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University of Wolverhampton: Master of Research in Data Science
| Institution | University of Wolverhampton View institution profile |
|---|---|
| Department | School of Architecture, Computing and Engineering |
| Web | www.wlv.ac.uk/ |
| enquiries@wlv.ac.uk | |
| Telephone | 0800 953 3222 |
| Study type | Taught |
Summary
The Master by Research in Data Science programme is designed to provide students with advanced knowledge and research skills in the field of Data Science. The programme emphasizes research skills development, making it an attractive option for prospective students. Comprehensive training covers research methodologies, data analysis, and critical thinking, ensuring that graduates emerge with the ability to conduct independent, high-quality research. The focus on research skills equips students with a valuable asset sought after both employers and academia.
Key aspects of the MRes programme include hands-on research projects, allowing students to contribute to the advancement of Data Science knowledge. The programme’s interdisciplinary approach prepares graduates to address complex real-world problems, drawing expertise from various disciplines. The curriculum is designed to provide flexible learning options, with module materials tailored to suit a wide variety of students, including those who are working professionals and international learners. This adaptable approach ensures that students can pursue their academic and career aspirations while accommodating their unique circumstances.
The MRes in Data Science aims to prepare students to become proficient researchers and practitioners capable of making significant contributions to the advancement of Data Science knowledge and technology. The programme is designed to provide students with a comprehensive education in Data Science.
This entails not only imparting advanced knowledge of Data Science principles and techniques but also fostering the development of essential research skills. Students are equipped with the ability to conduct independent research through training in research methodologies, experimental design, data analysis, and critical evaluation of existing literature.
Moreover, the programme emphasizes the cultivation of problem-solving abilities within the context of Data Science, enabling students to formulate research questions, develop hypotheses, design experiments, and interpret results to address real-world Data Science challenges.
Additionally, interdisciplinary perspectives are encouraged, allowing students to explore the application of Data Science techniques across various domains such as healthcare, finance, education, and cybersecurity, thereby understanding the broader societal impact of Data Science and fostering innovation. Ethical considerations are woven throughout the programme, promoting awareness of the ethical, societal, and legal implications of Data Science technologies.
Communication and presentation skills are honed to effectively articulate research findings to both technical and non-technical audiences, including writing research papers, delivering presentations, and engaging in academic discourse.
Ultimately, the programme aims to prepare students for further study at the doctoral level or careers in academia, industry, or government agencies focused on Data Science research, development, and application, providing them with a solid foundation to succeed in the rapidly evolving field of Data Science.
Master of Research - MRes
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should be educated to Honours Degree level, with a minimum of a 2:2, in Computer Science, Mathematics, Business Studies or an equivalent are with good standard of analytics contents. UK Applicants who do not hold a recognised degree or an ordinary degree, maybe considered based on a minimum of three year relevant work experience. |
| Location | University of Wolverhampton Admissions Unit Camp Street Wolverhampton WV1 1AD |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should be educated to Honours Degree level, with a minimum of a 2:2, in Computer Science, Mathematics, Business Studies or an equivalent are with good standard of analytics contents. UK Applicants who do not hold a recognised degree or an ordinary degree, maybe considered based on a minimum of three year relevant work experience. |
| Location | University of Wolverhampton Admissions Unit Camp Street Wolverhampton WV1 1AD |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should be educated to Honours Degree level, with a minimum of a 2:2, in Computer Science, Mathematics, Business Studies or a closely related discipline with a good standard of analytics content. Applicants who do not hold a recognised degree or an ordinary degree, maybe considered based on a minimum of three year relevant work experience. International Applicants: Your qualifications need to be deemed equivalent to the above entry requirements. English Language requirements are normally IELTS with an overall band score of 6.0 with a minimum of 5.5 in each element. |
| Location | University of Wolverhampton Admissions Unit Camp Street Wolverhampton WV1 1AD |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should be educated to Honours Degree level, with a minimum of a 2:2, in Computer Science, Mathematics, Business Studies or a closely related discipline with a good standard of analytics content. Applicants who do not hold a recognised degree or an ordinary degree, maybe considered based on a minimum of three year relevant work experience. International Applicants: Your qualifications need to be deemed equivalent to the above entry requirements. English Language requirements are normally IELTS with an overall band score of 6.0 with a minimum of 5.5 in each element. |
| Location | University of Wolverhampton Admissions Unit Camp Street Wolverhampton WV1 1AD |
Whether you are looking to retrain, increase your employability, enrich your CPD or progress to the next step in your career, a postgraduate qualification with the University of Wolverhampton can help you to lead the pack!
Why study at the University of Wolverhampton:
- World-leading research (REF 2021)
- Commended by the Quality Assurance Agency (QAA)
- State of the art facilities including new Built Environment campus ‘Springfield’
- Outstanding student support
- Flexible learning – part-time/full-time and 100% online courses
- Dedicated international team
- Variety of industry and …
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