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The Data Science MSc program at the University of Greenwich is designed to provide students with the knowledge and skills needed to analyze and interpret complex data sets. The program covers a range of topics including statistical analysis, machine learning, data visualization, and big data technologies.
Students will have the opportunity to work on real-world data science projects and gain hands-on experience using industry-standard tools and techniques. The program also includes modules on ethics and privacy in data science, ensuring that students are equipped to work responsibly and ethically in the field.
Upon completion of the program, graduates will be prepared for a range of careers in data science, including roles such as data analyst, machine learning engineer, and data scientist. The program also provides a solid foundation for further study at the doctoral level.
| Academic Reqirements | |
| Academic Reqirements | The University of Greenwich maintains a comprehensive set of entry requirements for international applicants seeking admission to both undergraduate (UG) and postgraduate (PG) programs. For UG courses, applicants typically need to demonstrate academic proficiency equivalent to specific educational qualifications, varying based on the country of origin. This might include completion of secondary education with specified grades in relevant subjects. Additionally, proficiency in the English language is essential, often demonstrated through recognized language tests or completion of English-language qualifications. For PG programs, candidates are expected to hold a relevant undergraduate degree or equivalent qualification, again with specific academic requirements tailored to individual countries. The university also assesses language proficiency for non-native English speakers, ensuring that applicants can effectively engage with the academic curriculum and community. In addition to academic qualifications, country-specific requirements may apply. These could encompass additional documentation, such as transcripts or certificates, as well as specific eligibility criteria unique to certain regions. The university's admissions team meticulously evaluates each applicant's credentials in accordance with both general academic standards and any country-specific prerequisites, ensuring fair and equitable consideration for all prospective students. Furthermore, specific program prerequisites and additional course-specific requirements may apply, depending on the chosen course of study. By maintaining transparent and comprehensive entry requirements, the University of Greenwich aims to attract a diverse pool of talented individuals from around the world, fostering an inclusive and dynamic academic environment. |
| English Proficiency | |
| English Requirements | Undergraduate Courses: 1) IELTS: Overall 6.0 with minimum 5.5 in each skill 2) Pearson PTE: Overall 59, No band less than 51 3) TOEFL (IBT): Overall 60, Writing –18, Listening-7, Reading-8, Speaking-16 Postgraduate Courses: 1) IELTS: Overall 6.5 with a minimum 5.5 in each skill 2) Pearson PTE: Overall 63, No band less than 51 3) TOEFL (IBT): Overall 79, Writing -18, Listening-7, Reading-8, Speaking-16 Note: Please look at the individual course and their English Language requirements before proceeding. |
| IELTS Waiver | |
| IELTS Waiver | Yes if above 70% in 12th English |
| Scholarship | |
| Scholarship | Please Refer University Website for Scholarship Confirmation |
Data Science, MSc - University of Greenwich
- University: University of Greenwich
- Course Code: PG
- Accepting Application: Accepting Application