+60142521561
Masters in Research Data Science
Course overview
| Qualification | Master's Degree |
| Study mode | Full-time |
| Duration | 1 year |
| Intakes | September |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | Data not available |
Advertisement
Admissions
Intakes
Fees
Tuition
- Data not available
- Local students
- Data not available
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
- We normally require an honours degree of 2.1 or above (or the equivalent if it is a non-UK degree) in a relevant subject.
- With your application you should submit a 300-500 word draft project proposal to include a project title, aim or research question, possible methods and six relevant references.
- You may be invited to informal interview, where your proposal will be discussed and appropriate optional modules selected. International students who are not able to attend an informal interview may be interviewed electronically or by telephone.
Curriculum
This Masters degree will equip you with the skills necessary to undertake sustained, independent and innovative research. You will gain the confidence to work in creative and flexible ways, and develop the ability to plan, produce and present rigorous, independent and theoretically informed studies. It also fosters the development of essential professional skills to enhance your employability, such as self-management, team work, problem solving and communication.
The taught components of the course provide a balance between training in interdisciplinary research methods and subject specific research under the supervision of UWE Bristol's active research specialists. Alongside these, you will put your skills into practice by conducting a supervised independent extended research project.
Within the taught modules, there will be a seminar programme delivered by academics and practitioners from inside and outside UWE Bristol. You will be expected to present on your own research, using skills learnt in the taught modules and gaining valuable communication experience in the process.
The course consists of two taught modules. You will then undertake a supervised extended research project in one of the available subject areas.
- Research Design and Methodologies (30 credits) covers qualitative and quantitative research methods, their use and analysis.
- Research Literature Portfolio (30 credits) a subject specific module designed to develop your research skills through reviewing, evaluating and presenting a portfolio of independently generated research material relevant to your extended project. Includes library skills development.
- Extended Research Project (120 credits) allows you to investigate a relevant research topic in detail, working with a research supervisor and drawing on the skills developed in the taught modules.