE REALLY BAD, MOST OF THE TIME YOU ARE JUST FOCUSING ON ASSIGNEMENTS AND LABS
Fees
18,000 POUNDS
Comments